Nima T.Bazargani

Welcome to My Personal Homepage

I'm Nima T. Bazargani, an electrical engineer specializing in power systems, with a focus on applying machine learning and data science to address complex, real-world challenges in this field. Currently, I work as a Power System Engineer at Electric Power Group (EPG), where my efforts center on leveraging high-dimensional spatio-temporal synchrophasor data to identify and analyze various types of power system events.

Previously, I served as a Network Model Analyst at CWP Energy, where I conducted large-scale security-constrained unit commitment (SCUC) and economic dispatch simulations for major electricity markets in the U.S., including MISO, SPP, PJM, and ERCOT. Additionally, I enhanced the PYTHON simulation pipeline and its interaction with Google Cloud databases to enable large-scale, long-term simulations.

Professional Expertise

With over 10 years of experience in both research and industry, I am deeply engaged in the following areas:

• Applying machine learning (ML) and data science to enhance power system monitoring, stability, and reliability.
• Planning and operating power systems with a focus on resiliency, ensuring reliable power delivery in the face of disruptions and extreme events.
• Exploring electricity markets, focusing on quantitative trading strategies, long-term financial transmission rights auctions, and financial hedging against price risks from transmission congestion.

These areas reflect both my experience and the subjects I’m eager to continue exploring as the power systems and energy sectors evolve.

Academic Journey

I completed my Ph.D. in Electrical Engineering at Arizona State University (ASU), specializing in the real-time identification of power system events using high-dimensional spatio-temporal PMU data, under the guidance of Professor Oliver Kosut and Professor Lalitha Sankar. My research was supported by the National Science Foundation. Learn more about my research here.

Research Projects

Throughout my Ph.D., I actively contributed to several significant research projects, including:

• National Science Foundation grants OAC-1934766, CCF-2048223, and CCF-2029044.
• Power System Engineering Research Center (PSERC) Project S-87. See the final report here.
• The U.S.-Israel Energy Center, managed by the Israel-U.S. Binational Industrial Research and Development (BIRD) Foundation. More details can be found here.

These projects honed my expertise in integrating statistical theories, machine learning, and data science to solve power system challenges, particularly those involving time series classification and forecasting.

Personal Interests

Outside of my professional work, I enjoy a variety of activities that keep me inspired:

• Reading, especially in areas like history, psychology, neuroscience, and philosophy.
• Outdoor activities such as hiking, camping, kayaking, and off-roading.
• Solving puzzles, including challenging metal brain teasers and wire puzzles.

Thank you for visiting my personal homepage. I look forward to connecting with you.