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H. Bryan Riley

Associate Professor
Electrical Engineering and Computer Science
Stocker Center 322A
Phone: 740.597.3173

Bryan Riley, who joined Ohio University in 2010, has taught courses in signal processing, electrical communication systems, EE capstone design, and hybrid and electric vehicles. Riley, who spent his early career in the automotive industry, has managed multi-disciplined and global engineering teams responsible for introducing advanced electronic features for passenger vehicles such as enhancements to vehicle stability control (VSC), adaptive cruise control (ACC), and other active safety features that warn drivers of potentially hazardous driving conditions. He holds three patents and was responsible for the autonomous brake controls on an 18-month $2.4M U.S. DOT funded automotive collision avoidance system field tests. Since leaving the auto industry, Riley launched Provectus Technical Solutions, LLC, an engineering services company, in 2009.

Research Interests: autonomous vehicles, sensor fusion, active safety features and functions and broad research themes in digital signal processing including detection, classification

All Degrees Earned: Ph.D.; M.S., Electrical Engineering; B.S., Electrical Engineering

Journal Article, Public or Trade Journal (1)

  • Riley, B. (2013). Estimation of Critical Stopping Distances and Time to Stop for Passenger Vehicles Under Various Operating Conditions. 3. Modern Traffic and Transportation Engineering Research (MTTER); 2: 10.

Conference Proceeding (5)

  • Gurudath, N., Celenk, M., Riley, H. (2014). Machine Learning Identification of Diabetic Retinopathy from Fundus Images. IEEE Xplore.
  • AlMahamdy, M., Riley, B., , . (2014). Performance Study of Different Denoising Methods for ECG Signals. Procedia Computer Science; 37: 225-232.
  • Gurudath, N., Riley, B. (2014). Drowsy Driving Detection by ECG Analysis Using Wavelet and K-means Clustering. 1877-0509. Elsevier, Procedia Computer Science; 34: 400-409.
  • Riley, B. (2014). Practical Experience with Hardware and Software in an Electrical Engineering Course. Virginia State University: The 3rd Biennial Interlink Alliance 2014 Faculty Leadership Conference; 3: 4pg.
  • Matolak, D., Yang, F., Riley, B. (2012). Short range forest channel modeling in the 5GHz band. 6th edition. Prague: 6th European Conference on Antennas and Propagation; 5.

Journal Article, Academic Journal (1)

  • Celenk, M., Riley, B. (2013). Robust lane detection in shadows and low illumination conditions using local gradient features. Hainan Island : Open Journal of Applied Sciences ; 7.


  • Riley, H. Devices and Methods for Classifying Diabetic and Macular Degeneration. OU-15015.