Ryan Greenough is a Ph.D. candidate and SMART Fellowship awardee from Davis, CA. He works in the Mechanical and Aerospace Engineering (MAE) Department at UCSD and is advised by Professor Jan Kleissl. He graduated from Santa Clara University (SCU) with a Master’s and Bachelor’s degree in Mechanical Engineering in 2016 and 2017, respectively. While at SCU, he was a varsity cross-country and track athlete. Currently, he is a member of the UC San Diego Triathlon Club. On campus, he is also the lead of the MAE Graduate Student Council, which focuses on building a community within the department through social & networking events.

After an internship at NASA Ames, revolving around developing adaptive control algorithms for a flexible-wing aircraft, he was inspired to delve into the applications of control theory in graduate school. During his time at UCSD, he has researched risk-averse decision-making strategies for the localization of autonomous vehicles and microgrid optimization. He has interned at NASA Ames, NIWC Pacific, and Lawrence Livermore National Laboratory (LLNL) and collaborated with a global leader in vehicle-to-grid technology (NUVVE).

Currently, Ryan’s research focuses on applications of decentralized/distributed optimal power flow (OPF) to extreme weather events. Previously, he developed electrical load forecasts of UCSD’s microgrid for CAISO energy market bidding of stationary battery storage, optimized unit commitment strategies in the presence of wildfires, and modeled utility-level generation capacity and transmission expansion planning. Over the summer, Ryan worked with NIWC Pacific in the Cryogenic Exploitation of Radio Frequency (CERF) lab as a part of the SMART Fellowship. He developed a simulation tool to validate the voltage to magnetic field sensitivities of superconducting quantum interference devices (SQUIDs) fabricated at the lab.

Ryan Greenough’s Curriculum Vitae