Bruce Maxwell

(he/him/his)

Teaching Professor, Director of Computing Programs – Seattle

Bruce Maxwell
  • Computer vision
  • Machine learning
  • Artificial intelligence
  • Robotics
  • Data science
  • PhD in Robotics, Carnegie Mellon University
  • MPhil in Computer Speech and Natural Language Processing, University of Cambridge
  • BS in Engineering, Swarthmore College
  • BA in Political Science, Swarthmore College

Bruce Maxwell is a teaching professor and director of computing programs in the Khoury College of Computer Sciences at Northeastern University, based in Seattle.

Maxwell's areas of teaching include computer vision, computer graphics, robotics, machine learning, and more. He researches computer vision, with a focus on physics-based vision, intrinsic imaging, and the impact of input data space choices on deep networks.  

Prior to joining Northeastern, Maxwell worked as an associate professor of engineering at Swarthmore College, and professor and chair of computer science at Colby College. His haikus have been published in the ACM Inroads Magazine.

Outside of the classroom and the lab, Maxwell enjoys swimming, running, biking, hiking, birding, carpentry, and gardening. 

  • Essential Computing Concepts (Draft): An Alternative to CS2023 for Colleges

    Citation: Alyce Brady, Megan Olsen, Rick Blumenthal , Grant Braught, Janet Davis, Bruce A. Maxwell, Karl R. B. Schmitt, Andrea Tartaro, Henry MacKay Walker, Amanda M. Holland-Minkley. (2026). Essential Computing Concepts (Draft): An Alternative to CS2023 for Colleges J. Comput. Sci. Coll., 41, 41-43. https://dl.acm.org/doi/10.5555/3820586.3820599

  • Using Texture to Classify Forests Separately from Vegetation

    Citation: David R. Treadwell IV, Derek Jacoby, William Parkinson, Bruce Maxwell, Yvonne Coady. (2024). Using Texture to Classify Forests Separately from Vegetation PACRIM, 1-5. https://doi.org/10.1109/PACRIM61180.2024.10690184

  • Logarithmic Lenses: Exploring Log RGB Data for Image Classification

    Citation: Bruce A. Maxwell, Sumegha Singhania, Avnish Patel, Rahul Kumar, Heather Fryling, Sihan Li, Haonan Sun, Ping He, Zewen Li. (2024). Logarithmic Lenses: Exploring Log RGB Data for Image Classification CVPR, 17470-17479. https://doi.org/10.1109/CVPR52733.2024.01654

  • Writing in CS: Why and How?

    Citation: Mia Minnes, Bruce A. Maxwell, Stephanie R. Taylor, Phillip Barry. (2018). Writing in CS: Why and How? SIGCSE, 402-403. https://doi.org/10.1145/3159450.3159620

  • Best Practices in Academia to Remedy Gender Bias in Tech

    Citation: Ursula Wolz, Lina Battestilli, Bruce A. Maxwell, Susan H. Rodger, Michelle Trim. (2018). Best Practices in Academia to Remedy Gender Bias in Tech SIGCSE, 672-673. https://doi.org/10.1145/3159450.3159618