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Sen Maw Kuo
Professor and Chair

Department of Electrical Engineering

Northern Illinois University, Dekalb, IL 60115

Contact Info:
Office: 322 Engineering Building,
Email : kuo@ceet.niu.edu
Phone : 815-753-0557

 


Sen M. Kuo

Teaching and Research Interests:

Real-time digital signal processing and adaptive filtering applications, active noise and vibration control, adaptive and acoustic echo cancellation, digital audio and biomedical applications, and applications of digital signal processors.

Biographical Information:

Sen M. Kuo received the B.S. degree from the National Taiwan Normal University, Taipei, Taiwan, in 1976 and the M.S. and Ph.D. degrees from the University of New Mexico in 1983 and 1985, respectively. He is currently a Professor and Chair at the Department of Electrical Engineering, Northern Illinois University, DeKalb, IL. In 1993, he was with Texas Instruments, Houston, TX. He serves as an associate editor for IEEE Transactions on Audio, Speech and Language Processing (Jun 2006 to present). He is the leading author of five books: Active Noise Control Systems: Algorithms and DSP Implementations (Wiley, 1996), Real-Time Digital Signal Processing: Implementations, Applications, and Experiments with the TMS320C55x (Wiley, 2001), Digital Signal Processors: Architectures, Implementations, and Applications (Prentice Hall, 2005), Design of Active Noise Control Systems with the TMS320 Family (Texas Instruments, 1996), Real-Time Digital Signal Processing: Implementations and Applications, 2nd Ed., (Wiley 2006), and a co-author of book: Embedded Signal Processing with the Micro Signal Architecture (Wiley 2007). He has been awarded seven US patents and has published over 190 technical papers. He received the IEEE Chester Sall Award for the first-place Transactions (Consumer Electronics) paper award in 1993, and the Faculty-of-the-Year Award in 2001 for accomplishments in research and scholarly areas. His research focuses on active noise and vibration control, adaptive echo and noise cancellation, digital audio applications, real-time digital signal processing applications, biomedical signal processing and digital communications.