Ahmad Lotfi received his BSc. and MTech. in control systems from Isfahan University of Technology, Iran and Indian Institute of Technology, India respectively. He received his PhD degree in Learning Fuzzy Systems from University of Queensland, Australia in 1995. He is currently a Professor of Computational Intelligence and Head of Department of Computing and Technology at Nottingham Trent University, Nottingham, United Kingdom where he is also leading the Computational Intelligence and Applications (CIA) research group. He is also a Visiting Professor at Tokyo Metropolitan University. He has authored and co-authored over 200 scientific papers in the area of computational intelligence, ambient intelligence, machine learning and control. His research interest is mainly in the area of computational intelligence, ambient intelligence and natural computing. Specific areas of interest include learning fuzzy systems, neuro-computing, sensors network, adaptive systems, data mining and intelligent mobile robot navigation strategies. He has extensive research in ambient assisted living. The aim of his research is to design an unobtrusive “activities of daily living” monitoring system using wireless sensors to allow identification and prediction of abnormal behaviour. The approach used is to gather data on the routine activities of the elders without altering the elders’ normal behaviour.
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The use of omics data for knowledge discovery is an approach that can be used for personalised cancer medicine and for a better understanding of cancer genotype and phenotype. Three researchers have developed a deep feature learning model to discover biomarkers that are positively and negatively associated with cancer. HealthManagement.org spoke to Abeer Alzubaidi, Jonathan Tepper and Ahmad Lotfi...
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