Free Webinar Series on Machine Learning

Organizer: Computer Engineering, Department Supercomputer Facility, Government Engineering College Rajkot, Gujarat

About the Webinar

  • Free Registration
  • Platform: MS Teams
  • E- Certificates will be provided to all the participants

Webinar on Recent Advances in Biometrics Security with Machine Learning

  • When: 24th April 2022, 08:30 PM, IST
  • Free Registration

Session by: Dr. Sunpreet Singh Arora, Sr. Research Scientist Visa Research, Palo Alto, CA, US

Dr. Sunpreet Singh Arora is a Senior Research Scientist at Visa Research where he leads the identity and authentication research program. He is a co-inventor on over 35 patent applications and has published over 15 research articles.

He received his Ph.D. in Computer Science and Engineering from Michigan State University, and B.Tech. (Hons.) in Computer Science and Engineering from IIIT-Delhi. His research has been featured in several national and international media outlets, such as Forbes, MIT Technology Review, ACM Multimedia, NASA Tech Briefs and BBC UK.

In 2017, he received the honorable Civilian Citation from the Lansing Police Department and Meritorious Service Award from the Michigan State University Police Department for providing assistance in unlocking murder victim’s smartphone using synthetically generated 2D and 3D fingerprints of the victim.

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Session on A Journey from Matrix Learning to Machine Learning

  • When: 01st May 2022, 11:00 AM, IST
  • Free Registration

Session by Dr. Tanujit Chakraborty, Assistant Professor of Statistics Sorbonne University, Abu Dhabi, UAE

Dr. Tanujit Chakraborty is an Assistant Professor in Mathematics and Statistics in the Science Department at Sorbonne University Abu Dhabi. He is also an Associate Member of Sorbonne Centre for Artificial Intelligence (SCAI).

He has completed his B.Sc from West Bengal State University, Kolkata. He has completed his M.S. and Ph.D. from the Indian Statistical Institute, Kolkata. His research interest lies in Statistical Learning, Time Series Forecasting, and Statistical Analysis of Networks. His research publications include over 15 articles, published in international refereed journals, such as IEEE Transactions on Reliability.

He has also served as Statistical Consultants at Bajaj FinServ and ITC Limited and worked as Postdoctoral Fellow at IIIT Delhi and IIIT Bangalore. He had received the prestigious Mphasis research grant to work on Deep Learning. He taught as Visiting Professor at IIFT New Delhi and XIM University Bhubaneswar

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Organizing Team

Prof. (Dr.) C. H. Vithalani Principal
Prof. (Dr.) Chirag S. Thaker, Head of the Department-Computer Engineering Head-Special Initiatives at Institute

Supercomputer Facility Team:

Dr. H. K. Molia, Assistant Professor


Prof. S.R.Kotecha, Assistant Professor Prof. R.J.Khimani, Assistant Professor Members

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