Panoutsos, George - University of Sheffield - Department of Bioengineering

个人简介

Dr George Panoutsos is a postgraduate of the department having completed the M.Sc. course in Automatic Control and Systems Engineering in 2003. He obtained his Ph.D. degree in 2007 after studying Computational Intelligence modelling in the Intelligent Systems Research Group of the department. His research work led to a number of international journal publications and an international patent in the field of Granular Computing. Dr Panoutsos is currently a Member of the IMMPETUS Research Group working in the areas of metals design and processing with applications focusing on 'through-process modelling and optimisation' as well as 'prediction of mechanical properties' and real-time monitoring' using data-driven methodologies. He has also been working in the fields of Bioengineering and Healthcare and is currently a Member of the Intelligent Systems Research Laboratory, with projects involving 'automation in the care of the critically ill in the Intensive Care Unit' and 'cancer prediction using clinical and gene data'. Following his appointment as a Lecturer in the department, Dr Panoutsos leads the Human-Centric Systems laboratory, currently with four research students and one post-doctoral researcher.

研究领域

Human-Centric Systems Computational Intelligence (CI) and Artificial Intelligence (AI) Granular Computing (GrC) and Computing with Words Biologically inspired computing and optimisation Incremental learning – Smart Adaptive Systems Data mining, classification and information fusion Biomedical intelligent systems and Decision Support in healthcare Hybrid gene-clinical based prediction of cancer Decision support and modelling for the Intensive Care Unit absolute Electrical Tomography Imaging (aEIT) for lung ventilation Therapy outcome prediction: Early Adjacent Segment Disease (EASD) Systems engineering approach to modelling and optimisation for the thermomechanical processing of metals Mechanical properties of aerospace materials Multiscale characterisation of critical components Real-time process monitoring and non-destructive model-based evaluation

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

A. Gonzalez-Rodriguez, G. Panoutsos, M. Mahfouf and K. Beamish, A Novelty detection framework based on fuzzy entropy for a complex manufacturing process, IEEE IS’2014, International Conference on Intelligent Systems, Warsaw, Poland, September 24-26, 2014 (2014) A.R. Solis and G. Panoutsos, Fuzzy uncertainty assessment in RBF Neural Networks using neutrosophic sets for multiclass classification, FUZZ-IEEE 2014, IEEE International Conference on Fuzzy Systems and IEEE World Congress on Computational Intelligence (WCCI), July 6-11, Beijing, China (2014) A.R. Solis and G. Panoutsos, Interval Type-2 Radial Basis Function Neural Network: A Modelling Framework, IEEE Trans. on Fuzzy Systems, (in press 2014) A.R. Solis and G. Panoutsos, Granular Computing Neural-Fuzzy Modelling: A Neutrosophic Approach, Applied Soft Computing, 13(9), pp. 4010-4021, 2013 S. M. Samuri, G. Panoutsos, M. Mahfouf, G. H. Mills, M. Denai and B. H. Brown, Towards a patient-specific model of lung volume using absolute Electrical Impedance Tomography (aEIT), Biomedical Engineering Systems and Technologies, Communications in Computer and Information Science Volume 273, pp 191-204 (2013)