Associate Professor of Computer Science in the Department of Mathematics, Computer Science and Physics
Contact InfoEmail: firstname.lastname@example.org Phone: (517) 750-6698 Office Location: Whiteman-Gibbs Science Center
- Ph.D. in Computer Science from University of Nebraska, Lincoln, 2005
- M.A. in Computer Science and Engineering from University of Nebraska, Lincoln, 2003
- B.E. in Computer Science and Engineering from University of Science and Technology of China, 1997
Associate Professor of Computer Science
Shasha Wu has been teaching Computer Science at Spring Arbor University since 2005. Dr. Wu received his M.S. and Ph.D. in computer science from the University of Nebraska at Lincoln. His research topics include Software Engineering, Information Visualization Methods for Geographic Information Systems (GIS), Constraint and Spatiotemporal Databases.
Dr. Wu has research and consulting experience in management and implementation of software solutions with a special emphasis on software engineering, knowledge representation, data mining and spatial database applications. He has diverse research and development exposure in spatiotemporal database systems, GIS applications, knowledge-based expert systems and enterprise computing software. His research publications span cognitive science, management science, data visualization and software engineering. He was one of the main developers of the MLPQ Constraint Database Management System while at the University of Nebraska, Lincoln. He was a senior software design engineer that designed and implemented many enterprise computing software suites for several software companies. He is also co-author of many journal and conference papers on stable analysis and design patterns, software stability modeling, information visualization and reasoning, spatiotemporal database systems and sensor networking.
Dr. Wu is very interested in computer programming and enjoys sharing his experience with people who love to program. He coaches the Spring Arbor University computer programming team, which has participated in many collegiate programming competitions and won many awards.