Matt Brown

Matt Brown

Staff R&D Engineer

Dr. Matt Brown has over 10 years of experience developing advanced imaging systems and image-exploitation algorithms. His expertise spans from the fundamental physics of imaging to the applied aspects of designing and integrating hardware and software to solve challenging problems. Dr. Brown joined Kitware’s computer vision team in 2016 and has made key contributions to various projects. Dr. Brown was the lead algorithm developer on the Defense Advanced Research Project Agency (DARPA) Squad X program, where he wrote software for camera modeling and calibration, multi-modal detection fusion, and target tracking. He was heavily involved in the integration of state-of-the-art algorithms into Kitware’s Threat X framework to support real-time processing across a heterogeneous network of mobile, autonomous sensor systems.

Prior to Kitware, Dr. Brown worked at Logos Technologies, where he developed Wide Area Motion Imagery (WAMI) sensor systems (Kestrel, Simera, Serenity, Redkite) for civilian and military surveillance applications. His contributions included optimizing the design and calibration of complex, multi-camera, optomechanical sensor systems as well as prototyping the associated control and image processing software. At Logos, Dr. Brown was the principal investigator in the development of real-time camera-pose estimation and georegistered EO–IR video rendering algorithms deployed with the sensor systems. He also developed algorithms to demonstrate automated, near-real-time target detection from hyperspectral imagery.

Dr. Brown graduated summa cum laude from Rutgers University in 2006 with a B.S. in Mechanical and Aerospace Engineering. He received his M.S. and his Ph.D. in Mechanical and Aerospace Engineering from Princeton University in 2007 and 2011, respectively. His doctoral dissertation, supervised by Professor Craig Arnold, explored a novel, laser-actuated printing process. This work involved time-resolved imaging experiments coupled with image processing and computational modeling of complex fluid-structure interactions.

  1. M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on Mobile UGV for Squad-Level Threat Alerting," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  2. M. Brown, C. Brasz, Y. Ventikos, and C. Arnold, "Impulsively actuated jets from thin liquid films for high-resolution printing applications," Journal of Fluid Mechanics, vol. 709, pp. 341-370, Oct. 2012. [URL]
  3. M. Brown, E. Glaser, S. Grassinger, A. Slone, and M. Salvador, "Development of an efficient automated hyperspectral processing system using embedded computing," in SPIE Defense, Security, and Sensing, 2012. [URL]
  4. N. Kattamis, M. Brown, and C. Arnold, "Finite element analysis of blister formation in laser-induced forward transfer," Journal of Materials Research, vol. 26, no. 18, pp. 2438-2449, Sep. 2011. [URL]
  5. M. Brown, N. Kattamis, and C. Arnold, "Time-resolved dynamics of laser-induced micro-jets from thin liquid films," Microfluidics and Nanofluidics, vol. 11, no. 2, pp. 199-207, Aug. 2011. [URL]
  6. M. Brown, N. Kattamis, and C. Arnold, "Time-resolved study of polyimide absorption layers for blister-actuated laser-induced forward transfer," Journal of Applied Physics, vol. 107, no. 8, pp. 083103, Apr. 2010. [URL]
  7. M. Brown and C. Arnold, "Fundamentals of Laser-Material Interaction and Application to Multiscale Surface Modification," in Laser Precision Microfabrication. Springer Berlin Heidelberg, 2010, pp. 91-120. [URL]
  8. M. Brown, J. Shan, C. Lin, and F. Zimmermann, "Electrical polarizability of carbon nanotubes in liquid suspension," Applied Physics Letters, vol. 90, no. 20, pp. 203108, May 2007. [URL]