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.
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.
The inaugural Modeling, Estimation and Control Conference (MECC 2021) sponsored by the American Automatic Control Council (AACC) and co-sponsored by the International Federation of Automatic Control (IFAC) will be held online and at UT-Austin Oct. 24-27, 2021. MECC2021 Call for Papers can be downloaded here.
MECC 2021 aims to serve the scientific and engineering communities with interests in the modeling, estimation, and control of cross-disciplinary mechanical systems; to provide a platform for the dissemination and discussion of the state of the art in relevant research areas; and to create opportunities for networking with colleagues. MECC 2021 will feature conference awards, contributed sessions, invited sessions, workshops, special sessions, plenary talks, keynote speeches, student programs, as well as committee meetings, industry programs, and social functions. MECC 2021 invites (1) manuscripts that report original research on all aspects of modeling, estimation, and control; and (2) proposals for invited, special, and tutorial sessions, and workshops on emerging topics.
Prof. Wang joined with other colleagues on the inaugural editorial board of the new ASME Journal of Autonomous Vehicles and Systems, which provides an international platform for the communication of knowledge and solutions in the area of the research and design of autonomous vehicles and systems operating in all media and inter-medium environments: ground, air, space, and water.
The Mobility Systems Lab at University of Texas at Austin has several positions for post-doc researchers and graduate student researchers on automated driving systems, individualized vehicle control, and human-in-the-loop driving simulations.
Interested candidates please directly send email applications to Prof. Wang.