Statistic Signal Processing,
Digital Signal Processing,
Detection and Estimation Theory,
Kernel Adaptive Filtering
Kernel Methods,
Neural Networks,
Deep Learning (Convolutional Neural Networks),
Reinforcement Learning and Multi-Agent Reinforcement Learning
Approximate Dynamic Programming,
Distributed/Decentralized Optimal Control,
Multi-scale Dynamic Systems,
Very-Large-Scale Robotics and Swarm Robotics
Optimal Control based on Finite Set Statistics (FISST)
Kernel Nonlinear System Identification,
Kernel Conditional Embedding Operators
Kernel Koopman Operators
Adaptive Distributed Optimal Control for Very-Large-Scale Robotic Systems,
Hierarchical Exploration for Large-Scale Mobile Sensing Networks
Multimodal Sensing and Fusion,
Generalizable robust multimodal perception
Multiple Target Detection and Tracking:
Dirichlet Process Gaussian Process (DPGP) Mixture Models
Finite Set Statistics (FISST) and Random Finite Sets (RFS)
Infrastructure Inspection
Environmental Monitoring
Human-Swarm Interaction,
Generative-AI-based HSI
VR-based HRI & HSI