Department of Electrical Engineering, Indian Institute of Science Department of Electrical Engineering, Indian Institute of Science Indian Institute of Science
 



RAMAKRISHNAN A G
Professor & Chairman


Educational History

  • Ph.D. IIT, Madras 1989
  • M Tech IIT, Madras 1982
  • B. E.(Hons) Univ. of Madras 1980

Courses offered in the last five years

  • E2 212 Matrix Theory
  • E9 261 Speech Information Procesing
  • E1 244 Document Analysis & Recognition
  • E9 201 Digital Signal Processing
  • E9 241 Digital Image Processing E1 215 Biometrics

Awards / Honours / Affiliations

  • Jaya-Jayant Award for Teaching Excellence in Engineering by IISc Council, 2016
  • Manthan Award (South Asia and Asia Pacific) - e-education category, 2015
  • Manthan Award (South Asia & Asia Pacific): e-inclusion and accessibility, 2014
  • Prof. M. Anandakrishnan Award by International Forum for Information Technology for Tamil at Tamil Internet 2013
  • Vice President, Indian Unit for Pattern Recognition and Artificial Intelligence.
  • President, Biomedical Engineering Society of India, 2001 - 2008.
  • Young Investigator Grant by Dept of Science & Technology – Govt of India, 1994
  • Sir Andrew Watt Kay Young Researcher's Prize from Royal College of Physicians & Surgeons, Glasgow, 1992
  • Thangam Vasudevan Award, Indian Association of Biomedical Scientists, 1986
  • Associate Editor, Sadhana.
  • Member, Governing Council, Siddaganga Institute of Technology, Tumakuru.
  • Member, Board of Studies, International School of Information Management (ISiM), University of Mysore.
  • Member, Board of Studies, Dept. of Biomedical Engineering, MIT Manipal.
  • Senior Member, IEEE EMBS and Signal Processing Societies
  • Fellow, Institution of Electronics and Telecommunication Engineers (IETE)
  • Fellow, Institution of Engineers (India)
  • General Council, International Forum for Information Technology in Tamil (INFITT)
  • Member, Association for Computing Machinery (ACM), ISCA and ASA

Publications

 

 

Current Research areas

  • Auditory Neuroscience
  • Deep Neural Networks for speech recognition and document super-resolution
  • Machine learning in images, audio and handwriting
  • Machine Listening
  • Landmark detection in speech