Sanjeev Mehrotra is a Prinicipal Research SDE in the Communications and Collaboration Systems group in Microsoft Research. Prior to joining Microsoft Research, he was the development manager of the Audio Codecs and DSP group in the Core Media Processing Technology team at Microsoft which did the work on all the audio and speech codecs and audio processing technology shipped in various products such as Windows, Office Communicator, Windows Mobile, Xbox, and Zune. Before that, he was the development lead for the Windows Media Audio codec and prior to that he was a developer performing research on various audio/video/screen codec and processing technology.
He is the primary inventor of version 2 of the Windows Media Screen codec and the primary inventor of the low bitrate extensions to the Windows Media Professional audio codec which is amongst the best sounding audio codecs even at very low bitrates. He has also shipped numerous technologies related to media processing, media delivery, and error correction codes.
He received his M.Sc. and Ph.D. degrees in Electrical Engineering from Stanford University in 1996 and 2000 respectively. In 1996, he joined in the formation of a startup company, VXtreme, a pioneering company in streaming media, where he worked on researching and devloping video codecs. VXtreme was acquired by Microsoft in 1997.
Sanjeev is an author on numerous publications and is an inventor on over 40 US patent applications out of which more than 20 have been granted.
His current research interests are in media compression, delivery, comminications, and coding, as well as networking protocols for delay sensitive interactive media and software applications.
- Sanjeev Mehrotra and Weidong Zhao, Rate-Distortion Optimized Client Side Rate Control for Adaptive Media Streaming, in Proc. Workshop on Multimedia Signal Processing, IEEE, October 2009
- Ying-zong Huang, Sanjeev Mehrotra, and Jin Li, A hybrid FEC-ARQ protocol for low-delay lossless sequential data streaming, in 2009 IEEE International Conference on Multimedia and Expo, IEEE, 29 June 2009
- Sanjeev Mehrotra, Wei-ge Chen, and Kishore Kotteri, Low Bitrate Audio Coding Using Generalized Adaptive Gain Shape Vector Quantization Across Channels, in Proc. Int'l Conf. Acoustics, Speech, and Signal Processing, IEEE, April 2009
- Sanjeev Mehrotra, Wei-ge Chen, Kazuhito Koishida, and Naveen Thumpudi, Hybrid Low Bitrate Audio Coding Using Adaptive Gain Shape Vector Quantization, in Proc. Workshop on Multimedia Signal Processing, IEEE, October 2008
- Sanjeev Mehrotra and Wei-ge Chen, Selective Use Of Multiple Entropy Models In Audio Coding, in Proc. Workshop on Multimedia Signal Processing, IEEE, October 2008
- Philip A. Chou, Alexander E. Mohr, Albert Wang, and Sanjeev Mehrotra, Error control for receiver-driven layered multicast of audio and video, in IEEE Trans. Multimedia, vol. 3, no. 1, pp. 108–122, March 2001
- Sanjeev Mehrotra and Philip A. Chou, On optimal frame expansions for multiple description quantization, in Int'l Symp. on Information Theory, Institute of Electrical and Electronics Engineers, Inc., June 2000
- Philip A. Chou, Alexander E. Mohr, Albert Wang, and Sanjeev Mehrotra, FEC and pseudo-ARQ for receiver-driven layered multicast of audio and video, in Data Compression Conf., Institute of Electrical and Electronics Engineers, Inc., March 2000
- Philip A. Chou, Sanjeev Mehrotra, Alexander E. Mohr, and Albert Wang, FEC and pseudo-ARQ for receiver-driven layered multicast of audio and video, no. MSR-TR-99-86, November 1999
- Philip A. Chou, S. Mehrotra, Alexander E. Mohr, and Albert Wang, FEC and pseudo-ARQ for receiver-driven layered multicast, in Communication Theory Workshop, Institute of Electrical and Electronics Engineers, Inc., Aptos, CA, May 1999
- Philip A. Chou, Sanjeev Mehrotra, Albert Wang, and Zixiang Xiong, Three-dimensional wavelet coding of video with global motion compensation, in Data Compression Conf., Institute of Electrical and Electronics Engineers, Inc., March 1999
- Philip A. Chou, Sanjeev Mehrotra, and Albert Wang, Multiple description decoding of overcomplete expansions using projections onto convex sets, in Data Compression Conference, Institute of Electrical and Electronics Engineers, Inc., Snowbird, UT, March 1999
