Prof. Dhiya Al-Jumeily

ISoHE Founding Member

Prof. Dhiya Al-Jumeily OBE

Professor of Artificial Intelligence/ Senior Member IEEE
PhD, MPhil, MSc, BSc, PGCHE, CITP, FHEA

 

  1. PERSONAL INFORMATION

A.1. CONTACT DETAIL

Name:                 Prof. Dhiya Al-Jumeily

Address:             Faculty of Engineering and Technology, LJMU, Liverpool, L3 3AF, UK

Phone:               +44 (0) 151 231 2578, +447736902360

Email:                  d.aljumeily@ljmu.ac.uk

Publication:       https://symplectic.ljmu.ac.uk/login.html

ORCID:                0000-0002-9170-0568

 

 

A.3. EXTERNAL PROFILES

Google Scholar:                 https://scholar.google.com/citations?pli=1&authuser=1&user=iiQg728AAAAJ

Scopus:                               https://www.scopus.com/authid/detail.uri?authorId=23090210900

ORCiD:                      https://orcid.org/0000-0002-9170-0568

dblp:                                   https://dblp.uni-trier.de/pid/59/6775.html

Research Gate:                  https://www.researchgate.net/profile/Dhiya-Al-Jumeily

Symplectic:                        https://symplectic.ljmu.ac.uk/login.html

 

A.2. HIGHLIGHTS

 

Research outcome Published   300+ peer   reviewed   international   publications
Research funding Secured Over £5M to support my research
Supervision experience Successfully supervised over 25 PhD students
Awards/Prizes See the list within the CV
Professional activities See the list within the CV
Patents

 

Image Edge Direction and Orientation Detecting Method, Pub. No. (WO/2008/119939), International Filing Date (26.03.2008), IPC (H04N 7/26), G06T 5/00 (2006.01).

 

 

A.4. PROFILE

 

An established Artificial Intelligence Professor from the UK with a wealth of experience in academia with over 5 years as a full professor and over 30 years as an academic in the UK’s higher education’s sector.

 

Proven academic management experience of Software Engineering and Artificial Intelligence Programmes (undergraduate, MSc and PhD levels), research director, deputy dean management and the management and development of academic colleagues. Professor Al-jumeily is a member of University Board of the University Board of Governors.

 

A.5. ACADEMIC QUALIFICATIONS

  • D. in Artificial Intelligence – PhD Thesis: “Intelligent Algorithms and Software for Computer-Aided Assessment”, Liverpool John Moores University, Liverpool, UK, 1999.
  • MPhil in Software Engineering, Liverpool John Moores University, 1995.
  • MSc in Software Engineering, The University of Liverpool, Liverpool, UK, 1992.
  • BSc in Software Engineering, The University of Liverpool, 1991.

 

A.6. TEACHING AND LEADERSHIP QUALIFICATIONS

  • Strategic Executive Development Programme for Diverse Leaders in HE, accredited by iLM, May 2015.
  • PGCHE Postgraduate Certificate in Teaching & Learning in HE (SEDA accredited), LJMU, 1997.

 

A.7. OTHER QUALIFICATIONS & CPDs

  • Diversity in the workplace, Liverpool John Moores University (LJMU), UK, 2014.
  • Data Protection, Liverpool John Moores University (LJMU), UK, 2014.
  • Bribery Act, Liverpool John Moores University (LJMU), UK, 2014.

 

A.8. PROFESSIONAL BODIES RECOGNITION

  • Charter IT Professional (CITP), British Computer Society (BCS), Since 2014, UK.
  • Fellow of Higher Education Academy (FHEA), Higher Education Academy, Since 2014, UK.
  • Senior Member of IEEE, The Institute of Electrical and Electronics Engineers, Since 2016, USA.
  • Member of the Council of Professors and Heads of Computing, Since 2016, UK.

 

A.9. MAIN AREA OF RESEARCH

  • Applied Artificial Intelligence and Machine Learning in Health and Medicine.
  • Digital Health, Smart Cities and Industry 4.0 applications of Computer Science and Engineering

 

A.10. MAIN AREA OF TEACHING

  • Intelligent Systems and Machine Learning
  • Advanced Databases and Data Sciences
  • Advanced Software Engineering

 

  1. CURRENT & PREVIOUS POSITIONS AND APPOINTMENTS

 

B.1 CURRENT ACADEMIC AND MANAGEMENT POSTS

B.1.1 Current Academic and Management Positions

  • Professor of Artificial Intelligence, Faculty of Engineering and Technology, LJMU, (2017-Present), UK.
  • Visiting Professor, Kazan Federal, (2016-Present), Russia.
  • Visiting Professor, Supelec University, Paris, (2014-Present), France.
  • Visiting Professor, The University of Babylon, (2014-Present), Iraq.
  • Visiting Professor, The University of Anbar, (2004-Present), Iraq.

 

 

B.1.2 Current Enterprise, Research and Leadership Positions

  • Founder and General Chair of the International Conference Series on Developments in eSystems Engineering (dese.org.uk), Technical Sponsor – IEEE, Since 2007.
  • Currently Supervising 7 PhD Students (3 as DoS).

 

 

B.2 PREVIOUS ACADEMIC AND MANAGEMENT POSTS

B.2.1 Academics & Leadership

  • Associate Dean (External Engagement), Faculty of Engineering and Technology, LJMU, UK, (Sep 2015-Oct 2018).
  • Principal Lecturer, Department of Computer Science, LJMU, UK, (2006–2017).
  • Senior Lecturer, LJMU, UK, (2000–2006).
  • Lecturer, LJMU, UK, (1997–2000).
  • Assistant Lecturer, Baghdad University, Iraq, (1987-1990).

 

B.2.2 Management

  • Programme Leader for Online MSc Courses in Computing, LJMU, UK, (2009–2015).
  • Programme Leader for Online BSc Courses in Computing, LJMU, UK, (2007–2014).
  • Programme Leader, Sc. Multimedia Systems Degree, LJMU, UK, (2000–2009).
  • Level Tutor, Sc. Software Engineering Degree, LJMU, UK, (1997–2000).

 

B.2.3 External Academic Duties

  • External Examiner, University of Malta for the BSc (Hons) in Business and IT, Malta, (2014–2017).
  • External Examiner, Coventry University for the franchise arrangement of BSc (Hons) Computing and BSc (Hons) Computer Science) at INTI International College (Penang and Subang Jaya Campuses), Malaysia, (2014–2015).
  • External Examiner, University of Bedfordshire for the following franchise arrangement (2010-2014).
    • Preston University (BSc (Hons) Information Technology), in Ajman, UAE.
  • External Examiner, University of Wales, for the following collaborative programmes (2012–2014):
    • Modern University for Technology and Information (BSc in Electrical Engineering), Cairo, Egypt.
    • Escuela Superior Internacional (BEng in Internet Engineering), Murcia, Spain.
  • Academic Advisory Board Member, Computer College, Dubai, UAE, (2011–2014).
  • Quality Advisory Team Leader, Al Khawarizmi University College, Abu Dhabi, UAE, (2004–2012).
  • Link Tutor, BSc Computer Studies programme with Al Khawarizmi University College, UAE, (1998–2004).
  • Link Tutor, BSc Computer Studies programme with Computer College, Dubai, UAE, (1998–2004).
  • External Examiner member of the Validation Committee, MSc Computer Science, Staffordshire University, June 2009.

 

B.2.4 Enterprise and External Engagement

  • Head of Enterprise, Faculty of Engineering and Technology, LJMU, UK, (2014–2016).
  • Head of Enterprise, School of Computing and Mathematical Sciences, LJMU, UK, (2010–2014).
  • Enterprise Champion, School of Computing and Mathematical Sciences, LJMU, UK, (2010–2012).

 

B.2.5 Collaboration

  • UpGrad Limited in India, leading four MSc courses.
  • Collaboration with Cheshire Constabulary, Developing and Leading the First in the world accredited Joint MSc Programme in CCTV Forensic Analysis, (2010–2014).

 

B.2.6 Research and Leadership

  • Founder and Head of Applied Computing Research Group, LJMU, UK, (2010–2016).
  • Deputy Head of the Software Distributed Research Group, LJMU, UK, (2007–2010).

 

B.2.7 Honorary Positions

  • Member of the Local Management Committee, NewMind Limited, Liverpool, UK (2015-2016).
  • Representing Liverpool JM University VC in “Iraqi Higher Education Mission”, November 2013.
  • Member of the Local Management Committee, ‘Matheson and Horn Associates’, KTP scheme, UK (2005-2007).
  • Member of the Local Management Committee, ‘Micromark, Bredisco group, KTP scheme, UK, (2006-2008).
  • Member of the Local Management Committee, ‘SCI Search & Selection, Cheshire, UK, (2002-2005).

 

  1. RESEARCH ACTIVITIES

 

B.1. POSTGRADUATE SUPERVISION & EXAMINATION

B.1.1 Postgraduate Supervision Summary

 

PhD Student Supervising   MPhil Student Supervising   Master Student Supervising
Completions: 26 (12 as DoS)

Current:          7 (3 as DoS)

 

Completions: 3

Current:          0

Completions: 50+

Current:          2

 

B.1.2 Postgraduate Examination (PhD viva)

 

PhD Examination PhD International Examination PhD Ind. Chair Examination PhD Transfer
External:   17 (PhD)

Internal:    20 (PhD)

 

Viva:   25+ (PhD)

Thesis Evaluation:  12 (PhD)

 

Independent:   3 (PhD)

 

Internal:  5 (PhD)

 

 

B.1.3 Research Assistants I Managed previously

The following is a list of research assistants and research fellows who worked under my supervision on externally funded projects.

  • Carlos Mariscal
  • David Lamb
  • Dan Williams
  • Jordan Kung
  • Chris Kelly
  • Ashraf Murtada
  • Mohammed Mehyoub
  • Jade Hind

 

B.1.4 Research Assistants currently I supervise and Manage

  • Manoj Jayabalan (2019-present)
  • Ahmed Kaky (2020-present)

 

B.1.5 PhD Successful Supervision

  • Mohamed Alloghani, (DoS) PhD Research Area: Grid Computing and E-Government, Completed May 2019.
  • Basma Abdulaimma, PhD Research Area: Data analysis using Neural Networks, Completed April 2019.
  • Jade Hind, PhD Research Area: A Novel Approach to Detecting Epistasis using Random Sampling Regularisation, November 2018.
  • Mohammed Ibrahim Khalaf, PhD Research Area: sickle cell disease based on intelligent, Completed September 2018.
  • Paul Ross McWhirter, (DoS) PhD Research Area: Data Science and Bioinformatics, Completed October 2018.
  • Sermed Abdulazeez, PhD Research Area: Development of Peer-to-Peer MMOGs”, Completed December 2017.
  • Ahmed Kaky, (DoS) PhD Thesis: ‘Machine Learning for support personalized healthcare’, August 2017.
  • Mohammed AlGhamdi, (DoS) PhD Thesis: Supporting The Learning of Computer Programming in an Early Years Education, October 2016.
  • Abdunnaser Mrabet, PhD Research Area: ‘The adoption of eCommerce in Libya’, August 2016.
  • Abdul H.M. Mohamed, PhD Thesis: An investigation into Technology Acceptance Model for Health Applications, Jointly supervised with Liverpool Hope University and Liverpool University, April 2016.
  • Rabea F Kurdi, PhD Thesis: ‘An Investigation of Readiness Assessments for E-government using Saudi Arabia as a Case Study’, Mar 2015.
  • Haya Alaskar, PhD Thesis: ‘Clustering high dimension data’, Mar 2014.
  • Shamaila Iram, (DoS) PhD Thesis: ‘Semantic Web to support intelligent search’, Mar 2014.
  • Dr Agustina Martínez-García, PhD Thesis: ‘Development of self-archiving tools to support archiving, analysis and re-use of qualitative data’, June 2013.
  • Zenib Ahmed, PhD Thesis: ‘Fast Motion Estimation for Video Processing’, Dec 2013.
  • Mohamed Alzawi, (DoS) PhD Thesis: ‘Investigation into scalable self-healing for AS’, Dec 2012.
  • Batoul Al Lawati, (DoS) PhD Thesis: ‘The effectiveness of applying game based-learning methods upon the education environment for Omani secondary classroom’, Jun 2012.
  • Naeem Radi, PhD Thesis: ‘ ‘Hybrid Predictive, Wavelet and Arithmetic Image Coding System’, May 2012.
  • Thar Baker, PhD Thesis: ‘Process OO Programming Support for Autonomic Software Engineering’, Jun 2010.
  • David Lamb, (DoS) PhD Thesis: ‘Modelling Cognitive Immunity in Large-Scale Self-Organising NNs’, Jun 2009.
  • Rozaida Ghazali, PhD Thesis: ‘Higher order Polynomial NNs for financial time series prediction’, Mar 2008.
  • Ali Al-Fayadth, PhD Thesis: ‘Image Compression Using Improved Hybrid Classified Vector Quantiser and its application to Medical images’, Apr 2008.
  • Jordan Pang Kung, (DoS) PhD Thesis: ‘Intelligent Algorithms for an Algebra Tutoring system’ Dec 2002.

 

B.1.6 MPhil Successful Supervision

  • Glyn Hughes, (DoS) MPhil Thesis: ‘A Declarative Language Framework for Cloud Computing Management’, June 2017.
  • Miss Asmaa Mahdi, MPhil Thesis: ‘Time Series Analysis of Networked Package Application Usage and Prediction’, Mar 2010.
  • Shahzad Muhammad Tayyab, MPhil Thesis: ‘Design of a new non-blocking commit protocol’, May 2009.

 

B.1.7 PhD Current Supervision

  • Mathew Harper, PhD Research Area: Intelligent digital memory to support human memory for individuals with Dementia, Started 2019.
  • Salah Ben Amer, PhD Research Area: Intelligent web crawlers-based framework for predicting illegal migration across the central Mediterranean Sea into Europe, Started 2018.
  • Kieran Latham, PhD Research Area: Immersive and Embedded Technology for Endovascular Thrombectomy Training Platform, Started 2018.
  • Miss Sin Ying Tan, (DoS) PhD Research Area: An Investigation into the Development of an Intelligent Framework to Support Behavioural Tracking and Analysis, Started 2017.
  • Osman Salih, PhD Research Area: Smart Shunting and Monitoring of Hydrocephalus Patients, Started 2018.
  • Miss Hiba Al-Smadi, (DoS) PhD Research Area: Intelligent Approach to Improve Long-Term Follow-Up of Chronic Disease, Started 2017.
  • Robert Keight, (DoS) PhD Research Area: AI and Machine Learning for Health Diagnosing, Start May 2015.

 

B.1.8 PhD Current Supervision

  • Mathew Harper, PhD Research Area: Intelligent digital memory to support human memory for individuals with Dementia, Started 2019.

 

B.1.9 PhD Current Supervision (as external for International Universities)

  • Universiti Teknologi Mara, Malaysia, Mr. Zuraira Binti Libasin, PhD Research Area: Long Gaps Missing Values Imputation in Air Pollution Data Set Using Hybrid Method, Started Feb 2020.

 

B.1.10 MSc Students Supervision  

  • Successfully supervising over 50 MSc project students in various technical areas (1999- Present).

 

B.1.11 PhD External Examination Experience

  • University of Bradford-November 2019

Thesis Title, ‘Intelligent based Packet Scheduling for Multi-Service in Internet Protocol/Multi-protocol Label Switching (IP/MPLS) Networks’.

 

  • University of Salford-October 2019

Thesis Title: ‘Machine Learning and Autonomse System for Human Gait analysis and Dieases Diagnosis’.

 

  • University of Salford-January 2019

Thesis Title: ‘Binaural Sound Source Localization using Machine Learning with Spiking Neural Networks Features Extraction’.

 

  • University of Buckingham-September 2018

Thesis Title: ‘A Modular Approach to Identify Correct Clusters and Outliers in Data Streams’, September 2018.

  • The University of Liverpool-August 2018

Thesis Title: “Automatic Computer Vision Systems for Aquatic Research”.

  • London School of Commerce, PhD Thesis Viva, Improving E-Government Services Security Using Leadership by Example, 24th July 2017.
  • University of Salford, Ahmed Hani Yousif Al-Noori, PhD Thesis Viva, ‘Robust Speaker Recognition In Presence Of Non-Trivial Environmental Noise, September 2017.
  • Nottingham Trent University, PhD Thesis Viva, Automated Detection of Covert Channels in IPv6 and mitigation the security threats in Network Protocol TCP/IPv6, September 2017.
  • Coventry University, Hanan Alshanbari, PhD Thesis Viva, Automatic Breast Cancer Classification Using Novel Feature Extraction for Magnetic Resonance Imaging, July 2017
  • University of Salford, Dr. Shafaq Naheed Khan, PhD Thesis Viva, ‘IT Controls in the Public Cloud: Success Factors for Allocation of Roles and Responsibilities, February 2017.
  • PhD Assessor, Thesis Title: Image Mining Techniques to Enhance the Classification Accuracy On Brain Glioma, Bishop Heber College (Autonomous), Trichy, India. (It will be done by written report).
  • Coventry University, PhD Thesis Viva, Effects of Air Pollution on Cardiovascular Diseases in Bangalore, India: An Environmental Health Information System Model, October 2015.
  • The University of Liverpool, PhD Thesis Viva, Analysis of human and animal behaviours based on machine learning approach, September 2015.
  • The University of Salford, PhD Thesis Viva, A Framework for the implementation of B2C E-Commerce in Saudi Arabia: A comparative Study of Saudis Living in ME and Those living in the UK, September 2015.
  • Leeds Beckett University, DBA Professional Doctorate Viva, Leadership and Innovation: Innovation Capabilities Strategies in the Canadian Manufacturing Sector, August 2015.
  • Liverpool Hope University, PhD Transfer Viva, “A Technology Acceptance Model for Health Applications”, October 2011.
  • Coventry University, PhD Thesis Viva, A Novel Model for Managing Health Informatics in Saudi Arabia, March 2011.

 

B.1.12 Internal Examination Experience

  • PhD Viva, Hector Ruiz, PhD Thesis: ‘Practical Reasoning Models for Situated Autonomic and Deliberative Regulation Systems’, Apr 2013.
  • MPhil Viva, Majed Shafi, MPhil Thesis: ‘An Investigation of user experience and service quality online in the Saudi Banks’, Mar 2013.
  • PhD Viva, Ruth Thompson, PhD Thesis: ‘A Set Theory Decompoistion of Anthony Stafford Beer’s Viable System Model; Aspirant of Surpassing Autonomic Computing‘, Apr 2011.
  • PhD Viva, Ali Obied, PhD Thesis: ‘Practical Reasoning Models for Situated Autonomic and Deliberative Regulation Systems’, May 2008.
  • PhD Viva, Martin Randles, PhD Thesis: ‘A Specification Method for the Scalable Self-Governance of Complex Autonomic Systems’, Apr 2008.
  • PhD Viva, Victoria Dawn Craig, PhD Thesis: ‘A Methodological Paradigm Shift to Augment a Geographical Information System Planning Framework’, Nov 2007.
  • PhD Viva, Phil Miseldine, PhD Thesis: ‘Language Support for Process-Oriented Programming of Autonmic Software Systems’, Feb 2007.
  • PhD Viva, Teresa Farran, PhD Thesis: ‘The evaluation of an intelligent learning system as a learning tool for the solution of numerical problems’, Feb 2007.
  • MPhil Viva, Adam Knowles, MPhil Thesis: ‘Financial time series prediction using higher order pipelined network, Apr 2006.

 

 

 

B.2. RESEARCH OUTPUTS

B.2.1 Research Publication Summary

 

Thesis Published

3

Journal Articles

100+

Books (Writing/Editing)

12

Book Chapters

14

Patents

1

Conference Papers

200+

 

B.2.2 Patents

  • Image Edge Direction and Orientation Detecting Method, Inventors (A. Al-Fayadh, Al-Jumeily, A. Hussain), Pub. No. (WO/2008/119939), International Filing Date (26.03.2008), IPC (H04N 7/26), G06T 5/00 (2006.01).

 

B.2.3 Best Paper Award

  • I received the Best Paper Award in the 5th ICIDM conference, Springer, 2018.
  • The best paper award for paper entitled, Gamification in e-Governance: Development of an online gamified system to enhance government entities services delivery and promote public’s awareness. Presented at 5th International Conference on Information and Education Technology, 10th -12th January 2017, Tokyo, Japan.
  • The best paper award for paper entitled, “Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for financial time series prediction,” presented at the 2014 Tenth International Conference on Intelligent Computing (ICIC2014), 3-6 August 2014, Taiyuan, China.

 

B.2.4 Books (Writing or/and Editing)

  • Al-Jumeily, J. Hind, J. Mustafina, A. Al-Hajj, A. Hussain, E. Magid, H. Tawfik, Editing, ‘Proceeding of the 12th International Conference Developments on eSystems Engineering’, IEEE Computer Society, ISSN 2161-1343, 2019.
  • Al-Jumeily, A. Hussain, H. Tawfik, and Jade Hind, Editing, ‘Proceeding of the 11th International Conference Developments on eSystems Engineering’, IEEE Computer Society, ISSN 2161-1343, 2018.
  • H Hamdan, Al-Jumeily, A. Hussain, H. Tawfik, and Jade Hind, Editing, ‘Proceeding of the 10th International Conference Developments on eSystems Engineering’, IEEE Computer Society, ISSN 2161-1343, 2017.
  • M. Thampi, S. Krishnan, J.M. Corchado Rodriguez, S. Das, M. Wozniak, D. Al-Jumeily, Editing, “Advances in Signal Processing and Intelligent Recognition Systems”, ISBN 978-3-319-67934-1, Volume 678, Springer 2017.
  • Al-Jumeily, A. Hussain, H. Tawfik, H Hamdan, Tom Dawson, and Jade Hind, Editing, ‘Proceeding of the 9th International Conference Developments on eSystems Engineering’, Editing, IEEE Computer Society, ISBN 978-1-5090-5486-2, ISSN 2161-1343, 2016.
  • Al-Jumeily, A. Hussain, C. Mallucci and C. Oliver, Writing, ‘Applied Computing in Health and Medicine’, Elsevier Publishing, ISBN: 9780128034682, 2015.
  • Al-Jumeily, A. Hussain, Editing, ‘Digital Models of 8 Monuments from Romania’, ISBN: 078-1-902-560-30-4, 2014.
  • Papadopoulos, A. Hussain, D. Al-Jumeily, N. Radi, A. Dobb, Editing, “Proceedings of the 7th International Development of eSystems Engineering”, DeSE14, Publish by LJMU, ISBN: 978-1-902560-29-8, 2014.
  • Hussain, D. Al-Jumeily, N. Radi, H. Tawfik, and R. Radvan, Editing, ‘Proceeding of the 6th International Conference Developments on eSystems Engineering’, IEEE Computer Society, ISBN 978-1-4799-5263-2,ISSN 2161-1343, 2013.
  • Hussain, H. Tawifik, D. Al-Jumeily and O. Abuelmaatti, Proceedings of the 4th International Conference on Developments in eSystems Engineering’, IEEE Computer Society, ISBN 978-0-7695-4593-9, ISSN 2161-1343, 2011.
  • Tawifik, A. Hussain, D. Al-Jumeily and A. Nagar, Editing, Proceeding of the 3rd International Conference on ‘Developments in eSystems Engineering’, IEEE Computer Society, ISBN 978-0-7695-4160-0, ISSN 2161-1343, 2010.
  • Al-Jumeily, A. Nagar, H. Tawifik, A. Hussain and P. Lisboa, Editing, ‘Proceeding of the 2nd International Conference on Developments in eSystems Engineering’, IEEE Computer Society, ISBN 978-0-7695-3912-6, ISSN 2161-1343, 2009.

 

B.2.5 Published Peer Reviewed Book Chapters

 

  • Alloghani, Baker T., Al-Jumeily D., Hussain A., Mustafina J., Aljaaf A.J.; Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, Vol 855. Springer, Cham, 2020.
  • Alloghani M., Al-Jumeily D., Hussain A., Liatsis P., Aljaaf A.J.; “Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients”. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, Vol 855. Springer, Cham, 2020.
  • Alloghani M., Al-Jumeily D., Hussain A., Mustafina J., Baker T., Aljaaf A.J. (2020) Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, Vol 855. Springer, Cham.
  • Mohamed Alloghani, Dhiya Al-Jumeily, J. Mustafina, Abir Hussain, and Ahmed J. Aljaaf, Book chapter entitled, “A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data”; Published in the book “Supervised and Unsupervised Learning for Data Sciences”, ISSN 2522-848X (Unsupervised and Semi-Supervised Learning Book), Springer Nature Switzerland, Springer 2020.
  • Ameer A. Jebur, Dhiya Al-Jumeily, Khalid R. Aljanabi, Rafid M. Al Khaddar, William Atherton, Zeinab I. Alattar, Adel H. Majeed, and Jamila Mustafina Book chapter entitled, “New Applications of a Supervised Computational Intelligence (CI) Approach: Case Study in Civil Engineering”; Published in the book “Supervised and Unsupervised Learning for Data Sciences”, ISSN 2522-848X (Unsupervised and Semi-Supervised Learning Book), Springer Nature Switzerland, Springer 2020.
  • Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Ahmed J. Aljaaf and Jamila Mustafina; Book chapter entitled, “Early Detection and Prediction of Lung Cancer using Machine Learning Algorithms Applied on a Secure Healthcare Data System Architecture”; Published in the book entitled: “Machine Learning for Computer and Cyber Security: Principles, Algorithms, and Practices”, CRC Press, Taylor & Francis, 2019.
  • Ahmed J. Aljaaf, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain, Mohamed Alloghani, and Jamila Mustafina; Book chapter entitled, “A Study of Data Classification and Selection Techniques to Diagnose Headache Patients”, Published in the book entitled: Applications of Big Data Analytics – Trends, Issues, and Challenges, ISBN 978-3-319-76471-9, DOI: 10.1007/978-3-319-76472-6_6, Springer, 2018.
  • Hamid, D. Al-Jumeily, J. Mustafina, Book chapter entitled, “Evaluation of the dynamic cybersecurity risk using the entropy weight method”, Published in the book entitled: Technology for Smart Futures (pp. 271-287), ISBN 978-3-319-60136-6, Springer, 2018.
  • Keight, D. Al-Jumeily, A. Hussain P. Fergus, and J. Mustafina; “Big data and data science applications for independent and healthy living”. Published in the book entitled: Technology for Smart Futures (pp. 77-111), ISBN 978-3-319-60136-6, Springer, 2018.
  • Al-Jumeily, M. Al-Zawi, A. J. Hussain and C. Dobre “The Application of Adaptive Pipelined Neural Network Structure in Self-healing System”, Published in the book entitled: Big Data and Internet of Things: A Roadmap for Smart Environments by Nik Bessis and Ciprian Dobre, Volume 546, ISBN: 978-3-319-05028-7, pp 111-136, Springer, 2014.
  • Randles, D. Lamb, D. Al-Jumeily; “Recommender Systems: Network Approaches”, chapter 4 in book entitled: “Multimedia Services in Intelligent Environments” by Springer-Verlag, Germany, ISBN: 978-3-319-00371-9, 2013.
  • Ghazali and D. Al-Jumeily, “Application of Artificial Higher Order Neural Networks to Financial Times Series Predication”, chapter 12 for book entitled: “Artificial Higher Order Neural Networks for Economics and Business By Ming Zhang”, ISBN: 978-159904897-0, 2009.

 

B.2.6 Peer Reviewed Academic Journal Publications

  • J. Aljaaf, T. M. Mohsin, D. Al-Jumeily, M. Alloghani; A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ, Journal of Biomedical Informatics, 103766, https://doi.org/10.1016/j.jbi.2021.103766, Elsevier, April 2021.
  • Irshad, Z. H. Abbas, Z. Ali, G. Abbas, T. Baker and D. Al-Jumeily; Wireless Powered Mobile Edge Computing Systems: Simultaneous Time Allocation and Offloading Policies, Open Access Journal by MDPI, Electronics 10, no. 8:965, https://doi.org/10.3390/electronics10080965, April 2021.
  • Ghareeb, A. Hussain, W. Khan, D. Al-Jumeily, T. Baker, R. Al-Jumeily, “Dataset of Student Level Prediction in UAE “, Journal of Data in Brief, Elsevier, Accepted Waiting for Publication, March 2021.
  • Baker, D. Al‐Jumeily, Z. Maamar, Z. Tari, “Semantic eSystems: Engineering methods, techniques, and tools”, Journal of Software: Practice and Experience, 51:487–488, Wiley, January 2021.
  • Khan, A. J. Hussain, H. Alaskar, T. Baker, F. Ghali, D. A-Jumeily, and A. Al-Shamma’a, “Prediction of Flood Severity Level via Processing IoT Sensor Data Using a Data Science Approach,” IEEE Internet of Things Magazine, vol. 3, no. 4, pp. 10-15, doi: 10.1109/IOTM.0001.1900110, December 2020.
  • A. Makki, T. T. Nguyen, J. Ren, D. Al-Jumeily and W. Hurst, “Estimating Road Traffic Capacity,” IEEE Access, vol. 8, pp. 228525-228547, doi: 10.1109/ACCESS.2020.3040276, 2020.
  • Khalaf, H. Alaskar, AJ Hussain, T. Baker, Z. Maamar, R. Buyya, P. Liatsis, W. Khan, H. Tawfik and D. Al-Jumeily, “IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models,” in IEEE Access, vol. 8, pp. 70375-70386, doi: 10.1109/ACCESS.2020.2986090, April 2020.
  • Alloghani, A. Aljaaf, A. Hussain, T. Baker, J. Mustafina, D. Al-Jumeily, M. Khalaf; “Implementation of machine learning algorithms to create diabetic patient re-admission profiles”, BMC Medical Informatics and Decision Making, no. 1, 2020.
  • Hurst, Casimiro A. Curbelo Montañez, N. Shone and D. Al-Jumeily, “An Ensemble Detection Model using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities”, IEEE Access, vol. 8, pp. 7877-7898, doi: 10.1109/ACCESS.2020.2964885, Jan. 2020.
  • S. Hashim, P. Kot, S. L. Zubaidi, R. Alwash, R. Al Khaddar, A. Shaw, D. Al-Jumeily, M. H. Aljefery; “Energy efficient electrocoagulation using baffle-plates electrodes for efficient Escherichia Coli removal from Wastewater, Journal of Water Process Engineering”, Vol. 33, Elsevier, Feb 2020.
  • Alloghani., D. Al-Jumeily , A Hussain., P Liatsis., A.J. Aljaaf (2020) Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, Vol 855. Springer, Cham.
  • Ahmed, AJ Hussain, W. Khan, T. Baker, H. Al-Askar, J. Lunn, R. Al-Shabandar, D. Al-Jumeily, and P. Liatsis “Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics”, Remote Sensing, no. 6, ISSN 2072-4292, March 2020.
  • Alloghani, D. Al-Jumeily, A. Hussain, J. Mustafina, T. Baker, AJ Aljaaf, “Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks”. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, Vol 855. Springer, Cham, 2020.
  • Hind, P. Lisboa, AJ Hussain, D. Al-Jumeily; “A Novel Approach to Detecting Epistasis using Random Sampling Regularisation” IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2019.2948330. Epub 2019 Oct 21. PMID: 31634840, 2019.
  • Alaskar, A. Hussain, N. Al-Seem, P. Liatsis, and D. Al-Jumeily; “Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images”, Sensors (Basel, Switzerland), Volume 19, Issue 6, 2019.
  • M Alloghani, MM Alani, D. Al-Jumeily, T. Baker, J. Mustafina, A Hussain, AJ Kaky, “A Systematic Review on the Status and Progress of Homomorphic Encryption Technologies”, Journal of Information Security and Applications, 48, Elsevier, 2019.
  • Alloghani, A. Aljaaf, A. Hussain, T. Baker, J. Mustafina, D. AL-Jumeily, M. Khalaf; “Implementation of machine learning algorithms to create diabetic patient re-admission profiles” BMC Medical Informatics and Decision Making, Vol. 19, Supplement 9, December 2019.
  • A. Rilo, A. Hussain, M. Al-Taei, T. Baker, D. Al-Jumeily; “Dynamic Neural Network for Business and Market Analysis”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11643 LNCS :77-87, 2019.
  • R. McWhirter, A. Hussain, D. Al-Jumeily, I. A. Steele, M. Vellasco, “Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data”, Expert Systems with Applications, Vol. 131, pp. 94-115, 2019.
  • Ahmed J. Aljaaf, Libby Van Tonder, Conor Mallucci, Dhiya Al-Jumeily, Abir Hussain and Mohamed Alloghani; “Patients Attitude to Technology: A way to improve hydrocephalus management and follow up using smartphone intelligent application”, Journal of Medical Systems, 43 (9), 295, 2019.
  • S Al-Kafri, S. Sudirman, A. Hussain, D. Al-Jumeily, F. Natalia, H. Meidia, N.k Afriliana, W. Al-Rashdan, M.d Bashtawi, M. Al-Jumaily; “Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection through Semantic Segmentation using Deep Neural Networks”, IEEE Access, Vol. 7, pp. 43487-43501, 2019.
  • Kendrick, T. Baker, Z. Maamar, A. Hussain, R. Buyya, and D. Al-Jumeily; “An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-based, Memory-driven Approach”, IEEE Transactions on Sustainable Computing, November 2018.
  • Hussain, D. Al-Jumeily, A. Aljaaf and N. Radi, “Backpropagation Approach Supported by Image Compression Algorithm for the Classification of Chronic Condition Diseases,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2018.2878556, October 2018.
  • R. McWhirter, I. A. Steele, A. Hussain, D. Al-Jumeily, M. M. B. R. Vellasco; “GRAPE: Genetic Routine for Astronomical Period Estimation”, Monthly Notices of the Royal Astronomical Society, 479 (4), 5196-5213, 2018.
  • Kendrick, T. Baker, Z. Maamar, A. Hussain, R. Buyya, D. Al-Jumeily; “An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-based, Memory-driven Approach”, IEEE Transactions on Sustainable Computing,
  • Aldawsari B, Thar Baker, Asim M, Maamar Z, Al-Jumeily D, Alkhafajiy M. A Survey of Resource Management Challenges in Multi-cloud Environment: Taxonomy and Empirical Analysis Azerbaijan Journal of High Performance Computing, Vol 1, Issue 1, pp. 51-65, 2018.
  • Petrov, M. Alloghani, A. Hussain, D. Al-Jumeily, J. Mustafina, L. Slavina; “Quality Improvement of Educational Systems: Using iPads and Smart Tablets for Autism Learners to Accomplish Class Activities”, International Journal of Scientific Study, ISSN: 2321-6379, Vol 5, pp. 117-120, DOI: 10.17354/ijssSept/2017/025, Issue 6, September 2017.
  • Fergus, A. Hussain, D. Al-Jumeily, DS Huang, N. Bouguila, “Classification of Caesarean Section and Normal Vaginal Deliveries Using Foetal Heart Rate Signals and Advanced Machine Learning Algorithms”. BioMedical Engineering OnLine, OnLine, BioMed Eng OnLine (2017) 16:89 DOI 10.1186/s12938-017-0378-z., Springer ISI Impact factor 1.382.
  • khalaf, A. Hussain, R. Keight, D. Al-Jumeily, P. Fergus, R.  Keenan, P. Tso, (2017), “Machine Learning approaches to the application of Disease Modifying Therapy for Sickle Cell using Classification Models”, Neurocomputing, Volume: 228   Special Issue: SI,   pp. 154-164, Elsevier, ISI Impact factor 1.634.
  • Fergus, A. Hussain, D. Al-Jumeily, A. kaky, J. Lunn, (2017), “A Data Science and Machine Learning Approach to Measure and Monitor Physical Activity in Children”, Neurocomputing, Volume: 228, Special Issue: SI,   pp. 220-230, Elsevier, ISI Impact factor 1.634.
  • J. Aljaaf, D. Al-Jumeily, A.J. Hussain, P. Fergus and M. Al-Jumaily, (2016), (WIP16-0232), “Headache Diary: a mobile application for patients with chronic headache”, Pain Practice. Volume 16, Issue Supplement S1, Wiley-Blackwell, ISSN: 1530-7085, ISI Impact factor 2.317.
  • J. Hussain, D. Al-Jumeily, H. Al-Askar and N. Radi, “Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for financial time series prediction”, Neurocomputing, Volume 188, Elsevier, 2015, ISSN:  0925-2312, ISI Impact Factor (IF): 2.005, 2016.
  • Al-Jumeily, A. J. Hussain, O. Abuelmaatti, P. Fergus, and J. Lunn, “An open learning system for special needs education”, The international Journal of Knowledge Management & E-Learning, Special Issue Entitled “Models, technologies and approaches toward widening the Open Access to learning and education”, Vol.8, No.1, ISSN 2073-7904, IF: 1.052, 2016.
  • Aday Curbelo Montañez, C., Fergus, P., Hussain, A., Al-Jumeily, D., Abdulaimma, B., & Al- Askar, H.; “A genetic analytics approach for risk variant identification to support intervention strategies for people susceptible to polygenic obesity and overweight”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9771 (pp. 808-819), 2016. doi:10.1007/978-3-319-42291-6_80.
  • Al Kafri, A. S., Sudirman, S., Hussain, A. J., Fergus, P., Al-Jumeily, D., Al-Jumaily, M., & Al-Askar, H. (2016). A framework on a computer assisted and systematic methodology for detection of chronic lower back pain using artificial intelligence and computer graphics technologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 9771 (pp. 843-854). doi:10.1007/978-3-319-42291-6_83.
  • McWhirter, P. R., Wright, S., Steele, I. A., Al-Jumeily, D., Hussain, A., & Fergus, P. (2016). A dynamic, modular intelligent-agent framework for astronomical light curve analysis and classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9771 (pp.820-831). doi:10.1007/978-3-319-42291-6_81.
  • Hussain, P. Fergus, H. Al-askar, D. Al-Jumeily, “Utilising Artificial Intelligence Techniques to Predict Preterm Deliveries in Pregnant Women”, (Accepted, waiting for publication), Neurocomputing, ISSN: 0925-2312, IF: 2.005, 2016.
  • Lunn, M. Khalaf, A. j. Hussain, D. Al-Jumeily, A. Pich, & S. McCarthy, “The use of serious gaming for open learning environments”. The international Journal of Knowledge Management & E-Learning, Special Issue Entitled “Models, technologies and approaches toward widening the Open Access to learning and education”, Vol.8, No.1, ISSN 2073-7904, IF: 1.052, 2016.
  • Aljaaf, A., Al-jumeily, D., Hussain, A., Fergus, P., al-jumaily, M., & Hamdan, H.; “Partially Synthesised Dataset to Improve Prediction Accuracy (Case Study: Prediction of Heart Diseases)”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9771, 2016 (pp. 855-866). doi:10.1007/978-3-319-42291-6_84.
  • Khalaf, A. J. Hussain, D. Al-Jumeily, R. Keight, R. Keenan, P. Fergus, I. O. Idowu, “Training neural networks as experimental models: Classifying biomedical datasets for sickle cell disease”. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 9771 (pp. 784-795), 2016. doi:10.1007/978-3-319-42291-6_78.
  • Hussain, W. De-Sousa, D. Al-Jumeily, P. Fergus, “The Study of Identity Theft: Credit Card Fraud”, International Journal of Artificial Intelligence and Soft Computing, (Accepted, waiting for publication), ISSN: 1755-4950, 2016.
  • Al-Jumeily, A. Hussain, M. Alghamdi, C. Dobbins and J. Lunn, “A Framework to Support an Intelligent Tutorial System for Computer Programming”, Research and Practice in Technology Enhanced Learning: Special Issue on Emerging Trends for Open Access Learning; a SpringerOpen Journal, Vol. 10, Issue 1, ISSN 1793-7078, 2015.
  • J. Aljaaf, D. Al-Jumeily, A. J. Hussain, P. Fergus, M. Al-Jumaily and N. Radi, “A Systematic Comparison and Evaluation of Machine Learning Classifiers Using Headache Data Set”, Advanced Intelligent Computing Theories and Applications, Chapter 12, Volume 9227 of the Series Lecture Notes in Computer Science, ISSN 0302-9743, pp 101-108, Springer International Publishing 2015.
  • Al-Jumeily, A. J. Hussain, P. Fergus and N. Radi, “Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals”, Intelligent Computing Theories and Methodologies, Volume 9226 of the Series Lecture Notes in Computer Science, ISSN 0302-9743, pp 654-664, Springer International Publishing 2015.
  • Al-Jumeily, S. Iram, F. Vialatte, P. Fergus and A. Hussain, “A Novel Method of Early Diagnosis of Alzheimer’s Disease Based on EEG Signals”, The Scientific World Journal, Volume 2015, Article ID 931387, Hindawi Publishing, ISSN: 2356-6140, IF: 1.219, 2015.
  • Al-Jumeily, A. Hussain, and P. Fergus “Using Adaptive Neural Networks to Provide Self-Healing Autonomic Software”, the International Journal of Space-Based and Situated Computing, Inderscience, Vol. 5(3), ISSN: 2044-4907, 2015.
  • Fergus, D. Hignett, A. Hussain, D. Al-Jumeily, K. Abdel-Aziz, ‘Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques’, BioMed Research International, Hindawi, ISSN:2314-6141, ISI IF: 2.706, 2015.
  • Al-Jumeily, A. J. Hussain, “The Performance of Immune Based Neural Network with Financial Time Series Prediction”, Cogent Engineering, Taylor and Francis Online, DOI:10.1080/23311916.2014.985005, 2: 985005, ISSN: 2331-1916, 2015.
  • Iram, P. Fergus, D. Al-Jumeily, A. Hussain, and M. Randles, “A Classifier Fusion Strategy to Improve the Early Detection of Neurodegenerative Diseases”, the International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 5, No.1, Inderscience, ISSN: 1755-4950, pp. 23-44, 2015.
  • Alghamdi, A. W. Symons, D. Al-Jumeily, A. J. Hussain, “Supporting the Learning of Computer Programming in Early Years Schooling”, accepted in International Journal of Information Systems (IJ-IS), ISSN: 2356-5896, 2015.
  • Fergus, A. Hussain, D. Hignett, D. Al-Jumeily, K. Abdel-Aziz and H. Hamdan, “A Machine Learning System for Automated Whole-Brain Seizure Detection”, Applied Computing and Informatics, ISSN: 2210-8327, Elsevier, 2015.
  • Fergus, A. Hussain, D. Al-Jumeily, N. Radi; “A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9226, ISSN 0302-9743, 2015.
  • Fergus, A. Hussain, D. Al-Jumeily, I. Idowu, and H. Al-Askar, “Advanced Artificial Neural Network Classification for Detecting Preterm Births Using EHG Records”, Neurocomputing, ISSN 0925-2312, DATE.
  • Fergus, A. Hussain, D. Al-Jumeily, H. Hamdan, “A Machine Learning System for Automatic Detection of Preterm Activity Using Artificial Neural Networks and Uterine Electromyography Data”, Int. J. of Adaptive and Innovative Systems, Inderscience publisher, Vol. 2, No. 2, 2015, ISSN: 1740-2107, 2015.
  • Hussain, D. Al-Jumeily, J. Lunn and S. McCarthy, “The Use of Serious Gaming for Education and Open Learning”, Knowledge Management & E-Learning: An International Journal (KM&EL) ISSN 2073-7904, EISSN 2073-7904, (Accepted, waiting for publication), 2015, Impact factor 1.052.
  • Al-askar, D. Lamb, A. J. Hussain, D. Al-Jumeily, M. Randles and P. Fergus “Predicting Financial Time Series Data Using Artificial Immune System-Inspired Neural Networks”, the International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 5, No.1, Inderscience, ISSN: 1755-4950, pp. 45-68, 2015.
  • J. Hussain, D. Al-Jumeily, H. Al-Askar and N. Radi, “Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for financial time series prediction”, Neurocomputing, Elsevier, 2015, ISSN:  0925-2312, ISI Impact factor 1.634.
  • Alloghani, A. Hussain, D. Al-Jumeily and O. Abuelma’atti, “Technology Acceptance Model for the Use of M-Health Services among Health-Related Users in UAE,” 2015 International Conference on Developments of E-Systems Engineering (DeSE), Dubai, 2015, pp. 213-217. doi: 10.1109/DeSE.2015.58
  • Hussain, D. Al-Jumeily, N. Radi, P. Lisboa; ‘Hybrid Neural Network Predictive-Wavelet Image Compression System’, Volume 151, Part 3, Neurocomputing, Elsevier Publishing, ISSN:  0925-2312,pp. 975–984, ISI Impact factor 2.01, 2015.
  • Hussain, P. Fergus, H. Al-Askar, D. Al-Jumeily, “Dynamic Neural Network Architecture Inspired by The Immune Algorithm to Predict Preterm Deliveries in Pregnant Women”, Neurocomputing, Volume 151, Part 3, Elsevier, ISSN:  0925-2312, pp. 963–974, ISI IF:2.005, 2015.
  • Abdel-Aziz, A. Aljaaf, D. Al-Jumeily, A. Hussain, P. Fergus, “A Novel mobile health application for patients with chronic headache”, The Journal of Headache and Pain, 15(Suppl 1):D1, ISSN: 1129-2369, springer open, IF:3.28, 2014.
  • Al-Jumeily, R. Ghazali and A. Hussain; “Predicting Physical Time Series using Dynamic Ridge Polynomial Neural Networks”, PLoS ONE Open Access Vol. 9, Issue 8: e105766, IF: 4.09, 2014.
  • Al-Jumeily, Abir Hussain, Steven Macilwee; “Investigation Of Green Disposal Of Smartphones”, Advanced Materials Research, Vol. 1051, ISSN: 1022-6680, pp.622-626, 2014.
  • Al-Jumeily, A. Hussain, ‘E-Commerce and Visually Impaired’; International Journal of Enhanced Research in Management & Computer Applications, ISSN: 2319-7471, Vol. 3 Issue 8, ER publications, IF: 1.147, 2014.
  • Al-Jumeily, A. Hussain, “The Impact of cultural factors on technology acceptance: A Technology Acceptance Model across Eastern and Western cultures”, International Journal of Enhanced Research in Educational Development (IJERED), ISSN: 2320-8708, Vol. 2, Issue 4, ER publications, IF: 1.125, 2014.
  • Al-Jumeily, M. Al-Zawi, A. Hussain and C. Dobre; “Adaptive Pipelined Neural Network Structure in Self-aware Internet of Things”. Big Data and Internet of Things: A Roadmap for Smart Environments Studies in Computational Intelligence, Volume 546, ISSN 1860-949X, Springer, 2014.
  • Al-Jumeily, S. Iram, A. Hussain, Francois-Benois Vialatte, P. Fergus, “Early Detection method of Alzheimer¡¯s disease Using EEG Signals”, The Springer Book Series Lecture Notes in Bioinformatics (LNBI8590), ISSN 0302-9743, Springer 2014.
  • Al-Jumeily, A. Hussain, E. Brown, S. Crate; ‘Scalable Frameworks for Content-Based Image Retrieval’, International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463, Vol. 3, Issue 5, 2014, ER publications, IF: 1.252, 2014.
  • Hussain, H. Al-Askar and D. Al-Jumeily; “Recurrent Neural Network Inspired by the Immune Algorithm for Time Series Prediction,” Book Series Lecture Notes in AI, ISSN: 2161-4393, ISBN:978-1-4673-6128-6, 2014.
  • Fergus, A. Hussain, D. Al-Jumeily, “A Smart Framework for Predicting the Onset of Nocturnal Enuresis (PrONE) in Children and Young People”, the International Journal of Engineering & Technical Research, Vol. 2, Issue 11, ISSN: 2321-0869, pp. 373-379, IF: 1.315, 2014.
  • Fergus, P. Cheung, A. Hussain, D. Al-Jumeily, C. Dobbins, S. Iram; Prediction of Preterm Deliveries from EHG Signals Using Machine Learning, PLoS ONE, Vol. 8, Issue 10, e77154. doi:10.1371/journal.pone.0077154, IF: 4.09, 2013 (NoC=16).
  • Farrugia, D. Al-Jumeily, ‘The Design, Implementation and Evaluation of a Web-based Student Teachers’ ePortfolio (STeP)’, International Journal of Web Applications (IJWA), Volume 4, Number 2, June 2012.
  • Fergus, A. Attwood and C. Dobbins, G. Stratton, A. Hussain, D. Al-Jumeily and M. Randles; “Monitoring and Measuring Physical Activity and Sedentary Behavior”, Journal of Healthcare Technology and Management, ISSN 1368-2156, Vol. 13, Nos. 5/6, Inderscience, 2012.
  • Fergus, S. Iram, D. Al-Jumeily, M. Randles and A. Attwood, “Home-Based Health Monitoring and Measurement for Personalised Healthcare”, J. of Medical Imaging and Health Informatics, Vol. 2, doi:10.1166/jmihi.2012.1059, 2012.
  • Al-Fayadh, A. Hussain, P. Lisboa and D. Al-Jumeily, “Novel Hybrid Classified Vector Quantisation using Discrete Cosine Transform for Image compression”, Journal of Electronic Imaging, Vol. 18, Issue 2, doi: 10.1117/1.3116564, SPIE, 2009, Impact factor 1.061.
  • Hussain, P. Liatsis, D. Al-Jumeily, A.K. Nagar and H. Tawfik; “Physical Time Series Prediction Using Recurrent-Pi-Sigma Neural Networks” Int. Journal of Artificial Intelligence and Soft Computing, Vol. 1, No. 1, pp.130-145, Inderscience, 2008.
  • Hussain, R. Ghazali and D. Al-Jumeily; “Dynamic Ridge Polynomial Neural Networks for multi-step financial time series prediction” International Journal of Intelligent Systems Technologies and Applications, Vol. 5, No. 1-2, pp. 145-165, Inderscience, 2008.
  • Hussain, A. Al-Fayadth, D. Al-Jumeily, P. Lisboa and P. Liatsis; “Image Compression Using Improved Hybrid Classified Vector Quantisation”, Electronics Letters, vol. 43, No. 7, pp. 385-387, IET, 2007, Impact factor 1.038.
  • Ghazali, A. Hussain, D. Al-Jumeily and M. Merabti; “Dynamic-Ridge polynomial neural networks used for exchange rates time series forecasting”, Lecture Notes in Computer Science, book (Adaptive and Natural Computing Algorithms), vol. 4432, 2007, ISBN (978-3-540-71590-0), Springer Berlin / Heidelberg, pp. 123-132, 2007.
  • Hussain, D. Al-Jumeily; “How good is the backpropogation neural network using a Self-organised Network Inspired by Immune Algorithm (SONIA) When Used for Multi-step Financial Time Series Prediction?” Part II. Berlin: Springer (ISBN: 978-3-540-72392-9). Lecture Notes in Computer Science 4492, pp. 921-930, 2007.
  • Hussain, A. Knowles, P. Lisboa, W. El-Deredy, and D. Al-Jumeily; “Polynomial Pipelined Neural Network and Its Application to FTS Prediction”, Lecture Notes in Artificial Intelligence, vol. 4304, ISBN: 978-3-540-49787-5, 2006.
  • Al-Jumeily and P. Strickland; ‘An Intelligent Tutoring System for algebraic Manipulation’, The International Journal for Technology in Mathematics Education (IJTME), Volume 8, No. 3, 2001.
  • Al-Jumeily and P. Strickland;”MathWeb: An Intelligent Computer Algebra System for the World Wide Web”, Computer Algebra in Mathematics Education, JMU, ISBN: 3-901769-34-X, July 2000.
  • Strickland, and D. Al-Jumeily; “Using Computer Algebra to Improve Student Confidence”, Computer Algebra in Mathematics Education, JMU, ISBN: 3-901769-34-X, July 2000.
  • Al-Jumeily and P. Strickland; ‘A computer algebra system for improving students’ manipulation skills in algebra’, International Journal of Computer Algebra in Mathematics Education, 6, pp. 17-24, 1999.

 

 

B.2.7 International Conference (peer-reviewed) Publications

 

  • Y. Tan, D. Al-Jumeily, J. Mustafina, A. Hussain, Y. Shen; “Design Framework for Learning to Support Industry 4.0.”, Published in: Lee N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham, 2020.
  • Z. Ul-Saufie, D. Al-Jumeily, A. Hussain, M. Muhamad, J. Musafina, F. Ghali, T. Baker, “Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation”, IJCNN.
  • Al-Zubaidi, B. Mahmmod, S. Abdulhussain, D. Al-Jumeily, “Re-evaluation of the stable improved LEACH routing protocol for wireless sensor network”, ICICT ’19: Proceedings of the International Conference on Information and Communication Technology, ISBN: 978-1-4503-6643-4, ACM 2019.
  • Khalaf, A. J Hussain, O. Alafandi, D. Al-Jumeily, M. Alloghani, M.d Alsaadi, O. A Dawood, D. Hamed Abd; “An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets”, International Conference on Intelligent Computing, pp. 580-591, 2019.
  • J de Arquer Rilo, A Hussain, M Al-Taei, T Baker, D Al-Jumeily, “Dynamic Neural Network for Business and Market Analysis” International Conference on Intelligent Computing, pp. 77-87, 2019.
  • Baker T, García-Campos JM, Gutiérrez Reina D, Toral S, Tawfik H, Al-Jumeily DHussain A; “International Conference On Intelligent Computing (ICIC 2018)”, 15 Aug 2018 – 18 Aug 2018, Wuhan, China.
  • Kaky, D. Al-Jumeily, H. Haglan, M. Alloghani, T. Baker, A. Hussain, & J. Mustafina; “Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics”, In The bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI). Rio de Janer, 2018.
  • Alloghani M, Al-Jumeily D, Thar Baker, Hussain A, Mustafina J, Kaky AJM. (2018), “Applications of Machine learning Techniques for Software Engineering Learning and Early Prediction of Students’ Performance”, Communications in Computer and Information Science (CCIS) series, 4th International Conference on Soft Computing in Data Science 2018 (SCDS2018), Communications in Computer and Information Science, vol 937. Springer, Singapore.
  • Hussain A, Marcinonyte D, Iqbal F, Tawfik H, Thar Baker, Al-Jumeily D. (2018), “Smart Home Systems Security”, IEEE Xplore, The 16th IEEE International Conference on Smart City (SmartCity-2018).
  • Alloghani, D. Al-Jumeily, A. Hussain, A. J. Aljaaf, J. Mustafina and E. Petrov, “Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0,” 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 64-70. doi: 10.1109/DeSE.2018.00016.
  • Reid,A. J. Hussain,  H. Tawfik, R. Ghazali, D. Al-Jumeily  (2018),“Forecasting Natural Events Using Axonal Delay“, IEEE Congress on Evolutionary Computation (CEC), DOI: 10.1109/CEC.2018.8477831.
  • J. Aljaaf, D. Al-Jumeily, T. Asman, A. Hussain, T. Baker, M. Alloghani and J. Mustafina, “H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring,” 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 18-22. doi: 10.1109/DeSE.2018.00010
  • Mustafina, L. Galiullin, D. Al-Jumeily, E. Petrov, M. Alloghani and A. Kaky, “Application of Learning Analytics in Higher Educational Institutions,” 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 163-168. doi: 10.1109/DeSE.2018.00039.
  • Alloghani, A. J. Aljaaf, D. Al-Jumeily, A. Hussain, C. Mallucci and J. Mustafina, “Data Science to Improve Patient Management System,” 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 27-30. doi: 10.1109/DeSE.2018.00012
  • Alloghani, D. Al-Jumeily, A. Hussain, A. J. Aljaaf, J. Mustafina and E. Petrov, “Application of Machine Learning on Student Data for the Appraisal of Academic Performance,” 2018 11th International Conference on Developments in eSystems Engineering (DeSE), Cambridge, United Kingdom, 2018, pp. 157-162.
  • S. Al Kafri, S. Sudirman,  A. J. Hussain, D. Al-Jumeily, P. Fergus ; F. Natalia ; H. Meidia, N. Afriliana, A. Sophian, M. Al-Jumaily, W. Al-Rashdan,  M.  Bashtawi,  (2018), “Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network”, IEEE Congress on Evolutionary Computation (CEC),
  • Abbas, A. Hussain, D. Al-Jumeily, T. Baker, A. Khattak; “Classification of Foetal Distress and Hypoxia using Machine Learning Approaches”, 2018 International Conference on Intelligent Computing (ICIC 2018), pp 767-776, 2018.
  • Khalaf, A. Hussain, D. Al-Jumeily, T. Baker, R. Keight, P. Lisboa, A. Alkafri, P. Fergus; “A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction”,The bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI), 2018 IEEE Congress on Evolutionary Computation (CEC), 2018.
  • Abdulaimma, B., Hussain, A., Fergus, P., Al-Jumeily, D., Lisboa, P., Huang, D. -S., & Radi, N. (2018, July 8). Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. In 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018). Brazil.
  • Abdulaimma, A. Hussain, P. Fergus, D. Al-Jumeily, C. Aday Curbelo Mon-tañez, J. Hind, N. Radi,“Association Mapping Approach into Type 2 Diabetes using Biomarkers and Clinical Data”, Lecture Notes in Computer Sciencebook series (LNCS, volume 10362), Springer 2017.
  • Robert Keight, Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Aynur Ozge, and Conor Mallucci, “An Intelligent Systems Approach to Primary Headache Diagnosis”, Lecture Notes in Computer Sciencebook series (LNCS, volume 10362), Intelligent Computing Theories and Application pp 61-72, Springer, 2017.
  • Khalaf, AJ Hussain, D. Al-Jumeily, R Keight, R Keenan, C Chalmers, P Fergus, I Idowu (2017), “A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data sets”,  Intelligent Computing Theories and Applicationpp 115-121, Part of the Lecture Notes in Computer Science book series (LNCS, volume 10362), Springer 2017.
  • Montañez, P. Fergus, A. Hussain, D. Al-Jumeily (2017), “Introduction to the Evaluation and Classification of Biomarkers using Direct to Consumer Genetic Data”, Accepted for publication at the 2017 International Conference Intelligent Computing, ICIC, Liverpool, UK.
  • Al-kafri, S. Sudirman, A. Hussain, D. Al-Jumeily, M. Al-Jumaily, W.  Al-Rashdan, M.  Bashtawi, P. Fergus, Mohammad Bashtawi, Jamila Mustafina, “Lumbar Spine Discs Labeling using Axial View MRI Based on the Pixels Coordinate and Gray Level Features”, Intelligent Computing Methodologiespp 107-116, Part of the Lecture Notes in Computer Science book series (LNCS, volume 10362), Springer 2017.
  • Aday Curbelo Montañez, C and Fergus, P and Hussain, A and Al-Jumeily, D Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles, ISSN: 2161-4407, Published in : Neural Networks (IJCNN), 2017 International Joint Conference on Neural Networks (IJCNN), IEEE publication, 2017, USA.
  • McWhirter, PR and Steele, IA and Al-Jumeily, D and Hussain, A The Classification of Periodic Light Curves from non-survey optimized observational data through Automated Extraction of Phase-based Visual Features. In: 2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 – 19 May 2017, Anchorage, Alaska, USA.
  • Keight, R and Al-Jumeily, D and Hussain, A and Al-Jumaily, M and Mallucci, C Towards the Discrimination of Primary and Secondary Headache: An Intelligent Systems Approach. In: 2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 – 19 May 2017, Anchorage, Alaska, USA.
  • Lisboa, P., Hind, J., Hussain, A., & Al-Jumeily, D. (2017). A Robust Method for the Interpretation of Genomic Data. In 2017 International Joint Conference on Neural Networks (IJCNN 2017). Anchorage, Alaska, USA: IEEE.
  • Keight, R and Al-Jaaf, A and Hussain, A and Al-Jumeily, D and Ozge, A and Mallucci, C An Intelligent Systems Approach to Primary Headache Diagnosis. In: Lecture Notes in Computer Science . (International Conference Intelligent Computing, 07 August 2017 – 10 August 2017, Liverpool).
  • Thulnoon, A. A., Lempereur, B., Shi, Q., & Al-Jumeily, D. (2017). Using aspect oriented programming to enforce privacy preserving communication in distributed systems. In ACM International Conference Proceeding Series, ISBN: 978-1-4503-4774-7.
  • Alloghani, A. Hussain, D. Al-Jumeily, A. AlJaaf, (2017). Gamification in e-Governance: Development of an online gamified system to enhance government entities services delivery and promote public’s awareness. In International Conference Proceedings Series by ACM (ISBN: 978-1-4503-4791-4), New York, NY, USA, 2017, pp. 176-181. DOI: https://doi.org/10.1145/3029387.3029388.
  • Alloghani, A. Hussain, D. Al-Jumeily, A. Aljaaf and N. AlShamsi, “Development of an Interactive System to Enhance Strategic Planning Process and Quality of Aviation Operations Using Balanced Scorecard: A UAE Case study,” 2017 10th International Conference on Developments in eSystems Engineering (DeSE), Paris, 2017, pp. 201-205, DOI: 10.1109/DeSE.2017.15
  • Abdulazeez, and A. El Rhalibi, D. Al-Jumeily, “Evaluation of Scalability and Communication in MMOGs”, The 13th IEEE Consumer Communications and Networking Conference (IEEE CCNC 2016), Jan. 2016, Las Vegas, USA.
  • Lennon, U., Hussain, A. J., Francis, H., Al-Jumeily, D., Fergus, P., Khalaf, M., & Radi, N. (2016). The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Al-Jumeily, D., Hussain, A., MacDermott, A., Tawfik, H., Seeckts, G., & Lunn, J. (2016). The Development of Fraud Detection Systems for Detection of Potentially Fraudulent Applications. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Hussain, A. J., Fergus, P., Al-Jumeily, D., Pich, A., & Hind, J. (2016). Teaching Primary School Children the Concept of Computer Programming. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Hussain, A. J., Connell, L., Francis, H., Al-Jumeily, D., Fergus, P., & Radi, N. (2016). An Investigation into Gender Disparities in the Field of Computing. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Al-Jumeily, D., Hussain, A., MacDermott, A., Tawfik, H., & Murphy, J. (2016). Improving Communication between Healthcare Professionals and Their Patients through a Prescription Tracking System. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Kurdi, R., Nyakwende, E., & Al-Jumeily, D. (2016). E-Government Implementation and Readiness: A Comparative Study between Saudi Arabia and Republic of Korea. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Khalaf, M., Hussain, A. J., Al-Jumeily, D., Keenan, R., Keight, R., Fergus, P., & Idowu, I. O. (2016). Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Alghamdi, M., Al-Jumeily, D., Hussain, A., & Dermott, Á. M. (2016). A proposed tutoring system to support the learning of computer programming: Case Study. In Proceedings of 2016 SAI Computing Conference, SAI 2016 (pp. 875-880). doi: 10.1109/SAI.2016.7556082.
  • Abdulazeez, S. A., El Rhalibi, A., & Al-Jumeily, D. (2016). Simulation of Massively Multiplayer Online Games communication using OPNET custom application. In Proceedings – IEEE Symposium on Computers and Communications Vol. 2016-August (pp. 97-102). doi:10.1109/ISCC.2016.7543721.
  • Alloghani, M., Al-Jumeily, D., & Hussain, A. (2016). Development of A Virtual Role-Play Simulation App For Academic Teachers And Students. In 8th annual International Conference on Education and New Learning Technologies. Barcelona, Spain, EDULEARN16 Proceedings, p. 2201
  • Alloghani, M., Hussain, A., Al-Jumeily, D., & Abuelma’Atti, O. (2016). Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE. In Proceedings – the 8th International Conference on Developments in eSystems Engineering, IEEE Computer Society, ISBN 978-1-5090-1860-4, Dubai.
  • Khalaf, M., Hussain, A. J., Keight, R., Al-Jumeily, D., Keenan, R., Fergus, P., & Idowu, I. O. (2016). The utilisation of composite machine learning models for the classification of medical datasets for sickle cell disease. In the 6th International Conference on Digital Information Processing and Communications, ICDIPC 2016 (pp. 37-41). doi: 10.1109/ICDIPC.2016.7470788
  • Alloghani, M., Hussain, A., Al-Jumeily, D., Fergus, P., Abuelma’Atti, O., & Hamden, H. (2016). A mobile health monitoring application for obesity management and control using the internet-of-things. In the 6th International Conference on Digital Information Processing and Communications, ICDIPC 2016 (pp. 19-24). doi: 10.1109/ICDIPC.2016.7470785.
  • Anya, H. Tawfik and D. Al-Jumeily, “Context-aware Clinical Knowledge Sharing in Cross-boundary e-Health: A Conceptual Model”, the 15th IEEE International Conference on Computer and Information Technology (CIT-2015), IEEE Computer Science, ISBN: 978-1-5090-0153-8, October 2015, Liverpool, UK.
  • Al-Jumeily, A. Hussain, Á. MacDermott, G. Seeckts and J. Lunn, “Methods and Techniques to Support the Development of Fraud Detection System”, accepted at the 22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015, IEEE Computer Science, ISBN: 978-1-4673-8352-3, London, UK.
  • Al-Jumeily, A. Hussain, Á. MacDermott, J. Murph, “Improving the barrier of communication between healthcare professionals and their patients using a Prescription Tracking System”, the 22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015, ISBN: 978-1-4673-8352-3, London, UK.
  • Aljaaf, D. Al-Jumeily, A. J. Hussain, P. Fergus, K. Abdel-Aziz; “Toward an Optimal Use of Artificial Intelligence Techniques within a Clinical Decision Support System” Science and Information Conference, IEEE Publishing, DOI: 10.1109/SAI.2015.7237196, 2015, London, UK.
  • J. Aljaaf, D. Al-Jumeily, A. J. Hussain, P. Fergus and M. Al-Jumaily; “Predicting the Likelihood of Heart Failure with a Multi Level Risk Assessment Using Decision Tree”, The 3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE 2015), IEEE, ISBN: 978-1-4799-5679-1, Beirut, Lebanon, 2015.
  • Alghamdi, D. Al-Jumeily and A. J. Hussain, “Supporting Young Students to Learn Computer Programming in an Early Schooling”, Computer Vision and Image Analysis Applications (ICCVIA), IEEE, ISBN: 978-1-4799-7185-5, 2015, Rome, Italy.
  • Alloghani, D. Al-Jumeily, A. Hussain, “Cross-Platform Mobile eGovernment system for suppliers”, International Biometrics & Smart Government Summit, IEEE Computer Science, ISBN: 978-1-4799-7185-5, 2015, Tunisia.
  • A. Abdulazeez, A. El Rhalibi, M. Merabti and D. Al-Jumeily; “Survey of Solutions for Peer-to-Peer MMOGs”, 2015 International Workshop on Networking Issues in Multimedia Entertainment, ICNC Workshop, 2015, California, USA.
  • Al-Jumeily, A. Hussain, M. Alghamdi and D. Lamb, Hani Hamdan; “The Development of an Intelligent Tutorial System for System Development”, International Conference on Web & Open Access to Learning – ICWOAL’2014, IEEE Publishing, ISBN: 978-1-4799-5739-2, 2014, Dubai, UAE.
  • Al-Jumeily, A. Hussain, S. Crate, “Conceptual Framework For Supporting eLearning Systems”, EDULEARN14 Proceedings for the 6th annual International Conference on Education and New Learning Technologies, ISSN: 2340-1117, Publisher: IATED, 2014, Barcelona, Spain.
  • Al-Jumeily, A. Hussain, S. Crate, “The Impact of Cultural Factors on Technology Acceptance, Students Point of View”, Proceedings of the International Conference on Frontiers in Education, FECS’14, 21st-24th of July, ISBN: 1-60132-271-2, SCREA Press, 2014, Las Vegas, USA.
  • Iram, D. Al-Jumeily, F. Fergus, A. Hussain, “Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers”, The 8th Int. Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2014), IEEE Computer Society, ISBN: 978-1-4799-4326-5, 2014, Birmingham, UK.
  • Al-Jumeily, A. Hussain, H. Alaskar, “Recurrent Neural Networks Inspired by Artificial Immune Algorithm for Time Series Prediction”, Int. Joint Conf. on Neural Networks, August, ISSN: 2161-4393, ISBN: 978-1- 4673-6128-6, 2013, Dallas, USA.
  • Mohamed, H. Tawfik, L. Norton, and D. Al-Jumeily; A Technology Acceptance Model for a User-Centred Culturally-Aware E-Health Design, Conference: Developments in eSystems Engineering (DeSE), 2013.
  • Al-Jumeily, A. Hussain and H. Tawfik; “Investigating the factors that affect peoples’ acceptance of E-Learning Systems and Websites”, The International Conference on Education and E-Learning Innovations, ICEELI’2012, IEEE Computer Society, ISBN: 978-1-4673-2226-3, 2012, Sousse, Tunisia.
  • Ahmed, A. Hussain, D. Al-Jumeily; “Edge Detection for Fast Block-Matching Motion Estimation to Enhance Mean Predictive Block Matching algorithm”; International Symposium on INnovations in Intelligent SysTems and Applications 2012, IEEE Computer Society, ISBN: 978-1-4673-1446-6, 2012, Trabzon, Turkey.
  • Ciobanu, C. Dobre, V. Cristea and D. Al-Jumeily; “Social Aspects for Opportunistic Communication”; The 11th International Symposium on Parallel and Distributed Computing (ISPDC 2012), IEEE Computer Society, ISBN 978-0-7695-4805-0, 2012, Munich, Germany.
  • Mohamed, H. Tawfik, L. Norton, and D. Al-Jumeily; “Does e-Health technology design affect m-Health informatics acceptance? A case study”, IEEE-EMBS International Conference on Biomedical and Health Informatics, ISBN: 978-1-4577-2176-2, 2012, Hong Kong.
  • Hughes, D. Al-Jumeily and A. Hussain; “Research, Design And Development Review Of The Cloud Computing Management System (CCMS)”, the 6th International Conference for Internet Technology and Secured Transactions (ICITST-2011), IEEE Computer Society, ISBN: 978-1-4577-0884-8, 2011, Dubai.
  • Mohamed, H. Tawfik, D. Al-Jumeily and L. Norton; “MoHTAM: A Technology Acceptance Model for Mobile Health Applications”, IEEE Comp Society, ISBN 978-0-7695-4593-9, 2011, Dubai, UAE (NoC=10)
  • Ahmed, A. Hussain, D. Al-Jumeily; “Mean Predictive Block Matching (Mpbm) For Fast Block-Matching Motion Estimation”, 3rd European Workshop on Visual Information Processing (EUVIP), IEEE Computer Society, ISBN: 978-1-4577-0072-9, 2011, Paris, Franc.
  • Thar Baker, Bendiab AT, Al-Jumeily D. (2010), “Assurance Support for full Adaptive Service Based Applications”, 12th International Conference on Computer Modelling and Simulation (UKSim) :179-185
  • Thar Baker, Lamb D, Taleb-Bendiab A, Al-Jumeily D. (2010), “Facilitating semantic adaptation of web services at runtime using a meta-data layer”, 3rd International Conference on Developments in eSystems Engineering, DeSE 2010, :231-236
  • Hassan, D. Al-Jumeily and A. J. Hussain; “Autonomic computing paradigm to support system’s development”, the 2nd International Conference on Development in E-Systems Engineering (DeSE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009. (NoC=14)
  • J. Hussain, D. Al-Jumeily and A. Jameel; ‘Speech Prediction Using Higher Order Neural Networks”, the 6th International Conf. on Innovations in Information Technology, IEEE Computer Society, ISBN: 978-1-4244-5698-7, Al Ain, UAE, 2009.
  • J. Hussain, D. Al-Jumeily and A. Jameel; ‘Speech Prediction Using Higher Order Neural Networks”, the 6th International conference on Innovations in Information Technology, IEEE Computer Society, ISBN: 978-1-4244-5698-7, December, Al Ain, UAE, 2009.
  • Sudirman and D. Al-Jumeily; “Copyright Protection of Digital Images using High Order Polynomial Watermarking”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Baker, D. Al-Jumeily, A. Taleb-Bendiab and P. Miseldine; “Creating On-Demand Service-Oriented Applications from Intentions Model”, the  2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Al-Taee, H. Al-Hassani, B. Bamajbour and D. Al-Jumeily; “Biometric-Based Security System for Plaintext e-Mail Messages”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Hassan, D. Al-Jumeily and A. J. Hussain; “Autonomic computing paradigm to support system’s development”, the 2nd International Conference on Development in E-Systems Engineering (DeSE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Al-Fayadh, A. J. Hussain, P. Lisboa, D. Al-Jumeily, and M. Al-Jumaily, “A Hybrid Image Compression Method and Its Application to Medical Images”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Ghazali, A. J. Hussain and D. Al-Jumeily; “Time Series Prediction Using Dynamic Ridge Polynomial Neural Networks”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Radi, A. J. Hussain and D. Al-Jumeily; “On the Design of Training and Testing Data for Neural Networks in Image prediction”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Mehdi, A. J. Hussain and D. Al-Jumeily; “The Application of the Neural Network Model Inspirred by The Immune System In Financial Time Series Prediction”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Hughes, D. Al-Jumeily and A. J. Hussain; “A Declarative Language Framework for Cloud Computing Management”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • M. Al-Zawi, A. J. Hussain D. Al-Jumeily and A. Bendiab, “Using Adaptive Neural Networks in Self-Healing Systems”, the 2nd International Conference on Development in E-Systems Engineering (DESE09), IEEE Computer Society, ISBN 978-0-7695-3912-6, Abu Dhabi, 2009.
  • Mehdi, A. J. Hussain, D. Al-Jumeily; “Adaptive Neural Network Model Using The Immune System for Financial Time Series Forecasting”, the International Conference on Computer Modelling and Simulation, IEEE Computer Society, ISBN 978-1-4244-5200-2, Brno, Czech Republic, 2009.
  • J. Hussain, D. Al-Jumeily, P. Lisboa; “Adaptive Classified Vector Quantisation of non-orthogonal representations of images and its application to image compression”, the First International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN2009), IEEE Computer Society, ISBN 978-0-7695-3743-6, India, July 2009.
  • Baker, A. Taleb-Bendiab, D. Al-Jumeily; “Process-Oriented e-Government Application Development”, UKSim 2009:11th International Conference on Computer Modelling and Simulation ISBN: 978-0-7695-3593-7, pp: 634-639, IEEE Computer Society, Cambridge, UK, 2009.
  • Al-Jumeily, G. Hughes, J. Lunn, B. Al Lawati and Patrick Connolly, An Investigation into the Impact of e-Learning within Geographic Literacy on Oman Secondary Education ‘ Proceeding of the 2nd Annual Forum on e-Learning Excellence in Middle East’, Dubai, January 26th-29th, 2009.
  • Al-Fayadh, A. Hussain, P. Lisboa and D. Al-Jumeily; “An Adaptive Hybrid Classified Vector Quantisation and Its Application to Image Compression”, the second European Symposium on Computer Modeling and Simulation (EMS2008), IEEE Computer Society, ISBN: 978-0-7695-3325-4, 2008.
  • Al-Fayadh, A. Hussain, P. Lisboa, D. Al-Jumeily and M. Al-Jumeily; “An Adaptive Hybrid image compression method and its application to medical images”, 5th IEEE International Symposium on Biomedical Imaging (ISBI ’08), France, May 2008.
  • Taylor, A. Murtada, D. Al-Jumeily; “An engineering research and development extranet design approach“, in Proceedings of IEEE European Symposium on Computer Modelling and Simulation, ISBN: 978-0-7695-3325-4, Liverpool, UK, 8th-10th September 2008,
  • Al-Zawi, D. Al-Jumeily, A. Hussain and T. F. Abdelsalam, ‘Autonomic Computing Application in Power System Distributions’, the 4th International Conference on Innovations in Information Technology, Dubai, UAE, ISBN: 978-1-4244-1840-4, November, 2007.
  • Al-Jumeily, J. Lunn and D. Williams, ‘A Framework for producing e-learning deliverables from a single source’ (2008), proceeding of the 5th International Conference on Innovations in Information Technology (Innovations’08), IEEE Computer Society, ISBN 978-1-4244-3396-4, Al Ain, UAE, 16th-18th December 2008.
  • Al-Fayadth, A. J. Hussain, P. Lisboa and D. Al-Jumeily; “A Hybrid Classified Vector Quantisation and Its Application to Image Compression”, IEEE International Conference on Signal Processing and Communication (ICSPC07), Dubai, UAE, 24th-27th November 2007.
  • Al-Fayadth, A. J. Hussain, P. Lisboa and D. Al-Jumeily; “Hybrid Classified Vector Quantisation and Its Application to Image Compression”, International conference on Computer as a tool, EUROCON2007, Poland, Warsaw, ISBN: 978-1-4244-1235-8, September 2007.
  • Al-Zawi, D. Al-Jumeily, A. Hussain, A. Symons and A. Taleb-Bendiab, “A Survey: Autonomic Computing” IEEE 1st International Conference on Digital Communications and Computer Applications (DCCA2007), ISBN: 978-1-4244-1840-4, Jordan 2007.
  • Radi, A. J. Hussain and D. Al-Jumeily; “Adaptive Variable-Length Quantiser for Image Compression” IEEE International conference on Innovation in Information Technology (IIT06), Dubai 2006.
  • J. Hussain, R. Ghazali and D. Al-Jumeily; “Dynamic Ridge polynomial neural network for financial time series prediction” the IEEE International conference on Innovation in Information Technology (IIT06), Dubai 2006.
  • Radi, A. J. Hussain, D. Al-Jumeily and A. Taleb-Bendiab; “Differential Pulse Code Modulation Using Truly Adaptive Quantiser” The 13th International Conference on Systems, Signal and Image Processing (IWSSIP 2006), Budapest, 2006.
  • Taylor, R. Thompson, A. Murtada, and D. Al-Jumeily; “A Cybernetic model of new product development“ in Proceedings of GERI Symposium, Liverpool, June 2007.
  • Al-Fayadth, A. J. Hussain, D. Al-Jumeily, and P. Lisboa; “A Novel Hybrid Classified Vector Quantisation for Image compression” submitted for publication at the IET image processing.
  • J. Hussain, A. Al-Fayadth, D. Al-Jumeily, P. Lisboa and P. Liatsis; “Image Compression Using Improved Hybrid Classified Vector Quantisation”, Electronics Letters, Vol. 43, No. 7, 2007.
  • Radi, A. J. Hussain and D. Al-Jumeily; “Adaptive Variable-Length Quantiser for Image Compression” Accepted for publication at the IEEE International conference on Innovation in Information Technology (IIT06), ISBN 1-4244-0674-9, Dubai, 2006.
  • J. Hussain, R. Ghazali and D. Al-Jumeily; “Dynamic Ridge polynomial neural network for financial time series prediction” the IEEE International conference on Innovation in Information Technology, IIT06, Dubai, 2006.
  • Radi, A. J. Hussain, D. Al-Jumeily and A. Taleb-Bendiab; “Differential Pulse Code Modulation Using Truly Adaptive Quantiser” the 13th International Conference on Systems, Signal and Image Processing (IWSSIP 2006), Budapest, 2006.
  • Symons and D. Al-Jumeily; “E-Learning: Supporting automatic computer program assessment”, LJMU Learning and Teaching Conference, April 2004.
  • Kung, P. Strickland and D. Al-Jumeily; “Using Model Tracing Approach to guide a student model for an Intelligent Computer Algebra System” , Accepted for publication at the Conference of Advance Technology Council in Mathematics, ATCM, Malaysia, July 2002.
  • Kung, P. Strickland, D. Al-Jumeily, A. Taleb-Bendiab; “The Potential of Multimedia in teaching and learning of Mathematics”, Proceedings of the 2nd International Conference on the Teaching of Mathematics University of Crete, ICTM02 July 2002.
  • Kung, Paul Strickland, D. Al-Jumeily, A. Taleb-Bendiab; “Using Model Tracing Approach to Guide a Student Model for an Intelligent Computer Algebra System”, pp. 140-151, INAP 2001.
  • Strickland and D. Al-Jumeily; “Should Students do Algebra when Computer Algebra Systems can do it for them?”, The International Journal of Computer Algebra in Mathematics Education, Volume 6, No. 1, 1999.
  • Al-Jumeily, P. Strickland, and H. Ainsley; “Evaluating the Use of an Intelligent Computer Algebra System as a Learning Tool”, Proceedings of the Innovation in the Evaluation of Learning Technologies Conference, ELT 98, University of North London, November 1998.
  • Al-Jumeily, and Paul Strickland; “An Intelligent Computer Algebra System for the World Wide Web”,; Proceedings of the First International Conference on the Teaching of Mathematics; University of the Aegean, Samos, Greece, John Wiley, July 1998.
  • Al-Jumeily, and P. Strickland; “Designing an Interface on the Web for an Intelligent Tutoring System”, Special Session on User Interface Design in Multimedia Environment, IEEE Computer Society, EUROMICRO 97. ‘New Frontiers of Information Technology’, Proceedings of the 23rd EUROMICRO Conference, P.158-162, Budapest, September 1997.
  • Al-Jumeily, H. Ainsely and P. Strickland; “Teaching and Learning on the Web Using an Intelligent Tutoring System”, Proceedings of the 5th Annual International Conf. on the Teaching of Computing, CTI’97, Dublin, Ireland, 1997.
  • Al-Jumeily, D. Clegg, D. Pountney, P. Harris, “Optimising Simple Statistical Calculations using distributed memory computers”, Proceedings of the 11th Performance Engineering Workshop, Liverpool John Moores University, 1995.

 

 

  1. EXTERNAL ENGAGEMENT, RESEARCH and INNOVATION FUNDED PROJECTS (TOTAL INCOME £2,574,085.00)

 

C.1. EXTERNAL COLLABORATION FUNDED PROJECTS

 

  • Co-Principal Investigator: Royal Academy of Engineering, Newton Research Collaboration Programme- RCP1617/5/67, “A Data Science Approach for the Detection of Variable Light Sources in Uneven Time-Domain Astronomy”, (£6000), Sep 2016.
  • Co-Principal Investigator: Royal Academy of Engineering, Newton Research Collaboration Programme- RCP1617/5/67, “A Data Science Approach for the Detection of Variable Light Sources in Uneven Time-Domain Astronomy”, (£6000), Sep 2016.
  • Co-Principal Investigator: Research Grant for sponsoring full PhD study, Al Kawarizmi International College, Abu Dhabi, UAE, (code: R263022),  £52,350.00, (2014-2019).
  • British Council Research Grant, “Developing Research and Curricula for the University of Anbar” in collaboration with LJMU, Reference (A/02417-DFID DelPHE-Iraq). (Code: R263016), £50,072, Jan 2011.
  • Ministry of Higher Education (Iraq), “Scientific research experimentation”. £51,000, (Code: R263017), 2011.

 

C.2. ENTERPRISE AND INOVATION FUNDED PROJECTS

 

  • Co-Principal Investigator: ERDF fund, The LCR Sustainable Green Travel Corridors (LCR SUD, £16.9M (£680K to LJMU),
  • Co-Principal Investigator: KTP Between LivingLens Ltd and LJMU project: “The analysis of LivingLens data Using Data Science Approaches”, (£318,000.00), (Sep 2017-Sep 2020).
  • Co-Principal Investigator: KTP Between New Mind Ltd and LJMU project: “the use of Data Analytics in the tourism”, (£60,000.00), (Jan 2016-Jan 2017).
  • Principal Investigator: TSB Innovation Vouchers in partnership with Magnex Exercise Technology Ltd, UK (£5,000.00), (August 2014).
  • Principal Investigator: TSB Innovation Vouchers in partnership with Magnex Exercise Technology Ltd, UK (£12,500.00), August 2014.
  • Principal Investigator: Bespoke Training for CCTV Forensic (Abu Dhabi Police Force, UAE)- Five-day course. (Code: J263030), (£12,500.00), March 2014.
  • Principal Investigator: Three professional training courses for (Merseyside Fire and Rescue) (Two Days for each)(.NET, SQL Server, C#) (Code: G263008), (£8,000.00), April 2013.
  • Principal Investigator: One Month Bespoke Training for Computer Security & Forensics (Kuwaiti Police Force, Kuwait) (Code: G263009), (£11,340.00), May 2013.
  • Principal Investigator: One Month Bespoke Training for Computer Security & Forensics (Kuwaiti Police Force, Kuwait) (Code: G263009), (£11,340.00), May 2013.
  • Principal Investigator: Teaching and Research Training Programme for Academics (20 days), Anbar University, Iraq (Code: G263003), (£44,955.00), November 2011.
  • Principal Investigator: Teaching and Research Training Programme for Academics (20 days), Anbar University, Iraq (Code: G263005), (£35,952.00), October 2011.
  • Principal Investigator: Consultancy support for academic quality control, Al khawarizmi International College, UAE (2008 to 2011). (Code-J263019), (£160,000.00), September 2011.
  • Development of an embedded system for R. Baker Electrical Ltd, UK (Code: J263029) £1,200, Mar 2011.
  • Website Development and training, Developing part of the intelligent aspect of the website for the company, TQMI Ltd, Runcorn, UK, £940, Sep 2010
  • Consultancy & support for programme development & accreditation, British Arab University, UAE. (Invoice No-SINV100000013187), £12,937, Jan 2009.
  • Database Development and Alteration for Everyman Theatre, Liverpool, UK, £1,500, Aug 2008.
  • Professional Training Courses in .NET Dev., Liverpool, £29,250, Jan 2007.
  • Development and delivery of Oracle 8i Database for Cotton Exchange Liverpool for, £1,500. Aug 2001.

 

 

C.3. INTERNATIONAL STUDENTS RECRUITMENT  

  • Project Lead: Recruiting 22 PhD International Students Countries: Iraq, UAE, Libya, KSA, Oman, Kuwaiti, Qatar, Iran, Malaysia, China (£594,000.00), (2008-2015).
  • Project co-Lead: The 2+2 Programme with Babylon University, Babylon, Iraq (2014-2017).

 

C.4. SUCCESSFUL UK RESEARCH FUNDING (Total Income Over £2M)

EXAMPLES OF ESTEEM

 

D.1 EDITORIAL DUTIES FOR INTERNATIONAL JOURNALS

 

  • Editor: Applied Computing to Support Industry: Innovation and Technology, Computer Science, ISSN 1865-0937, Springer, Cham 2019.
  • Chief Editor: The International Research Journal of Computer Science and Technology, ISSN:0974-6471 (http://www.computerscijournal.org/editorial-board/), 2015.
  • Editorial Board Member: the Cogent Engineering journal (Taylor and Francis publisher).
  • Guest Editor: The International Journal of Artificial Intelligent and Soft Computing (IJAISC), Special Issue on: ‘eSystems Development and Applications’, June 2014.
  • Guest Editor: Special Issue in the International Journal of Artificial Intelligence and Soft Computing, Special Issue on: ‘Novel Applications of AI for Medical and Engineering Systems’ (IJAISC), 2014.
  • Editorial Board Member: The International Journal of Simulation Systems, Science & Technology (IJSSST), Since 2008.
  • Editorial Board Member: The International Journal of Intelligent Systems Technologies and Applications, IJISTA, Special issue on ‘Advances in Intelligent Systems for applied Simulation’, 2007.
  • Editorial Board Member: The Int. J. of Interactive Technology and Smart Education’, ITSE, Since February 2004.

 

D.2. EDITORSHIP OF SPECIAL JOURNAL ISSUES

 

  • Baker, D. Al-Jumeily, H. Tawfik; Discover Internet of Things Journal, Special issue   Enabling AI Technologies for Megadata Mining in the Internet of Cognitive Things, Springer 2021.
  • Baker, D. Al-Jumeily, Z. Maamar, Z. Tari; Journal of Software: Practice and Experience, Special issue on: Semantic eSystems: Engineering methods, techniques, and tools, Elsevier, Wiley, 2021.
  • Baker, L. T. Yang, Z. Tari, D. Al-Jumeily; Journal of Transactions on Internet Technology, Special issue on “Next Generation Tactile Internet for Volunteer Computing”, ACM, 2020.
  • Hussain, D. Al-Jumeily, H. Tawfik and P. Liatsis; Journal of Sensors, special issue on “Robotics, Sensors and Industry 4.0”, MDPI, ISSN 1424-8220, 2020.
  • Hussain, D. Al-Jumeily, H. Tawfik and P. Liatsis; Journal of Sensors, special issue on “Data Science and Internet of Everything (IoE)”; MDPI, ISSN 1424-8220, 2019.

 

D.3. BOOK REVIEW

  • Book Reviewer: Series Title: Intelligent Data-Centric Systems, a new book entitled “Pervasive Computing: Next Generation Platforms for Intelligent Data Collection”, Elsevier, January 2015.
  • Invited Book Review: Developing Java Software (part Two), John Wiley & Sons LTD, UK, November 2005.

 

D.3. INVITED SPEAKER, CONFERENCE CHAIR AND SESSIONS CHAIR

 

D.3.1 Invited Funded Keynote Speaker

 

  • Keynote Speaker, “Can Machine Learning Do Medicine”; 1st Conference on Science and Technology for early career researchers and postgraduate students (STEPS 2020), Tikrit University 20th – 22nd December 2020, Erbil, Iraq.
  • Keynote Speaker, “Artificial Intelligence to Support Intelligent Society: (The Journey from Industry 0.0 to 4.0)”, https://www.computing-conf.org/keynote-speaker/, 18-20 November 2020, Lisbon, Portugal.
  • Keynote Speaker, “Artificial Intelligence Journey from Machine Learning to Deep Learning”, International Conference of Information and Communication Technology (ICICT2019), Technically Sponsored by ACM, 15-16 April 2019 Baghdad- Iraq.
  • Invited Speaker, “Water Resources in Iraq and Their Impact on Building a Sustainable Economy”, Committee for the Defence of Iraq’s Water Rights/ Association of Iraqi Academics (AIA) in the UK, 1st July 2018, London, UK.
  • Keynote Speaker, “Artificial Intelligence in Real World Applications”, the speech was delivered at 1st Annual International Conference on Information and Sciences (AICIS 2018) Fallujah, technically sponsored by IEEE, 20-21 November, 2018 Organized by University of Fallujah, Iraq.
  • Keynote Speaker, a keynote address titled “Machine Learning and Medical Practice”. The speech was delivered at the 4th IEEE Latin American Conference on Computational Intelligence LA-CCI http://la-cci.org/speakers-of-ssocia-2017/, November 6th-10th, 2017, Peru.
  • Keynote Speaker, a keynote address titled “Data Science Applications for Independent Living”. The speech was delivered at the 2nd International Conference on Advanced Wireless Information, Data, and Communication Technologies (AWICT 2017) https://bindscience.com/awict/keynote-speakers/, 13-14 November 2017, Paris, France.
  • Keynote Speaker, a keynote address titled “Data Science: Inspired by the past to motivate the future”, for The 3rd  International Conference on Soft Computing in Data Science (SCDS2017) https://aaec.uitm.edu.my/scds2017/index.php/abstract/15-abstract-dr-dhiya-al-jumeily, 27-28 November 2017 in Yogyakarta Indonesia.
  • Keynote Speaker, a keynote address titled, “Applications of Artificial Intelligence in Healthcare and Medicine” for the Brazilian Congress on Computational Intelligence (CBIC – Congresso Brasileiro de Inteligência Computacional) (http://cbic2017.org/Keynotes.html) 1st-2nd November 2017, Rio de Janeiro, Brazil.
  • Keynote Speaker, Applied Computing in Health and Education, the 2nd International Conference on Soft Computing in Data Science 2016 (SCDS2016), Kuala Lumpur, Malaysia from 21-22 September 2016.
  • Invited Speaker, “AI and Data Science, Listen Learned”, Supelec University, Paris, France, March 2016.
  • Keynote Speaker, “Applied Computing: Theory, Implementation, Application”, the 12th International Conference on Applied Computing, Maynooth, Greater Dublin, 24th – 26th October 2015.
  • Keynote Speaker, “The Key Role of Communication Technology in Healthcare”, COMNETSAT (2015 IEEE International Conference on Communication, Networks and Satellite) https://indoaessgrss.org/icares-2015/, Bandung, 10-12 December 2015.
  • Invited Speaker, Big Data & Business Intelligence, MBA Programme, Malta University, Malta, 3rd December 2014.
  • Keynote Speaker, Applied Computing in Health and Education, the IEEE 7th International Conference on Development in eSystem Engineering, Cyprus, August 2014.
  • Keynote Speaker, Fraud Detection Using Artificial Neural Networks, Second International Conference on Security in Computer Networks and Distributed Systems (SNDS-2014), Kerala, India, March 2014.
  • Keynote Speaker, e-Learning Trends workshop, Issues Surrounding the Development of a Framework for Producing e-Learning Deliverables from a Single Source. Abu Dhabi Chamber of Commerce, May 2008.

 

D.3.2 Conference Chair

  • Series General Chair for International Conference on Developments in eSystems Engineering (DeSE), the conference is ranked by CORE and technically sponsored by IEEE, (dese.org.uk), (2008-Present).
  • Programme Co-chair, the 4th International Conference on, Advanced Computing, Networking, and Informatics
    (ICACNI – 2016) (IEEE Technically Sponsor- http://www.icacni.com/), 22nd– 24th September 2016, India.
  • Special Session Chair (System & Software Development) for The 22nd International Conference on Systems, Signals and Image Processing (IWSSIP2015), September 2015, London, UK.  
  • Organizing Committee Member, The 4th International Conference on Applied Mechanics, Mechatronics and Intelligent System (AMMIS2016), April 2016, Beijing, China.
  • Tutorial Chair for the 4th International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015), IEEE Communications Society and IEEE Systems, Man, and Cybernetics Society, Aug 2015, Kochi, India.
  • Co-Organizer of Special Session, Time Series Forecasting and Analysis Using Artificial Neural Networks, The Tenth International Conference on Intelligent Computing (ICIC 2014) Aug, 2014, Taiyuan, Shanxi Province, China.
  • Co-Organizer of Special Session, Mobile Consumer Health Care Networks Systems and Services Workshop (MobiCHeSS), National Research Foundation, Dec 2013, Dubai, UAE.
  • Local Arrangements/Venue Chair, the 2nd International Conference on Computational Intelligence, Communication Systems and Networks (CICSYN2010), July 2010, Liverpool, UK.
  • Local Arrangements, The 1st International on Intelligent Systems, Modelling and Simulation, Jan 2010, Liverpool, England.
  • Publicity Chair, International Conference of Human Computer Interaction, HCI2008, Sep 2008, Liverpool, UK.

 

D.3.3 Session Chair

  • Session Chair for The 22nd International Conference on Systems, Signals and Image Processing, Sep. 2015, London, UK.
  • Session Chair for the 1st International Conference on Web & Open Access to Learning, Nov 2014, Dubai, UAE.
  • Session Chair (Intelligent Data Analysis & Prediction), the 2014 International Conference on Intelligent Computing, ICIC2014, Aug 2014, Taiyuan, China.
  • Session Chair (Web Services and Applications Session), the International Conference on Semantic Web and Web Services (SWWS’14), Jul 2014, Las Vegas, USA.
  • Session Chair for The 2014 World Congress in Computer Science, Computer Engineering and Applied Computing (WORLDCOMP’14), Jul 2014, Las Vegas, USA.
  • Session Chair (Health Informatics), 1st BCS International IT Conference 2013, April 2013, UAE.
  • Track Chair (Ubiquitous Intelligence and Reality Mining), The 3rd International Conference on Emerging Intelligent Data and Web Technologies, September 2012, Bucharest, Romania.
  • Session Chair (Intelligent Systems), the 1st International Conference on Intelligent Systems, Modelling and Simulation (ISMS2010) Jan 2010, Liverpool, England.

 

D.3.4 Research Funding Organization (External Reviewer)

  • Expert Reviewer for H2020 FET-OPEN, Europe, New appointment, (Expect Start Date, March 2016).
  • Tertiary Ministry of Education Tertiary Education Research Fund, Singapore, (2014-Present).
  • Industry Research Collaboration Awards, National Research Foundation (NRF), UAE, (2013-Present).
  • Qatar Foundation grants reviewer, Qatar, (2012-Present).

   

D.3.5 International Journals (Technical Reviewer)

 

  • IEEE Transactions on Neural Networks and Learning Systems, IEEE Computational Intelligence Society, Since June 2018.
  • Computational and Structural Biotechnology Journal (CSBJ), Elsevier Publishing, Since August 2016.
  • The Journal of Computer Methods and Programs in Biomedicine, Elsevier Publishing, Since April 2016.
  • The journal Embedded Hardware Design (Microprocessors and Microsystems), Elsevier Publishing, Since March 2016.
  • Journal of the International Measurement Confederation (IMEKO), Elsevier Publishing, Since 2015.
  • International Journal of Computing and Digital Systems (IJCDS), Since 2015.
  • World Journal of Computer Application and Technology, Horizon Research Publishing, USA, Since 2015.
  • The Journal of Computers in Education, Springer, Since 2015.
  • IEEE’s Transactions on Cloud Computing, IEEE Computer Society, Since 2015.
  • Neurocomputing, Elsevier Publishing, Since 2014.
  • The Journal of Networks, Software Tools and Applications; Cluster Computing, Springer, Since 2014.
  • The International Journal of Applied Computing and Informatics, Elsevier, Since 2013.
  • The International Journal of Computing and Digital Systems (IJCDS), Since 2014.
  • Cogent Engineering, Taylor & Francis Group, Since July 2014.
  • PLOSE one, a peer-reviewed open accessed international journal, since January 2014.
  • The International Journal of Web and Grid Services, Inderscience Publishers, Since April 2013.
  • ACM International Journal, Since December 2012.
  • The International Journal of Healthcare Technology and Management (IJHTM), Since April 2012.

 

D.4. TECHNICAL PROGRAMME MEMBER/INTERNATIONAL SCIENTIFIC COMMITTEES

 

D.4.1 Technical Programme Committee (TPC)

(25 Selected TPC events out of 53 – Full list can be found in \\cmp2\cmsdalju)

 

  • The 1st International Conference on Micro & Nano Technologies, Modelling & Simulation, March 2016, KL, Malaysia.
  • The 8th International Conference on Intelligent Networking and Collaborative Systems, Sep. 2016, Czech Republic.
  • The 10th International Conference on E-Learning and Games (Edutainment 2016), April 2016, Hangzhou, China.
  • The 2nd International conference on Green Computing and Engineering Technology 2016 (ICGCET’16), 2016, Denmark.
  • The 3rd IEEE International Conference on Big Data and Smart City (ICBDSC2016), March 2016, Muscat, Oman.
  • The 2015 IEEE International Conference on Communication, Networks and Satellite, 2015, Bandung, Indonesia.
  • The 2nd Int. Conference on Communication and Computer Engineering, (ICOCOE 2015), Jun 2015, Thailand.
  • The 2015 Asia Pacific Conf. on Multimedia and Broadcasting (APMediaCast 2015), Apr 2015, Bali, Indonesia.
  • The International conference on Soft Computing in Data Science (SCDS2015), Sep 2015, Putrajaya, Malaysia.
  • The 4th Int. Conf. on Advances in Computing, Communications & Informatics (ICACCI), Aug 2015, Kerala, India.
  • The 9th Int. Technology, Education and Development Conference (INTED2015), March 2015, Madrid, Spain.
  • The 7th Int. Con. on Intelligent Networking and Collaborative Systems (INCoS-2015), Sep. 2015, Taipei, Taiwan.
  • The Int. Conf. on Advanced Computing, Networking, and Informatics (ICACNI-2015) June 2015, Orissa, India.
  • Conference on e-Quality & e-Service Sciences.  http://www.eqess.org, (eQwSS’2015) Feb 2015, Dubai, UAE.
  • Conf. on Computer Vision and Image Analysis Applications, (ICCVIA’2015), Jan. 2015, Sousse, Tunisia.
  • International Conf. on Computer Applications & Aided Diagnosis (ICCAAD’2014), Algiers, Algeria.
  • International Symposium on Research of Arts, Design and Humanities (ISRADH 2014), October 2014, Malaysia.
  • The 2014 IEEE Colloquium on Humanities, Science and Engineering Research (CHUSER 2014), April 2014 Malaysia.
  • The 2013 International Conference on Emerging Technologies (ICET-2013), December 2013, Islamabad, Pakistan.
  • The 2013 IEEE Symposium on Engineering and Industrial Applications (ISBEIA 2013), Sep 2013 Kuching, Malaysia.
  • The 2013 International Conference on Technology, Informatics (TIME-E 2013) June 2013 Bandung, Indonesia.
  • The 19th International Conference on Control Systems and Computer Science, May 2013, Bucharest, Romania.
  • The IEEE Symposium on Humanities, Science and Engineering (SHUSER2013) June 2013, Malaysia.
  • The 2nd International Conference on Advances in Computing (ICACCI2013), 2013, Mysore, India.
  • The 12th International Symposium on Parallel and Distributed Computing (ISPDC2013), June 2013, Romania.
  • The 2nd World Congress on Information and Communication Technologies (WICT 2012), November 2012,India.

 

D.4.2 International Conferences (Technical Reviewer)

  • IEEE International Conference on Communication, Networks and Satellite, Bandung, 10-12 December 2015, Indonesia.
  • The 29th IEEE Int. Conference on Adv. Information Net. and Applications (AINA-2015), Mar 2015, Gwangju, Korea.
  • The Advancement in IT Int. Conference (2014 ADVCIT)), December 2014, Bandung, Indonesia.
  • The 8th EUROSIM Congress on Modelling and Simulation (EUROSIM2013), September 2013, Cardiff, Wales, UK.
  • The IEEE Business Engineering and Industrial App. Colloquium 2013 (IEEE BEIAC 2013), Apr 2013, Malaysia.
  • The IEEE Symposium on Computers & Informatics (ISCI 2013), April 2013, Langkawi, Malaysia.
  • The 4th Conference on Intelligent Systems, Modelling and Simulation, ISMS2013, January 2013, Thailand.
  • The 5th International Congress on Image and Signal Processing (CISP 2012), October 2012, China.
  • The 5th International Conference on BioMedical Engineering and Informatics (BMEI 2012), October 2012, China.
  • The 2012 IEEE Symposium on Business, Engineering and Ind. Applications (ISBEIA2012), Sep. 2012, Indonesia.
  • The Int. conference on Advances in Computing, Communication and Informatics, (ICACCI-2012) Aug 2012, India.
  • The 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012, Vienna, Austria.
  • The 13th Conf. on Computer Modelling and Simulation (UKSim2011), Apr 2011 Cambridge University, UK.
  • The 2nd International Conference on Intelligent Systems and Simulation (ISMS2011), Jan 2011, Malaysia.
  • The 2nd Conf. on Computational Intelligence, Comm. Sys. & Networks (CICSYN2010), Jul 2010, Liverpool, UK.
  • The Int. Conference on Engineering Management and Service Sciences’ (EMS 2009), Sep 2009, Beijing, China.
  • The 1st Conf. on Computational Intelligence, Comm. Sys. & Networks (CICSYN2010), July 2009, Indore, India.
  • The 3rd Asia Int. Conf. on Modelling & Simulation, IEEE Computer Society, May 2009, Bali, Indonesia.

 

D.5 DEPARTMENTAL, FACULTY AND UNIVERSITY SERVICE

 

D.5.1 Validation Duties

  • Member of the Validation Committee, MSc Quantity Surveying and Commercial Management, LJMU, Nov 2007.
  • Chairman of the Validation Committee, for the following programmes, LJMU, Apr 2007:
    • BA in Criminal Justice – BA Law and Criminal Justice – BSc Forensic Psychology and Criminal Justice
  • Member of the Validation Committee, BS.C. Biomedical Science Programmes, LJMU, May 2007.
  • Member of the Validation Committee, MS.C. Quantity Surveying and Commercial Management, Nov 2007.

 

D.5.2 Development and Proposal of New Programmes

  • The University’s first Online Master of Science (MSc) Programmes: The overall responsibility of planning and developing LJMU first “fully online programmes”. These programmes offer a flexible and convenient way for students to gain a relevant postgraduate degree directly applicable to many rapidly developing and emerging sectors within the computing industry. There are three possible routes to the award of MSc in Computing, which enables the student to specialise in: Computing and ICT, Information Systems, and Network Security.
  • Online BSc course in Computing and IT: The Development of the first fully online BSc Programme for the university. The course offers a flexible and convenient way for students to gain a relevant undergraduate degree directly applicable to many rapidly developing and emerging sectors.

 

D.5.3 Module Leader of the Following Modules

  • Database Design and Technology, MSc, (2012-Present).
  • Computing in Practice, BSc, (2013-Present).
  • Database Design, Administration and Management, BSc (2013-2014).
  • Database Design and Connectivity, BSc (2005-2011).
  • Database Systems, MSc, (2007-2012).
  • Multimedia Database Systems, MSc, (2004-2010).
  • Multimedia Database, BSc (Level 3), (2004-2010).
  • Research Methods, MSc (2006-2008).
  • OO Principles and the .Net Framework, BSc (Level 2) (2006-2008).
  • Software Development and Programming, BSc (Level 1)(2000-2008).
  • Software Development Process, BSc (1997-2000).
  • Introduction to Computer Programming, BSc (1997-2000).
  • Computer Programming & Problem Solving, BSc (1997-2000).
  • Software Development Process, BSc (1997-2000).
  • Web Development Workshop, BSc (1997-2000).

 

 

D.5.4 Staff Mentor for PGCHE

  • Mentoring 5 staff for the Degree of Postgraduate Certificate in Higher Education.

 

D.5.5 Placement Student for Full Time Employment

  • Taken placement students for full time employment in our research group for a period of 12 months. 16 placement students have been trained so far where all have managed to get higher grades in their final year. All have managed to get employment as a result of my training during their year of employment within my research group.

 

D.5.6 Awards and Honours

  • Nomination for an Outstanding Doctoral Supervisor, LJMU, 2019.
  • Nomination for Amazing Teacher, LJMU, 2015.
  • Nomination for Amazing Course Team, LJMU, 2015.
  • Nomination for Amazing Teaching Awards, LJMU, 2014.
  • Nomination for Best Personal Tutor, LJMU, 2012.
  • A Certificate of Recognition from the Mayor of Liverpool on the 18th January 2017 for bringing the 9th International Conference on the Developments of eSystems Engineering to Liverpool (31 August – 2 September 2016).
  • A Certificate of Recognition by the Lord Mayor of Liverpool on the 9th January 2018 for bringing to Liverpool the International Conference on Intelligent Computing (7 – 10 August 2017).