"We are getting close to intelligent machines, but they are showing the necessary weakness of intelligence."
— Richard Feynman
890 Oval Dr
Raleigh, NC 27606
With over 4 years of industry experience and 3 years in academia, my research focuses on the development and optimization of safety-critical autonomous systems, such as autonomous vehicles and industrial robot manipulators. I am particularly interested in end-to-end system modeling to ensure each module responds in a timely and reliable manner, utilizing safe control algorithms. Currently, I am exploring the fields of reinforcement learning and real-time systems at RTIS Lab at NC State University.
Previously, I worked as a Research Scientist at Unknot.id, Florida and a Research Engineer II at NHK International Corporation, Michigan. I also served as a research assistant at the Connected and Autonomous Vehicle Research Lab (CAVREL) at UCF.
In my free time, I enjoy taking on exciting new projects, gardening, playing chess, reading books and blogs, and traveling.
|Dec 1, 2022||Industry Challenge paper accepted at RTSS 2022.|
|Jul 30, 2022||Transferred to the North Carolina State University.|
|Jun 30, 2022||Ranked 2nd in the USA, 4th in time-trial and 5th in head-to-head internationally in the ICRA 2022 F1tenth competition.|
- RTSSOptimizing Real-Time Performances for Timed-Loop Racing under F1TENTHarXiv e-prints, Dec 2022
- CAVSReal-Time Hardware-In-the-Loop Emulation Framework for DSRC-Based Connected Vehicle ApplicationsSep 2019
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.