Sunil Krishnakumar

I am a systems researcher at TCS Research & Innovation (R&I) Labs , where I am currently working on the domain of Smart Mobility.

I have graduated from Indian Institute of Technology, Hyderabad with Bachelors in Mechanical Engineering. I am very enthusiastic to work in the research of AI and its alliance of Mechanical Engineering.

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At TCS R&I Labs, I've worked with Dr. Prasant Misra in Smart Mobility domain. I have started with working on developing a end-to-end system to identify parking violations at real-time using deep learning techniques. Now we are focussed on eMobility and working on solving the mismatch in supply-demand for Electric vehicle (EV) charging in order for the long-term growth of EV adoption. We are currently testing different RL techniques to build a control strategy to maximize the utilization of the EV charging ecosystem.

Apart from that, I am very interested in working on building autonomous systems and Robots. I am eager to pursue my options in this direction in the future.

In this paper. we present StreetHAWK: an edge-centric, automated, real-time, privacy-preserving system; which leverages the rear camera of a dashboard mounted smartphone, and performs visual scene and location analytics to identify potential parking violations.

In this paper. we propose uberization of private EV chargers for the existing supply-demand imbalance in EV charging ecosystem.

Design and source code from Jon Barron's website