Nima T.Bazargani

Welcome to My Personal Homepage!

I am Nima T. Bazargani, an electrical engineer specializing in power systems with a passion for leveraging machine learning and data science to solve intricate real-world challenges. Currently, I serve as a Network Model Analyst at CWP Energy, where I conduct large-scale security-constrained unit commitment and economic dispatch simulations.

With over 10 years of research and industrial experience, I have deeply engaged in the following areas, which continue to fuel my enthusiasm and drive:

• Exploring electricity markets, with a focus on quantitative trading strategies for long-term financial transmission rights auctions, and financial hedging against the price risks of day-ahead congestion caused by transmission system constraints.
• Applying machine learning (ML) and data science to enhance power system monitoring, operation, stability, and reliability.
• Planning and operating power systems with a focus on resiliency. I am passionate about creating strategies that ensure reliable power delivery even in the face of abrupt disruptions and extreme events.
• Integrating battery energy storage systems with renewable energy sources. This area excites me as it combines cutting-edge technology with sustainable practices, contributing to a cleaner and more efficient energy future.

These topics not only reflect my experience but also represent the areas I am eager and committed to continue working on, as I explore new challenges and opportunities in the evolving landscape of power systems and energy technology.

Academic Journey

I joined Arizona State University (ASU) in Fall 2019 and have completed a Ph.D. in Electrical Engineering at the School of Electrical, Computer, and Energy Engineering, under the supervision of Professor Oliver Kosut and Professor Lalitha Sankar. My dissertation, supported by the National Science Foundation, focuses on real-time identification of power system events using high-dimensional spatio-temporal PMU data, reflecting my commitment to advancing the field of power systems through innovative research. Explore further details here.

During my Ph.D., I have actively contributed to various significant research projects supported by:

• The National Science Foundation under Grants OAC-1934766, CCF-2048223, and CCF-2029044.
• The Power System Engineering Research Center (PSERC) under Project S-87. Final report available online here.
• The U.S.-Israel Energy Center managed by the Israel-U.S. Binational Industrial Research and Development (BIRD) foundation. For further details, click here.

These projects have enhanced my expertise in integrating statistical theories, machine learning, and data science to solve complex power system challenges focusing on applications involving time series classification and forecasting.

Personal Interests

Beyond my professional work, I enjoy a variety of activities that keep me engaged and inspired:

• Reading, with a keen interest in psychology, neuroscience, and philosophy.
• Outdoor activities like 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.