Xinli Wang is an assistant professor in the School of Technology at Michigan Tech. His areas of expertise are global predicate detection in dynamic systems, Microsoft system administration, and simulation modeling and risk assessment of climate change. In addition to teaching courses including Programming, Microsoft Administration, and Network Security, he has supervised Senior Design student teams in virtualization.
Wang’s research activities include designing efficient algorithms for detecting global predicates in dynamic systems; using advanced technologies such as virtualization and cloud computing in hands-on laboratories, focusing on the evaluation of the educational effects of these new technologies and their development; and the risk assessment of climate change, especially the study of how increasing surface ultraviolet radiation affects agricultural production.
Wang is active in the Institute of Electrical and Electronic Engineers Computer Society and serves as a reviewer for conferences sponsored by the Association for Computing Machinery (SIGCSE and ITiCSE conferences). He is also a technical committee member and reviewer for WebTech2011, an international conference.