Lang Tong

Irwin and Joan Jacobs Professor in 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: ltong@ece.cornell.edu


Biography:

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).  Prior to joining Cornell University, he was on faculty at the West Virginia University and the University of Connecticut. He was also the 2001 Cor Wit Visiting Professor at the Delft University of Technology.  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 research is in the general area of statistical signal processing, communications, and complex networks. Using theories and tools from statistical inferences, information theory, and stochastic processes, he is interested in fundamental and practical issues that arise from wireless communications, security, and complex networks including power and energy systems and smart grids. He is part of the Foundation of Information Engineering and Engineering and Economics of Electricity Research Group. He is also a faculty advisor for the Ithaca Math Circle.

Lang Tong is a Fellow of IEEE. He received the 2004 Best Paper Award (with Min Dong) from the IEEE Signal Processing Society, the 2004 Leonard G. Abraham Prize Paper Award from the IEEE Communications Society (with Parvathinathan Venkitasubramaniam and
Srihari Adireddy), and the 1993 Outstanding Young Author Award from the IEEE Circuits and Systems Society. He is a coauthor of seven student paper awards, including two IEEE Signal Processing Society Young Author Best Paper Awards (Qing Zhao in 2000 and Animashree Anandkumar in 2008) for papers published in the IEEE Transactions on Signal Processing. He was named as a 2009 Distinguished Lecturer by the IEEE Signal Processing Society. He was the recipient of the 1996 Young Investigator Award from the Office of Naval Research.
 

Research Group:
Adaptive Communications and Signal Processing Group
Honors and Awards

Currently, there are open postdoc and PhD positions in the areas of statistical inference and optimization for power and energy systems and networks. Strong mathematical background is essential. Knowledge of power systems preferred.

Current Projects:

  • INSPIRE: An Engineering and Economic Pathway to Electric Vehicle-Based Transportation (NSF)
  • CPS:Information and Computation Hierarchy for Smart Grid (NSF)
  • Impact of Bad Data and Cyber Data Attack on Electricity Market Operation (PSerc)
  • Home Energy Management (Intel)
  • Cognitive Spectrum Access: Fundamental Limits, Protocols, and Performance Analysis (NSF)
  • Stochastic Control of Multi-scale Networks: Modeling, Analysis, and Algorithms (ARO-MURI)
  • Networking in the Presence of Adversaries (ARO)
  • Trust: Team for Research in Ubiquitous Secure Technology (NSF)
  • PSerc: Power Systems Engineering Research Center
  • Past Projects
  • Selected Recent Publications:

  • Power/Energy Systems and Smart Grid
  • Statistical inference and signal processing
  • Wireless communications and networks
  • Information theory and network theory
  • Complete Publications:

  • Journal Publications
  • Books and Book Chapters
  • Recent Conference Publications
  • Technical Reports

    Course Offering:

  • Fall 2011: ECE5650: Statistical Signal Processing and Learning
  • Spring 2011: ECE4520: Electric Power Systems II.
  • Fall 2010: ECE 5640 Detection and Estimation.
  • Spring 2010: ECE 4960/5960: Optimal Systems and Network Design
  • Spring 2010: ECE 5950: Probabilistic Methods in Communication Networks (with Prof. Avestimehr)

  • Quote:
    "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

    "You can't possibly get a good technology going without an enormous number of failures. It's a universal rule. If you look at bicycles, there were thousands of weird models built and tried before they found the one that really worked." ---Freeman Dyson.

    Random Photos:
    Forest and Sofia in Yosemite National Park, CA, 2011
    Forest and Sofia in Yunnan, China, 2008
    Forest and Sofia in Peurto Rico 2006
    Forest and Sofia in Ithaca 2004
    Forest and Sofia at the Great Wall 2001