Technische Universität Dresden

Contact

Prof. Dr. Tingwen Huang

P.O. Box 5825, Doha, Qatar

Email: tingwen.huang@qatar.tamu.edu

Email: huangtingwen@suat-sz.edu.cn

tel: (+974) 4423-0174

Website

Research Field and Activities

  • Neural Networks & Deep Learning
  • Computational Intelligence
  • Smart Grids & Energy Systems
  • Pattern Recognition & Image Processing
  • Neuromorphic Computing

Short Biography

Tingwen Huang is a distinguished professor and researcher in computational intelligence, currently affiliated with Texas A&M University at Qatar and Shenzhen University of Advanced Technology, China. He earned his Ph.D. in Applied Mathematics from Texas A&M University in 2002.

 Huang’s research focuses on neural networks, machine learning, nonlinear systems, intelligent control, and optimization. His work has been widely recognized, with over 37,000 citations and numerous prestigious awards, including the IEEE Fellowship (2018)

In addition to his academic contributions, he serves as an editor for leading AI and computational intelligence journals and has led multiple research projects funded by the Qatar National Research Fund (QNRF). His work significantly impacts fields such as smart grids, cybersecurity, and artificial intelligence applications.

 Huang remains an influential figure in computational intelligence and applied mathematics, contributing to advancements in both theoretical and practical aspects of AI-driven technologies.

References / Teachings

  • T. Huang, Y. Shi, and C. Wen,
    “Adaptive Control of Nonlinear Systems with Unknown Dead-Zone: A Switched System Approach,”
    IEEE Transactions on Automatic Control, vol. 60, no. 11, pp. 3053-3058, Nov. 2015,
    DOI: 10.1109/TAC.2015.2404612

  • T. Huang, J. Cao, and W. Yu,
    “Synchronization of Complex Dynamical Networks with Coupling Delays via Impulsive Distributed Control,”
    IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 3, pp. 473-486, March 2012,
    DOI: 10.1109/TNNLS.2011.2181861

  • T. Huang, Y. Shi, and M. Chen,
    “Robust Consensus of Multi-Agent Systems with Noisy Measurement and Time Delays,”
    IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 171-181, Jan. 2016,
    DOI: 10.1109/TCYB.2015.2399852

  • T. Huang, W. Lu, and T. Chen,
    “Delay-Dependent Robust Stability of Stochastic Neural Networks with Time-Varying Delay,”
    IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 1087-1094, July 2006,
    DOI: 10.1109/TNN.2006.875974

  • T. Huang, J. Cao, and D. W. C. Ho,
    “Stability Analysis of Neural Networks with Time-Varying Delays: An LMI Approach,”
    IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 36, no. 5, pp. 1245-1254, Oct. 2006,
    DOI: 10.1109/TSMCB.2006.873415