
Professor Maysam Abbod
Professor
Howell Building 221
- Email: maysam.abbod@brunel.ac.uk
- Tel: +44 (0)1895 267061
Summary
Education
Dr Maysam F. Abbod (MIET, 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
MIET, 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
Banibaqash, A., Alhinti, Z. and Abbod, M. (2022) 'An Analytical Feasibility Study for Solar Panel Installation in Qatar Based on Generated to Consumed Electrical Energy Indicator'. Energies, 15 (24). pp. 1 - 16.Open Access Link
Al-Majidi, SD., AL-Nussairi, MK., Mohammed, AJ., Dakhil, AM., Abbod, MF. and Al-Raweshidy, HS. (2022) 'Design of a Load Frequency Controller Based on an Optimal Neural Network'. Energies, 15 (17). pp. 1 - 28.Open Access Link
Jean, WH., Sutikno, P., Fan, SZ., Abbod, MF. and Shieh, JS. (2022) 'Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index'. Sensors, 22 (15). pp. 5496 - 5496. ISSN: 1424-8220
Mecheter, I., Abbod, M., Amira, A. and Zaidi, H. (2022) 'Deep learning with multiresolution handcrafted features for brain MRI segmentation'. Artificial Intelligence in Medicine, 131. pp. 1 - 15. ISSN: 0933-3657 Open Access Link
Cretu, I., Tindale, A., Abbod, M., Khir, A., Mason, M., Balachandran, W. and (2022) 'Techniques to aid prediction of pacing dependence at 30 days in patients requiring pacemaker implantation after cardiac surgery'.2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Glasgow, UK. 11 - 15 July. IEEE. pp. 2647 - 2650. ISSN: 2375-7477 Open Access Link
et al.