Akilesh Rajavenkatanarayanan
Senior Researcher at General Motors
Detroit Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAkilesh Rajavenkatanarayanan is a Human-Machine Interaction researcher and Senior Researcher at General Motors with 11 years of experience blending computer science, AI, and human factors to improve the safety and usability of autonomous systems. He has led mixed-methods UX research programs that directly shaped GM’s Driver Monitoring Systems and translated biometric and simulator data into actionable product changes. With a PhD-focused research background and a track record of 15 granted patents, 20 publications, and 700+ citations, he bridges rigorous academic methods and industry impact. He mentors early-career engineers and researchers, steering multidisciplinary teams and global collaborations with universities and internal partners. Notably, he improved predictive human-performance models during his graduate work and applies that predictive lens to real-world vehicle safety challenges. He aims to lead teams that push the boundaries of human-AI collaboration and safer, more trustworthy interaction design.
11 years of coding experience
11 years of employment as a software developer
B.Tech, COMPUTER SCIENCE AND ENGINEERING, 4.0, B.Tech, COMPUTER SCIENCE AND ENGINEERING, 4.0 at Amrita UniversityMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at The University of Texas at ArlingtonHigh School, Computer Science, High School, Computer Science at Holy Cross Mat.Hr.Sec School
English, Tamil, French
Github Skills (37)
siggraph7
gazebo-simulator6
hourglass6
udp6
benchmark6
pose6
ros5
pose-estimation5
kinect-v25
toolbox5
azure-kinect5
pytorch5
camera4
gazebosim4
kinect4
Programming languages (4)
Github contributions (5)
akileshrajan/CogniSmart-Nback
Aug 2019 - Mar 2020
Contributions:39 pushes, 1 branch in 7 months
akileshrajan/sequence-learning
Aug 2017 - Sep 2017
Contributions:2 PRs, 10 pushes, 1 branch in 1 month
sequencenaodeep-learninginteractive-learningadaptation
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