Milind Naphade received his B. E. degree in Instrumentation and Control Engineering from the University of Pune, India in July 1995, ranking first among the university students in this discipline. He received his M.S. and Ph.D. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1998 and 2001 respectively. At UIUC he was a Computational Sciences and Engineering Fellow and a member of the Image Formation and Processing group at the Beckman Institute for Advanced Science and Technology from August 1996 to March 2001.
In 2001 Milind joined the Pervasive Media Management Group at the IBM T. J. Watson Research Center in Hawthorne, NY, as a research staff member. He has worked with the Center for Development of Advanced Computing (C-DAC) in Pune, India from July 1994 to July 1996 in the applications development group. He has worked with the Kodak Research Laboratories of the Eastman Kodak Company in the summer of 1997 and with the Microcomputer Research Laboratories at Intel Corporation in the summer of 1998. He is a member of IEEE and the honor society of Phi Kappa Phi. Milind has authored over 100 pioneering research articles, publications, book chapters and patents (pending/granted) in the field of media analysis and learning and his research in context and content modeling has won him the IEEE Circuits and Systems 2004 Outstanding Young Author Award. He has pioneered the approach of semantic multimedia concept and context detection for multimedia content understanding, search and retrieval.
Milind is a lead architect of the IBM Semantic Concept Detection System which has consistently topped the performance in NIST TRECVID evaluations and is responsible for the semantic analysis modules of the Award Winning Marvel Search Engine, that has won the Wall Street Journal's 2004 Innovations Award in the Multimedia Category . He has also been closely involved in the design of the concept detection task of the NIST TREC Video Benchmark.
Milind is a senior member of the IEEE. He is also a member of the IEEE Circuits and Systems Multimedia Systems and Applications Technical Committee. He has served on the organizing and program Committee member for conferences including IEEE ICIP, IEEE ICME, CIVR, ACM MM, SPIE, IAPR ICPR and several journals.
Milind has led the DTO Challenge Workshop on the design of a Large Scale Concept Ontology for Multimedia Understanding that involves over 50 experts from the fields of system users including intelligence analysts and broadcasting corporations, knowledge representation experts and library scientists and multimedia system and algorithm experts.
Milind is also a co-principal investigator of IBM's VACE Phase III project titled "Analyst-Centric Workbench for Large-scale Cross-domain Video Intelligence".
Currently Milind is serving on the core team of IBM's Global Innovation Outlook exercise as Research Liaison for IBM Research.
Milind's research interests include audio-visual signal processing and analysis for the purpose of multimedia understanding, content-based indexing, retrieval and mining. He is also interested in applying advanced probabilistic pattern recognition and machine learning techniques to model semantics in multimedia data and to other intelligent information extraction tasks in diverse application domains.