Faiyaz Doctor

Dr. Faiyaz Doctor is a Senior Lecturer in the Faculty of Engineering, Environment and Computing and associate head of the Intelligent Information Modelling and Retrieval research group at Coventry University. He has previously worked jointly in industry and academia to develop novel artificial intelligence solutions for addressing real world problems related to smart environments, energy optimisation, predictive analytics and decision support. His work has resulted in high profile innovation awards (Best KTP Regional Finalist 2011, Load Stafford Award for Innovation) and an international patent on improved approaches for data analysis and decision-making using hybrid neuro-fuzzy and type-2 fuzzy systems: WO/2009/141631.

His research interests include ambient intelligence, pervasive computing and applications of affective computing, computational intelligence with an emphasis on fuzzy logic, applications of type-2 fuzzy logic and hybrid systems. Dr. Doctor has published over 30 papers in peer reviewed international journals, conferences and workshops. He is co-organiser of the International Workshop on Applications of Affective Computing in Intelligent Environments (ACIE) in conjunction with the International Conference on Intelligent Environments and is the current vice chair of the IEEE Computational Intelligence Society’s Emergent Technologies ‘Affective Computing’ Task Force. He is also and member of the IEEE and IEEE Computational Intelligence Society.

  • Driver Intent Prediction: Co-investigator on a Technology Strategy Board funded project (£49,000) on developing driver prediction models in collaboration with Jaguar Land Rover Ltd.
Coventry University ranked 15 in the UK
Coventry University awarded TEF GOLD Teaching Excellence Framework
University of the year for student experience
QS Five Star Rating 2019
Coventry City of Culture 2021