School of Engineering
Showing 381-400 of 448 Results
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Joel Swisher
Adjunct Professor
BioJoel N. Swisher, PhD, PE, is Consulting Associate Professor of Civil and Environmental Engineering at Stanford University, where he teaches graduate-level courses on greenhouse gas (GHG) mitigation (covering technical and business strategies to manage GHG risks) and electric utility planning methods (covering supply and demand-side resources, resource integration and expansion planning). His current research at Stanford addresses the integration of plug-in vehicles with the power grid and the barriers and synergies related to metering, tariffs, load management, customer incentives, and charging infrastructure.
Dr. Swisher is also an independent consultant with over 30 years experience in research and consulting on many aspects of clean energy technology. He is an expert in energy efficiency technology and policy, carbon offsets and climate change mitigation, and electric utility resource planning and economics. He has consulted with numerous utilities, manufacturers and technology companies on resource planning, energy efficiency, vehicle electrification and clean energy deployment strategies. He has also helped consumer-oriented firms design strategies to expand simple cost-saving energy investment programs into brand-building corporate sustainability campaigns.
Dr. Swisher is a thought leader in several areas of clean energy technology and business strategy. As Director of Technical Services and CTO for Camco International, Dr. Swisher helped develop carbon offset projects in reforestation, agriculture, renewable energy and building energy efficiency, and he has authored emission inventories, baseline studies and monitoring and verification plans for multilateral banks and private offset buyers. Starting in 1989, Dr. Swisher performed seminal research on carbon offset baselines and technical and economic analysis of carbon offsets in the energy and land-use sectors.
Dr. Swisher was managing director of research and consulting at Rocky Mountain Institute (RMI), where he led RMI’s consulting team in work for numerous high-profile clients, including electric utilities and producers of goods ranging from semiconductor chips to potato chips. At RMI, he created the concept of the Smart Garage, which explores the energy system synergies in which vehicle electrification helps enable zero-emission vehicles and a cleaner power grid. He led an RMI team that convened an industrial consortium (including Alcoa, Johnson Controls, Google, etc.) to develop a new, lightweight, plug-in hybrid vehicle platform for Class 2 truck fleet applications. Collaborating with the design firm IDEO to conduct interdisciplinary design workshops, the RMI team initiated a working design to attract funding and move toward production, which proceeded as a spin-off company, Bright Automotive in Indiana.
Dr. Swisher holds a Ph.D. in Energy and Environmental Engineering from Stanford University. He is a registered Professional Engineer and speaks five languages. He is author of over 100 professional publications including The New Business Climate: A Guide to Lower Carbon Emissions and Better Business Performance and a bilingual (English and Portuguese) textbook on energy efficiency program design and evaluation and integrated energy resource planning. -
William Abraham Tarpeh
Assistant Professor of Chemical Engineering, by courtesy, of Civil and Environmental Engineering and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioReimagining liquid waste streams as resources can lead to recovery of valuable products and more efficient, less costly approaches to reducing harmful discharges to the environment. Pollutants in effluent streams can be captured and used as valuable inputs to other processes. For example, municipal wastewater contains resources like energy, water, nutrients, and metals. The Tarpeh Lab develops and evaluates novel approaches to resource recovery from “waste” waters at several synergistic scales: molecular mechanisms of chemical transport and transformation; novel unit processes that increase resource efficiency; and systems-level assessments that identify optimization opportunities. We employ understanding of electrochemistry, separations, thermodynamics, kinetics, and reactor design to preferentially recover resources from waste. We leverage these molecular-scale insights to increase the sustainability of engineered processes in terms of energy, environmental impact, and cost.
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Clyde Tatum
Obayashi Professor in the School of Engineering, Emeritus
BioTatum's teaching interests are construction engineering and technical construction. His research focuses on construction process knowledge and integration and innovation in construction.
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Kamran Tehranchi
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2023
BioKamran Tehranchi is a Ph.D. Student in Civil & Environmental Engineering at Stanford University researching electricity system planning and decision-making under uncertainty applied towards offshore wind integration in California. He has previously worked in the public sector as a Shultz Energy Fellow at the California Independent System Operator (CAISO), an analyst at a Community Choice Aggregator (CCA), and within city and county governments. He is advised by Professor Inês Azevedo and is a member of the Interdisciplinary Energy Systems research group. He received his BS in Mechanical Engineering at Northwestern University.
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Leif Thomas
Professor of Earth System Science and, by courtesy, of Geophysics, of Civil and Environmental Engineering and of Oceans
Current Research and Scholarly InterestsPhysical oceanography; theory and numerical modeling of the ocean circulation; dynamics of ocean fronts and vortices; upper ocean processes; air-sea interaction.
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Sebastien Tilmans
Student, Civil and Environmental Engineering
BioSebastien is the Executive Director at the Codiga Resource Recovery Center at Stanford University, a test-bed facility dedicated to accelerating the scale-up of innovative resource recovery systems. Prior to joining Stanford, he worked in the Process Engineering group at Oceanside Wastewater Treatment Plant for the San Francisco Public Utilities Commission. He has also designed and implemented several decentralized anaerobic wastewater treatment systems in Panama, and a waterless sanitation service in Haiti. He holds a PhD in Environmental Engineering from Stanford University, and a B.E. in Civil Engineering from Cooper Union. He was a Fulbright scholar, an NDSEG fellow, and an EPA STAR fellow.
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Alberto Tono
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2021
Ph.D. Minor, Computer ScienceBioTono Alberto is a current PhD Student at Stanford under the supervision of Kumagai Professor: Martin Fischer. He is currently exploring ways in which the Convergence between Digital and Humanities can facilitate cross-pollination between different industries within an Ethical Framework focused on augmenting human intelligence.
He served as the Research and Computational Design Leader in Architectural and Engineering organizations, receiving the O1-visa for outstanding abilities with both HOK and HDR. Tono obtained his Masters in Building Engineering - Architecture from the University of Padua and the Harbin Institute of Technology under the supervision of Andrea Giordano, Carlo Zanchetta and Paolo Borin. He has been working in the computational design and deep learning space since 2014. Furthermore, he is improving Building Information Modeling and Virtual Design and Construction (BIM/VDC) workflows within a statistical framework to optimize the sustainability impact of these processes. Hence, Tono is LEED AP certified. He is an international multi-award-winning “hacker” and speaker, and his work within Architecture and Artificial Intelligence brought him to companies in China, the Netherlands, Italy, and California. Thanks to his multidisciplinary approach he worked as Data Scientist and Geometric Deep Learning Researcher at a Physna/Thangs helping to raise over 80 Milion while working on 3D Search and Monocular 3D Shape Retrieval problems.
Currently is focusing on better methodologies for Generative Building Design, centered on capturing design knowledge from the primordial and universal act of Sketching.