Current Positions

Professor, Department of Electrical Engineering
Concurrent Professor, Department of Computer Science and Engineering
Senior Associate Dean for Education and Undergraduate Programs, College of Engineering

Education

Ph.D., Electrical Engineering, Princeton University
M.A., Princeton University
M.S., Electrical Engineering, University of Notre Dame
B.S., Electrical Engineering, National Taiwan University

Research Interests

Prof. Huang's research interests focus on theory and applications of detection and estimation. The conventional approaches to solving the problems of detection and estimation are typically based on the principles of mathematical statistics. When those problems arise within the context of signal processing or communications, they are referred to as statistical signal processing or statistical communications, respectively. The underpinning statistical principles are, however, applicable to a wide range of problems that include bio-related engineering problems and financial data analysis. Current projects involve the statistical signal processing problems that arise in interference mitigation and management for wireless communications, in distributed sensor networks, as well as those in the development of smart electric power grid technologies. A more interesting project is concerned with Set-Membership Adaptive Filtering (SMAF), which features discerning use of input data and selective update of filter coefficients. For nearly three decades, collaborating with students and colleagues, the Huang research group has developed a number of SMAF algorithms noted in the research community. Those algorithms are viable alternatives to conventional adaptive algorithms such as recursive least-squares (RLS) and least-mean-squares (LMS). Due to the selective update feature, SMAF algorithms result in a modular adaptive filter architecture that forms the basis of event-triggered adaptation that may lead to more resource-efficient distributed sensor networks.

Key Words

Electricity and Smart Grid Technology

Relevant Energy Publications

1. Arablouei, Reza, Stefan Werner, Kutluyıl Doğançay, and Yih-Fang Huang. "Analysis of a reduced-communication diffusion LMS algorithm." Signal Processing 117 (2015): 355-361.
2. Bai, Cheng-Zong, Vaibhav Katewa, Vijay Gupta, and Yih-Fang Huang. "A stochastic sensor selection scheme for sequential hypothesis testing with multiple sensors." IEEE transactions on signal processing 63, no. 14 (2015): 3687-3699.
3. Huang, Yih-Fang, Shalinee Kishore, Visa Koivunen, Danilo Mandic, and Lang Tong. "Introduction to the Issue on Signal Processing in Smart Electric Power Grid." IEEE Journal of Selected Topics in Signal Processing 8, no. 6 (2014): 1019-1021.
4. Kashyap, Neelabh, Stefan Werner, Yih-Fang Huang, and Taneli Riihonen. "Power system state estimation under incomplete PMU observability—A reduced-order approach." IEEE Journal of Selected Topics in Signal Processing 8, no. 6 (2014): 1051-1062.

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