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Professor Maysam Abbod



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




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

Journal article

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

Journal article

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

Journal article

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

Journal article

Cretu, I., Tindale, A., Abbod, M., Khir, A., Mason, M., Balachandran, W. and et al. (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

Conference paper
More publications(369)