OGUNFUNMI, Tokunbo

Tokunbo Ogunfunmi is a Professor of Electrical and Computer Engineering and the Director of the Information Processing and Machine Learning (IPML) Research Lab in the School of Engineering at Santa Clara University (SCU), Santa Clara, CA. From 2010­-2014, he served as Associate Dean for Research and Faculty Development and from 2021­-2024, he served as   Associate Dean for Mission, Culture and Inclusion in the School of Engineering at SCU.

His current research interests include deep learning/artificial neural networks, adaptive/nonlinear signal processing, digital signal processing, multimedia (speech, video) and VLSI/DSP/FPGA implementations. He has published 4 books and over 200 refereed journal and conference papers in these and related areas.

Dr. Ogunfunmi has been a consultant to industry and government, and a visiting professor at the University of Texas and Stanford University. In 2015 and 2019, he was awarded the prestigious Carnegie Foundation Visiting Professorship. His industrial experience include consulting for companies such as Broadcom, AMD, NEC, AT&T Bell Labs. and NIKON Precision Research & Development. He is also a registered professional engineer in the State of California.

He served as an IEEE Distinguished Lecturer for the Circuits and Systems Society from 2011­-2013. He also served as a Senior Associate Editor for the IEEE Signal Processing Letters and an Associate Editor for both IEEE Transactions on Circuits and Systems­ I and II and for IEEE Transactions on Signal Processing. He has organized and served as Lead Guest Editor for three Special issues of the Journal of Signal Processing Systems (JSPS) and the journal Entropy. Currently he serves on the editorial board of the journal Circuits, Systems and Signal Processing.  He has also served the IEEE as Chair of the Circuits and Systems (CAS) Society Technical Committees on CAS for Communications and CAS for Education and Outreach. He is also a member of other IEEE Technical Committees. From 2007-­2009, he was the Chair of the IEEE Signal Processing Society (SPS) Santa Clara Valley Chapter. He served as General Chair of the 2018 IEEE Workshop on Signal Processing Systems (SiPS) and as Technical Program Co­-Chair of the 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

He is a Senior Member of the Institution of Electrical and Electronic Engineers (IEEE), a Member of Sigma Xi (the Scientific Research Society), and Member of the American Association for the Advancement of Science (AAAS).

Ph.D., Stanford University, 1990
M.S., Stanford University, 1984
B.S., University of Ife, Nigeria, 1980

• Deep Learning: Algorithms, Implementations and Applications
• Digital, Adaptive and nonlinear Signal Processing
• Multimedia (Video/Audio/Speech) signal processing
• DSP/FPGA/VLSI Design

• SCU Presidential Special Recognition Award, 2020
• IEEE Meritorious Service Award as Journal Editor, 2021
• Carnegie Foundation Visiting Professorship, 2015, 2019
• IEEE Meritorious Service Award as Journal Editor, 2013
• IEEE Meritorious Service Award for Section Chair, 2009
• Best Paper Award, Information Systems, ASEE Annual Conference, 2009
• Best Paper Award, IEEE Signal Processing Systems (SiPS) Conference, 2005
• Researcher of the Year Award, School of Engineering, Santa Clara University, 2002

• Digital Signal Processing
• Autonomous Vehicle Systems (Self-Driving Cars)
• Artificial Neural Networks
• Adaptive and Statistical Signal Processing
• Speech Coding, Voice-­over-­IP
• Logic Design, VLSI Design
• Linear Systems, Electric Circuits
• Communications Systems / DSP Design Using Simulink

For a list of Electrical Engineering course descriptions, visit the Undergraduate Course Descriptions page or the Graduate Course Descriptions page.

• Senior Member of IEEE (Institution of Electrical and Electronic Engineers)
• Member of Sigma Xi, Scientific Honor Society
• Member of ASEE (American Society for Engineering Education)
• Member, American Association for the Advancement of Science (AAAS)