Description
Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems as well as the limitations of the existing quantitative techniques in modelling.
Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques contains information regarding state-of-the-art research outcomes and cutting-edge technology from leading scientists and researchers working on various aspects of the human movement. Readers of this book will gain an insight into this field as well as access to pertinent information, which they will be able to use for continuing research in this area. This book is a part of the Computational Intelligence and its Applications Series.
Author's/Editor's Biography
Rezaul Begg (Ed.)
Dr. Rezaul Begg received the B.Sc. and M.Sc. Eng degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh, and the Ph.D. degree in Biomedical Engineering from the University of Aberdeen, U.K. Currently he is a Faculty member at Victoria University, Melbourne, Australia. Previously, he worked with Deakin University and BUET. He researches in Biomedical Engineering, Biomechanics and Machine Learning areas, and has published over 100 research papers in these areas. He is a regular reviewer for several international journals, and was on the TPC for a number of major international conferences. He received several awards, including the BUET Gold medal and the Chancellor prize for academic excellence.
Marimuthu Palaniswami (Ed.)
Marimuthu Palaniswami received his BE(Hons) from the University of Madras, ME from the Indian Institute of science, India, MEngSc from the University of Melbourne and Ph.D from the University of Newcastle, Australia before rejoining the University of Melbourne. He has been serving the University of Melbourne for over 16 years. He has published more than 180 refereed papers. He was given a Foreign Specialist Award by the Ministry of Education, Japan in recognition of his contributions to the field of Machine Learning. He served as associate editor for Journals/transactions including IEEE Transactions on neural Networks and Computational Intelligence for Finance. His research interests include SVMs, Sensors and Sensor Networks, Machine Learning, Neural Network, Pattern Recognition, Signal Processing and Control. He is the convener for Australian Research Network on Sensor Network.