World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11266
World Ranking
6109
National Ranking
805

Research.com Recognitions

  • 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.

Overview

Benjamin W. Wah is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans the fields of Computer Science and Engineering, with notable focus areas including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Science Applications, and Aerospace Engineering.

The scientist's work covers several main topics, such as:

  • Online Learning and Analytics
  • Intelligent Tutoring Systems and Adaptive Learning
  • Explainable Artificial Intelligence (XAI)
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis

Benjamin W. Wah has contributed to multiple peer-reviewed papers, including:

  • "Using Kernels to Harness the Complexity of Big Data Applications," 2022, International Journal of Artificial Intelligence Tools
  • "Optimizing Multidimensional Perceptual Quality in Online Interactive Multimedia," 2023, IEEE Multimedia
  • "Dominance Pruning in Machine Learning for Solving Financial Trading and Real-Time Multimedia Applications," 2023, American Journal of Artificial Intelligence

Although not the primary author for all, a paper associated with their recent network includes "Vision, challenges, roles and research issues of Artificial Intelligence in Education," 2020, published in Computers and Education Artificial Intelligence.

Frequent publication venues for Benjamin W. Wah include:

  • Computers and Education Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Artificial Intelligence Tools
  • IEEE Multimedia
  • American Journal of Artificial Intelligence

Benjamin collaborates often with other researchers including Feihu Zhang, Gwo-Jen Hwang, Haoran Xie, Dragan Gašević, and Xiaojuan Qi.

The following recognitions have been awarded to Benjamin W. Wah:

  • W. Wallace McDowell Award, IEEE Computer Society, 2006, for fundamental contributions to the theory and applications of nonlinear and resource-constrained optimization
  • Fellow of the American Association for the Advancement of Science (AAAS), 2004
  • ACM Fellow, 2004, for leadership in the computer science community and contributions to system optimization
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 1998, for outstanding and pioneering contributions to search optimization with parallel and neural networks approaches
  • IEEE Fellow, 1991, for contributions to the field of parallel processing

Best Publications

  • Vision, challenges, roles and research issues of Artificial Intelligence in Education

    Gwo-Jen Hwang;Haoran Xie;Benjamin W. Wah;Dragan Gašević

  • Knowledge and data engineering

    C.V. Ramamoorthy;B.W. Wah

  • Significance and Challenges of Big Data Research

    Xiaolong Jin;Benjamin W. Wah;Xueqi Cheng;Yuanzhuo Wang

  • Algorithms for the Satisfiability (SAT) Problem: A Survey,

    Jun Gu;Paul W. Purdom;John Franco;Benjamin W. Wah

  • Multi-dimensional regression analysis of time-series data streams

    Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

  • Global optimization for neural network training

    Yi Shang;B.W. Wah

  • A survey of error-concealment schemes for real-time audio and video transmissions over the Internet

    B.W. Wah;Xiao Su;Dong Lin

  • Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

    Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

  • Temporal planning using subgoal partitioning and resolution in SGPlan

    Yixin Chen;Benjamin W. Wah;Chih-Wei Hsu

  • Star-cubing: computing iceberg cubes by top-down and bottom-up integration

    Dong Xin;Jiawei Han;Xiaolei Li;Benjamin W. Wah

  • A Discrete Lagrangian-Based Global-SearchMethod for Solving Satisfiability Problems

    Yi Shang;Benjamin W. Wah

  • Artificial Neural Networks: Concepts and Theory

    Pankaj Mehra;Benjamin W. Wah

  • Domain-invariant stereo matching networks

    Feihu Zhang;Xiaojuan Qi;Ruigang Yang;Victor Prisacariu

  • Scheduling of genetic algorithms in a noisy environment

    Akiko N. Aizawa;Benjamin W. Wah

  • Coping with Anomalies in Parallel Branch-and-Bound Algorithms

    Guo-Jie Li;Benjamin W. Wah

  • Deep FusionNet for Point Cloud Semantic Segmentation

    Feihu Zhang;Jin Fang;Benjamin W. Wah;Philip H. S. Torr

  • A Unix-Based Local Computer Network with Load Balancing

    Kai Hwang;Croft;Goble;Wah

  • Systematic approaches to the design of algorithmically specified systolic arrays

    J. Fortes;K. Fu;B. Wah

  • Recent development in multimedia e-learning technologies

    Rynson W. Lau;Neil Y. Yen;Frederick Li;Benjamin Wah

  • Wiley Encyclopedia of Computer Science and Engineering

    Benjamin W. Wah

  • Design of optimal systolic arrays

    G.J. Li;B.W. Wah

Frequent Co-Authors

Yixin Chen
Yixin Chen Washington University in St. Louis
Yi Shang
Yi Shang University of Missouri
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Guozhu Dong
Guozhu Dong Wright State University
Qing Li
Qing Li Hong Kong Polytechnic University
Jianyong Wang
Jianyong Wang Tsinghua University
Jian Pei
Jian Pei Duke University
Cha Zhang
Cha Zhang Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford

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