Saeed Sharif

Dr Saeed Sharif

Senior Lecturer

Computer Science

Department of Engineering & Computing , School Of Architecture, Computing And Engineering

Dr Saeed Sharif is the Leader of Intelligent Technologies Research Group, he is the Course Leader for MSc Computer Science and MSc Computer Science with industrial  placement at the School of Architecture, Computing and Engineering. He has a PhD in artificial intelligence. He has led the research development of different research projects associated with many industries and NHS trusts. He has developed his research with the goal of improving the effectiveness, efficiency of medical and health care systems. Dr Saeed is a member of the technical committee of a number of international conferences. He is a Fellow of the UK Higher Education Academy, and member of the British Computer Society.

Areas Of Interest

Artificial Intelligence, Innovative Tele-Health, Medical Technology, Digital Health Care and Medical Assistive Technology, Medical Image Analysis and Visualisation, Intelligent Diagnosis Systems, Smart Biomedical Image, Bio Signal Acquisition (MRI, PET, EEG), Nanotechnology, Medical Biotechnology, and Big Data Analysis.

Saeed Sharif

OVERVIEW

Dr Saeed Sharif is the Course Leader for MSc Computer Science and MSc Computer Science with industrial placement at the School of Architecture, Computing and Engineering. He has a PhD in artificial intelligence from Brunel University London.

His research interests and expertise include: Artificial Intelligence, Innovative Tele-Health, Medical Technology, Digital Health Care and Medical Assistive Technology, Medical Image Analysis and Visualisation, Intelligent Diagnosis Systems, Smart Biomedical Image and Bio Signal Acquisition (MRI, PET, EEG).

He is working closely with clinicians and policy makers nationally and internationally to improve the clinical settings and the healthcare systems. He has led the research development of different research projects associated with many industries and NHS trusts. He has developed his research with the goal of improving the effectiveness, efficiency of medical and health care systems.

Dr Saeed is a member of the technical committee of a number of international conferences such as IEEE International Conference on Computer Systems and Applications and IEEE International Conference on Computer and Information Technology. He participated in many national and international conferences e.g. ICIP. He has served as a reviewer for many journals e.g. IET IPJ, Elsevier CBMJ.

He is Guest Editor at an international journal. He has published more than 53 technical papers and articles in highly reputable journals, international conferences and book chapters, such as Elsevier Applied Soft Computing, Computer Methods and Programs in Biomedicine, IEEE Access etc.

He received many academic and research awards. He is a Fellow of The UK Higher Education Academy, and member of the British Computer Society.

He has supervised a significant number of PhD students. He has been involved in the PhD examination committees and chairing several committees. He is accepting new national and international postgraduate research students and willing to discuss the novelty of their applications.

CURRENT RESEARCH

Dr Saeed Sharif's research interests and expertise include but are not limited to:

  • Innovative Tele-Health and Medical Technology
  • Digital Health Care and Medical Assistive Technology
  • Medical Image Analysis and Visualisation.
  • Intelligent Systems and Medical Data Analysis.
  • Computer Aided Diagnostic Systems: e.g. Oncological Volumetric PET Tumour Analysis.
  • Bio signal Acquisition and Analysis (EEG, ECG).

PUBLICATIONS

Published Journal Papers

  •  
  • Mhd Saeed Sharif, Maysam Abbod, Ali Al-Bayatti, Abbes Amira, Ahmed Alfakeeh and Bal Sanghera. An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access, 2020.
  • Raj Theeng Tamang, M.; Mhd Saeed Sharif; Al-Bayatti, A.H.; Alfakeeh, A.S.; Omar Alsayed, A. A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry 12, 866, 2020.
  • Manika Dey and Arsam Shiraz and Mhd Saeed Sharif and Jaswinder Lota and Andreas Demosthenous. Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning. Biomedical Physics & Engineering Express, 2020.
  • Rasha Hafidh, Mhd Saeed Sharif, Ali Al-Bayatti, Ahmed S. Alfakeeh, Madini O. Alassafi and Mohammed A. Alqarni. An Effective Knowledge-Based Modelling Approach towards a "Smart-School Care Coordination System" for Children and Young People with Special Educational Needs and Disabilities. Symmetry, 2020.
  • Gerry Lowe, Bruce Spottiswoode, Jerome Declerck, Keith Sullivan, Mhd Saeed Sharif, Wai-Lup Wong, and Bal Sanghera. Positron emission tomography (PET)-CT harmonisation study of different clinical PET-CT scanners using commercially available software. BJR Open; 2: 20190035, 2020.
  • Solomon Ebenuwa, Mhd Saeed Sharif; Al-Nemrat, A.; Al-Bayatti, A.H.; Alalwan, N.; Alzahrani, A.I.; Alfarraj, O. Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry 11, 1504, 2019.
  • Solomon Ebenuwa, Mhd Saeed Sharif, Mamoun Alazab, Ameer Al-Nemrat. Variance Ranking Attributes Selection Techniques for Binary Classification . Problem in Imbalance Data. IEEE Access, IEEE, 2019.
  • Hani Alquhayz, Nasser Alalwan, Ahmed Ibrahim Alzahrani, Ali H. Al-Bayatti, and Mhd Saeed Sharif. Policy-based Security Management System for 5G Heterogeneous Networks. Wireless Communications and Mobile Computing, 2019.
  • Hassan Hirji, Keith Sullivan, Imran Lasker, Mhd Saeed Sharif, Andre Nunes, Chris Shepherd, Wai-Lup Wong, Bal Sanghera. Effect of PET image reconstruction techniques on unexpected aorta uptake. Molecular Imaging and Radionuclide Therapy, 2018.
  • Mhd Saeed Sharif, Rami Qahwaji, Stan Ipson, and Arun Brahma. Medical Image Classification Based on Artificial Intelligence Approaches: A Practical Study on Normal and Abnormal Confocal Corneal Images. Applied Soft Computing, Elsevier, 2015.
  • Mhd Saeed Sharif, Rami Qahwaji, Ehsan Shahamatnia, Stan Ipson, and Arun Brahma. An Efficient Intelligent Analysis System for Confocal Corneal Endothelium Images. Computer Methods and Programs in Biomedicine, Elsevier, 2015.
  • Rania Alzubaidi, Mhd Saeed Sharif, Rami Qahwaji, Stan Ipson, Arun Brahma. In Vivo Confocal Microscopic Corneal Images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases. British Journal of Ophthalmology, 2015.
  • Mhd Saeed Sharif, Maysam Abbod, Luke I Sonoda, and Bal Sanghera. Machine Learning Optimisation for Realistic 2D and 3D PET-CT Phantom Study. British Journal of Applied Science & Technology, 4(4): 634-649, 2014.   
  • Abdulhakim Elbita, Rami Qahwaji, Stanley Ipson, Mhd Saeed Sharif and Faruque Ghanchi, Preparation of 2D Sequences of Corneal Images for 3D Model Building, Computer Methods and Programs in Biomedicine, Elsevier, 114(2):194-205, ISSN 0169-2607, April 2014.
  •  

Selected Conference Papers

  • Mhd Saeed Sharif, Madhav Raj Theeng Tamang, Cynthia Fu. Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach. International Conference On Innovation And Intelligence For Informatics, Computing and Technologies, 2021.
  • Mhd Saeed Sharif, Mina Moein. An Effective Cost-Sensitive Convolutional Neural Network for Network Traffic Classification. International Conference On Innovation And Intelligence For Informatics, Computing, And Technologies, 2021.
  • Mhd Saeed Sharif, Bilyaminu Auwal Romo, Harry Maltby, Ali H. Al-Bayatti. An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English. International Conference On Innovation And Intelligence For Informatics, Computing, And Technologies, 2021.
  • Kameron Bains, Adebamigbe Fasanmade, Jarrad Morden, Ali H. Al-Bayatti, Mhd Saeed Sharif, Ahmed S. Alfakeeh. Defeating the Credit Card Scams Through Machine Learning Algorithms. International Conference On Innovation And Intelligence For Informatics, Computing, And Technologies, 2021.
  • Mhd Saeed Sharif, Ali Al-Bayatti and Ahmed Alfakeeh. Predicting the Standard and Deviant Patterns In EEG Signals Based On Deep Learning Model. IEEE International Conference on Computing, Electronics & Communications Engineering, 2019.
  • Adebamigbe Fasanmade, Suleiman Aliyu, Ying He, Ali Al-Bayatti, Mhd Saeed Sharif, and Ahmed Alfakeeh. Context-Aware Driver Distraction Severity Classification using LSTM Network. IEEE International Conference on Computing, Electronics & Communications Engineering, 2019.
  • Abdullah Ali, Cornelius Glackin, Nigel Cannings, Julie Wall, Mhd Saeed Sharif and Mansour Moniri. A Framework for Augmented Reality Based Shared Experiences, immersive learning research network conference, iLRN 2019.
  • Mhd Saeed Sharif, Muna Alsallal and Lucian Herghelegiu. An Effective TeleHealth Assistive System to Support Senior Citizen at Home or Care-Homes. IEEE International Conference on Computing, Electronics & Communications Engineering, 2018.
  • Sara Pizzamiglio, Usman Naeem, Shafiq Ur Rehman, Mhd Saeed Sharif, Hassan Abdalla and Duncan L. Turner. A Mutlimodal Approach to Measure the Levels Distraction of Pedestrians using Mobile Sensing. The 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, Elsevier, EUSPN, 2017.
  • Mhd Saeed Sharif, Rami Qahwaji, Sofyan Hayajneh, Stan Ipson, Rania Alzubaidi, and Arun Brahma. "An Efficient System for Preprocessing Confocal Corneal Images for Subsequent Analysis", 14th UK Workshop on Computational Intelligence, 2014.

MODULES

  • Artificial Intelligence & Machine Vision
  • Research Methods
  • Master Dissertation
  • Software Development
  • Information Systems Modelling and Design
  • Introduction to computing
  • Project Management
  • Final Year Project Supervision
  • MSc Dissertation Supervision

FUNDING

  • 2018 - 2022: Knowledge Transfer Partnership (KTP), Innovate UK, £268,000.00.
  • 2021: Research Internship Scheme, UEL; £4000.00.
  • 2020: Research Internship Scheme, UEL; £4000.00.
  • 2018: Research Internship Scheme, UEL; £2000.00.
  • 2017: Research Internship Scheme, UEL; £2000.00.
  • 2015: European Research Centre of Network Intelligence for Innovation Enhancement, Wroclaw University of Technology.
  • 2011: School of Engineering & Design Travel Grant, Brunel University London; £500.00.
  • 2010: Vice Chancellor’s Travel Grant, Brunel University London; £500.00.
  • 2009: School of Engineering & Design Travel Grant, Brunel University London; £500.00.
  • 2009: Vice Chancellor’s Travel Grant, Brunel University London; £500.00.

EXTERNAL ROLES

  • External Examiner, De Montfort University
  • Research Grants Reviewer

INDUSTRY PARTNERS

  • NHS

Publications

The last four years of publications can be viewed below. 

Full publications list

Visit the research repository to view a full list of publications

The latest publication information will be shown here soon