Dennis Melamed

R&D Engineer

Computer Vision

Kitware Minneapolis
Minneapolis, MN

M.S. in Robotics
Carnegie Mellon University

B.S. in Computer Engineering
University of Minnesota

Dennis Melamed

Dennis Melamed is an R&D engineer working remotely on Kitware’s Computer Vision Team. His responsibilities include developing code for Kitware’s cyber-physical systems (CPS), which are trained using AI and deep learning to interact with the natural world. As such, he will also be focusing on the sensing capabilities for these CPS so they can adapt to ever-changing environments.

While earning his master’s degree, Dennis worked with Professor Kris Kitani on indoor pedestrian localization algorithms that used maps and low-cost IMU sensors. The focus of his thesis was finding better ways to fuse deep inertial odometry methods with commonly available map information to improve navigation in indoor environments.

Dennis received his master’s degree in robotics from Carnegie Mellon University in 2021. In 2019, he received his bachelor’s degree in computer engineering from the University of Minnesota.

Publications

  1. D. Davila, D. Melamed, D. Depauw, and J. Anderson, "Multi-ATR Fusion and Ontological Deconfliction for Geospatial 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. S. Sun, D. Melamed, and K. Kitani, "IDOL: Inertial Deep Orientation-Estimation and Localization," Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 7, pp. 6128–6137, May 2021. [URL]

Bibliography generated 2023-12-04-16:40:26 (6744)