Professor Maysam Abbod
Professor
Howell Building 221
- Email: maysam.abbod@brunel.ac.uk
- Tel: +44 (0)1895 267061
Summary
Education
Dr Maysam F. Abbod (FIET, CEng, SMIEEE, SFHEA) He received BSc degree in Electrical Engineering fromUniversity of Technology in 1987. PhD in Control Engineering fromUniversity ofSheffield in 1992. From 1993 to 2006 he was with the Department of Automatic Control and Systems Engineering at theUniversity of Sheffield as a research associate and senior research fellow
Qualifications
FIET, SMIEEE, CEng, SFHEA
Responsibility
Consultency Work
- November 2001 Modelling of DNA mismatch repair expression and microsatellite instability in transitional cell carcinoma of the bladder, Department of Urology, Faculty of Medicine, University of Sheffield.
- August 2000 Model-based data-mining from chromium process production information for London and Scandinavian Metallurgical Co Ltd.
- July 1999 Developments of a neuro-fuzzy tool for hardness estimation of quenched steel rolls, Forgemasters Rolls, Sheffield.
- March - April 1996 Development of a fuzzy logic tool for estimation of electric load on national grid. EA Technology, Chester.
Newest selected publications
Freihat, L., Al-Qaaida, M., Hunaiti, ZA. and Abbod, M. (2024) 'Green Human Resource Management/Supply Chain Management/Regulation and Legislation and Their Effects on Sustainable Development Goals in Jordan'. Sustainability, 16 (7). pp. 1 - 27.Open Access Link
Cretu, I., Tindale, A., Abbod, M., Balachandran, W., Khir, AW. and Meng, H. (2024) 'A comparison of different methods to maximise signal extraction when using central venous pressure to optimise atrioventricular delay after cardiac surgery'. IJC Heart and Vasculature, 51. pp. 1 - 9. ISSN: 2352-9067 Open Access Link
Bawa, A., Banitsas, K. and Abbod, M. (2024) 'A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors'. Sensors, 24 (5). pp. 1 - 15. ISSN: 1424-8220 Open Access Link
Moreno-Sánchez, PA., Banitsas, K., Van Gils, M. and Abbod, M. (2024) 'Addressing Rapidly Aging Society Challenges Through Health 4.0'.Mediterranean Conference on Medical and Biological Engineering and Computing International Conference on Medical and Biological Engineering. Sarajevo, Bosnia and Herzegovina. 4 - 16 September. Springer Nature Switzerland. pp. 764 - 772. ISSN: 1680-0737 Open Access Link
Momenikorbekandi, A. and Abbod, M. (2023) 'Intelligent Scheduling Based on Reinforcement Learning Approaches: Applying Advanced Q-Learning and State–Action–Reward–State–Action Reinforcement Learning Models for the Optimisation of Job Shop Scheduling Problems'. Electronics (Switzerland), 12 (23). pp. 1 - 16.Open Access Link