People

Dr. Shuowen “Sean” Hu received the B.S. in electrical and computer engineering from Cornell University in 2005, and the Ph.D. in electrical and computer engineering from Purdue University in 2009. He was awarded the Andrews Fellowship to study at Purdue University, conducting research in biomedical signal processing. Following graduation from Purdue University, he joined the U.S. Army Research Laboratory (ARL) as an electronics engineer in the Image Processing Branch. Dr. Hu has over 40 conference and journal publications. His current research focus is on cross-spectrum face recognition as well as on target detection and classification.

Dr. Nathaniel J. Short is a Lead Scientist at Booz Allen Hamilton. He received his PhD in Computer Engineering from Virginia Tech in 2012. He conducts research and development in computer vision and image processing and has supported various government organizations within DOD, DOJ, and IC. His experience includes R&D of biometric authentication solutions for mobile and traditional assets as well as development of novel biometric recognition techniques to support forensic and surveillance applications. He has several publications in the field of computer vision. He currently supports the U.S. Army Research Lab developing cross-spectrum face recognition algorithms.

Dr. Riggan received the B.S. degree in computer engineering from N.C. State University in 2009, and the M.S. and Ph.D. degrees in electrical engineering from N.C. State University in 2011 and 2014, respectively. After finishing his Ph.D., he was awarded a postdoctoral fellowship at the U.S. Army Research Laboratory’s Image Processing Branch, where he worked on face recognition. Currently, he works for the Networked Sensing and Fusion Branch of the U.S. Army Research Laboratory. Dr. Riggan research 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. His current research involved cross-spectrum face recognition and spatial-temporal data fusion for target detection/recognition.

Dr. Sarfraz is currently working as a senior post-doctoral scientist & lecturer with the computer vision for human interaction (CV-HCI) lab, Karlsruhe Institute of Technology (KIT), Germany. He is the team lead for the work in the direction of face recognition and also member of several related funded projects, where he is working on facial analysis & tracking for identity, age, and gender classification. He obtained his PhD in Computer Vision from Technical University Berlin, Germany in 2008. Before moving to KIT, he served as assistant professor (2009-2012) at the electrical engineering department of COMSATS Institute of Technology, Pakistan. There he founded and directed the Computer Vision Research Group (COMVis). He has published in leading computer vision conferences and journals including three best paper awards at major computer vision conference. Some of his work on cross spectrum face recognition has also appeared in various press/media articles. His research interests include video surveillance, forensic image analysis, face recognition, cross-modal biometrics, and general machine learning.