Brian Mcreynolds

Position:
PhD Student -- ended Aug 2024
Email:
Work phone:
+41779476780
I am currently a Lieutenant Colonel in the US Air Force (USAF). I completed my B.S. degree in Electrical and Computer Engineering at the University of Virginia in 2007 before entering pilot training. I currently hold the rating of Senior Pilot, and have compiled over 3,400 flight hours in the C-5, MQ-9, and T-53A. In addition to flying and official military duties, I obtained a MS degree in Engineering Management from Oklahoma State University in 2014, and a second MS in Applied Physics from the Air Force Institute of Technology in 2019, where I was introduced to dynamic vision sensors (DVS) and began exploring their potential for space-based applications, where power, size, and communication bandwidth are significant constraints. From 2019-2021 I was on faculty as Instructor of Physics at the US Air Force Academy (USAFA) and helped contribute to the FalconNeuro project centered around a payload of 2 DAVIS 240C cameras, which is currently operating on the International Space Station. During that time, I also had the opportunity to supervise several DVS-based independent study projects with 4 different undergraduate students, and served as a committee member for an AFIT MS student thesis. I'm looking forward to learning more about DVS design, optimization, and application at INI while continuing to collaborate with my colleagues at USAFA, Air Force Research Labs, the Air Force Institute of Technology, and the Air Force Office of Scientific research during my PhD studies.

Supervisor

Tobi Delbruck

Publications

2023

2022

  • Brian McReynolds, Rui Graca, Tobi Delbruck Experimental methods to predict dynamic vision sensor event camera performance, Optical Engineering, 2022
  • McHarg, Matthew G. and Balthazor, Richard L. and McReynolds, Brian J. and Howe, David H. and Maloney, Colin J. and O’Keefe, Daniel and Bam, Rayomand and Wilson, Gabriel and Karki, Paras and Marcireau, Alexandre and Cohen, Gregory Falcon Neuro: an event-based sensor on the International Space Station, Optical Engineering, 2022
  • Oliver, Rachel and McReynolds, Brian and Savransky, Dmitry Event-based sensor multiple hypothesis tracker for space domain awareness, Proceedings, Advanced Maui Optical and Space Surveillance Technologies, 2022
  • Tobi Delbruck, Chenghan Li, Rui Graca, Brian Mcreynolds Utility and feasibility of a center surround event camera, IEEE International Conference on Image Processing , 2022