2015/16年度傑出學人講座系列 - Anil Jain教授

2015年12月15日

(本頁只設英文版本)
Prof. Anil Jain of Michigan State University visited the Department and delivered a Distinguished Lecture on “Who Goes There? - Applications & Challenges of Face Recognition” on 14 December 2015. Prof. Jain addressed a number of ongoing research projects in his laboratory which tackle the general challenge of face recognition due to large intra-person face variability. With stimulating case studies and examples, the lecture was well received and concluded with active discussion.

Prof. Jain is a University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University. He was appointed an Honorary Professor at Tsinghua University and WCU Distinguished Professor at Korea University. He received B.Tech. from Indian Institute of Technology, Kanpur in 1969 and M.S. and Ph.D. 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 Computer, Proc. IEEE, Encarta, Scholarpedia, and MIT Technology Review.

He is a recipient of Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award, IEEE W. Wallace McDowell award, IAPR King-Sun Fu Prize, IEEE ICDM Research Contribution Award, IAPR Senior Biometric Investigator Award, and the MSU Withrow Teaching Excellence Award. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991 and 2005) and served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence. He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE and was felicitated with the MSU 2014 Innovator of the Year Award.

Anil Jain has been assigned six U.S. patents on fingerprint recognition and two Korean patents on surveillance. His research has resulted in technologies for fingerprint recognition, tattoo image matching, facial sketch to photo matching, unconstrained face recognition and fingerprint obfuscation that have been licensed to IBM, Morpho and NEC. He served as an advisor to India's Aadhaar program that provides a 12-digit unique ID number to Indian residents based on their ten fingerprints and both iris images.

He currently serves as a member of the Forensic Science Standards Board (FSSB), co-organizer of program on Forensics (2015-2016) at the NSF Statistical and Mathematical Sciences Institute (SAMSI) and a member of the Latent Fingerprint Working Group of the American Association for the Advancement of Science (AAAS).

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