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Brian Rigling

Professor and Ohio Research Scholar for Sensor Exploitation and Fusion

Full-Time Faculty

School of Engineering: Department of Electrical and Computer Engineering

Contact

Email: Brian Rigling
Phone: 937-229-3856
Kettering Labs Room 266 B

Bio

Brian Rigling received the B.S. degree in physics-computer science from the University of Dayton in 1998 and received the M.S. and Ph.D. degrees in electrical engineering from The Ohio State University in 2000 and 2003, respectively. From 2000 to 2004, he was a radar systems engineer for Northrop Grumman Electronic Systems in Baltimore, Maryland. In 2004, Dr. Rigling joined the Department of Electrical Engineering, Wright State University, and was promoted to associate professor in 2009, professor in 2013, department chair in 2014, and Dean of Engineering and Computer Science in 2018. In 2010, he was employed at Science Applications International Corporation as a chief scientist while on leave from Wright State University. In 2022, Dr. Rigling accepted an appointment in the Department of Electrical and Computer Engineering at the University of Dayton as a professor and the Ohio Research Scholar for Sensor Exploitation and Fusion. He has authored chapters for 4 textbooks, has authored more than 120 conference and journal papers, and has received nearly $60M in collaborative research funding in his career. Dr. Rigling served on the IEEE Radar Systems Panel 2009-2018, and was an associate editor for IEEE Transactions on Image Processing 2009-2013. He was the general chair for the 2014 IEEE Radar Conference, was awarded the 2015 IEEE Fred Nathanson Memorial Radar Award, and was elevated to IEEE Fellow in 2018.

Degree

  • Ph.D., electrical engineering

Selected Honors and Awards

  • 2018 IEEE Fellow
  • 2016 Affiliate Societies Council Outstanding Engineers and Scientists Award
  • 2015 IEEE Fred Nathanson Memorial Radar Award

Research Interests

  • Sensor signal and image processing, synthetic aperture radar, bistatic and multistatic radar, waveform design and optimization