Lang Tong

Irwin and Joan Jacobs Professor of Engineering
School of Electrical and Computer Engineering
Center for Applied Mathematics
384 Frank H.T. Rhodes Hall
Cornell University, Ithaca, NY 14853
Phone/Fax: (607) 255 - 3900/9072
    E-Mail: LT35@cornell.edu

 
Lang Tong joined Cornell University in 1998 where he is now the Irwin and Joan Jacobs Professor in Engineering and the Cornell site director of the Power Systems Engineering Research Center (PSerc). . He received the B.E. degree from Tsinghua University, Beijing, P.R. China in 1985, and PhD degree in EE from the University of Notre Dame, Notre Dame, Indiana in 1991. He was a  Postdoctoral Research Affiliate at the Information Systems Laboratory, Stanford University in 1991.
 
Lang Tong's current research focuses on energy systems and smart power grid. In particular, his group investigates data analytics, system optimization, and market issues associated with renewable energy, storage, and the electrification of transportation systems. He is part of the Engineering and Economics of Electricity Research Group.

Professor Tong is the 2018 Fulbright Distinguished Chair in Alternative Energy. A Fellow of IEEE and a Distinguished Lecturer (2009), Professor Tong received numerous paper awards including the IEEE Signal Processing Society Best Paper Award (2004), IEEE Communications Society Leonard G. Abraham Prize Paper Award (2004), IEEE Circuits and Systems Society Outstanding Young Author Award (1993), IEEE Power & Energy Systems General Meeting Best Paper Selection (2015,2016,2018). He is a coauthor of seven student paper awards, including two IEEE Signal Processing Society Young Author Best Paper Awards (2000,2008) for papers published in the IEEE Transactions on Signal Processing.
 
Research Group
Honors and Awards

Sample Projects:
  • Sustainable Integration of Distributed Energy Resources in Distribution Systems (NSF)
  • Deadline Scheduling and Sensor Fusion (NSF)
  • An Engineering and Economic Pathway to Electric Vehicle-Based Transportation (NSF)
  • Information and Computation Hierarchy for Smart Grid (NSF)
  • Probabilistic Forecasting of Congestion and Locational Marginal Price (DoE)

  • Selected Recent Publications:
    Energy Systems and Smart Power Grid
    Statistical Inference, Machine Learning, and Signal Processing
    Information theory and network theory

    Additional Publications:
  • Complete Journal Publications
  • Google Scholars


  • Course Offering:
  • Fall 2017: ECE2200: Signals and Information
  • Spring 2018: ECE4520/ECE5520: Power System and Market Operations


  • Quotes:
    "Each morning before breakfast every single one of us approaches an urn filled with white and black balls. We draw a ball. If it is white, we survive the day. If it is black, we die. The proportion of black balls in the urn is not the same for each day, but grows as we become older.... Still there are always some white balls present, and some of us continue to draw them day after day for many years."---J. Neyman and E.L. Scott