Professor at The University of Iowa, United States
Prof. shaoping xiao is a distinguished academic and researcher in the field of Mechanical Engineering, currently serving as a Professor in the Department of Mechanical Engineering at The University of Iowa. He is also affiliated with the Iowa Technology Institute and holds the position at 3131 Seamans Center, Iowa City, IA 52242. 
Professional Profiles:
Orcid Profile
Googlescholar profile
ResearchGate profile
LinkedIn
Experience:
BS in Mechanical and Mechanics Engineering, University of Science and Technology of China, 1995 MS in Mechanical and Mechanics Engineering, University of Science and Technology of China, 1998 PhD in Mechanical Engineering, Northwestern University, 2002 Post-Doctorate in Mechanical Engineering, Northwestern University, 2003 
Appointments
Assistant Professor, Department of Mechanical and Industrial Engineering, The University of Iowa, 2003-2008 Associate Professor, Department of Mechanical Engineering, The University of Iowa, 2008-2023 Professor, Department of Mechanical Engineering, The University of Iowa, 2023-present
Achievements:
Awarded the best DEI paper in the Ocean and Marine Engineering Division, ASEE 2022 Annual Conference. Featured article in the Journal of Micromechanics and Molecular Physics, 2017-2022. Chemical Physics Letters most cited paper 2003-2007 award, 2007. Recognized as the best subcontractor of NextGen Aeronautics, 2006. Received the ASME Certificate of Appreciation, ASME, 2005. Second Old Gold summer fellowship, University of Iowa, 2005. Best paper award of 116th annual meeting, The Iowa Academy of Science, 2004.
Research Focus:
Shaoping Xiao’s research focuses on 
Artificial Intelligence and Machine Learning applied to various domains. His work encompasses Reinforcement Learning, 
Intelligent Transportation Systems, and 
Deep Learning for motion planning. He delves into the intersection of 
Multiscale Modeling and Quantum Computing, exploring applications in material science, including metal-ceramic spatially tailored materials. Additionally, Xiao contributes to addressing contemporary challenges, such as the 
COVID-19 pandemic, through agent-based modeling. His expertise extends to designing 
controllable leader-follower networks and investigating the 
strength of material interfaces. Overall, Xiao’s research spans diverse areas, reflecting his commitment to advancing cutting-edge technologies.
Peer Reviewer & Academic Engagements:
Prof. shaoping xiao citation metrics and indices from Google Scholar are as follows:
Citations: 5820 (All), 1724 (Since 2018)
h-index: 24 (All), 19 (Since 2018)
i10-index: 39 (All), 27 (Since 2018)
Publications (TOP NOTES)
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