
PAL Lab
About the Lab
The Phasor Assisted Learning (PAL) Lab, led by Dr. Anamitra Pal, is in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU) located in Tempe, Arizona. The lab performs fundamental and applied research in the power and energy domain.
Active research areas include:
- Data Analytics using Time-Synchronized Measurements
- Artificial Intelligence (AI) Applications in Power Systems
- Energy Modeling and Smart Grids
- Critical Infrastructure Resilience

Openings
We are looking for motivated Ph.D. students in the areas of power systems, optimization, controls, and machine learning.
ASU is the lead university of the Power Systems Engineering Research Center (PSERC), which includes 12 universities and 26 industry members. U.S. News & World Report has named ASU the most innovative university in the nation for six years in a row. If you are interested in joining ASU and working with me, please send your detailed CV to me at [email protected] or view our “Contact” page on our website.

Latest News
- 09/01/2025: Yeliz Yoldas Seven joined the PAL lab, Welcome Yeliz!
- 07/23/2025: Michael Leef joined the PAL lab, Welcome Michael!
- 07/18/2025: Shiva was awarded the University Graduate Fellowship (UGF) for the Fall 2025 Semester
- 07/10/2025: Satya’s paper titled “A Preventive-Corrective Scheme for Ensuring Power System Security During Active Wildfire Risks” has been accepted for publication in IEEE Open Access Journal of Power and Energy
- 06/30/2025: Yadu’s paper titled “Transfer Learning on Synchrophasor Data for Automatically Detecting and Classifying Critical Power System Events” has been accepted for publication in IEEE Transactions on Industry Applications
- 05/30/2025: Shiva’s paper titled “Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems” has been accepted for publication in IEEE Transactions on Power Systems
- 05/23/2025: Anushka’s paper titled “A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data” has been selected for the best paper session at 2025 IEEE PES General Meeting
- 05/21/2025: Marco Iorio awarded the 2025-2026 Pamela and Jack Saltich Fellowship
- 05/19/2025: Summer 2025 Internships
Mohammad (Nick) completed his internship at PJM Interconnection
Satya completed his internship at GE Vernova
Shiva completed her internship at EPG - 05/05/2025: Marco Iorio received the 2025 IEEE Phoenix Section Scholarship
- 03/13/2025: Book Chapter titled “Application of AI and Machine Learning Algorithms in Power System State Estimation” written by Behrouz Azimian, Reetam Sen Biswas, and Anamitra Pal published by IEEE/Wiley Press in the Book Titled “Smart Cyber‐Physical Power Systems: Solutions from Emerging Technologies, Volume 2“
- 03/04/2025: Anushka’s paper titled “A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data” has been accepted for publication at PESGM 2025.
- 02/28/2025: Anamitra Pal delivered a Keynote Talk titled “Big Data Analytics for the Electric Power Grid of the 21st Century” at the 1st IEEE International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE) organized by the Indian Institute of Technology (Indian School of Mines), Dhanbad, India.
- 02/06/2025: The Patent Office agreed to grant a new U.S. patent directed to John Patterson and Anamitra Pal’s work on “Time-Synchronized Micro-CPOW Measurement Device”. The patent will carry an official U.S. patent number of 12,235,292 and officially will grant on 02/25/2025. The new patent can be viewed by entering the patent number on or after the grant date in Google Patents.
- 01/06/2025: Antos Varghese joined the Pacific Northwest National Laboratory (PNNL) as a Research Engineer. Congratulations Antos!


