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)

Photo of Professor Mahdi Mahfouf

 
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
Key publications since 2001

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

Visit the IMMPETUS website

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.

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Grants

Professor Mahfouf is the holder of numerous EPSRC and EU grants currently totalling more than £2M.

Research Contracts

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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.

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Key publications
[since 2001]

  1. E. Elsamahy, M. Mahfouf, and D.A. Linkens (2006), “A closed-loop hybrid physiological model relating to subjects under physical stress”, Artificial Intelligence in Medicine, 38, 257-274.
  2. C. S. Nunes, M. Mahfouf, D.A. Linkens and J.E. Peacock (2005), “Modelling and Multivariable Control in Anaesthesia using Neural-Fuzzy Paradigms: Part I- Classification of Depth of Aneasthesia and Development of a Patient Model”, Artificial Intelligence in Medicine, 35, 195-206.
  3. M. Mahfouf, C.S. Nunes, D.A. Linkens and J.E. peacock (2005), “Modelling and Multivariable Control in Anaesthesia using Neural-Fuzzy Paradigms: Part II- Closed-Loop Control of Simultaneous Administration of Propofol and Remifentanil”, Artificial Intelligence in Medicine, 35, 207-213.
  4. M.F. Abbod, C.M. Sellars, D.A. Linkens, Q.Zhu, M. Mahfouf (2005), “Validation and Generalisation of Hybrid Models for Flow Stress and Recrystallisation Behaviour of Aluminium Alloys”, Materials Science and Engineering, A: Structural Materials: Properties Microstructure and Processing, A 395, 35-46.
  5. H.F. Kwok, D. A. Linkens, M. Mahfouf, and G. H. Mills, (2004), “SIVA: A hybrid knowledge-and-model-based advisory system for intensive care ventilators”, IEEE Transactions on Information Technology in Biomedicine (TITB), 8(2), pp161-172.
  6. J. D. Holliday, S. L. Rodgers, P. Willett, M.Y. Chen, M. Mahfouf, K. Lawson, and G. Mullier (2004), “Clustering Files of Chemical Structures using The Fuzzy K-Means Clustering Method”, Journal of Chemical Information and Computer Sciences, 44, pp 894-902.
  7. Mahfouf, M., A.J. Asbury, and D.A. Linkens (2003), “Unconstrained and Constrained Generalised Predictive Control of Depth of Anaesthesia During Surgery”, The IFAC Journal of Control Engineering Practice, Invited Paper on the Award-Winning Papers Issue, 11, 1501-1515.
  8. Mahfouf, M., M F Abbod, and D.A. Linkens (2003), “On-line Elicitation of Mamdani-Type Fuzzy Rules via TSK-Based Generalised Predictive Control”, Transactions of the IEEE SMC- Part B, 23(3), pp 465-475.
  9. Yang, Y.Y., D. A. Linkens, M. Mahfouf, and A. Rose (2003), “Grain Growth Modelling for Continuous Reheating Process- A Neural Network-based Approach”, The Iron & Steel Institute of Japan (ISIJ), 43(7), 1040-1049.
  10. M. Mahfouf, M.F. Abbod and D.A. Linkens (2001), “A Survey of Fuzzy Logic Monitoring and Control Utilisation in Medicine”, Artificial Intelligence in Medicine, 21, 27-42.

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