Oluwabunmi is currently pursuing a Ph.D. at the Concise Lab at Lehigh University. He obtained his bachelor's degree in Civil Engineering from the Federal University of Technology Akure in 2019. His research uses statistical analysis, numerical modeling, optimization, and machine learning algorithms to enhance the design and operation of interconnected urban infrastructures. His current research involves the optimal resilience-based modeling of water distribution networks in informing the design and operational decisions supporting water distribution networks. He is also a Research Assistant at Lehigh University’s Energy Research Center, where his research applies machine learning techniques for the analysis and characterization of MSW streams. Outside of research, he enjoys playing chess, scribbling, and occasionally playing football. 

Saskia Putri is a Ph.D. student in Civil Engineering at Lehigh University, focusing on water resources engineering under the Concise lab. Her educational background includes a B.Eng in Environmental Engineering from Universitas Indonesia and an M.Eng from Pennsylvania State University, with a scholarship from the U.S. Agency for International Development. During her first doctoral year, her work on the predictive control of interlinked water-energy microgrids was published in the Journal of Applied Energy and presented at the IEEE Power & Energy Society General Meeting. Her research interests revolve around model predictive control, co-optimization, and system identification for power and water distribution systems. Currently, Putri is continuing her research on a U.S Department of Defense project involving deep learning-based predictive control for next-generation naval power and energy systems.  Besides her research, she enjoys discovering new cuisines and locations, watching movies, and engaging in physical fitness activities. 

Nazia is pursuing her Ph.D. at the CONCISE Lab of Lehigh University. In 2019, she graduated with a bachelor's degree in Civil Engineering from NED University of Engineering and Technology, Pakistan, receiving gold medals in recognition of her achievement as the top student of her department. Her research work mainly focuses on the cybersecurity aspects of smart water distribution systems. Her research leverages numerical optimization to analyze the cyber vulnerabilities of the water systems against the targeted stealthy false data injection attacks under the system's uncertainties. This cutting-edge research has been recognized in the prestigious International Journal of Critical Infrastructure Protection. Now, she is venturing into the realm of deep learning, developing sophisticated models to detect these cyberattacks more effectively. Besides protecting the smart water systems against cyberattacks, she finds joy and balance in singing, reading, and writing poetry.

Daniela is a Ph.D. student at the CONCICE Lab at Lehigh University starting in fall 2024. In 2014, she obtained her bachelor’s degree in civil engineering at Universidad de las Fuerzas Armadas, Ecuador. She earned a scholarship from the Ecuadorian government, which allowed her to acquire a Master of Science degree in civil engineering at University of Florida, in 2018. She has worked as a professor in three universities in Ecuador, teaching classes such as fluid mechanics, groundwater geology, drinking water systems, water treatment plants, plumbing installations in smart buildings. Also, she has developed different consultancies proposing strategies to water supply, sewage, and storm water systems in Ecuadorian regions with challenging problems (e.g. the case of Santa Cruz Island - Galápagos). Currently, her research interests are related to computational models to control water system, machine learning, and optimization. Apart of her academic life, she enjoys reading, walking in nature, and listening or playing music.

Maddie is an undergraduate student pursuing a Bachelor of Science in Environmental Engineering at Lehigh University. She joined the CONCISE Lab in the summer of 2025 to work on research in the field of direct-to-chip liquid cooling in data centers. Her passion lies in developments in sustainable and resilient infrastructure, in addition to optimizations of energy systems and resource usage. Her research over the summer aims to evaluate new and existing solutions for efficient thermal management in data centers through chip-level cooling techniques. 

Hannah Null is an undergraduate at the Civil Engineering and Environmental Engineering Department of Lehigh in the class of '28. She is from San Jose, California. She is passionate about sustainability within the built environment and environmental justice. Her current focus is on direct-to-chip cooling in data centers. 

Allen is currently pursuing his Masters of Science at Lehigh University. He obtained his bachelor's degree in Building Environment and Energy Applications Engineering from Changsha University of Science and Technology, in 2019. Allen had the opportunity to work with the water industry to implement his research findings. He employed Nonlinear economic model predictive control (NEMPC) to Galeton's water system to minimize the pumping electricity consumption while meeting the water demand. Outside his studies, he enjoys playing computer games, listening music, and watching movies.