Ifeoma Nwogu University at Buffalo, Amherst, NY, USA
Jehwa Park
Chung-Ang University, S. Korea
Xujun Peng
Raytheon BBN Technologies, Cambridge, MA, USA
Rohit Prasad
Raytheon BBN Technologies, Cambridge, MA, USA
Sitaram Ramachandrula
HP Labs, Bangalore, India
A.G. Ramakrishnan
IISc., Bangalore, India
Zhixin Shi
University at Buffalo, Amherst, NY, USA
Biographies of Chairs
Venu Govindaraju is a Distinguished Professor of Computer Science and Engineering at the University at
Buffalo (SUNY Buffalo). He received his B-Tech (Honors) from the Indian Institute of Technology (IIT),
Kharagpur, India in 1986, and his Ph.D. from UB in 1992.
Dr. Govindaraju has authored more than 325 scientific papers including over 65 journal papers. His seminal work in handwriting recognition was at the core of the first handwritten address interpretation system used by the US
Postal Service. He was also the prime technical lead responsible for technology transfer to Lockheed Martin and
Siemens Corporation for deployment by the US Postal Service, Australia Post and UK Royal Mail.
Dr. Govindaraju has given over 100 invited talks and has supervised the dissertation of 20 doctoral students. He
has served on the editorial boards of premier journals in his area and has taken leadership roles in several technical
conferences (IWFHR 2002, DIAL 2004, ICDAR 2005, AutoID 2005, BTAS 2007, BTAS 2008). Dr. Govindaraju
has won several awards for his scholarship including the prestigious MIT Global Technovator Award . He is a
Fellow of the IEEE (Institute of Electrical and Electronics Engineers) and a Fellow of the IAPR (International
Association of Pattern Recognition).
Prem Natarajan is Vice President of Speech, Language, and Multi-Media at BBN and concurrently holds
the title of Principal Scientist. Prem is actively engaged in many pattern recognition areas, including speech
recognition, speech-to-speech translation, information retrieval, topic classification, natural language call
routing, optical character recognition, image enhancement, video analysis, and text detection. He serves as the
Principal Investigator for the BBN-led project under the ongoing DARPA Multi-lingual Automatic Document
Classification and Translation program, and for a US Government-funded videotext OCR effort.
Previously as Manager, Speech Engineering, he has been responsible for the advancement and deployment by
BBN of commercial speech technology solutions for Directory Assistance Automation and Speech-enabled Call
Center applications. He is active in the speech and document research community and has been an invited speaker
at speech industry conferences and special sessions. He has served in a leadership capacity for several technical
conferences and workshops (2008 AAAI Fall Symposium on Multi-Media Information Extraction HLT-NAACL
2008, DAS 2010, MOCR 2009).
Santanu Chaudhury completed his B.Tech (1984) in Electronics and Electrical Communications Engg. and
Ph.D. in Computer Science and Engg. From I.I.T. Kharagpur, India. Currently, he is Schlumberger Chair
Professor in the department of Electrical Engg. at I.I.T. Delhi. He is also the Associate Dean of Undergraduate
Studies.
Prof. Santanu Chaudhury has made significant contributions in the area of visual information processing, in
particular 2D pattern recognition, 3D object recognition, video sequence analysis, retrieval of multimedia
information and document image analysis. He has over 150 publications in refereed journals and conference
proceedings. Currently, he leads a consortium of 11 research groups for development of OCR for Indic scripts.
He is a fellow of Indian National Academy of Engineers and National Academy of Sciences, India. He was award
ed INSA medal for young scientists in 1993 by Indian National Science Academy. He has served in the programm
me committees of ICCV, ACCV, ECCV, ICPR, ICVGIP and other reputed conferences Currently, he is secretary
of IUPRAI (Indian affiliate of IAPR) His research interests are in the areas of Computer Vision, Artificial Intellig
ence, Document Image Analysis and Multimedia Systems.
