January 20 & 22-25 2024

This event has been postponed to January 20, 22 to 25, 2024 (Only in Online Mode)

About the Winter School

Machine Learning is one of the fastest growing areas with applications in almost every area affecting our lives. It is important for researchers and students to keep abreast of the latest developments in this area. The winter school aims to bridge this gap through sessions on current research by luminary researchers in the field

Objectives

Learn about the latest developments in some of the best institutes in India

Improve your skills through theory and hands-on sessions for every topic

Foster your network and initiate new collaborations

Speakers

	Dr. Vaanathi Sundaresan Computational and Data Sciences, Indian Institute of Science Bangalore
	Prof. Venkatesh Babu Computational and Data Sciences, Indian Institute of Science Bangalore
	Prof. Neelam Sinha Centre for Brain Research, Indian Institute of Science Bangalore
	Prof. Malay Bhattacharyya Machine Intelligence Unit, Indian Statistical Institute, Kolkata

Day-wise Topics

Day 1 : January 20 : Machine learning in Computational Biology

Day 2 : January 22 : Computer Vision and Video Analytics

Day 3 : January 23 : Medical Imaging in Precision Medicine, AI in Clinical Decision Support, Adaptive Deep Learning for MR Imaging

Day 4 : January 24 :Computer Vision Hands-on, Panel Discussion

Day 5 : January 25 : MR Image Analysis, Funding and commercialization opportunities for AI at IITM Pravartak

All topics consist of a theory session followed by hands-on demonstration. Examples will be from topics of current research in their labs

Who will benefit?

Faculty members, Researchers, Doctoral students, Masters and Bachelors students looking for research oportunities, industry professionals

Coordinators

Prof. Uma Satya Ranjan, Professor, SRET
Prof. T. Ragunathan, Dean, SRET

Registration

Registration fee : Rs. 500 per participant

Dates : January 20, 22 – 25 2024, 9.30 AM to 5 PM.


Limited number of on-campus accommodation available on payment basis for out-station participants

Certificates will be issued to all participants

This event has been postponed to January 20, 22 to 25, 2024 (Only in Online Mode)

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