Stochastic Control

Modeling for control, System Identification, and State Estimation. Stochastic Systems and the Interface between Control and Communications 

Simulation, prediction and control of dynamic systems, theory of modeling using system identification techniques, and the interaction between modeling and control

Information science of complex networks and systems: applications to control, computation, communication, and sensing

Wireless systems: stochastic and optimal resource allocation, network design and control, multi-access control, and topology design 

Multifidelity and data-driven modeling, optimization, and control, uncertainty quantification, reliability-based design, and design under uncertainty in fluid flows

Nonlinear Control, Adaptive Systems, Delay Systems, Extremum Seeking 

Distributed motion coordination, distributed estimation, optimal control for robotic locomotion, motion planning for underactuated systems

Nonlinear Control, Relations between Stochastic and Deterministic Control, Max-Plus and Idempotent Analysis, Fundamental Solutions for Action Functional Formulations, Numerical Methods.

Hybrid control, nonlinear control, optimization, adaptive systems, learning-based control

Probability theory, stochastic processes and their applications

Theory and Applications of Optimization, Sampling, Online Learning, Game Theory, Trustworthy Machine Learning

Learning, Optimization, and Control of Network Systems, and their Applications to Autonomous Vehicles and Traffic Systems