Projects and Groups
- Smarter Cities: Analytics, Sensing, Communications, Incentives for Livability and Efficiency
- Spatio-Temporal Analytics
IBM Research - China (Beijing)
Weishan Dong is a Research Staff Member in the Spatial Analytics and Applications team, IBM Research – China. He is a researcher and project technical leader working on spatio-temporal analytics and its applications in IBM Smarter City industrial solutions.
He received his B.E. degree in computer science and technology from the University of Science and Technology of China (USTC) in 2004, and his Ph.D. degree in pattern recognition and intelligent system from the Institute of Automation, Chinese Academy of Sciences in 2009. He also studied as a joint Ph.D. student in the School of Computer Science, The University of Birmingham, UK, in 2008-09. He joined IBM Research – China in 2009.
His research interests include data mining (especially on spatio-temporal data), evolutionary computation, and computer vision. He also focus on their real-world applications in IBM Smarter City solutions and products, including asset management system, crime analytics solution, city operation platform, and business intelligence software. Dr. Dong has more than 20 refereed publications in international journals and conferences. He was the recipient of the Best Conference Paper Award at IEEE SOLI 2011, and the IBM Research Accomplishment "Asset Optimization for Smarter Cities" (2012).
Dr. Dong is also a reviewer of several international journals including IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions of Evolutionary Computation (TEVC), Information Sciences, Theoretical Computer Science, and Journal of Computer Science and Technology (JCST), etc. He was a program committee member of IEEE Congress on Evolutionary Computation (CEC) (2009 & 2010) and IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (2013).