UCMA 2010

	Prof. Hojjat Adeli, Abba G. Liechtenstein Professor The Ohio State University, USA
Chaos-Wavelet-Neural Network Models for Automated EEG-Based Diagnosis of Neurological Disorders
The author has been advancing a multi-paradigm integrated approach for solution of complicated and intractable dynamic pattern recognition problems. The focus of this keynote lecture is data mining and knowledge discovery from time-series signals obtained from complex phenomena. Novel wavelet-chaos-neural network models are presented for signal processing of brain waves as recorded by electroencephalographs for automated electroencephalogram (EEG)-based diagnosis of neurological disorders such as epilepsy and the Alzheimer’s disease (AD). Through extensive parametric studies and information reuse and integration certain combinations of parameters from the EEG sub-bands were discovered to be effective markers for seizure detection and epilepsy diagnosis. The model can distinguish among healthy, interictal, and ictal EEGs with a high accuracy of 96%, substantially better than practicing neurologists. Other algorithms for diagnosis of the AD and Attention Deficit Hyperactivity Disorder (ADHD) will also be discussed briefly.
About Prof. Hojjat Adeli
Hojjat Adeli received his Ph.D. from Stanford University in 1976 at the age of 26 after receiving his B.S.-M.S. degrees from the University of Tehran in 1973. He has authored over 430 research and scientific publications in various fields of computer science, engineering, applied mathematics, and medicine including 14 books such as Machine Learning - Neural Networks, Genetic Algorithms, and Fuzzy Systems, Wiley, 1995; Neurocomputing for Design Automation, CRC Press, 1998; Wavelets in Intelligent Transportation Systems, Wiley, 2005; and Intelligent Infrastructure – Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures, CRC Press, 2009. His most recent book is Automated EEG-based Diagnosis of Neurological Disorders - Inventing the Future of Neurology, CRC Press, 2010. He is the Founder and Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering, now in 25th year of publication and Integrated Computer-Aided Engineering, now in 17th year of publication, and the Editor-in-Chief of International Journal of Neural Systems. He is the quadruple winner of the OSU College of Engineering Lumley Award for outstanding research accomplishments. In 1998 he received the Distinguished Scholar Award from OSU, the university’s highest research award, “in recognition of extraordinary accomplishment in research and scholarship”. In 2005, he was elected Honorary/Distinguished Member, ASCE: "for wide-ranging, exceptional, and pioneering contributions to computing in civil engineering and extraordinary leadership in advancing the use of computing and information technologies in many engineering disciplines throughout the world.” In 2007, he received the OSU College of Engineering Peter L. and Clara M. Scott Award for Excellence in Engineering Education as well as the Charles E. MacQuigg Outstanding Teaching Award. He is a Fellow of the American Association for the Advancement of Science.