Presented two papers at IEEE CASE 2025
Presented work on early intent classification and proactive maritime threat prediction at the IEEE Conference on Automation Science and Engineering.
Aug 25, 2025
Feature-aware deep learning paper forthcoming at IEEE FMLDS 2025
Paper on feature-aware maritime intent recognition accepted for the IEEE International Conference on Future Machine Learning and Data Science.
Jan 15, 2025
Feature-aware Deep Learning for Maritime Intent Recognition
Forthcoming FMLDS 2025 paper on feature-aware deep learning for maritime intent recognition.
Jan 1, 2025
NavySim: A Multi-Vessel Simulation and Analysis Engine for Naval Domains
We introduce a Unity-based naval simulator for maritime training that supports complex multi-vessel scenarios, real-time threat assessment, and intent recognition. The system models vessel capabilities, renders vulnerability and CPA-based action heatmaps, fuses them into a dynamic threat map, and uses HMMs to infer other agents’ intentions.
Aug 28, 2024
NavySim: Multi-Vessel Simulation Engine
Unity-based naval simulator with physics-consistent multi-agent scenarios, real-time threat heatmaps, and ML-driven intent recognition for maritime research.
Jun 1, 2022
Intent Recognition for Maritime Autonomy
Deep and probabilistic intent classifiers (HMMs, LSTMs, Transformers) for early vessel behavior prediction in adversarial maritime scenarios.
Jun 1, 2022