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.

Rosemary is a Ph.D. student in Civil Engineering at the CONCISE Lab of Lehigh University, on controller optimization for water distribution systems, with an emphasis on securing these controllers against cyberattacks. She holds an M.Sc. in Mathematics (2022–2024) and a B.Sc. with a major in Mathematics and minors in Statistics and Physics (2019–2022) from Mahatma Gandhi University, Kerala, India, and before joining Lehigh she worked as a Research Assistant at CMS College Kottayam on two separate projects: one on graph neural networks (GNNs) and another on hybrid deep learning models for predicting yields in cross-coupling reactions. The GNN project has been published in Physical Chemistry Chemical Physics (PCCP), while the hybrid-model project has been submitted to Artificial Intelligence Chemistry. She was honored with the several awards in her colllege for being a top student and presented her research at prestigious venues. In her free time, she enjoys reading, listening to music, walking in nature, and doing craft work. 

Somak holds a B.S. in Electrical Engineering from Pennsylvania State University and is currently pursuing a M.S. in Electrical Engineering from Lehigh. His previous research focused on AI-accelerated computer architecture design, power systems optimization, and data center resource management. At CONCISE, he will work on digital twin development of water distribution networks and AI-driven fault detection for leaks, cyberattacks, and system anomalies on the water grid. In his free time he enjoys playing and writing music, physical activities, and videogames. 

Oluwabunmi pursued his 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 used statistical analysis, numerical modeling, optimization, and machine learning algorithms to enhance the design and operation of interconnected urban infrastructures. His doctoral research focused on resilience-based modeling and optimization of water distribution networks to inform their design and operational decisions. He also worked as a Research Assistant at Lehigh University’s Energy Research Center, where he applied machine learning techniques to the analysis and characterization of municipal solid waste (MSW) streams. Outside of research, he enjoyed playing chess, scribbling, and occasionally playing football.

Saskia Putri was a Ph.D. student in Civil Engineering at Lehigh University, specializing in water resources engineering in the CONCISE Lab. Her educational background included a B.Eng. in Environmental Engineering from Universitas Indonesia and an M.Eng. from Pennsylvania State University, supported by a scholarship from the U.S. Agency for International Development. During her first year of doctoral study, her work on predictive control of interconnected water-energy microgrids was published in Applied Energy and presented at the IEEE Power & Energy Society General Meeting. Her research interests focused on model predictive control, co-optimization, and system identification for power and water distribution systems. During her Ph.D., Saskia also worked 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 enjoyed discovering new cuisines and places, watching movies, and engaging in physical fitness activities. 

Allen pursued Masters in Civil Engineering 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.