UT Austin selected into the Prestigious EcoCAR EV Challenge Program

U.S. Department of Energy Secretary Jennifer Granholm announced UT Austin as a new team of the EcoCAR EV Challenge sponsored by Department of Energy, General Motors, MathWorks and managed by Argonne National Laboratory. EcoCAR is a premier collegiate engineering program of Department of Energy Advanced Vehicle Technology Competitions (AVTC) for North American universities. Led by Profs. Junmin Wang (Mechanical Engineering), Joydeep Biswas (Computer Science), and Alex Huang (Electrical Engineering), 100+ undergraduate and graduate students in many disciplines across the UT campus will work on addressing real-world challenges of electrified, connected, and automated vehicles (E-CAV) through multidisciplinary collaborations using GM’s full-electric 2023 Cadillac LYRIQ as the test platform. More details at UT Austin Cockrell School of Engineering and U.S. DOE.

The Inaugural Modeling, Estimation and Control Conference (MECC) will be Held Online and at UT-Austin Oct. 24-27, 2021

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.

Zejiang’s work received 2020 Automotive Systems Best Paper Award from ASME

MSL’s paper “Real-Time Driver Model Parameter Identification: An Algebraic Approach” authored by Zejiang and Prof. Wang received the 2020 Automotive and Transportation Systems Best Paper Award at the American Society of Mechanical Engineers (ASME) 2020 Dynamic Systems and Control Conference. Congratulations!

Selection of this ATS best paper award was made by a committee of 11 experts in the field of automotive and transportation systems.