Dr. Savage received his Ph.D. from Utah State University in 2002. His research interests include application of computational fluid dynamics (RANS) to hydraulic structures, physical modeling of hydraulic structures, flood control structures, fish passage and habitat, dams and spillways, and wave energy.

Dr. Ebrahimpour received his Ph.D. in Civil Engineering (structures) from the University of Idaho in 1987. His research interests include experimental and analytical studies in structural vibrations, applications of advanced materials in structural engineering, and structural seismic risk assessment.

Dr. Leung received his Ph.D. in Civil & Environmental Engineering in 1989 from the University of Iowa. His research interests include physicochemical treatment processes, environmental systems modeling, environmental risk assessment, biotechnology, and nanotechnology.

Dr. Mahar has had 30 years of experience as a geotechnical consultant on projects such as tunnels; bridge foundations; building foundations and damage; highways; air fields; levees; open cut excavations; soil and rock slopes; shafts; dredging; rock and soil excavations; lock and dam structures; and dams.

Dr. Mashal received his Ph.D. in Civil Engineering from the University of Canterbury in New Zealand in 2015. His research interests include structural/earthquake engineering, concrete materials and structures, bridge engineering, low damage seismic technologies, large-scale testing, and topics related to energy and critical infrastructure.

Associate Director of CAES, Director of Disaster Response Complex

Dr. Sato received his Ph.D. in 1981 from the University of Iowa. His research interests include microbial fuel cells, water treatment (disinfection, photolysis, sonolysis), and water quality modeling.

Guest Editor for Microbial Fuel Cell 2020-Submission Information

Jared received his B.S. in Civil and Environmental Engineering in 2018 from Idaho State University. His research interests include large-scale testing, emergency response, bridge engineering, energy dissipation, precast concrete, prestressed concrete, Accelerated Bridge construction and hydraulic structures.

Dr. Mondal is an R&D Staff Scientist at Oak Ridge National Laboratory. His research interests include additive manufacturing, micro/nano fabrication of functional materials, soft and stretchable electronics, micro-fluids, liquid metal, colloids and interfaces of soft nanostructures, self and directed assembly, photovoltaics, polymer thin-films, carbon nanomaterials, energy and environmental and health sensors, nuclear sensors, soft electronic skin and flexible transistors. He earned his doctorate degree in chemical engineering from Indian Institute of Technology in Kanpur, India. He holds Masters degrees in Materials Engineering and Applied Physics from the University of Burdwan. Prior to joining Oak Ridge National Laboratory, he served as a Staff Scientist in the Materials Science and Engineering Department at Idaho National Laboratory. Before joining INL in 2019, he was a postdoctoral fellow at Florida Atlantic University in the Department of Ocean & Mechanical Engineering.

Dr. Khadka is a visualization researcher at Idaho National Laboratory. He received his Ph.D. from the University of Wyoming in 2019. His research interests include application of virtual reality, augmented reality, data visualization, human-computer interaction (HCI), immersive environments, immersive analytics, teleCollaboration, and collaborative data visualization.

Dr. Som Dhulipala is a Computational Scientist at Idaho National Laboratory (INL). His interest lies in uncertainty quantification (UQ) as applied to finite element analysis and critical infrastructure resilience. Currently, he is researching the theory and applications of multifidelity modeling, Bayesian deep learning, Markov models, and efficient sampling algorithms for computational problems critical to INL and the Department of Energy (DOE) missions. He also develops the open-source software MOOSE stochastic tools for conducting uncertainty quantification studies using multiphysics models. He is serving as the principal investigator for a multi-year Laboratory Directed Research and Development project and an Office of Nuclear Safety project. He is also a lead contributor to the UQ workscope under the DOE Nuclear Energy Advanced Modeling and Simulations (NEAMS) program and the scientific machine learning workscope under the DOE Advanced Materials and Manufacturing Technologies (AMMT) program.