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Dr. H. Bryan Riley

Professor of Practice

Office:  Center for Advanced Manufacturing, One Research Drive, Greenville, SC 29607
Phone: 864 365-0147

Bryan Riley joined Clemson University in July 2019 with significant experience in industry and academia. Having worked for Sandia National Laboratories, General Motors Corporation, Delphi Automotive, and Honeywell Aerospace; he managed multi-disciplined and global engineering teams responsible for introducing advanced electronic features and functions for various state-of-the-art automotive and aerospace applications. He was awarded the prestigious GEM Fellowship and the Stocker Fellowship for graduate studies. Dr. Riley provided technical leadership for intelligent chassis controls for self-driving cars. He holds three patents and a Notification of Allowance for USA Patent App 15/751/947, "Devices and Methods for Classifying Diabetic and Macular Degeneration." Since August 2010, Dr. Riley worked as an Associate Professor teaching both undergraduate and graduate courses in the School of Electrical Engineering and Computer Science (EECS) at Ohio University.  He has also taught courses at Augusta Technical College and more recently at The University of South Carolina – Columbia. Dr. Riley conducted research in the areas of adaptive signal processing, autonomous vehicle controls, sensor fusion, and machine learning.  Dr. Riley currently is a faculty member in The Clemson University Center for Advanced Manufacturing.  He is focused on teaching, research, guiding student-centered problem-based learning as well as the development of transformative technologies to address current and future manufacturing challenges.

Dr. Riley is a member of ASEE, PMP PMI, ITS America, NSBE, IEEE Signal Processing Society, IEEE Eta Kappa Nu, SAE Technical Standards Board, and a senior member of IEEE. He has served as an ABET Program Evaluator for electrical and computer engineering degree programs for over 10 years.

Google Scholar:

Research Gate:


PhD EE, Ohio University, Athens, Ohio

MSEE, North Carolina A&T State University, Greensboro, NC

BSEE, North Carolina A&T State University, Greensboro, NC

Research interests

Digital Signal and Image Processing, Machine Vision, Sensor Fusion, Autonomous Vehicles, and Smart Manufacturing.


H. B. Riley and M. Celenk, “Constraint Decision Optimization Model for Safe Autonomous Vehicle Operation,” 2018 29th Intelligent Vehicles Symposium, (IEEE IV’18), Changshu, Jiangsu Province, China, May 2018.

H. B. Riley et al., “IR Sensing Embedded System Development for Prototype Mobile Platform and Multisensory Data Fusion for Autonomous Convoy,” Advances in Science, Technology and Engineering, Systems Journal (ASTESJ), Vol. 3, No. 4, 372-377 (2018), August 2018, ISSN: 2415-6698.

H. B. Riley and M. Celenk, “IR Sensing Embedded System Development for Prototype Mobile Platform for Autonomous Convoy,” 2nd Int. Conf. Signal and Image Processing (IEEE ICSIP 2017), Singapore, Paper ID 0107, August 2017, Accepted for Publication.

H. B. Riley, “IR Sensing-Based Single Board Computer System Development for Safe Autonomous Vehicle Operation,” Proceedings of American Society of Engineering Education (ASEE 2017), ASEE Press, June 2017.

A. Parajuli, et al., “Performance Assessment of Predictive Lane Boundary Detection for Non-Uniformly Illuminated Roadway Driving Assistance,” 3rd Conf. Computer and Robotic Vision, Canadian Image Processing and Pattern Recognition Society, Victoria, BC, Canada, June 1, 2016.


M. Celenk, H.B. Riley, F. Schwartz, N. Gurudath, “Devices and Methods for Classifying Diabetic and Macular Degeneration,” Ohio University, Athens, OH, Patent Application # 20180235467, Publication Date: August 23, 2018, USPTO Notice of Allowance:  May 2019.

CV available upon request