Group

Xiaoyang Wang  (08/2024 – present)

Xiaoyang is a PhD student in the ECE department at Texas A&M University. His research focuses on dynamics modeling of large electronic loads, learning-based control and data-driven coordination of large-scale inverter-based resources in power systems. Prior to joining TAMU, he obtained both his bachelor’s and master’s degrees in Electrical Engineering from Xi’an Jiaotong University.

Yihan Wen  (08/2025 – present)

Yihan is a first-year PhD student in the ECE department at Texas A&M University. His research focuses on developing large langugae model (LLM)-based AI agents for intelligent automated power system planning and operation. Prior to joining TAMU, he obtained his bachelor’s degrees in Digital Media Technology from Dalian University of Technology.

Haowen Xu  (08/2025 – present)

Haowen is a first-year PhD student in the ECE department at Texas A&M University. His research focuses on developing novel optimization and control methods for high renewable energy penetration power system. Prior to joining TAMU, he obtained his bachelor’s and master’s degrees in Electrical engineering from Zhejiang University.

Pedro Salazar-Garcia (08/2025 – present)

Pedro is a PhD student in the ECE department at Texas A&M University. His research focuses on optimization of Distributed Energy Resources (DERs) hosting capacity and service restoration strategies under uncertainty.  Prior to joining TAMU, he obtained his bachelor’s degree in Industrial Engineering from Iowa State University and associate’s in Science from Des Moines Area Community College. 

Joseph is a second-year MS (Thesis) student in the ECE department at Texas A&M University. He has nine years of experience in Texas’ power grid across operations, trading, planning, and strategy, with a total of 14 years of industry experience. He holds dual Bachelor’s degrees in Mathematics and Finance from University of Houston, and a CFA designation. His research involves using the high-resolution weather data modeling to improve forecasting nodal renewable energy generation using Machine Learning and Deep Learning.

Dev Shah (09/2024 – present)

Dev is a first-year M.S. student in the ECE department at Texas A&M University, with a focus on the intersection between power systems and power electronics. His research involves developing analytical methods for a power system network connected to multiple inverter-based resources. Prior to joining TAMU, he has received his B.S. Electrical and Computer Engineering degree at Santa Clara University, California, USA.

Matt Lee (06/2025 – present)

Matt is a first-year MS student in the Texas A&M Energy Institute, with a focus on energy and power systems, particularly new data center loads. He has over a decade of industry experience spanning test and measurement, and software engineering and design including a couple of energy industry startups. His research lies in the planning, optimization, and economic analyis of large AI and computing loads in power systems. He earned his Bachelor’s in Electrical Engineering also from Texas A&M University.

Ana Colacelli (01/2025 – present)

Ana is a third-year BS student in the EVEN department at Texas A&M University, with a minor in ECEN. Her research focuses on the electric energy sector, exploring the integration of Large Language Models in preventive maintenance of electrical distribution systems, as well as the energy consumption of AI data centers. Her overarching goal is to improve the efficiency of sustainable energy technologies to drive a positive impact in the environment.