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:  Elham Jamalinia is currently pursuing her PhD degree at the electrical and computer engineering department at Lehigh University. She specializes in data-driven dynamic state estimation and model identification of nonlinear power systems. She is experienced in developing innovative solutions for dynamic state estimation and control of nonlinear power systems, including Kalman filtering techniques, particle filtering method. 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:  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:  Xiaoyu Ge is a second-year Ph.D. student in Electrical Engineering at Lehigh University, where he is developing advanced solutions for the optimization and control of microgrids. 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. 

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. 

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. 

Seth is a MSc student in electrical engineering at Lehigh who has a bachelor's degree in electrical engineering from Penn State. His work focuses on machine learning-based diagnosis for electric motors. 

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. 

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 will focus on Resilience Assessments in Substations using various machine learning techniques. 

Refia Temizkan is an undergraduate student majoring in Electrical Engineering at Lehigh University and will be entering her sophomore year. She is currently working 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. 

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 will now be a part of research involving Digital Twin Designs of local water and electric grids.

Zujeidi is an undergraduate student at Lehigh University in the Integrated Business and Engineering (IBE) Honors Program. She is pursuing a dual degree in IBE Marketing and a B.S. in Electrical Engineering. Her interest lies in bridging the gap between engineering and business, with a focus on energy systems and applications of emerging technology. 

During the summer of 2025, her research focuses on quantifying energy consumption in AI data centers, specifically on cooling system inefficiencies driven by environmental, architectural, and operational factors. Her project aims to visualize and better understand where energy losses occur. Through this work, Zujeidi examines trends in AI workloads, cooling technologies such as liquid and immersion cooling, and the broader grid impact of increasing energy demand. Her goal is to identify how emerging systems can be scaled more efficiently and sustainably. 

Ty'Lin Mitchell is a rising second-year student at Lehigh University pursuing a Bachelor of Science in Electrical Engineering, with a growing focus on energy efficiency and sustainable computing. This summer, Ty'Lin is engaged in research on the Quantification of Energy Consumption in AI Data Centers. The project involves analyzing power usage trends, identifying inefficiencies, and exploring optimization strategies for large-scale machine learning infrastructure. Her work aims to uncover key areas for improvement to help reduce the environmental impact of high-performance computing systems. 

Saimonth Munoz is a rising 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. He is currently conducting research on developing a state-space model that captures chip power dynamics and incorporates direct-to-chip (D2C) cooling techniques. In addition, he is exploring 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.