George G. Lendaris

Описание: George G. Lendaris is Emeritus Professor of Systems Science and of Electrical and Computer Engineering, Portland State University, Portland, Oregon. He received the B.S. ('57), MS ('58), and Ph.D. ('61) degrees in Electrical Engineering (EE) from the University of California, Berkeley. After receiving the Ph.D., he joined the GM Defense Research Laboratories, where he did extensive work in control systems, neural networks, and pattern recognition. In 1969, he went to academia, first joining the Oregon Graduate Institute, where he was Chair of the Faculty, and, 2 years later, moved to Portland State University (PSU), Portland, OR, where he became one of the founders and developers of their Systems Science Doctoral Program, where he served for 41 years, retiring in 2011. He expanded his academic and research activities into general system theory and practice, and later, substantial effort into computational intelligence research (based on neural networks). He served in a number of capacities at PSU, including President of the Faculty Senate, Director of the Systems Science Graduate Program, and the director of the NW Computational Intelligence Laboratory. He actively participated in the neural network professional arena, serving in a number of capacities, such as member of the ADCOM of the IEEE Computational Intelligence Society (elevated to Fellow of IEEE in 1982 in recognition of his seminal work in pattern recognition, and then Life Fellow in 1997), and ultimately, a member of the Board of Governors of INNS, President of the INNS, and Fellow of the INNS (elected in 2004). His activity in neural network research began in the early 1960s, with focus the last three decades on modularized neural networks and reinforcement learning methods, focusing on application of adaptive critic and dynamic programming methods to online design of optimal controls for changing systems, culminating in developing his ideas of 'experience-based controls'.

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