Academic Research Summit 2019 on Data Science and AI

About

Microsoft Research (MSR) is organising the fourth edition of the Academic Research Summit, in partnership with the Association for Computing Machinery (ACM) India and the Robert Bosch Centre for Data Science and AI at IIT Madras. The summit will be held on the 24th and 25th of January 2019 at the ICSR Auditorium in IIT Madras.

AI researchers are striving to create intelligent machines that complement human reasoning and enrich human experiences and capabilities. At the core is the ability to harness the explosion of digital data and computational power with advanced algorithms that extend the ability for machines to learn, reason, sense, and understand—enabling collaborative and natural interactions between machines and humans. The Academic Research Summit 2019 is focused on the theme of Data Science and AI.

The agenda of the summit will include keynotes, talks and other tracks from distinguished researchers from India and across the world. Among the speakers expected at the event are Eric Horvitz, Raghu Ramakrishnan, etc.

More details on the list of speakers, sessions and the complete agenda will be posted here soon.

Participation at the summit is via invitation and prior registration only.

For any queries about the summit, please email: indiamrc@microsoft.com

Agenda

Broad agenda as below. Details of individual talks and Tracks will be updated soon.

24th January 2019
9:00 – 10:00     Registration
10:00 – 10:45    Welcome session
10:45 – 11:45     Plenary Talk
11:45 – 12:05     Break
12: 05 – 13: 00  Talk
13 :00 – 14:00  Lunch
14:00 – 15:45   Track: Systems in AI
15:45: 16:05     Break
16:05 – 16: 50  Panel Discussion
16:50 – 18:00  Poster Session
18:00 – 19:00 Travel to Dinner
19:00 – 22:00 Dinner 

25th January
10:00 – 10:50 Plenary Talk – 2
10:50 – 11:15 Short talk
11:15 – 11:30 Break
11:30 – 12:45 Industry Track: Data Science in Action
12:45 – 1:45 Lunch
1:45 – 15:00 Track: AI for Social Good
15:00 – 15:20 Break
15:20 – 16:00 Closing Talk
16:00 – 16:30 Wrap-up