Prof. Sun-Yuan Kung, Princeton University, USA (Life Fellow of IEEE)

S.Y. Kung, Life Fellow of IEEE,  is a Professor of Electrical and Computer Engineering at the Princeton University.   His  research areas include VLSI array processors, AI algorithms, machine learning,   deep learning networks, neural architectural search,  and compressive privacy.  He  was a founding member of several Technical Committees of the IEEE Signal Processing Society. He was elected to Fellow of IEEE in 1988 and served as a Member of the Board of Governors of the IEEE Signal Processing Society (1989-1991).  He was a recipient of IEEE Signal Processing Society's Technical Achievement Award for the contributions on "parallel processing and neural network algorithms for signal processing" (1992); a Distinguished Lecturer of IEEE Signal Processing Society (1994); a recipient of IEEE Signal Processing Society's Best Paper Award (1996);  IEEE Third Millennium Medal (2000), and  CIE-GNYC’s  Asian American Engineer of the Year Award  (2023).   Since 1990,  he has been the Editor-In-Chief of the Journal of VLSI Signal Processing Systems.  He has authored and co-authored more than 500 technical publications and numerous textbooks including  ``VLSI Array Processors'', Prentice-Hall (1988); ``Digital Neural Networks'', Prentice-Hall (1994) ; ``Principal Component Neural Networks'', John-Wiley (1996);  ``Biometric Authentication: A Machine Learning Approach'', Prentice-Hall (2004); and  ``Kernel Methods and  Machine Learning”, Cambridge University Press (2014).