EVENT : KEYNOTES
Anil K. Jain
Anil K. Jain
Anil K. Jain
Bing-Hwang (Fred) Juang
Bing-Hwang (Fred) Juang
Bing-Hwang (Fred) Juang
Bing-Hwang (Fred) Juang
Kenji Shimada
Kenji Shimada
Kenji Shimada
Kenji Shimada
Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer Engineering at Michigan State University. He received a B.Tech. degree from IIT, Kanpur (1969) and M.S. and Ph.D. degrees from Ohio State University in 1970 and 1973, respectively. His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review.
He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), IEEE W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and IEEE ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books, including Introduction to Biometrics (2011), Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (first edition: 2005; second edition 2011), Handbook of Fingerprint Recognition (first edition: 2003, second edition: 2009) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 128). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.
He is serving as a member of the National Academies panel on Information Technology and previously served on panels on Whither Biometrics and Improvised Explosive Devices (IED). He also served as a member of the Defense Science Board.
Professor Juang received his Ph.D. from University of California, Santa Barbara in 1981. He had worked at Speech Communications Research Laboratory (SCRL) and Signal Technology, Inc. (STI) on a number of Government-sponsored research projects. Notable accomplishments during the period include development of vector quantization for voice applications, voice coders at extremely low bit rates, 800 bps and around 300 bps, and robust vocoders for use in satellite communications. He subsequently joined the Acoustics Research Department of Bell Laboratories, working in the area of speech enhancement, coding and recognition. Prof. Juang became Director of Acoustics and Speech Research at Bell Labs in 1996, and Director of Multimedia Technologies Research at Avaya Labs (a spin-off of Bell Labs) in 2001. His group continued the long heritage of Bell Labs in speech communication research, including, most notably, the invention of electret microphone, network echo canceller, a series of speech CODECs, and key algorithms for signal modeling and automatic speech recognition. In the past few years, he and his group developed a speech server for applications such as AT&T's advanced 800 calls and the Moviefone, the Perceptual Audio Coder (PAC) for digital audio broadcasting in North America (in both terrestrial and satellite systems), and a world-first real-time full-duplex hands-free stereo teleconferencing system. Prof. Juang has published extensively, including the book “Fundamentals of Speech Recognition”, co-authored with L.R. Rabiner, and holds about twenty patents. He joins Georgia Tech in 2002.
Dr. Kenji Shimada is the Theodore Ahrens Professor in Engineering at Carnegie Mellon University in the Department of Mechanical Engineering, the Department of Biomedical Engineering (courtesy appointment), the Department of Civil and Environmental Engineering (courtesy appointment), and the Robotics Institute (courtesy appointment). Dr. Shimada received his B.S. and M.S. from the University of Tokyo, and his Ph.D. from the Massachusetts Institute of Technology. His research interests are in the areas of geometric modeling, computational geometry, computer graphics, factory robotics, computer and robot assisted surgery, and human body simulation. Prior to joining Carnegie Mellon in 1996, he was Manager of Graphics Applications at IBM Research, Tokyo Research Laboratory. At IBM Research Dr. Shimada initiated and led various research and consultation projects with IBM customers and the Japanese government, as well as with the company’s internal product development and manufacturing groups. At Carnegie Mellon, Dr. Shimada has explored a new physically based approach to key geometric problems in engineering and medical applications, such as finite element mesh generation, interactive curve and surface design, three-dimensional shape reconstruction, robotic path generation, and surgical planning. His physically based mesh generation method, BubbleMesh®, has been licensed to and used by over 80 companies in manufacturing industries. A member of ACM, ASME, IEEE Computer Society, JSIAM, and SAE, Dr. Shimada is the recipient of a number of awards, including International Meshing Roundtable Fellow Award in 2011, Best Author Award from the Japan Society for Industrial and Applied Mathematics in 2006, ASME Design Automation Best Paper Award in 2004, IPSJ Best Paper Award in 2002, NSF CAREER Award in 2000, Honda Initiation Grant Award in 1998, George Tallman Ladd Award for Excellence in Research from the Carnegie Institute of Technology in 1998, IPSJ Yamashita SIG Research Award in 1994, and Nicograph Best Paper Award in 1994. Shimada currently serves on the editorial board of four international journals and has served as Chairman of many academic conferences and committees, including Geometric Modeling and Processing in 2006, ASME Design Automation Conference in 2004, Symposium on Unstructured Mesh Generation in 2001, and International Meshing Roundtable in 1999. He is the author or co-author of over 150 peer-reviewed papers in journals and conferences, and the inventor or co-inventor of over 20 patents in the US, Japan, and Europe.
