Graduate Students from SiDi Lab Received Several Awards

Two Ph.D. students and one M.S. student from SiDi Lab recently received several awards and recognition from several international conferences and the University of Texas at Austin.

First, congratulate Daniel Weber, an MS student in the Walker Department of Mechanical Engineering at UT Austin, on receiving the 2022 NSF SFF Student Award and the H. Grady Rylander Longhorn Mechanical Engineering Club Excellence in Teaching Fellowship from Cockrell School of Engineering to recognize the Teaching Assitant “Who excels as a leader and effective communicator in classroom teaching.”

Second, congratulate Xingang Li, a Ph.D. student in the Walker Department of Mechanical Engineering at UT Austin, on receiving the NSF support to attend the 2022 Frontiers in Design Representation Summer School at the University of Maryland.

Finally, congratulate both Xingang Li and Yinshuang Xiao, both are Ph.D. student in the Walker Department of Mechanical Engineering at UT Austin, on being selected to present their work on the 34th International Conference on Design Theory and Methodology (DTM) during the 2022 IDETC/CIE conference. Each of them will receive a $1,000 stipend in support of their travels.

All the awards are very competitive this year and congratulations again to all of them!

A Talk Was Given at CAMDI Seminar Series

Dr. Sha recently jointly presented SiDi Lab’s research on Swarm Manufacturing with Dr. Wenchao Zhou, an Associate Professor in the Department of Mechanical Engineering at the University of Arkansas and the Chief Technology Officer (CTO) of AMBOTS Inc. at the Center for Additive Manufacturing and Design Innovation (CAMDI) of UT Austin. The talk was recorded and is now available.

Paper Published on Design Science

Our paper titled “Robust design of complex socio-technical systems (STS) against seasonal effects: a network motif-based approach” is now published on Design Science. In this paper, we developed a design approach to robust STS by modeling complex systems as complex networks and investigating the significant motifs within the network. The network motifs are critical building blocks of the target system and the motif-based design for desired system property provides a new perspective on the STS engineering and design. Check here to read our article: https://www.doi.org/10.1017/dsj.2021.27.