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Rajesh M. Hegde

Office: ACES 203-B, Dept. of Electrical Engg., IIT Kanpur India
Lab ACES 203, MiPS Lab,   MiPS Lab (For access inside IIT-K)
Phone: +91-512-259-6248 (Off) 
Fax: +91-512-259-0063
Email: rhegde@iitk.ac.in

Rajesh M Hegde is currently Associate Professor and P K Kelkar Research Fellow in the Dept. of Electrical Engineering at IIT Kanpur. His areas of interest include speech, audio, vision, multimodal information fusion, and applications of signal processing in wireless sensor networks. He also has considerable interests in pervasive computing. Prior to this, he was a researcher and lecturer  at the California Inst. of Telecommunications and Information Technology (University of California San Diego) and associated with the DSP Lab .


imageHon. Minister Kapil Sibal Launches Digital Mandi for Indian Kisan
imageCoverage in The Hindu
imageHon. CM Hooda Launches Digital Mandi for  Haryana
imageSpeech based Systems at India Telecom 2010
image Article in Directions June-2010
imagesISCA Distinguished Lectures at IIT-K  by Prof. Richard Stern
imagesPK Kelkar Batch of 1982 Research Fellowship Award
image India Telecom 2009 Images

 Research Interests

  • Sensor Array and Multi channel Signal processing
  • Multimodal Signal Processing and Information Fusion      
  • Speech Signal Processing and Recognition of Indian Languages
  • Multi microphone Speech Processing and Distant Speech Recognition
  • ICT in Agricultural Applications and Emergency Response
  • Robust Localization in Wireless Sensor Networks
  • Pervasive Computing and Communication 

Research Lab

Selected Past Affiliations

Teaching

General

System Demos

  • Digital Mandi for The Indian Kisan
  • Intelligent Video  Retreival on Cell phone
  • Speech based Camera Steering System (Rapid Prototype developed on NI CompaqRIO)
  • AVSR (with Intel Libraries)
  • CaL-SAT (A multi modalsituation aware computing prototype)
  • CaL-SAT Integrated with Rich Feeds

Signal Processing Pointers

  • ASTERIX
  • HTK
  • SPHINX
  • SRI STAR Lab
  • CMU
  • COMPRESSIVE SENSING (RICE UNIVERSITY)