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savage_bruce-2017

Bruce Savage

Ph.D., P.E. - Professor and Chair

Office: Colonial Hall 221

208-282-3131

brucesavage@isu.edu

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.

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Arya Ebrahimpour

Ph.D., P.E. - Professor and Director of M.S. Program in Civil Engineering

Office: Colonial Hall 224

208-282-4695

ebraarya@isu.edu

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.

Prof. Solomon W. Leung

Solomon Leung

Ph.D., P.E. - Professor, Coordinator, Environmental Engineering Program

Office: Colonial Hall 219

208-282-2524

leunsolo@isu.edu

Dr. Solomon Leung CV

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.

Mahar.Jim

James Mahar

Ph.D., LPG, PG, PHG - Senior Lecturer

Office: Colonial Hall 9

208-282-5287

mahajame@isu.edu

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.

Mustafa Mashal

Mustafa Mashal

Professor, Special Advisor to the Vice President for Research and Economic Development, Associate Director of CAES, Director of Disaster Response Complex & Structural Lab

Office: Center for Advanced Energy Studies 286, Colonial Hall 218

(208) 282–4587

(208) 282-4538

mashmust@isu.edu

Website

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

Chikashi Sato

Chikashi Sato

Ph.D. - Professor, Director of Environmental Science and Management

Office: Colonial Hall 6

208-282-4389

satochik@isu.edu

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 - special issue "Microbial Fuel Cells, 3rd Edition" for the journal Energies

Jared Cantrell

Manager, Disaster Response Complex

cantjare@isu.edu

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.

Tadesse Wakjira

Tadesse Wakjira

Ph.D. - Postdoctoral Researcher (CAES) and Adjunct

Office: Colonial Hall 218

tadessewakjira@isu.edu

Website

Dr. Wakjira received his Ph.D.s in Civil Engineering from The University of British Columbia (UBC) in 2024 and Qatar University in 2022. His research focuses on enhancing the sustainability and resilience of critical infrastructure, with the aim of improving community resilience after extreme events, such as earthquakes. Dr. Wakjira employs a unified approach that integrates conventional approaches, including experimental, analytical, and numerical models, with emerging techniques like artificial intelligence (AI), machine learning (ML), deep learning, transfer learning, genetic programming, explainable AI, physics-informed ML, and multi-objective optimization algorithms.