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Dr Maysam Abbod

Dr Maysam Abbod



Dr Maysam F. Abbod (MIEE, CEng) He received BSc degree in Electrical Engineering fromUniversity ofTechnology 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 ofSheffield 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

Liu, Q., Cai, J., Fan, S., Abbod, M., Shieh, J-S., Kung, Y. and et al. (2019) 'Spectrum analysis of EEG signals using CNN to model patient’s consciousness level based on anesthesiologists’ experience'. IEEE Access, 7. pp. 53731 - 53742. ISSN: 2169-3536 Open Access Link

Journal article

Liao, Y-H., Wang, Z-C., Zhang, F-G., Abbod, MF., Shih, C-H. and Shieh, J-S. (2019) 'Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit'. Sensors (Basel, Switzerland), 19 (8). pp. 1866 - 1866. ISSN: 1424-8220 Open Access Link

Journal article

Javed Butt, U., Abbod, M., Lors, A., Jahankhani, H., Jamal, A. and Kumar, A. (2019) 'Ransomware Threat and its Impact on SCADA'.2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3). London, United Kingdom, United Kingdom. 10 - 18 January. IEEE. pp. 1 - 8.Open Access Link

Conference paper

Huang, Y., Chen, J., Abbod, M., Fan, S-Z., Shieh, J-S. and Kung, Y-C. (2019) 'Applying Time-Frequency Image of Convolutional Neural Network to Extract Feature on Long-Term EEG Signals to Predict Depth of Anesthesia'.World Congress on Engineering 2019. London.Open Access Link

Conference paper

Al-Zubaedi, WH., Aldaeabool, SR., Abbod, MF. and Al-Raweshidy, HS. (2019) 'Reducing Energy Consumption and Operating Costs in C-RAN Based on DWDM/SCM-PON-RoF'.10th Computer Science and Electronic Engineering (CEEC). Colchester, United Kingdom,. 25 - 21 September. IEEE. pp. 95 - 100. ISSN: 2472-1530 Open Access Link

Conference paper
More publications(300)