Maral Shadaei is a Ph.D. student in Electrical Engineering. Her research focuses on data-driven modeling, advanced control techniques, and the quantification of resilience in modern power systems, including microgrids, distributed energy resources, and naval shipboard power systems. Maral's work aims to address the challenges of integrating renewable energy sources while enhancing the stability and resilience of the grid. Her research interests encompass system dynamics and the development of novel methodologies to ensure robust, sustainable energy systems capable of withstanding evolving grid demands, disruptions, and the unique challenges of maritime environments.

Bio:  Experienced and innovative electrical engineer currently pursuing a PhD in power systems with a focus on nonlinear system identification, data-driven modeling, and power inverter control design. Possesses a strong background in hardware development and real-time simulation. Passionate about leveraging cutting-edge research to drive advancements in power systems technology.

Bio: Lydia Asare Bediako is a PhD student in the Electrical and Computer Engineering Department at Lehigh University, specializing in power systems. She earned her bachelor’s degree in electrical engineering from Kwame Nkrumah University of Science and Technology (KNUST), Ghana, in 2022. Her current research focuses on Control for Enhanced Microgrid Operation and Resilience.

Bio: Natalie Xu is a PhD student in Electrical Engineering at Lehigh University, and she joined the INTEGRITY Lab in Summer 2025. She earned her BS degree in Electrical Engineering at the University of Illinois, Urbana-Champaign, and her MS degree in Electrical Engineering at Lehigh University. Her research interests include resilient control, data-driven control design, and dynamic modeling of autonomous systems. 

Bio: Tai is a PhD student in Electrical Engineering at Lehigh University, and will join the INTEGRITY Lab in Summer 2026. He received a B.S. in control and automation engineering from Danang University of Science and Technology (DUT) in Vietnam, and a Master of Engineering in Computer Science and Information Engineering from Korea National University of Transportation (KNUT). His research is focused on data-driven control in smart grids. 

Bio: Stan Serbanica, P.E. is an incoming Ph.D. student in Electrical

Engineering. He received his B.S. in Electrical Engineering from New

York University in 2021 and brings over five years of industry

experience as a Protection and Controls substation engineer supporting

major utility infrastructure in the Mid-Atlantic region. A U.S. Navy

Submarine Nuclear Electrician's Mate veteran, his operational

background in naval electrical and nuclear systems directly inform his

research interests in data-centric control, power systems stability,

and the integration of distributed energy resources in modern

electrical grids, with a particular interest in naval microgrids and shipboard power system control. 

Mehdi Akbari is an incoming master’s student with a focus on grid resiliency. His research interests lie in developing innovative strategies to enhance the stability and robustness of modern power systems. Mehdi aims to contribute to addressing the challenges associated with improving the overall resilience of the grid. 

Elham Jamalinia received her PhD degree at the electrical and computer engineering department at Lehigh University in 2025. She is currently a postdoctoral research associate at University of Texas at Arlington. She specializes in data-driven dynamic state estimation and model identification of nonlinear power systems. Prior to joining Lehigh, she was working on a quantum control project at Princeton University, where she studied controllability analysis of complex systems using Lie algebra.

Bio:  Xiaoyu Ge received a Ph.D. in Electrical Engineering at Lehigh University in 2026, and is currently a postdoctoral research associate at Stony Brook University. His research integrates cutting-edge machine learning techniques, including convolutional neural networks (CNNs) and temporal convolutional neural networks (TCNs), to enhance system dynamic learning and improve the resilience and efficiency of microgrid operations. Xiaoyu's work bridges the gap between machine learning models and real-world applications in power system, with a focus on creating adaptive and scalable solutions for microgrids.  In recognition of his academic excellence, Xiaoyu was awarded the prestigious 2022 P.C. Rossin College of Engineering Doctoral Fellowship during his first year at Lehigh University. 

Saimonth Munoz is a senior at Lehigh University with a passion for exploration and a willingness to take on new challenges, even when the path isn’t fully clear. In Summer 2025, he conducted research on developing a state-space model that captures chip power dynamics and incorporates direct-to-chip (D2C) cooling techniques. In addition, he explored the use of machine learning to improve thermal performance in these systems. Driven by curiosity and a love of learning, Saimonth thrives in dynamic research environments and enjoys meeting new people and hearing about their interests. 

Somak is a rising senior at Penn State University, who is studying in the fields of Electrical and Computer engineering. Somak first started in Integrity Laboratory in 2024, where he worked on Controller-Hardware in the loop testing of inverters as part of research focused on data-driven modeling and optimization of Microgrids. In Summer of 2025, Somak was a part of research involving Digital Twin Designs of local water and electric grids.

Refia Temizkan is an undergraduate student majoring in Electrical Engineering at Lehigh University and will be entering her sophomore year. In Summer 2025, she worked on Optimal Sizing of Generation for Data Centers, focusing on improving energy efficiency and reliability in high-demand computing environments. Her research aims to evaluate and determine the most effective configurations of power generation systems to support the operational demands of data centers while minimizing energy waste and ensuring system resilience. 

Jeremiah Akalu is a student at the University of Maryland Baltimore County pursuing his Bachelor's Degree in Computer Science while holding an Associate's Degree in Cybersecurity. Driven by a passion for effective, real-world machine learning applications, his research over Summer 2025 focused on Resilience Assessments in Substations using various machine learning techniques. 

Varsha Borkar is an undergraduate student pursuing a Bachelor of Science in Electrical Engineering at Lehigh University. She has been part of the INTEGRITY lab since summer 2024. Her research focuses on data-driven modeling and the integration of hybrid energy storage systems to enhance performance and efficiency in sustainable power applications. Varsha has contributed to projects involving MATLAB-based simulation of battery-supercapacitor systems and the design of bio-inspired tidal stream turbines. Her interests lie in the intersection of renewable energy and embedded systems. Through her academic and research experiences, Varsha aims to develop innovative solutions for future energy systems that are both resilient and environmentally responsible.