Meet the Team
Adam Romlein
Senior R&D Engineer
Kitware New York
Clifton Park, NY
B.S. in Computer Engineering
Clarkson University
Adam Romlein is a Senior Research and Development Engineer on Kitware’s Computer Vision Team. He joined Kitware as an intern in 2018 and full-time in 2020, and has spent more than 30 weeks in the field deploying and operating Kitware systems. His work covers systems engineering, edge deployment of deep learning models, and ROS-based software for multi-sensor platforms.
Adam leads the NOAA KAMERA project, a 9-camera EO/IR/UV aerial imaging system that performs real-time detection and geolocation onboard survey aircraft. Originally developed for surveys of ice-associated seals and polar bears in Alaska, it now supports marine mammal surveys across NOAA science centers. Two KAMERA systems flew on NOAA’s Twin Otter and King Air during the 2025 Alaska ice seal survey, the most extensive of its kind and the first to cover the seals’ full U.S. range in a single season. Adam participated in flight operations for the survey, which logged 58 flights and collected more than 1.5 million image sets (over 26 TB). He is first author of the system’s ICCV Workshops 2025 paper and presented KAMERA at the 2024 STRATUS UAV Conference.
He is also technical lead on two U.S. Army DEVCOM C5ISR Center Countermine Phase II SBIRs, developing tracking, re-identification, vision-language zero-shot detection, and relocalization and mapping on NVIDIA Jetson Orin for UAS-based detection of landmines and explosive hazards.
From 2020 to 2023, Adam was lead systems engineer on DARPA URSA, deploying deep learning tracking and activity recognition on Jetson Xavier across more than 24 mobile (UGV, UAV) and static (PTZ) cameras. The system reached TRL 6 through over 500 hours of testing in the field. Earlier work included DARPA SQUAD-X.
Adam graduated from Clarkson University in 2019 with Great Distinction, earning a B.S. in Computer Engineering with a minor in Mathematics.
Publications
- J. Adams, A. Romlein, E. Smith, M. Leotta, and S. Agarwal, "Real-time UAV Relocalization to 3D Maps for Landmine Detection," in MSS Parallel Conference of the Military Sensing Symposia (MSS) Special Committees on Battlefield Survivability and Discrimination, Detectors, Materials, and Passive Sensors, 2026. [URL]
- A. Romlein, B. Hou, Y. Boss, C. Christman, S. Koslovsky, E. Moreland, J. Parham, and A. Hoogs, "KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments," 2025. [URL]
- A. Romlein, A. Lynch, B. Clipp, D. Davila, A. Barricelli, C. Yang, N. Jerles, B. Burns, M. Aeillo, and M. Brown, "Long-Term Tracking and Re-Identification for Threat Quantification in Unmanned Aircraft System Video," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2024.
- D. Davila, J. VanPelt, A. Lynch, A. Romlein, P. Webley, and M. Brown, "ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI," in Workshop on Practical Deep Learning in the Wild, 2022. [URL]
- M. Brown, K. Fieldhouse, A. Romlein, D. Davila, E. Borovikov, A. Lynch, and A. Hoogs, "Person Tracking, Re-identification, and Threat Detection by Autonomous Unmanned Systems within Complex Urban Environments," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2021.
- M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance," in IEEE Winter Conference on Applications of Computer Vision, 2019. [URL]
- 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.
