EU

Meet the Team

Sarah Brockman

R&D Engineer

Computer Vision

Kitware New York
Clifton Park, NY

M.S. in Computer Science
University of Massachusetts Amherst

B.S. in Computer Science
University of Massachusetts Amherst

B.S. in Mathematics
University of Massachusetts Amherst

Sarah Brockman

Sarah Brockman is an R&D engineer on Kitware’s Computer Vision Team located in Clifton Park, New York. She assists with developing robust solutions for real-world problems within a variety of CV focus areas, including 3D reconstruction, object-based change detection, feature detection, and motion pattern learning, and anomaly detection, among others.

While earning her degree, Sarah held machine learning research and software engineering internship positions at the Naval Nuclear Laboratory and MIT Lincoln Laboratory.

Sarah received her master’s degree in computer science from the University of Massachusetts at Amherst (UMASS Amherst). She also received her bachelor’s degrees in computer science and mathematics from UMASS Amherst.

Publications

  1. J. Parham, D. Joy, P. Gurram, S. Brockman, R. Blue, A. Hoogs, B. Minnehan, S. Thomas, C. Liberatore, R. Profeta, and T. Rovito, "From Commercial Satellites to National Defense: A Review of VIGILANT for Object Detection, Classification, Mensuration, and Patch-based Search in Satellite Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
  2. D. Melamed, C. Johnson, S. Brockman, R. Blue, A. Hoogs, P. Morrone, and B. Clipp, "Rapid Training of Artificial Intelligence Battle Damage Assessment Tools to New Conflicts," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
  3. C. Reed, R. Gupta, S. Li, S. Brockman, C. Funk, B. Clipp, K. Keutzer, S. Candido, M. Uyttendaele, and T. Darrell, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning," in International Conference on Computer Vision 2023, 2023. [URL]
  4. A. Chambers, A. Stringfellow, B. Luo, S. Underwood, T. Allard, I. Johnston, S. Brockman, L. Shing, A. Wollaber, and C. VanDam, "Automated Business Process Discovery from Unstructured Natural-Language Documents," in International Conference on Business Process Management, 2020. [URL]
  5. M. Blossom, S. Gigure, S. Brockman, A. Kobren, Y. Brun, E. Brunskill, and P. Thomas, "Offline contextual bandits with high probability fairness guarantees," Advances in neural information processing systems, vol. 32, Dec. 2019. [URL]

Bibliography generated 2023-12-04-16:40:27 (6744)