2006 - W. Wallace McDowell Award, IEEE Computer Society For fundamental contributions to the theory and applications of nonlinear and resource-constrained optimization.
2004 - Fellow of the American Association for the Advancement of Science (AAAS)
2004 - ACM Fellow For leadership in the computer science community and contributions to system optimization.
1998 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For outstanding and pioneering contributions to search optimization with parallel and neural networks approaches.
1991 - IEEE Fellow For contributions to the field of parallel processing.
His Statistics research incorporates elements of Matching (statistics) and Algorithm. Benjamin W. Wah connects Matching (statistics) with Statistics in his research. In his works, he performs multidisciplinary study on Algorithm and Programming language. Many of his studies on Programming language involve topics that are commonly interrelated, such as Test data. In his works, he performs multidisciplinary study on Artificial intelligence and Natural language processing. Benjamin W. Wah connects Natural language processing with Artificial intelligence in his study. Benjamin W. Wah carries out multidisciplinary research, doing studies in Computer vision and Convolutional neural network. In his study, Benjamin W. Wah carries out multidisciplinary Convolutional neural network and Computer vision research. His research is interdisciplinary, bridging the disciplines of Mathematical physics and Invariant (physics).
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Knowledge and data engineering
C.V. Ramamoorthy;B.W. Wah.
IEEE Transactions on Knowledge and Data Engineering (1989)
Significance and Challenges of Big Data Research
Xiaolong Jin;Benjamin W. Wah;Xueqi Cheng;Yuanzhuo Wang.
Big Data Research (2015)
Algorithms for the Satisfiability (SAT) Problem: A Survey,
Jun Gu;Paul W. Purdom;John Franco;Benjamin W. Wah.
Satisfiability Problem: Theory and Applications (1996)
Multi-dimensional regression analysis of time-series data streams
Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah.
very large data bases (2002)
Global optimization for neural network training
Yi Shang;B.W. Wah.
computational science and engineering (1996)
A survey of error-concealment schemes for real-time audio and video transmissions over the Internet
B.W. Wah;Xiao Su;Dong Lin.
international symposium on multimedia (2000)
Temporal planning using subgoal partitioning and resolution in SGPlan
Yixin Chen;Benjamin W. Wah;Chih-Wei Hsu.
Journal of Artificial Intelligence Research (2006)
Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams
Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei.
Distributed and Parallel Databases (2005)
Star-cubing: computing iceberg cubes by top-down and bottom-up integration
Dong Xin;Jiawei Han;Xiaolei Li;Benjamin W. Wah.
very large data bases (2003)
A Discrete Lagrangian-Based Global-SearchMethod for Solving Satisfiability Problems
Yi Shang;Benjamin W. Wah.
Journal of Global Optimization (1998)
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