Rohit Prabhavalkar Department of Computer Science and Engineering ...
- 1. Rohit Prabhavalkar<br />Department of Computer Science and Engineering<br />The Ohio State University<br />395 Dreese Laboratories<br />2015 Neil Avenue, Columbus, OH 43210, USA.<br />prabhava@cse.ohio-state.edu<br />www.cse.ohio-state.edu/~prabhava<br />Phone: (614) 456 9402<br />Fax: (614) 292 2911<br />Research Interests<br />Acoustic modeling, noise-robust automatic speech recognition, discriminative training of acoustic models, natural language processing, machine learning<br />Education<br />2007-PresentPhD Student, Computer Science and Engineering, The Ohio State University, Columbus, Ohio, USA.(GPA 4.0/4.0)<br />Major: Artificial IntelligenceMinors: Linguistics, Theory and Algorithms<br />2003-2007Bachelor of Engineering, Computer Engineering, University of Pune, <br />The Maharashtra Institute of Technology, Pune, India. (First Class with Distinction)<br />Research Experience<br />Graduate Research Associate<br />Supervisor: Eric Fosler-Lussier<br />The Ohio State University<br />September 2008- Present<br />Using conditional random fields (CRFs) for automatic speech recognition and computational auditory scene analysis (CASA). Explored the use of CRFs for monaural segregation of voiced speech by integrating CASA-based cues. Current research has been directed towards automatically learning feature functions for CRF-based phone recognition.<br />Graduate Research Associate<br />Supervisor: John Josephson<br />The Ohio State University<br />December 2007- August 2008<br />Using abductive inference for information fusion in an intelligent surveillance application. Worked on calibrating a system of cameras based on hypothesizing object correspondences between pairs of camera views.<br />Project Research Intern<br />Supervisor: R. Venkatesh<br />Tata Research Development and Design Center, Pune, India June 2006- July 2007<br />Design, development and implementation of NLP tool that verified consistency between the requirements document (in English) and the class diagram of the system (in UML). The tool parsed specified requirements, extracted semantic information, predicted the appropriate representation of this information in the class diagram and verified that all associations, operations and attributes were correctly represented.<br />Publications<br />R. Prabhavalkar, P. Jyothi, W. Hartmann, J. Morris, E. Fosler-Lussier, “Investigations into the Crandem Approach to Word Recognition”, Proceedings of NAACL-HLT (short paper session), Los Angeles, USA (to appear), 2010.<br />R. Prabhavalkar, E. Fosler-Lussier, “Backpropagation Training for Multilayer Conditional Random Field based Phone Recognition,” Proceedings of ICASSP, Dallas, USA (to appear), 2010.<br />R. Prabhavalkar, Z. Jin, and E. Fosler-Lussier, “Monaural Segregation of Voiced Speech using Discriminative Random Fields,” Proceedings of Interspeech, Brighton, UK, 2009.<br />Honors and Achievements<br />Ranked in Top 10 for the Regional Mathematics Olympiad in Maharashtra and Goa states, in successive years between 1999-2001. Trained with an exclusive group of 30 students selected across India for the prestigious International Mathematics Olympiad (IMO) at the Bhabha Atomic Research Center, Mumbai.
- 2. Obtained the 1st rank in the University of Pune for academics in 2004, 2005 and consistently remained amongst the top three performers in the University. Selected as best outgoing student from undergraduate institution and was awarded TCS gold medal, Jagannath gold medal and Saraswati gold medal for academic performance.
- 3. Led the college in 2006 for the Robocon Contest – a pan-Asia annual robotics competition. Final stages of the competition were broadcast live on Indian national television.
- 4. Member of Phi Kappa Phi honor society.Relevant Coursework<br />Fundamentals of Spoken Language Processing, Artificial Intelligence: Advanced topics, Machine Learning for Language Technology, Methods of Pattern Recognition, Computational Linguistics, Computational Semantics, Introduction to Neural Networks, Elements of Statistical Learning<br />Programming Languages<br />C/C++, Perl, Matlab, Java (intermediate), Prolog (beginner), Lisp (beginner) <br />Languages<br />English (fluent), Marathi (native), Hindi (fluent)<br />