Dr. David Frederic Crouse, electronics engineer at the U.S. Naval Research Laboratory (NRL) Radar Division, is awarded the 2016
International Society of Information Fusion (ISIF) Young Investigator Award for contributions to the theory and promulgation of algorithms for multi-sensor multi-target tracking, estimation and data association.
“The importance of Dr. Crouse’s contributions to the field of tracking and data fusion is widely recognized,” said Dr. Bruce Danly, superintendent, NRL Radar Division. “This award represents formal acknowledgement of the quality and value of the research and development he performs for the Navy and brings recognition and prestige to the NRL for the important contributions he is making.”
Presented July 7, at the International Conference on Information Fusion held in Heidelberg, Germany, the award is granted to candidates no more than 35 years of age to encourage individual effort and to foster increased participation by developing researchers and engineers.
Beginning his career at NRL in August 2011, Crouse is first author on 10 published journal articles directly related to target tracking and multi-sensor data fusion, as well as coauthor on two additional relevant journal articles and author/coauthor of numerous conference papers. Crouse has shown proficiency in a number of areas related to data fusion, often drawing on work from other disciplines that are largely unknown to the data fusion community.
Crouse received his bachelor’s, master’s and doctorate degrees in Electrical Engineering in 2005, 2008, and 2011, respectively, from the University of Connecticut (UCONN). He also received a Bachelor of Arts degree in German linguistics from UCONN, for which he spent a year at the Ruprecht-Karls Universität in Heidelberg, Germany.
He is an Associate Editor for the
IEEE Aerospace and Electronic Systems Magazine in the area of target tracking and is Chair of the IEEE Tracking Systems Panel. A spinoff of his recent work is the Tracker Component Library, available on Github, which provides free, copyleft-free, documented, modular Matlab code for target tracking, saving students and researchers from ‘reinventing the wheel’ when developing new systems. His areas of research at NRL are focused on stochastic signal processing and tracking.
Founded in 1998, ISIF works to advance the field of multi-sensor information fusion and addresses topics related to both active and passive multistatic target localization; tracking; identification; and classification using data from sonar, radar and electro-optical systems.