Professor Mahdi Mahfouf
Head of the Intelligent Systems Research Laboratory
Co-Director of IMMPETUS
(The Institute of Microstructural and Mechanical Process Engineering: The University of Sheffield)
Address:
Professor Mahdi Mahfouf, Ing.Dipl. (Hons), MPhil, PhD, FIMA, CEng, CMath, FIET, MInstMC
Department of Automatic Control and Systems Engineering
The University of Sheffield
Sheffield
S1 3JD
Tel: (+44) (0)114 222 5607
Fax: (+44) (0)114 222 5624
Email: m.mahfouf @ sheffield.ac.uk
Room: D7, Amy Johnson Building
Research interests
Grants
Professional activities and recognition
Recent Key Publications
Research interests
Intelligent Systems Based Signal Processing, Modelling and Control in Biomedicine
- Neural-Fuzzy Modelling and Decision Support in Respiratory Intensive Care Units (ICU) and Cardiac Intensive Care Units (CICU).
- Signal Processing and Physiological Modelling for Operational Functional State (OFS) Identification in Humans: Investigations into Man-Machine Interactions.
- Model-Based Predictive Control of Anaesthesia.
- Fuzzy and Neural-Fuzzy Classification, Modelling and Control of Anaesthesia.
A Systems Engineering Approach to Modelling and Optimisation for Metal Processing
A major aspect of IMMPETUS research deals with the development of advanced models of material processing with the predictive capabilities of the final micro/macro properties. Such models are embedded within the themes of Cellular Automata (CA), Finite Element (FE), linguistic granules oriented neural-fuzzy models. Further research activities relate to model structure/parameter optimisation and metal properties control via powerful multi-objective techniques which focus on societal reasoning.
Grants
Professor Mahfouf is the holder of numerous EPSRC and EU grants currently totalling more than £2M.
Professional activities and recognition
- Co-Director of IMMPETUS (The Institute of Microstructural and Mechanical Process Engineering: The University of Sheffield).
- Member of the International Federation of Automatic Control (IFAC) Technical Committee on Mining, Mineral, and Metal Processing (MMM).
- Member of the International Federation of Automatic Control (IFAC) Technical Committee on Biomedical Engineering.
- Member of the EPSRC College System For 'General Engineering' (2003-2009).
- Member of the Editorial Board of the Transactions of the Institute of Measurement and Control.
- Member of the Editorial Board of the International Journal of Simulation Systems Science and Technology.
- External Examiner for PhD, MPhil Degrees; BSc (BEng), and MSc Courses.
- Member of several Conference IPC's.
Recent Key Publications
- Jun Chen and M. Mahfouf (2008) “Artificial Immune Systems as a Bio-inspired Optimization Technique and Its Engineering Applications” in Artificial Immune Systems and Natural Computing: Applying complex Adaptive Technologies, Eds. Hongwei Mo, College of Automation, Harbin Engineering University, Harbin (CHINA).
- Qian Zhang and M. Mahfouf (2009), “Mamdani-Type Fuzzy Modelling via Hierarchical Clustering and Multi-Objective Particle Swarm Optimisation (FM-HCPSO)”, International Journal of Computational Intelligence Research (IJCIR) , 5, pp 314-328.
- M. Gama and M. Mahfouf (2009), “Integration of Systems Engineering-based Paradigms for the Scheduling and Control of an Experimental Hot-Rolling Mill”, The Iron & Steel Institute of Japan (ISIJ) , 49(1), 64-73.
- M. Mahfouf, M. Gama, and G. Panoutsos (2008), “'Right First-Time’ Production of Materials: A Reality or a Myth?”, Materials and Manufacturing Processes, 24, 1-5.
- M. Denaï, M. Mahfouf and J.J. Ross (2009), A Hybrid Hierarchical Decision Support System for Cardiac Surgical Intensive Care Patients. Part I- Physiological Modeling and Decision Support Design, Artificial Intelligence in Medicine Journal, 45(1), 35-51.
- J.J. Ross, M. A. Denaï, M. Mahfouf (2009), A Hybrid Hierarchical Decision Support System for Cardiac Surgical Intensive Care Patients. Part II- Clinical Implementation and Evaluation, Artificial Intelligence in Medicine Journal, 45(1), 53-62.
- C.H. Ting, M. Mahfouf , A. Nassef, , D.A. Linkens, G. Panoutsos, P. Nickel, A.C. Roberts, G.R.J. Hockey (2010), “Real-time adaptive automation system based on identification of operator functional state (OFS) in simulated process control operations”, IEEE Transactions and Systems, Man and Cybernetics- SMC Part A, 40(2), pp 251-262.