Professor · EECS · UC Irvine

Control, learning, and computation in networked systems.

Research on dynamical systems theory, machine learning, and computational neuroscience, from brain-inspired computing to multi-robot autonomy.

Department of Electrical Engineering & Computer Science
University of California, Irvine
Director, UCI Robotarium
01 / Research

The common thread: how networks compute, coordinate, and fail.

Learning & dynamical systems

Methods for modeling and controlling dynamical systems from data, using Koopman operators, diffusion-based planners, and learning-enabled controllers that come with stability guarantees.

Brain-inspired computing

Architectures for learning and computation built on dynamical systems theory, including oscillator networks, associative memory, and physical intelligence.

Robotics & autonomous systems

Multi-agent coordination, path planning, and learning-based control, tested on hardware in the UCI Robotarium.

Network neuroscience

Control theory, dynamical systems, and spectral methods applied to neural data: cortical oscillations, effective connectivity inferred from recordings, and how structure shapes brain dynamics.

Cyber-physical systems

Observability, resilience, and security of networked infrastructure such as power grids, transportation networks, industrial control, and autonomous vehicles.

New research direction

An attention mechanism with a unique attractor per query.

Attention realized as the relaxation of a coupled-oscillator network with pinned anchors. The architecture admits exactly one attracting equilibrium per query, so the answer is the same no matter where the dynamics start. That uniqueness is what makes oscillator attention trainable on a substrate that, by default, supports many equilibria.

Read the research page
UCI Robotarium

A facility for multi-robot experimentation, brain-inspired computing, and physical AI.

Open to researchers, students, and industry partners. A motion-tracked arena, 3D fabrication, and on-site compute, so an idea can go from theory to hardware in the same building.

Explore the facility
12
Vicon cameras
sub-mm tracking
60m²
Experimentation
arena
3+
3D printers
multi-material
GPU
On-site compute
cluster
03 / News

From the group