Dr. Benjamin S. Riggan received the B.S. degree in computer engineering from North Carolina State University, in 2009, and the M.S. and Ph.D. degrees in electrical engineering from North Carolina State University, in 2011 and 2014, respectively. Previously, he was a Post-Doctoral Fellow with the U.S. Army Research Laboratory's Image Processing Branch, and he also worked for the Networked Sensing and Fusion Branch of the U.S. Army Research Laboratory. His interests are in areas of biometrics and fusion, which leverage his expertise in image/signal processing, computer vision, and machine learning. He has published many papers, and a book, spanning the subjects of handwriting recognition, face recognition, and fusion. Currently, he is an assistant professor with Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA. His current research involves cross-spectrum face recognition and spatial-temporal data fusion for target detection/recognition.

Dr. Riggan has received multiple "Best Paper Awards," include a best paper awards at the 2016 and 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) and the runner-up best paper award at the 2016 IEEE Biometrics: Theory, Application, and Systems conference.

Prospective Students

I am actively seeking PhD students with prior experience in image/signal processing, computer vision, machine learning, and/or biometrics to start Fall 2021.
**Note that UNL application deadlines are March 1 and September 1 for Fall and Spring admission, respectively.

Experience with python, OpenCV, Tensorflow, Keras, and Pytorch is preferred.

If you are interested, please send me an e-mail at briggan2@unl.edu along with you CV, transcripts (unofficial), and test scores (GRE and TOEFL, if applicable).

Last Updated: February, 16 2020


Please check out recent articles highlighting contributions to nighttime face recognition: washington times, GCN, defenseone, ARL