Skip to main content Skip to secondary navigation
Campus-Quad1
Main content start

Introduction
The Systems Optimization Laboratory conducts basic and applied research on large-scale mathematical programming, including algorithmic development, model formulation, and software production.

Research Areas and Applications

Constrained Optimization

Constrained Optimization (Linear and Nonlinear Programming)

Details
Stochastic Linear Programming

Stochastic Linear Programming (Planning Under Uncertainty)

Details

Systems Using SOL Optimization Software

Details

Personnel

Avatar

Ding Ma

Ding Ma received her Ph.D. in Management Science and Engineering from Stanford University, focusing on creating numerical algorithms to analyze large-scale optimization models and datasets.

Profile Link
Avatar

Tongda Zhang

Tongda Zhang received his Ph.D. degree in Electrical Engineering of Stanford in 2016 with a focus of data mining, machine learning based human behavior understanding.

Profile Link
Avatar
University of California, San Diego

Philip Gill

Profile Link
Collaborators of Systems Optimization Laboratory

US Department of Energy grant DE-SC0002009 and National Institute of General Medical Sciences grant U01GM102098

UC San Diego

UC San Diego

Systems Biology Research Group, Bernhard Palsson (PI)

University of Iceland

University of Iceland

Multiscale Systems Biology Laboratory, Ines Thiele (PI)

University of Luxembourg

University of Luxembourg

Thiele Laboratory, Ines Thiele (PI)

Multiscale Systems Biology Collaboration