Technologies to Counter Unmanned Aircraft Systems

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 45 conference and journal publications - he received a best paper award at IEEE WACV 2016, a runner-up best paper award at IEEE BTAS 2016, and three of his journal articles have been highlighted in OSA's "Spotlight on Optics". His current research focuses on cross-spectrum face recognition as well as on target detection and classification.


Geoffrey Goldman has worked as an electrical engineer at Army Research Laboratory (ARL) since 1988 in the fields of imaging, tracking, detecting, and modeling targets using acoustics and radar. Recently, he has been developing acoustic algorithms to detect and track unmanned aerial vehicles. He has eight patents and over 40 conference and journal publications. He received the B.S. degree in physics from the University of Maryland, College Park, in 1985 and the M.S. degree in biomedical engineering from University of North Carolina, Chapel Hill, in 1988, and the M.S. degree in electrical engineering from Johns Hopkins University in 2000.


Dr. Christoph Borel-Donohue has over 30 years of experience in optical and microwave remote sensing with over 100 publications, 15 in peer reviewed journals. He worked at Los Alamos National Laboratory, Ball Aerospace, Air Force Institute of Technology and joined at the Army Research Laboratory in April of 2015. He pioneered the use of the radiosity method in optical remote sensing to explain non-linear spectral mixing on rough surfaces and for vegetation. He developed temperature emissivity retrieval method ARTEMISS for LWIR. He developed atmospheric correction algorithms APDA for water vapor retrieval in the NIR. He performed end-to-end processing for thermal data for a multispectral sensor (MTI) to accurately retrieve water temperature. His interests are in image enhancements, end-to-end simulation of EO systems, synthetic scene and target generation, sub-pixel target detection and tracking, video analysis, OPIR, and natural gamma ray spectrum radiation background prediction.