Ram Bilas Sir of IIT Indore

🧠 Epilepsy affects millions worldwide, and early, accurate detection can make a life-changing difference. Prof. Pachori, a leading expert in biomedical signal processing, will shed light on advanced techniques for identifying epilepsy through EEG using cutting-edge computer-aided systems. This session promises to be insightful for anyone interested in healthcare technology, neuroscience, and artificial intelligence.

Biography:

• Ram Bilas Pachori received the B.E. degree with honours in Electronics and Communication Engineering from
  Rajiv Gandhi Technological University, Bhopal, India, in 2001, the M.Tech. and Ph.D. degrees in Electrical
  Engineering from IIT Kanpur, India, in 2003 and 2008, respectively. 
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• His research interests include signal and image processing, biomedical signal processing, non-stationary
  signal processing, speech signal processing, brain-computer interface, machine learning, and artificial intelligence
  and the internet of things in healthcare. He was an Associate Editor of IEEE Transactions on Neural Systems
  and Rehabilitation Engineering (2021-2024). Currently, he is an Associate Editor of Electronics Letters, IEEE
  Open Journal of Engineering in Medicine and Biology, Computers and Electrical Engineering, and Biomedical Signal
  Processing and Control. He is also serving as a Handling Editor of Signal Processing and an Editor of IETE
  Technical Review journal. He is a Fellow of IETE, IEI, and IET. He has authored the textbook titled “TimeFrequency Analysis Techniques and their Applications” (CRC Press, 2023). He has supervised 21 Ph.D. theses
  (12 Ph.D. theses under progress). He has 347 publications, which include journal articles (218), conference
  papers (91), books (10), and book chapters (28). He has also eight patents, including one Australian patent
  (granted) and seven Indian patents (published). His publications have been cited more than 17000 times with
  h-index of 72 according to Google Scholar.

Email:

Address:India