Raunak Bhattacharyya
Assistant Professor at School of Artificial Intelligence, IIT Delhi
New Delhi, Delhi, India
Summary
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Senior🎓
Top SchoolRaunak Bhattacharyya is an Assistant Professor at the Yardi School of Artificial Intelligence, IIT Delhi, specializing in decision making under uncertainty for autonomous systems. He brings eight years of research experience spanning postdoctoral work at the Oxford Robotics Institute and a PhD from Stanford where he developed deep reinforcement learning and system-identification approaches for driver modeling and autonomous driving validation. His work blends theoretical tools from Markov Decision Processes and metacognition with practical robot mission planning and human–robot shared autonomy, reflecting a rare combination of formal modeling and real-world robotics. With dual MS degrees in Computer Science and Aerospace Engineering and early industry experience in simulation and control software, he navigates both aerospace and AI domains fluently. Notably, his research emphasizes learning from demonstration to build realistic human behavior models for safer, certifiable autonomy.
8 years of coding experience
11 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyIndian Institute of Technology BombayDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Stanford University
English, Bengali, Hindi
Github Skills (17)
imitation-learning10
reinforcement-learning10
autonomous-vehicles10
driver10
simulation8
julia7
particle-filter5
tsp-solver4
travelling-salesman-problem4
latex3
pgfplots2
algorithm1
visualization1
ffmpeg1
robotics-simulation1
Programming languages (6)
Github contributions (5)
sisl/AutomotiveInteraction.jl
Feb 2020 - Jul 2020
Driver modeling using the Interaction dataset
Contributions:65 commits, 9 PRs, 94 pushes in 4 months
driver
sisl/ngsim_env
Mar 2018 - Jan 2020
Learning human driver models from NGSIM data with imitation learning.
Contributions:47 commits, 6 PRs, 215 pushes in 1 year 10 months
driverimitation-learningreinforcement-learningautonomous-vehiclesrllab
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