·个人简介
黄廷文是德州农工大学卡塔尔分校，美国德州农工大学的分校的教授。他于1990年毕业于西南师范大学,现西南大学，获学士学位；1993年毕业于四川大学，获硕士学位；2002年获得德州农工大学博士学位。他于2003年加入德州农工大学卡塔尔分校担任助理教授，2013年晋升为教授。他的研究领域包括神经网络、动力系统、复杂网络、优化与控制、智能电网,多智能体。
他是亚太人工智能协会(AAIA),IEEE,国际模式识别协会(IAPR)会士,国际系统与控制科学院院士,欧洲科学与艺术院院士,发展中国家科学院院士。
·研究领域
非线性系统动力性，智能控制与优化，多智能体
（国际影响力）全球前2%等榜单，国际大会组织和报告情况，国际期刊编委
·President, Asia Pacific Neural Networks Society, 2019.
·人工智能领域全球前2%榜单
·主编，人工智能科学与工程，2024-现在.
·Editor-in-Chief, IEEE Systems, Man, and Cybernetics Magazine, 2023-present.
·Associate Editor, Journal of Artificial Intelligence and Soft Computing Research, 2024-present.
·Associate Editor, IEEE Transactions on Industrial Cyber-Physical Systems, 2023-present.
·Associate Editor, IEEE Systems, Man, and Cybernetics Letters, 2023-present
·Associate Editor, IEEE/CAA Journal of Automatica Sinica, 2023-present.
·Associate Editor, Journal of Franklin Institute, 2022-present.
·Associate Editor, IEEE Transactions on Artificial Intelligence, 2022-present.
·Associate Editor, IEEE Transactions onEmerging Topics in Computational Intelligence, 2022-present.
·Associate Editor, Discover Artificial Intelligence, 2021-present.
·Associate Editor, IEEE Transactions on Fuzzy Systems, 2021-present.
·Senior Editor, IEEE Access, 2022-present.
·Editorial Board Member, Mathematical Modelling and Control, 2020-present.
·Action Editor, Neural Networks, 2020-present.
·Associate Editor, Journal of Control and Decision, 2018-present.
·Associate Editor, IEEE Transactions on Cybernetics, 2017-2023.
·Editorial Board Member, Numerical Algebra, Control and Optimization, 2016-2023.
·Associate Editor, IEEE Transactions on Neural Networks and Learning Systems, 2013-2017.
·Associate Editor, Cognitive Computation, 2012-present.
（所获荣誉）国际/国内或研究领域奖项
·Fellow, The World Academy of Sciences (TWAS).
·Member, European Academy of Sciences and Arts (EASA).
·Academician, International Academy for Systems and Cybernetic Sciences (IASCYS).
·Fellow, Institute of Electrical and Electronics Engineers (IEEE).
·Fellow, The International Association of Pattern Recognition (IAPR).
·Fellow, Asia-Pacific Artificial Intelligence Association (AAIA).
·2024 IEEE Transactions on Emerging Topics in Computational Intelligence Outstanding Paper Award for the paper: End-to-end detection-segmentation system for face labeling, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5, 457-467, 2021.
·William J. McCalla ICCAD Ten Year Retrospective Most Influential Paper Award for the paper: Reduction and IR-drop Compensations Techniques for Reliable Neuromorphic Computing Systems, Proceeding of 2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 63-74. 2023.
·The Association of Former Students University-Level Distinguished Achievement Award for Research (the highest honor bestowed to a faculty of Texas A&M University), Texas A&M University, USA, 2022.
·Dean’s Achievement Award, Texas A&M University at Qatar, Qatar, 2022.
·Distinguished Lecturer, IEEE Computational Intelligence Society, 2022-2024.
·Outstanding Achievement Award, Asia Pacific Neural Networks Society, 2021.
·Highly Cited Researcher,inEngineering and Computer Science two fields, Clarivate Analytics (Web of Science), 2019.
·长江讲座教授,教育部，2019.
·Faculty Research Excellence Award, Texas A&M University at Qatar, 2015.
·Best Research Project Award for 2015 (projectNPRP 4-1162-1-181, so far QNRF awarded this high honor to only 5 projects), Qatar National Research Fund, Qatar, 2015.
·Dean’s Fellow for Recognition of Faculty’s Excellence and Achievements, Texas A&M University at Qatar, Qatar, 2014.
lH. Li, Q. Lv, G. Chen, T. Huang and Z. Dong, Distributed constrained optimization over unbalanced directed networks using asynchronous broadcast-based algorithm,IEEE Transactions on Automatic Control,vol. 66, 1102-1115, 2021.
lJ. Li, C. Li, Y. Xu, Z. Dong, K. Wong and T. Huang, Noncooperative game-based distributed charging control for plug-in electric vehicles in distribution networks,IEEE Transactions on Industrial Informatics, vol. 14, 301-310, 2018.
lX. He, D. Ho, T. Huang, J. Yu, H. Abu-Rub and C. Li, Second-order continuous-time algorithms for economic power dispatch in smart grids,IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 48, 1482-1492, 2018.
lH. Wang, T. Huang, X. Liao, H. Abu-Rub and G. Chen, Reinforcement learning for constrained energy trading games with incomplete information,IEEE Transactions on Cybernetics, vol. 47, 3404-3416, 2017
lH. Wang, T. Huang, X. Liao, H. Abu-Rub and G. Chen, Reinforcement learning in energy trading game among smart microgrids,IEEE Transactions on Industrial Electronics, vol. 63, 5109 – 5119, 2016.
