Advanced optimization, control, and machine learning for reliability and economically integrating large-scale distributed energy resources (DERs) into power system planning, operations, stability, and electricity markets.

With a strong background in complex adaptive systems, mathematics, and computer science, Garland’s research integrates computational and social sciences to understand and counter information warfare worldwide.

Adam studies the policy processes associated with public infrastructure investment, particularly the relationship between the design of the institutions responsible for water infrastructure and system sustainability.

Computer Science Ph.D. Candidate, AI/ML Researcher & Data Scientist, M.Sc. in Computer Science, B.Sc. in Mechanical Engineering

Leixin Ma's career goal is a data-driven and physically consistent approach to modeling and designing programmable smart structures and robots, especially under complex fluid flow conditions.