Research projects spanning task-informed split computing, disaster-resilience digital twins, wildfire intelligence, geospatial machine learning, and virtual-reality labs.
Task-informed split-computing system that compresses UAV visual streams into compact latents for edge perception.
Community-scale digital twin platform for disaster resilience, edge sensing, simulation, and resource-aware inference.
Machine learning, compression, and edge-computing systems for wildfire detection, prediction, and resource-aware monitoring.
Machine-learning system for converting noisy public GPS traces into trail-network maps.
Computer-vision tracking systems and virtual/mixed-reality laboratories for scalable science education.