Prof. Wang has been elevated to IEEE Fellow for contributions improving ground vehicle roadway safety. Institute of Electrical and Electronics Engineers (IEEE) is the world’s largest technical professional organization. More details can be found here.
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.
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.
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.
Two MSL papers received award recognitions at the 2022 IFAC Modeling, Estimation and Control Conference in Oct. 2022.
The paper “A Two-Stage Genetic Algorithm for Battery Sizing and Route Optimization of Medium-Duty Electric Delivery Fleets,” by Hyunjin Ahn, Zejiang Wang, Heran Shen, Xingyu Zhou, and Junmin Wang, received the ASME Automotive and Transportation Systems Best Paper Award judged by a committee of international experts from academia and industry.
The paper “Linear Motor Command Tracking: A Novel Immersion and Invariance Adaptive Control Method With Arctangent-Function-Based Parameter Projection,” by Xingyu Zhou, Heran Shen, Zejiang Wang, Hyunjin Ahn, and Junmin Wang, was recognized as one of the finalists for the 2022 MECC Best Student Paper Award.