"We are getting close to intelligent machines, but they are showing the necessary weakness of intelligence."
— Richard Feynman

400 Varsity Dr
Raleigh, NC 27606
With 4 years of industry expertise complemented by 3 years in academia, I specialize in the design and optimization of safety-critical autonomous systems. My focus encompasses autonomous vehicles and industrial robot manipulators. I advocate for an all-encompassing system modeling approach, ensuring each module operates both efficiently and reliably through the implementation of safe control algorithms.
Presently, I am deepening my understanding at the nexus of learning theory, Psychology, and reinforcement learning at the CIIGAR Lab, NC State University.
Some professional highlights:
- As a Research Scientist at Unknot.id, Florida, I focused on AI-driven technologies for mobile device navigation in GPS-denied areas.
- At NHK International Corporation, Michigan, I played a key role in developing factory automation systems using advanced robotics and computer vision for dynamic industrial applications.
- A tenure as a research assistant at the Connected and Autonomous Vehicle Research Lab (CAVREL) at the University of Central Florida.
Beyond the academic realm, I am passionate about embarking on novel projects, nurturing my garden, indulging in chess games, absorbing wisdom from books and blogs, and exploring the world.
News
May 9, 2023 |
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Dec 1, 2022 |
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Jun 30, 2022 |
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Apr 28, 2022 |
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Feb 11, 2022 |
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Selected Publications
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RTSSOptimizing Real-Time Performances for Timed-Loop Racing under F1TENTHarXiv e-prints, Dec 2022
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CAVSReal-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle ApplicationsSep 2019
Service
1. Reviewed several conference and journal papers from top venues such as, RTSS, RTAS, DAC, TNNLS, TCRTS, TIST, RTNS, HDIS, ICIST, RTCSA, ICICIP, ICESS, MetroCAD, Field Robotics, and others.
2. Served as Program Committee member for 2nd Workshop on Opportunities and Challenges with Autonomous Racing at ICRA 2022.