Professor Hsiao-Dong Chiang is leading a research and development team through a series of energy grid optimization challenges set up by ARPA-E, the Advanced Research Projects Agency–Energy. So far... Read more about Chiang’s team excels in ARPA-E Grid Optimization challenge
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. Dr. Chiang is the founder of Bigwood Systems, Inc. (BSI), Ithaca, NY and Global Optimal Technology, Inc., Ithaca, NY. He was awarded a Chang-Jiang Chair professorship from 2006-2009. He was recognized as an IEEE Fellow in 1997 and became a full professor at Cornell in 1998.
He and his group at Cornell have published more than 350 refereed journal and conference papers. The h-index of his publications is 57. Dr. Chiang has been awarded 12 U.S. patents and four overseas patents, with another nine U.S. patents pending. He was on the editorial board of both IEEE Japan and of the journal Electric Power Components and Systems.
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.
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.
- 2011."ELITE: Ensemble of Optimal, Input-Pruned Neural Networks Using TRUST-TECH."IEEE Transactions on Neural Networks22(1): 96-109. .
- 2011.Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundation, BCU Methodologies, and Applications.: 494 pp. Hoboken, NJ, United States:Wiley. .
- 2009."Application of TRUST-TECH methodology in optimal power flow of power systems." In Optimization in the Energy Industry, 297-318. Springer. .
- 2008."TRUST-TECH-based Expectation Maximization for Learning Finite Mixture Models."IEEE Transactions on Pattern Analysis and Machine Intelligence30(7): 1146-1157. .
- 2006."Trust-Tech Paradigm for Computing high-quality optimal solutions: methods and theory." In Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems. John-Wiley. .
Selected Awards and Honors
- Ranked #2 overall in the ARPA-E Go Competition Challenge II, 2021
- Innovation Project of the Year, United Kingdom Power Networks, 2019
- IEEE Fellow(IEEE),1997
- PES Working Group Award(IEEE Power Engineering Society),1996
- Outstanding Education Award(Cornell University),1990
- Presidential Young Investigator Award(National Science Foundation),1989
- Engineering Initiation Award(National Science Foundation, U.S.A),1988
- B.S.(Electrical Engineering),National Taiwan University,1979
- M.S.(Electrical Engineering),National Taiwan University,1981
- Ph.D.(Electrical Engineering),University of California-Berkeley,1986