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.
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).
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
Browse past publications by year.
Full publications list
Visit the research repository to view a full list of publications
- Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events International Journal of Bipolar Disorders. 12 (Art. 30). https://doi.org/10.1186/s40345-024-00352-9
- Adopting Security Practices in Software Development Process: Security Testing Framework for Sustainable Smart Cities Computers & Security. 144 (Art. 103985). https://doi.org/10.1016/j.cose.2024.103985
- Analysing an Imbalanced Stroke Prediction Dataset Using Machine Learning Techniques Karbala International Journal of Modern Science. 10 (2), p. 8. https://doi.org/10.33640/2405-609X.3355
- Elevating metaverse virtual reality experiences through network-integrated neuro-fuzzy emotion recognition and adaptive content generation algorithms Engineering Reports. In Press. https://doi.org/10.1002/eng2.12894
- Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing Security and Privacy. 7 (3), p. e374. https://doi.org/10.1002/spy2.374
- Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis Applied Computational Intelligence and Soft Computing. 2023 (Art. 8819052). https://doi.org/10.1155/2023/8819052
- Machine Failure Prediction using Joint Reserve Intelligence with Feature Selection Technique International Journal of Computers and Applications. 45 (10), pp. 638-646. https://doi.org/10.1080/1206212X.2023.2260619
- An Extended Reality Solution for Mitigating the Video Fatigue of Online Meetings in: Jung, T. and tom Dieck, M. C. (ed.) XR-Metaverse Cases: Business Application of AR, VR, XR and Metaverse. Springer, pp.45-54
- Securing IoT Devices Against Emerging Security Threats: Challenges and Mitigation Techniques Journal of Cyber Security Technology. 7 (4), pp. 199-223
- An Innovative Approach Based on Machine Learning to Evaluate the Risk Factors Importance in Diagnosing Keratoconus Informatics in Medicine Unlocked. 38, p. 101208. https://doi.org/10.1016/j.imu.2023.101208
- Dictionary selection for Compressed Sensing of EEG signals using sparse binary matrix and spatiotemporal sparse Bayesian learning Biomedical Physics and Engineering Express. 6 (Art. 065024). https://doi.org/10.1088/2057-1976/abc133
- An Effective Knowledge-Based Modeling Approach towards a “Smart-School Care Coordination System” for Children and Young People with Special Educational Needs and Disabilities Symmetry. 12 (Art. 1495). https://doi.org/10.3390/sym12091495
- A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London Symmetry. 12 (Art. 866). https://doi.org/10.3390/sym12050866
- Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921. https://doi.org/10.24507/ijicic.16.03.899
- Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software BJR Open. 2 (Art. 20190035). https://doi.org/10.1259/bjro.20190035
- An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study IEEE Access. 8, pp. 37482-37494. https://doi.org/10.1109/ACCESS.2020.2975135
- Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All Symmetry. 11 (Art. 1504). https://doi.org/10.3390/sym11121504
- Policy-Based Security Management System for 5G Heterogeneous Networks Wireless Communications and Mobile Computing. 2019 (Art. 4582391). https://doi.org/10.1155/2019/4582391
- Effect of PET Image Reconstruction Techniques on Unexpected Aorta Uptake Molecular Imaging and Radionuclide Therapy. 28 (1), pp. 1-7. https://doi.org/10.4274/mirt.galenos.2018.88528
- Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data IEEE Access. 7, pp. 24649-24666. https://doi.org/10.1109/ACCESS.2019.2899578
- A Proposed Machine Learning Based Collective Disease Model to Enable Predictive Diagnostics in Necrotising Enterocolitis in: Miraz, Mahdi H., Exce, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE). IEEE, pp.101-106
- A Machine Learning Techniques to Detect Counterfeit Medicine Based on X-Ray Fluorescence Analyser in: Miraz, Mahdi H., Excell, Peter S., Jones, Andrew, Soomro, Safeeullah and Ali, Maaruf (ed.) Proceedings 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE). IEEE, pp.118-122