NSF-EFRI: Brain-inspired Algorithms for Autonomous Robots

Profs. Wang, Hayhoe, Wei, and Zhu recently received an NSF Emerging Frontiers in Research and Innovation (EFRI) award “Brain-inspired Algorithms for Autonomous Robots (BAAR)”.  This cross-disciplinary project is a collaboration among four disciplines: Mechanical Engineering, Computer Science, Neuroscience, and Psychology. With over $2M from NSF, the research aims to develop novel AI algorithms with principles of neurobiological learning and insights into brain intelligence for autonomous robots such as self-driving vehicles and household collaborative robots.  More information here.

Xingyu Receives the University Graduate Continuing Fellowship, the Highest Honor for UT Austin Graduate Students

Xiingyu Zhou is awarded the University Graduate Continuing Fellowship for 2023-2024 from UT Austin Graduate School. This prestigious and highly competitive Fellowship is based on the academic records and research accomplishments of graduate students and fully supports the awardees’ final-year programs.

This Fellowship is widely considered as the highest honor for doctoral students across UT Austin campus.

Congratulations Xingyu!

Zejiang receives 2022 IEEE Intelligent Transportation Systems Best Dissertation Award – First Prize

Former MSL Ph.D. student, Dr. Zejiang Wang, received the 2022 IEEE Intelligent Transportation Systems Society (ITSS) Best Dissertation Award – First Prize for his dissertation titled, “Motion Control Considering Human Driver Characteristics for Driving Safety Enhancement of Connected and Automated Vehicles”.

This is a prestigious award competed by Ph.D. dissertations worldwide and judged by a committee of international experts.  The Award consists of a $2000 monetary prize and a plaque that will be presented at the IEEE Intelligent Vehicles Symposium to be held in Anchorage, Alaska, USA on 4-7 June. Congratulations Zejiang!

Zejiang graduated from MSL in Spring 2022, and is a R&D Associate Staff at Oak Ridge National Lab.