Venu Govindaraju

Venu Govindaraju
Vice President for Research and Economic Development
University at Buffalo
Personal details
Born (1964-06-17)June 17, 1964
Vijayawada, India
Citizenship  USA (Naturalized: 2000)
Alma mater Indian Institute of Technology, Kharagpur
University at Buffalo, The State University of New York

Scientific career

Fields Computer Science and Engineering
Pattern Recognition
Machine Learning
Institutions University at Buffalo
Doctoral students 33 (Graduation year in parentheses) Y. Zhou, A. Shivram, C. Ramaiah, G. Kumar (2015); U. Porwal (2014); M. Malgireddy (2013); X. Cheng, S. Wshah (2012); R. Rodriguez, D. You (2011); X. Peng, A. Bhardwaj, A. O. Thomas (2010); J. Li, I. Nwogu (2009); Z. Zhang, H. Cao, F. Farooq, P. Mansukhani, R. Yampolisky, A. Rusu (2008); C. Wu, S. Kompalli, R. Milewski (2007); S. Tulyakov (2006); T. Jea, H. Lei (2005); A. Teredesai (2003); H. Xue (2002); I. Krassimir (2000); J. Park* (2000); S. Madhvanath* (1997); G. Kim* (1996) (*=co-advised)
Known for Handwriting Recognition, Biometrics
Notable awards Fellow National Academy of Inventors (2015), IAPR/ICDAR Outstanding Achievements Award (2015), Fellow ACM, Fellow IEEE, Fellow AAAS, Fellow IAPR, Fellow SPIE, IIT Distinguished Alumnus Awardee (2014), IEEE Technical Achievement Award (2010), MIT Global Indus Technovator Award (2004), ICDAR Young Investigator Award (2001).

Venu Govindaraju is a Indian-American computer scientist and educator whose primary contributions have been to the fields of machine learning and pattern recognition as applied to the domains of Document Image Analysis and Biometrics. He is the Vice President for Research and Economic Development [1][2] and a SUNY Distinguished Professor[3] of Computer Science and Engineering, School of Engineering and Applied Sciences at the University at Buffalo, The State University of New York, Buffalo, NY, USA.

Education

Govindaraju received his undergraduate degree with honors (BTech) in Computer Science from the Indian Institute of Technology (IIT) Kharagpur, India in 1986 and his Master's and PhD[4] degrees in Computer Science in 1988 and 1992 from the University at Buffalo, The State University of New York, Buffalo, NY, USA.

Awards

Govindaraju is a Fellow of the Association for Computing Machinery,[5] the IEEE (Institute of Electrical and Electronics Engineers),[6] the AAAS (American Association for the Advancement of Science),[7] the IAPR (International Association for Pattern Recognition),[8] and the SPIE (International Society for Optics and Photonics).[9]

He is the recipient of the 2001 International Conference on Document Analysis and Recognition Young Investigator award,[10] the 2004 MIT Global Indus Technovator Award,[11] the 2010 IEEE Technical Achievement Award,[12] the Indian Institutes of Technology (IIT) Distinguished Alumnus Award (2014), and the 2015 IAPR/ICDAR Outstanding Achievements Award.[13] He was named a Fellow of the National Academy of Inventors in 2015.[14]

Research career

Govindaraju is the Associate Director of the Center of Excellence for Document Analysis and Recognition (CEDAR) since 1995 and the founding director of the Center for Unified Biometrics and Sensors (CUBS) since its inception in 2003.

Edited Books:

Patents Awarded:

  1. US 5,515,455: "System for recognizing handwritten words of cursive script", V. Govindaraju; D. Wang; and S. Srihari, 1996.[15]
  2. US 7,580,551. "Method and apparatus for analyzing and/or comparing handwritten and/or biometric samples", S. Srihari; V. Govindaraju; et. al. 2009.[16]
  3. US 7,689,006: "Biometric convolution using multiple biometrics", V. Govindaraju; V. Chavan; and S. Chikkerur, 2010.[17]
  4. US 8,005,277: "Secure fingerprint matching by hashing localized information", S. Tulyakov; F. Farooq; S. Chikkerur; and V. Govindaraju, 2011.[18]

Professional Service

Govindaraju has served on the editorial board of 10 journals including 3 IEEE transactions (IEEE-T-PAMI IEEE-T-SMC, IEEE-T-IFS) and IEEE Access. He has served as the editor-in-chief of the IEEE Biometrics Council Compendium[19] and has been the General (Co)Chair at 12 conferences/workshops including International Conference on Document Analysis and Recognition (ICDAR), Program (Co) Chair in 14 conferences/workshops including Biometrics: Theory, Algorithms and Systems (BTAS). Govindaraju was an invited speaker at the NRC Intelligence Committee Workshop on Science & Tech Investments where he presented on the topic of “Accelerated Discovery in the Era of Scientific Information Overload”. He has been on the advisory board of the Buffalo Niagara Enterprise, EngageClick Inc., Copanion Inc., and the International Graphonomics Society. He has served as President of the IEEE Biometrics Council (2015–2017).[20]

Selected papers

  1. V. Govindaraju, "Locating human faces in photographs", The International Journal of Computer Vision, Kluwer Academic Publishers, 19(2): 129-146 (1996)[21]
  2. G. Kim, V. Govindaraju, “A lexicon driven approach to handwritten word recognition for real-time applications”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 19(4): 366-379 (1997)[22]
  3. S. Madhvanath, E. Kleinberg*, and V. Govindaraju, “Holistic verification of handwritten phrases", IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 21(12): 1344-1356 (1999)[23]
  4. V. Govindaraju, K.G. Ianakiev, “Potential improvement of classifier accuracy by using fuzzy measures”, IEEE Transactions Fuzzy Systems, IEEE Computational Intelligence Society Press, 8(6): 679-690 (2000)[24]
  5. S. Madhvanath, V. Govindaraju, “The role of holistic paradigms in handwritten word recognition”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 23(2): 149-164 (2001)[25]
  6. H. Xue, V. Govindaraju, “On the dependence of handwritten word recognizers on lexicons”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 24(12): 1553-1564 (2002)[26]
  7. V. Govindaraju, P. Slavik*, and H. Xue, “Lexicon density as a measure for performance evaluation of handwritten recognizers”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 24(6): 789-800 (2002)[27]
  8. H. Lei and V. Govindaraju, "A Comparative Study on the Consistency of Features in On-line Signature Verification", Pattern Recognition Letters, Elsevier Science, 26(15): 2483-2489 (2005)[28]
  9. H. Xue, V. Govindaraju, “Hidden Markov models combining discrete symbols and continuous attributes in handwriting recognition”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 28(3): 458-462 (2006)[29]
  10. S. Chikkerur, A. Cartwright, and V. Govindaraju, "Fingerprint Image Enhancement Using STFT Analysis", The Journal of Pattern Recognition, Elsevier Publishers, 40(1):198-211 (2007)[30]
  11. S. Tulyakov, V. Govindaraju, "Use of identification trial statistics for the combination of biometric matchers"], IEEE Transactions on Information Forensics and Security, IEEE Signal Processing Society Press, 3(4): 719-733 (2008)[31]
  12. H. Cao, A. Bhardwaj, V. Govindaraju, “A probabilistic method for keyword retrieval in handwritten document images”, Pattern Recognition Journal, Elsevier Press, 42(12): 3374-3382 (2009)[32]
  13. S. Kompalli, S. Setlur, and V. Govindaraju, “Devanagari OCR using a recognition driven segmentation framework and stochastic language models”, International Journal of Document Analysis and Recognition, Springer Press, 11(2): 203-218 (2009)[33]
  14. H. Cao, V. Govindaraju, “Preprocessing of low quality handwritten documents using Markov random fields”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 31(7): 1184-1194 (2009)[34]
  15. S. Tulyakov, C. Wu, and V. Govindaraju, “On the difference between optimal combination functions for verification and identification systems”, International Journal Pattern Recognition and Artificial Intelligence, World Scientific Press, 24(2): 173-191 (2010)[35]
  16. Y. Zhou, I. Nwogu, and V. Govindaraju, “Labeling Spain with Stanford”, IEEE Transactions on Image Processing, IEEE Signal Processing Society Press, 22(12): 5362-5371 (2013)[36]
  17. M. Malgireddy, I. Nwogu, and V. Govindaraju, “Language motivated approach to action recognition”, Journal of Machine Learning Research, MIT Press, 14:2189−2212 (2013)[37]

External links

References

  1. ↑ Office of the Vice President of Research and Economic Development
  2. ↑ Govindaraju named VP for research and economic development
  3. ↑ University at Buffalo: Govindaraju named SUNY Distinguished Professor By Ellen Goldbaum
  4. ↑ Govindaraju PhD Tree from the Mathematics Genealogy Project
  5. ↑ ACM Fellow
  6. ↑ IEEE Fellow
  7. ↑ AAAS Fellow
  8. ↑ IAPR Fellow
  9. ↑ SPIE Fellow
  10. ↑ ICDAR Young Investigator Award
  11. ↑ MIT Globus Indus Technovator
  12. ↑ IEEE Technical Achievement Award
  13. ↑ IAPR/ICDAR Outstanding Achievements Award
  14. ↑ National Academy of Inventors
  15. ↑ US 5,515,455: “System for recognizing handwritten words of cursive script”
  16. ↑ US 7,580,551: "Method and apparatus for analyzing and/or comparing handwritten and/or biometric samples"
  17. ↑ US 7,689,006: "Biometric convolution using multiple biometrics"
  18. ↑ US 8,005,277: "Secure fingerprint matching by hashing localized information"
  19. ↑ IEEE Biometrics Council Compendium
  20. ↑ IEEE Biometrics Council President
  21. ↑ V. Govindaraju, "Locating human faces in photographs", The International Journal of Computer Vision, Kluwer Academic Publishers, 19(2): 129-146 (1996)
  22. ↑ G. Kim, V. Govindaraju, “A lexicon driven approach to handwritten word recognition for real-time applications”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 19(4): 366-379 (1997)
  23. ↑ S. Madhvanath, E. Kleinberg*, and V. Govindaraju, “Holistic verification of handwritten phrases", IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 21(12): 1344-1356 (1999)
  24. ↑ V. Govindaraju, K.G. Ianakiev, “Potential improvement of classifier accuracy by using fuzzy measures”, IEEE Transactions Fuzzy Systems, IEEE Computational Intelligence Society Press, 8(6): 679-690 (2000)
  25. ↑ S. Madhvanath, V. Govindaraju, “The role of holistic paradigms in handwritten word recognition”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 23(2): 149-164 (2001)
  26. ↑ H. Xue, V. Govindaraju, “On the dependence of handwritten word recognizers on lexicons”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 24(12): 1553-1564 (2002)
  27. ↑ V. Govindaraju, P. Slavik*, and H. Xue, “Lexicon density as a measure for performance evaluation of handwritten recognizers”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 24(6): 789-800 (2002)
  28. ↑ H. Lei and V. Govindaraju, "A Comparative Study on the Consistency of Features in On-line Signature Verification", Pattern Recognition Letters, Elsevier Science, 26(15): 2483-2489 (2005)
  29. ↑ H. Xue, V. Govindaraju, “Hidden Markov models combining discrete symbols and continuous attributes in handwriting recognition”, IEEE Transactions Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 28(3): 458-462 (2006)
  30. ↑ S. Chikkerur, A. Cartwright, and V. Govindaraju, "Fingerprint Image Enhancement Using STFT Analysis", The Journal of Pattern Recognition, Elsevier Publishers, 40(1):198-211 (2007)
  31. ↑ S. Tulyakov, V. Govindaraju, "Use of identification trial statistics for the combination of biometric matchers", IEEE Transactions on Information Forensics and Security, IEEE Signal Processing Society Press, 3(4): 719-733 (2008)]
  32. ↑ H. Cao, A. Bhardwaj, V. Govindaraju, “A probabilistic method for keyword retrieval in handwritten document images”, Pattern Recognition Journal, Elsevier Press, 42(12): 3374-3382 (2009)
  33. ↑ S. Kompalli, S. Setlur, and V. Govindaraju, “Devanagari OCR using a recognition driven segmentation framework and stochastic language models”, International Journal of Document Analysis and Recognition, Springer Press, 11(2): 203-218 (2009)]
  34. ↑ H. Cao, V. Govindaraju, “Preprocessing of low quality handwritten documents using Markov random fields”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, 31(7): 1184-1194 (2009)
  35. ↑ S. Tulyakov, C. Wu, and V. Govindaraju, “On the difference between optimal combination functions for verification and identification systems”, International Journal Pattern Recognition and Artificial Intelligence, World Scientific Press, 24(2): 173-191 (2010)
  36. ↑ Y. Zhou, I. Nwogu, and V. Govindaraju, “Labeling Spain with Stanford”, IEEE Transactions on Image Processing, IEEE Signal Processing Society Press, 22(12): 5362-5371 (2013)
  37. ↑ M. Malgireddy, I. Nwogu, and V. Govindaraju, “Language motivated approach to action recognition”, Journal of Machine Learning Research, MIT Press, 14:2189−2212 (2013)
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