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EECS Faculty Profile

Dr. Lingfeng Wang

Assistant Professor

Contacts

EECS Department
Mail Stop 308
University of Toledo,
Toledo, OH 43606.

Tel: (419) 530-8154
Office: NI 2023
E-mail:
Personal web site

Recent Courses

  • EECS 6980/8980 - Special Topics: Renewable Energy and Smart Grid

Research Interests

  • Sustainable electric power and energy systems (smart grid, renewable energy integration, probabilistic reliability evaluation, transmission planning, etc.)
  • Distributed and embedded sensing and control systems (large-scale real-time sensor networks, middleware, adaptive resource management, industrial automation and informatics, etc.)
  • Intelligent systems (computational intelligence, robotics and agents, heuristic optimization, data mining, games, etc.)
  • * Although these three areas are often seen as relatively independent research fields, they are being synergized in Dr. Wang’s research for effectively dealing with a broad range of challenging problems in power management for the SMART GRID.


Biography

Dr. Lingfeng Wang obtained his Ph.D. degree from the Electrical and Computer Engineering Department at Texas A&M University, College Station, TX in 2008. He also holds B.S. and M.S. from Zhejiang University, Hangzhou, China and M.S. from National University of Singapore. Before joining UT as a faculty member, he was with California ISO for regional transmission planning. Dr. Wang is the recipient of several awards for his research excellence including the Walter J. Karplus Summer Research Grant, and he also wins several best paper awards. He is a member of Educational Activities Committee and Members Activities Committee in IEEE Computational Intelligence Society (IEEE CIS), by serving as the chairs of Student Activities Subcommittee and Student Games-based Competition Subcommittee. Also he is currently the travel grant chair in IEEE CIS. Dr. Wang is the author or coauthor of five books/research monographs and more than 100 technical publications. He served as an editorial board member for several journals and a member of technical program committee for many international conferences. He has given seminar talks in more than 20 universities/national laboratories as an invited speaker. His major research areas are power system reliability, renewable energy integration, computational intelligence, and industrial informatics.

Selected Publications

  • L. F. Wang, C. Singh, and A. Kusiak (Eds), "Wind Power Systems: Applications of Computational Intelligence", Springer Book Series on Green Energy and Technology, Springer-Verlag, Heidelberg, forthcoming.
  • L. F. Wang and C. Singh, "Computational Intelligence in Power System Planning and Operations: Optimization, Reliability Evaluation, and Wind Integration", Springer Series in Power Systems, Springer-Verlag, Heidelberg, forthcoming.
  • L. F. Wang and C. Singh, "Population-based intelligent search in reliability evaluation of generation systems with wind power penetration", IEEE Transactions on Power Systems, Vol. 23, No. 3, pp. 1336-1345, August 2008.
  • L. F. Wang and C. Singh, "Multi-criteria design of hybrid power generation systems based on a modified particle swarm optimization algorithm", IEEE Transactions on Energy Conversion, Vol. 24, No. 1, pp. 163-172, 2009.
  • L. F. Wang and C. Singh, "Balancing risk and cost in fuzzy economic dispatch including wind power penetration based on particle swarm optimization", Electric Power Systems Research, Vol. 78, No. 8, pp. 1361-1368, August 2008. (*One of the most downloaded papers of this journal in ScienceDirect*)
  • L. F. Wang and C. Singh, "A conceptual study on reliability constrained power transmission system planning including wind power", IEEE Power & Energy Society General Meeting 2009, (Invited Panel Paper), Calgary, Alberta, Canada, July 2009.
  • L. F. Wang and C. Singh, "Multi-deme parallel genetic algorithm in reliability analysis of composite power systems", IEEE Power Tech 2009 (PowerTech 09), Bucharest, Romania, June 2009.
  • D. K. Liu, L. F. Wang, and K. C. Tan (Eds), "Design and Control of Intelligent Robotic Systems", Springer Series in Studies in Computational Intelligence, Springer-Verlag, Heidelberg, March 2009, ISBN: 978-3-540-89932-7.
  • L. F. Wang, K. C. Tan, and C. M. Chew, "Evolutionary Robotics: From Algorithms to Implementations, World Scientific Series in Robotics and Intelligent Systems", New Jersey: World Scientific Publishing, June 2006, ISBN: 981-256-870-0.

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