Themes
Research
Academic and applied research on optimization and artificial intelligence — spanning energy infrastructures and models of vision.
Applied optimization
Energy Systems
Energy trading and markets, power distribution and management, resource allocation, and distributed optimization in microgrids.
We develop optimization frameworks for modern energy infrastructures — from market clearing and dispatch to resilient microgrid coordination — combining distributed algorithms with realistic operational constraints.
Models of vision
Computational Neuroscience
Optimal models of the human visual pathway to better understand the brain and visual cortex.
Our neuroscience track builds computationally grounded models of visual processing, linking optimization theory with empirical structure of sensory pathways.
Methods
Core optimization toolkit
- Convex & nonconvex optimization
- Distributed optimization
- Robust optimization
- Stochastic programming
- Nonlinear programming
- AI-driven decision systems
From the lab
Project gallery
