AI Deep Learning in Image Processing

Frank Y. Shih received B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, U.S.A., in 1984, and Ph.D. from Purdue University, West Lafayette, Indiana, U.S.A., in 1987. He is a Professor jointly appointed in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, New Jersey. He currently serves as the Director of Artificial Intelligence and Computer Vision Laboratory.

Dr. Shih held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Nanjing University of Information Science and Technology, China. He is an internationally renowned scholar and currently serves as Editor-in-Chief for the International Journal of Pattern Recognition and Artificial Intelligence. He was Editor-in-Chief for a reputed journal. In addition, he is on the Editorial Board of 12 international journals. He has served as a steering member, session chair, and committee member for numerous professional conferences and workshops. He has received numerous grants from National Science Foundation, NIH, NASA, Navy and Air Force, and Industry. He has won the Research Initiation Award from NSF, the Outstanding Teaching Award and the Board of Overseers Excellence in Research Award from NJIT, and the Best Paper Awards from journals and conferences.

Dr. Shih is internationally recognized as an expert in Artificial Intelligence and Pattern Recognition, Deep Learning, Watermarking, Steganography, and Forensics. He has authored 7 books including “Digital Watermarking and Steganography,” “Image Processing and Mathematical Morphology,” “Image Processing and Pattern Recognition,” and “Multimedia Security: Watermarking, Steganography, and Forensics.” He has published over 160 journal papers, 110 conference papers, and 23 book chapters. His current research interests include artificial intelligence, deep learning, image processing, watermarking and steganography, digital forensics, pattern recognition, bioinformatics, biomedical engineering, fuzzy logic, and neural networks.