The IEEE Young Professionals affinity group under the IEEE Kharagpur Section is pleased to announce an online webinar in the “KYP Talks” series. In this series, we will host invited talks by experts from India and abroad on a wide range of current topics for the large community within and outside the IEEE Kharagpur Section.

 

We are pleased to host Prof. Birenjith Sasidharan, Govt. Engg. College Barton Hill as our CHECK THIS speaker in the “KYP Talks” Series. This talk is jointly organized with Theory Matters, an online seminar series on EECS Theory.

The following are the details of the eighth talk in this series:

Title:On Theory of Simulators on COVID-19 Outbreak in India

Date : Thursday, 17th September 2020

Time : 3:30 pm to 4:30 pm

Venue : Google Meet

 

The audience members can join the live talk by sharing basic details through the registration link (given below). There will be a Q and A session during/after the talk.

 

With Best Wishes,

IEEE YPAG Team,

IEEE Kharagpur Section.

For Registration Click Here

Speaker

Prof. Birenjith Sasidharan,

Dept. of Electronics and Communication Engineering,
Govt. Engg. College, Barton Hill

Birenjith Sasidharan received his B.Tech. from College of Engineering Trivandrum in 2002, his masters and Ph. D. from Indian Institute of Science, Bangalore respectively in 2008 and in 2017. In 2012, he worked as an intern in the Advanced Technology group of NetApp, Bangalore. Presently, he is a faculty member at Govt. Engineering College, Barton Hill at the department of Electronics and Communication Engineering. He has worked as a member of the team constituted by Kerala State Disaster Management Authority to model Covid-19 epidemic for the state of Kerala. His areas of interests include codes for distributed storage, wireless communication, and coding schemes for 5G and IoT.

Two modeling frameworks are primarily used for Covid-19 projections in India. In the first, variants of deterministic meta-population SEIR model capture the temporal dynamics of the epidemic. Standard models such as gravity model or radiation model can be superimposed on top of the SEIR model to incorporate spatial dynamics of the epidemic spread. In the second, stochastic agent based models synthetically instantiate a heterogenous population and thereby capture the spatio-temporal dynamics of the outbreak. In this talk, we will briefly look into the theory of these models, and shall point out one or two problems of  interest. We shall also introduce a publicly available geo-temporal simulator https://covidsim.in that we have recently developed.