Stanford Doerr School of Sustainability


Showing 31-35 of 35 Results

  • Robert Street

    Robert Street

    William Alden and Martha Campbell Professor in the School of Engineering, Emeritus

    Current Research and Scholarly InterestsStreet focuses on numerical simulations related to geophysical fluid motions. His research considers the modeling of turbulence in fluid flows, which are often stratified, and includes numerical simulation of coastal upwelling, internal waves and sediment transport in coastal regions, flow in rivers, valley winds, and the planetary boundary layer.

  • Jenny Suckale

    Jenny Suckale

    Associate Professor of Geophysics and, Senior Fellow, by courtesy, at the Woods Institute for the Environment

    BioMy research group studies disasters to reduce the risk they pose. We approach this challenge by developing customized mathematical models that can be tested against observational data and are informed by community needs through a scientific co-production process. We intentionally work on extremes across different natural systems rather than focusing on one specific natural system to identify both commonalities in the physical processes driving extremes and in the best practices for mitigating risk at the community level. Our current research priorities include volcanic eruptions, ice-sheet instability, permafrost disintegration, induced seismicity and flood-risk mitigation. I was recently awarded the Presidential Early Career Awards for Scientists and Engineers, the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers and the CAREER award from the National Science Foundation.

  • James Sweeney

    James Sweeney

    Professor of Management Science & Engineering, Senior Fellow at the Stanford Institute for Economic Policy Research, at the Precourt Institute for Energy and, by courtesy, at the Hoover Institution

    Current Research and Scholarly InterestsDeterminants of energy efficiency opportunities, barriers, and policy options. Emphasis on behavioral issues, including personal, corporate, or organizational. Behavior may be motivated by economic incentives, social, or cultural factors, or more generally, by a combination of these factors. Systems analysis questions of energy use.

  • Joel Swisher

    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.

  • Paul Switzer

    Paul Switzer

    Professor of Statistics and of Environmental Earth System Science, Emeritus

    BioDr. Switzer's research interests are in the development of statistical tools for the environmental sciences. Recent research has focused on the interpretation of environmental monitoring data, design of monitoring networks, detection of time trends in environmental and climatic paramenters, modeling of human exposure to pollutants, statistical evaluation of numerical climate models and error estimation for spatial mapping.