Fariba Amini received her B.Sc. from Azarbaijan Shahid Madani University (2013), her M.Sc. from Sahand University of Technology (2016), and her Ph.D. from the University of Tabriz (2024), all in Electrical Engineering – Power, in Tabriz, Iran. She is currently a postdoctoral fellow at the University of Alberta, AB, Canada. She specializes in power system studies with a focus on resilience, distributed energy resource integration, and climate-related impacts. She is currently working on real-time evacuation modeling using mobile energy storage systems for EV support during wildfires, and on the integration of distributed energy resources and battery storage to improve energy management in unbalanced distribution networks.
Syed Muhammad Ahsan Razvi received the B.S. degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan, in 2014, and the M.S. and Ph.D. degrees in Electrical Engineering from Lahore University of Management Sciences (LUMS), Lahore, in 2017 and 2022, respectively. His research interests include power system optimization, electricity markets, renewable energy integration, microgrid operations, and smart grid technologies. He is currently a member of IEEE. His publication record can be accessed via Google Scholar profile.
Ayesha Khan received her B.Sc. degree in Electrical Engineering with a specialization in Power Systems from the University of Engineering and Technology (UET), Lahore, Pakistan, in 2017. She completed her M.Sc. in Power and Control Systems from COMSATS University Islamabad, Lahore Campus, in 2020. She is currently pursuing her Ph.D. in Electrical Engineering at the Lahore University of Management Sciences (LUMS), with completion expected in Summers 2025. As part of her doctoral research, she participated in a research exchange at the University of Alberta, Edmonton, Canada, as a visiting Ph.D. scholar. Initially set for one year, the exchange has since been extended and is continuing through ongoing collaborative research in electric vehicle battery technologies. During her time there, she actively contributed to projects on battery health modeling and intelligent charging strategies. Her current research delves into electrochemical degradation mechanisms, state-of-health optimization, and real-time management of lithium-ion batteries, aiming to enhance performance and longevity in electric vehicle applications. Her broader research interests span the domains of advanced battery energy storage systems (BESS), diagnostics and prognostics of lithium-ion batteries, condition-based monitoring, microgrid integration, and sustainable power systems. She is particularly interested in applying machine learning and data-driven methods to improve the reliability, safety, efficiency, and longevity of energy storage solutions in modern power networks.
Fathima Razeeya, currently a Ph.D. student in Energy Systems at the Department of Electrical and Computer Engineering, University of Alberta, and has been a member of the ENTAIL research group since May 2024. She obtained a strong academic foundation from University of Ruhuna, Sri Lanka, where she earned a B.Sc. Eng. (Hons) in Electrical and Information Engineering degree in 2019. Prior to starting doctoral studies, she worked as a Lecturer (Probationary) in the Department of Electrical and Telecommunication Engineering at South Eastern University of Sri Lanka. Her research focuses on the areas of smart grids, renewable energy systems, distributed generation, fault analytics, and the application of machine learning in power systems. Through her work, she aims to develop data-driven solutions that enhance the reliability, efficiency, and intelligence of modern energy infrastructures.
My name is Hanieh Taraghi Nazloo, and I am a PhD student in energy systems. I completed my Master’s degree in Iran, where I developed a strong foundation in sustainable energy technologies. My current research focuses on reinforcement learning and electric vehicle (EV) grid integration, aiming to improve intelligent energy management in urban environments.
ADRIAN BARRADAS received the B.S. degree in mechatronics engineering from Instituto Tecnologico y de Estudios Superiores de Monterrey, Puebla, Mexico in 2016. and the M.S. degree in data science and business intelligence from UPAEP-University, Puebla, Mexico in 2022. He is currently pursuing a M.S degree in electrical and computer engineering at the University of Alberta, Canada. Since 2024, he has been a Research Assistant with the University of Alberta, working on electric vehicles and distribution systems. From 2018 to 2023, he gained industry experience in electrical system design and development. He is the author of three articles and holds two patents. His research interests include energy systems, machine learning, electric vehicles, transportation systems, and real-time data processing.
I am a Master's student in the Faculty of Electrical and Computer Engineering at the University of Alberta. My research focuses on improving grid resiliency through advanced control strategies and data-driven modeling, with particular emphasis on the impacts of climate change. I am currently working on the development and application of machine learning algorithms to enhance the stability, reliability, and fault tolerance of power systems under adverse environmental conditions.
Eugenio Abdiel Navarro Zeballos received his bachelor’s degree in Electromechanical Engineering from the Technological University of Panama (UTP) in 2022. Following graduation, he worked as an engineer at ENSA, a utility company in Panama. In 2025, he began his M.Sc. studies in Electrical and Computer Engineering at the University of Alberta, Canada. His current research focuses on the resilience of power systems during wildfires. His broader research interests include power systems and machine learning.