Hsiao-Dong Chiang

Hsiao-Dong Chiang

Electrical and Computer Engineering
Frank H T Rhodes Hall, Room 328


Dr. Hsiao-Dong Chiang received his Ph.D. in Electrical Engineering from the University of California, Berkeley. He is currently a professor in the School of Electrical and Computer Engineering at Cornell University. Chiang was awarded a Chang-Jiang Chair professorship from 2006-2009 and was recognized as an IEEE Fellow in 1997 before becoming a full professor in 1998. Chiang is also the founder of Bigwood Systems, Inc. (BSI) and Global Optimal Technology, Inc..  

BSI was established to provide the utility industry with high-quality software solutions growing out of cutting-edge research and development work.  BSI has served over 50 customers worldwide and over 35 major utility companies. In the United States, On-line EMS products developed by Chiang and his team members at BSI have served utility customers in 45 states that cover over 70% of the US population. In Japan, the BCU method, invented by Chiang, is documented and displayed in the Electric Museum of TEPCO Research Center facility located in Kawasaki, Tokyo, Japan.

Chiang’s current research, development interests, and activities include nonlinear system theory, nonlinear computation methods and theory, nonlinear optimization, and their practical applications to power grids with IBRs, power grids analysis, assessment, optimization, and enhancement. Chiang holds 28 U.S. and overseas patents. He and his research team have published more than 480 papers in refereed journals and conference proceedings, receiving more than 17,500 citations with a H factor of 65. Chiang is an inventor of 28 patented technologies and has successfully managed over 100 projects.

Research Interests

Professor Chiang's research effort is focused on both theoretical developments and practical applications. Particular areas include nonlinear system theory, nonlinear computations and their practical applications to electric circuits, systems, signals and images. He and his co-workers have developed a comprehensive theory of stability regions for general nonlinear dynamical systems (including continuous, discrete, interconnected, hyperbolic and non-hyperbolic nonlinear systems) and their practical applications. He and his co-workers have developed the BCU method and the Group-based BCU method for fast direct stability assessments for electric power systems. He and his group also work on the development of computational methods for the nonlinear analysis and control of large-scale systems.

Teaching Interests

  • Electric power system analysis and optimization.
  • Electric power system dynamic simulation and stability analysis.
  • Nonlinear system stability analysis and control.
  • Nonlinear circuits and systems.
  • Nonlinear optimization and applications.
  • Distribution networks: analysis, control and optimization.
  • Machine learning and data mining.

Selected Publications

  • Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundation, BCU Methodologies, and Applications, John Wiley and Sons, 2011
  • Stability Regions of Nonlinear Dynamical Systems: Theory, Optimal Estimation, and Applications, Cambridge Press, 2015 (with L. F. C. Alberto)
  • "ELITE: Ensemble of Optimal, Input-Pruned Neural Networks Using TRUST-TECH."IEEE Transactions on Neural Networks22(1): 96-109. 2011
  • "Application of TRUST-TECH methodology in optimal power flow of power systems." In Optimization in the Energy Industry, 297-318. 2009
  • "TRUST-TECH-based Expectation Maximization for Learning Finite Mixture Models." IEEE Transactions on Pattern Analysis and Machine Intelligence30(7): 1146-1157. 2008
  • "Trust-Tech Paradigm for Computing high-quality optimal solutions: methods and theory."  In Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems. 2006
  • 280 papers published in IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems, IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery, IEEE Transactions on Energy Conversion, IEEE Transactions on Cybernetics, IEEE Transactions on Pattern Analysis and Machine Learning, IEEE Transactions on Neural Networks
  • 200 conference papers published mostly in IEEE sponsored conferences
  • 100 research reports

Selected Awards and Honors

  • First Place of Department of Energy (DOE) Grid Optimization (GO) Challenge III (Round 1, 2023)
  • First Place of DOE Grid Optimization (GO) Challenge III (Round 3, 2023)
  • Third Place of DOE Grid Optimization (GO) Challenge III (Round 2, 2023)
  • Best paper award, IEEE Transactions on Power systems (2022)
  • Best conference paper award, IEEE PES meeting (2022)
  • DOE Top 2 Grid Optimization (GO) Challenge II -Plus (2022)
  • DOE Top 2 Grid Optimization (GO) Challenge II (2021)
  • DOE Top 10 Grid Optimization (GO) Challenge I (2020)
  • “Innovation Project of the Year” at the UK Networks Awards (2019)
  • IEEE Fellow Award (1997)
  • IEEE Working Group Award (1996)
  • Outstanding Education Award, Cornell University, NY (1990) 
  • United States Presidential Young Investigator Award, USA (1989)
  • Engineering Initiation Award (National Science Foundation) (1988)


  • B.S.(Electrical Engineering),National Taiwan University, 1975-1979
  • M.S.(Electrical Engineering),National Taiwan University,1979-1981
  • Ph.D.(Electrical Engineering),University of California-Berkeley,1983-1986

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