Alumni Research Talks

Research talks remain an essential part of the learning model in the most premier institutes around the world. Alumni Research Talks (ART) based on a similar idea, promises to be a novel concept with immense potential on the Indian front. It is a 3-day long student-industry-research symposium organized by the Department of Computer Science and Information Systems, Computer Science Association and Embryo , BITS PIlani. Featuring research talks by recent BITS graduates currently in Grad schools or working in industry on some really hot research topics, the talks are broadcasted 'live' to the Goa and Hyderabad Campuses of BITS Pilani.

Speaker Profiles for ART 6.0 to be held in Jan 2017:


Nitish Nair

nitishMathematical modelling underpins his work in academic and industrial research. He has intensively worked on deterministic and stochastic simulations of systems from the molecular to the macroscale. Graduate training from UIUC and MIT honed his math and programming skills in the area of carbon nanotechnology. Postdoctoral research at the University of Colorado, Boulder, extended that experience to the domain of polymer science. Industrial research at GM and Shell has exposed him to real-world problems - from reactive transport in exhaust aftertreatment devices to atomistic simulations of hydrocarbons and fluid flow in porous media.


Prasanta Bhattacharya


He is a PhD candidate with the Department of Information Systems at National University of Singapore (School of Computing). he is presently attached to the IS Social Network Lab where he is being advised by Prof.Tuan Q. Phan . He works in the area of Computational Social Science with a special focus on topics concerning social influence, network externalities and computational psycholinguistics. His current stream of research looks at identifying behavioral patterns from social network data.



Raghavendra Singh

raghavendraRaghavendra Singh is a Research Staff member at IBM Research. He is currently a member of the Cognitive Computing group. His research interests are in in the area of information theory, signal processing and representation as applied to a spectrum of problems in neuro-science, compression and transmission of multimedia data, and monitoring of large scale data centers. He did his PhD. in Electrical Engineering from University of Southern California (2001).



Vaibhav Rajan


Research Scientist Vaibhav Rajan joined XRCI as a Research Scientist in July 2012. He currently leads a project in predictive analytics for healthcare aimed at developing novel statistical models and algorithms for disease risk modelling, personalized treatment planning and prediction of emerging medical complications in hospitals.



Recent Lectures