Rate My Professor Yuezhou Wang

Minnesota State University, Mankato

4.5

2 reviews · out of 5

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Ratings & reviews

4.08/20/2025

Inspires students to aim high and excel.

5.04/30/2025

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About Yuezhou

Dr. Yuezhou Wang is an Associate Professor in both the Iron Range Engineering and Twin Cities Engineering programs at Minnesota State University, Mankato, within the Department of Integrated Engineering. He earned his B.S. in Mechanical Engineering from Shanghai Jiaotong University, China, in 2008, and his Ph.D. in Materials Science and Engineering from the University of Minnesota, Twin Cities, in 2017. Wang's teaching competencies encompass materials science, structural analysis, finite element modeling, and dynamic systems, supporting the curriculum in these innovative engineering programs focused on practice-based and project-based learning.

Wang's research interests include multiscale modeling of the mechanical behavior of nanofibers and carbon nanotube materials, computational materials science, and engineering education research utilizing learning analytics tools to study student motivation. His selected journal publications feature 'Densification of Single-Walled Carbon Nanotube Films: Mesoscopic Distinct Element Method Simulations and Experimental Validation' by Grigorii Drozdov, Igor Ostanin, Hao Xu, Yuezhou Wang, Traian Dumitrică, et al., in Journal of Applied Physics (2020, Volume 128, Issue 18, Page 184701, Editor’s Pick); 'Mesoscopic friction and network morphology control the mechanics and processing of carbon nanotube yarns' by Yuezhou Wang, Hao Xu, Grigorii Drozdov, and Traian Dumitrică, in Carbon (2018, Volume 139, Pages 94-104); 'Excluded Volume Approach for Ultrathin Carbon Nanotube Network Stabilization: A Mesoscopic Distinct Element Method Study' by Yuezhou Wang, Grigorii Drozdov, Erik K. Hobbie, and Traian Dumitrica, in ACS Applied Materials & Interfaces (2017, Volume 9, Issue 15, Pages 13611-13618); and 'Twisting carbon nanotube ropes with the mesoscopic Distinct Element Method: Geometry, Packing, and Nanomechanics' by Yuezhou Wang, Igor Ostanin, Cristian Gaidau, and Traian Dumitrică, in Langmuir (2015, Volume 31, Number 45, Pages 12323-12327, Cover Article). Additionally, he has contributed to conference proceedings, including 'Understanding learners’ motivation through machine learning analysis on reflection writing' with Elizabeth Pluskwik and Lauren Singelmann at the ASEE Annual Conference (2022); 'Engaging undergraduate students in a biomedical research project: a virtual collaboration across institutes under the pandemic environment' and 'The ‘Muddiest Point’ in Undergraduate Research: A Survey on Students and Faculty about Existing Challenges' at FIE (2021); and 'Strategies to teach innovative and entrepreneurial engineers: Living the Engineering Entrepreneurial Mindset through Active Learning Strategies' at ASEE (2020). Wang received the Peter A. Cundall Award in 2020.