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. 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]

K. Banas, T. Hill, C. Kreucher, B. Raeker, K. Simpson, K. Weeks, Novel View Synthesis with Compressed Sensing as Data Augmentation for SAR ATR. The Proceedings of SPIE Defense and Commercial Sensing Conference, May 2023. [WWW] [PDF]

B. Raeker, T. Hill, C. Kreucher, K. Banas, K. Tactac, K. Simpson, K. Weeks, Improving SAR ATR Using Synthetic Data via Transfer Learning. The Proceedings of SPIE Defense and Commercial Sensing Conference, 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).