Education

• Ph.D in Electrical Engineering (Systems), The University of Michigan, 2005 Dissertation: An Information Theoretic Approach to Sensor Resource Allocation Advisor: Professor Alfred O. Hero III
• M.S. in Electrical Engineering, The University of Michigan, 1998
• B.S. in Electrical Engineering, The University of Michigan, 1997

Work experience

• 2008-Present: KBR (formerly Integrity Applications Incorporated)
  • Senior Scientist: I fill PI, PM and capture roles for detection, tracking, classification, fusion and AI/ML research efforts from DoD/IC components including DARPA, AFRL, NGA-R and other USG
  • Senior Techncial Fellow: I am responsible for directing activities that will advance the state of the art, anticipating customer needs, assisting in internal funding decisions, and fostering internal techncial excellence through mentoring and recruiting
  • Group Lead: I manage a mid-size team of PhDs, including program assignment, mentoring, and performance evaluation
• 1998-2007: General Dynamics (formerly ERIM)
  • Staff Scientist: PI/Technical lead for a number of Fusion, Filtering, and Sensor Management efforts.
• 1998-2002: The University of Michigan
  • Adjunct Lecturer, Dearborn Campus : Taught ECE 500 (Graduate-level Mathematical Methods for Electrical Engineers); ECE 210 (Circuits I); ECE 273 (Digital Logic Design); ECE 460 and ME 442 (Control Systems Analysis and Design)

Recent Publications

K. Banas, C. Kreucher, A Multi-view CNN for SAR ATR. The Proceedings of the IEEE Radar Conference, Pages 1-6, May 2024. [WWW] [PDF]

C. Kreucher, K. Banas, M. Kosek, B. Raeker, A Multiview Approach for Moving Target SAR ATR. The Proceedings of the MSS Tri-Service Radar Conference, June 2024. [WWW] [PDF]

K. Bell, C. Kreucher, A. Brandwie, J. Johnson, Fully Adaptive Radar Resource Allocation for Tracking and Classification. K. Mishra, M. Rangaswamy, B. Shankar, editors, Next Generation Cognitive Radar Systems, Chapter 9, Pages 277-312. IET Press, December 2023. [WWW] [PDF]

A. Charlish, F. Hofmann, K. Bell, C. Kreucher, Stochastic Control for Cognitive Radar. K. Mishra, M. Rangaswamy, B. Shankar, editors, Next Generation Cognitive Radar Systems, Chapter 10, Pages 313-343. IET Press, December 2023. [WWW] [PDF]

C. Kreucher, SAR-ATR Using EO-based Deep Networks. The Proceedings of the IEEE Radar Conference, Pages 1-5, May 2023. [WWW] [PDF]

Selected Awards and Honors

• Named to IMPACT board of Advisors, 2023
• Named to Inaugural Class of ONE KBR Technical Fellows, 2021
• Named Centauri Technical Fellow, 2019
• Centauri Gold Medal Paper Award, 2020 for paper “SAR-ATR Using Only Synthetic Training Data”.
• KBR (Centauri, IAI) Technical Journal Paper Selections 2011-2023 for papers on information theory, machine learning, ATR, detection, tracking, and imaging.
• Recipient of August 2013 IAI Commendation for leading efforts “to obtain and process classified data resulting in IAI being ahead of schedule on our very challenging set of technical requirements”
• Winner of MITRE’s 2010 Ronald Fante Best Paper Awards for paper “PDF Target Detection and Tracking” (Joint paper with R. Bethel of MITRE).
• Recipient of November 2009 IAI Above and Beyond Award for “conceiving, prototyping, and demonstrating and innovative solution to a Spacecraft Anomaly”.
• Recipient of April 2009 IAI Above and Beyond Award given to a team that wrote a winning proposal for “new radar concepts based on compressed sensing, tracking, and target modeling”.
• GD-AIS Paper Medal Award Winner 2003, 2005, 2006 for papers “Multi-target Sensor Management Using Alpha Divergence Measures” (2003), “Multitarget Tracking using the Joint Multitarget Probability Density” (2005), and “Adaptive Multi-modality Sensor Scheduling for Detection and Tracking of Smart Targets” (2006).
• Veridian Medal Paper Award Winner 2000, 2002 for papers “Nonlinear Filtering for Ground Target Applications” (2000), and “Multiple model nonlinear filtering for low signal ground target applications” (2002).