AREAS OF EXPERTISE

Robotics, Machine Learning, Control Theory, Optimization, and Computer Vision

Optimization, Estimation, Forecasting, and Control of Fluid Dynamics. Low-cost Robotic Vehicles

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

Systems and control, sensor networks, game theory, adversarial networks, cooperative robotics, and geometric mechanics

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

Controls and differential equations

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

Practical algorithms for NP-hard search and optimization problems in the decision, control, and design aspects of computational systems

Robotics, robotic and biological systems, biomechanics, locomotion, manufacturing

Operator theory, Hilbert space Operators, Control Theory, Algebraic Geometry, and Noncommutative Computer Algebra 

New techniques for safety and efficiency in autonomous systems

Renewable energy, optimization, climate change, control theory, machine learning

Multidisciplinary design optimization, aircraft design, satellite design, aerodynamic shape optimization, structural optimization, trajectory optimization

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 

Computational Geometric Mechanics,  Computational Geometric Control Theory, Numerical Analysis

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.

Design and control of flexible continuum robots for increased dexterity and accessibility in uncertain environments, particularly for minimally invasive surgical interventions.

Network economics, game theory, ethics and economics of AI, optimization, reinforcement learning, economics of cyber security.

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

Energy systems, cyber-physical systems, machine learning for energy management

Bioinspired and soft robotic systems, printable and origami-inspired robotics, self-assembly and self-folding, microfabrication, microassembly, microfluidics, simulation and assembly planning.

Network control systems, stochastic control, optimization, distributed computation, distributed optimization, game theory, multi-agent systems, dynamics of biological networks, population games, learning theory

Probability theory, stochastic processes and their applications

Reinforcement Learning for Robots; Computationally Efficient Robot Planning; Robot Manipulation in Dynamic Environments; Autonomous Robotic Surgery; Mechanical Design of Surgical Robots; Continuum and Snake-like Robots; Artificial Muscles

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