Home > Profiles > Yih-Fang Huang

Yih-Fang Huang

Yih-Fang Huang


Department of Electrical Engineering

Concurrent Professor
Department of Computer Science and Engineering

Senior Associate Dean for Education and Undergraduate Programs
College of Engineering

Graduate (1980)
Department of Electrical Engineering

Email: huang@nd.edu

Phone: 574-631-5350

Office: 257 Fitzpatrick


Ph.D, Princeton University, 1982

M.A., Princeton University, 1981

M.S., EE University of Notre Dame, 1980

B.S., EE National Taiwan University, 1976


I was born and raised in Taiwan. I went to National Taiwan University and received my B.S. degree in Electrical Engineering in 1976. After graduation, I worked for RCA Taiwan Ltd. for one year as a quality control engineer in its TV production plant. In August 1977, I came to the United State and enrolled in the graduate program at the University of Notre Dame from which I received my M.S.E.E. degree in January 1980. I started my pursuit of a Ph.D. degree in September 1979 at Princeton University and received my Ph.D. degree from Princeton in October 1982. I joined the faculty of Electrical Engineering at Notre Dame in August 1982 and have been here since then. From July 1998 to June 2006, I had the distinct privilege and pleasure to serve as Chair of the Department of Electrical Engineering.  Since 2013, I have been Senior Associate Dean for Education and Undergraduate Programs for the College of Engineering.  Through my career, I have been blessed by good educators and mentors that genuinely care for other people and delight in their successes. My MS thesis advisor, Dr. Eli Fogel, and Ph.D. dissertation advisor, Dr. John B. Thomas, have been most encouraging and helpful in the early stages of my career. They continue to be good role models that I aspire to be. I have met and worked with many colleagues that are competitive yet collegial. I have spent my sabbaticals in Japan, Germany and Finland, complementing work with the pleasure of experiencing other cultures and visiting interesting places. I also have had the pleasure of working with intelligent and hardworking students who have produced good quality research results and who have become life-long friends.

Over the years, I have had the privilege of receiving some special awards from the University of Notre Dame, including the Presidential Award in 2003, the Electrical Engineering department's Outstanding Teacher Award in 1994 and in 2011, the Rev. Edmund P. Joyce, CSC Award for Excellence in Undergraduate Teaching in 2011, in the Engineering College's Outstanding Teacher of the Year Award in 2013.

Additionally, I was elected Fellow of the Institute of Electrical and Electronic Engineers (the IEEE) in 1995, received the Golden Jubilee Medal of the IEEE Circuits and Systems Society in 1999, Toshiba Fellowship (Japan) in 1993, and the Fulbright-Nokia Scholarship (US-Finland) in 2007.  

Summary of Activities/Interests

Research Interests: My 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. Our current projects involve us in 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. One of the more interesting projects of my research 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 my students and colleagues, my 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, our SMAF algorithms result in a modular adaptive filter architecture that forms the basis of event-triggered adaptation and that may lead to more resource-efficient distributed sensor networks.  Over the years, I have disseminated my research results in more than two hundred journal and conference proceeding papers.   

Professional Activities:  Through my career, I have participated in various activities of the IEEE.  I have served as Associate Editor for the IEEE Transactions on Circuits and Systems (1989-91, 1992-93) and, subsequently, as Vice President for Publications (1997-98) for the IEEE Circuits and Systems Society, and was a Distinguished Lecturer of that society in 200-2001.

Courses: Electric Circuits , Dissertation Research


College Names New Senior Associate Dean

July 26, 2013

Yih-Fang Huang, professor and former department chair of the Department of Electrical Engineering at the University of Notre Dame, has been named senior associate dean of the College of Engineering. Huang’s duties will include oversight of all educational programs within the college, with an emphasis on undergraduate degree programs. He will also oversee the First Year Introduction to Engineering program, the new college leadership program, experiential learning courses within the college, and student success initiatives.

Notre Dame Researchers Examining Electric Vehicles and the Power Grid

December 14, 2012

As plug-in electric vehicles become an ever more central part of America’s daily life, University of Notre Dame researchers are anticipating what that development will mean for the nation’s power grid. Under funding from the National Science Foundation’s Cyber-Physical Systems Program, a research group is attempting to develop mathematical algorithms to help guide the integration of plug-in electric vehicles (PEVs) into the power grid.