School of Engineering


Showing 151-160 of 701 Results

  • Ron Dror

    Ron Dror

    Cheriton Family Professor and Professor, by courtesy, of Structural Biology and of Molecular & Cellular Physiology

    Current Research and Scholarly InterestsMy lab’s research focuses on computational biology, with an emphasis on 3D molecular structure. We combine two approaches: (1) Bottom-up: given the basic physics governing atomic interactions, use simulations to predict molecular behavior; (2) Top-down: given experimental data, use machine learning to predict molecular structures and properties. We collaborate closely with experimentalists and apply our methods to the discovery of safer, more effective drugs.

  • Shaul Druckmann

    Shaul Druckmann

    Associate Professor of Neurobiology, of Psychiatry and Behavioral Sciences and, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsOur research goal is to understand how dynamics in neuronal circuits relate and constrain the representation of information and computations upon it. We adopt three synergistic strategies: First, we analyze neural circuit population recordings to better understand the relation between neural dynamics and behavior, Second, we theoretically explore the types of dynamics that could be associated with particular network computations. Third, we analyze the structural properties of neural circuits.

  • John Duchi

    John Duchi

    Associate Professor of Statistics, of Electrical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsMy work spans statistical learning, optimization, information theory, and computation, with a few driving goals: 1. To discover statistical learning procedures that optimally trade between real-world resources while maintaining statistical efficiency. 2. To build efficient large-scale optimization methods that move beyond bespoke solutions to methods that robustly work. 3. To develop tools to assess and guarantee the validity of---and confidence we should have in---machine-learned systems.

  • Eric Dunham

    Eric Dunham

    Professor of Geophysics

    Current Research and Scholarly InterestsPhysics of natural hazards, specifically earthquakes, tsunamis, and volcanoes. Computational geophysics.

  • Alexander Dunn

    Alexander Dunn

    Associate Professor of Chemical Engineering
    On Partial Leave from 04/01/2024 To 06/30/2024

    Current Research and Scholarly InterestsMy lab is deeply interested in uncovering the physical principles that underlie the construction of complex, multicellular animal life.

  • Zakir Durumeric

    Zakir Durumeric

    Assistant Professor of Computer Science

    BioI am an Assistant Professor of Computer Science. My research brings a large-scale, empirical approach to the study of security, abuse, and misinformation on the Internet. I build systems to measure complex networked ecosystems, and I use the resulting perspective to understand real-world behavior, uncover weaknesses and attacks, architect more resilient approaches, and guide policy decisions.

  • Robert Dutton

    Robert Dutton

    Robert and Barbara Kleist Professor in the School of Engineering, Emeritus

    BioDutton's group develops and applies computer aids to process modeling and device analysis. His circuit design activities emphasize layout-related issues of parameter extraction and electrical behavior for devices that affect system performance. Activities include primarily silicon technology modeling both for digital and analog circuits, including OE/RF applications. New emerging area now includes bio-sensors and the development of computer-aided bio-sensor design.

  • John Eaton

    John Eaton

    Charles Lee Powell Foundation Professor in the School of Engineering, Emeritus

    BioEaton uses experiments and computational simulations to study the flow and heat transfer in complex turbulent flows, especially those relevant to turbomachinery, particle-laden flows, and separated flows, and to develop new techniques for precise control of gas and surface temperature during manufacturing processes.

  • Dr Jonathan Antonio Edelman

    Dr Jonathan Antonio Edelman

    Lecturer

    BioMy professional and academic experience includes working with, facilitating and teaching teams from the around the globe in a wide spectrum of domains including Product Service System Design, User Experience, Interaction Design, Business Innovation, Digital Transformation and Digital Health Design.

    I have a PhD in Mechanical Engineering (New Product Development and Design Theory & Methodology) from Stanford University, an MFA in Art and Design from Stanford University, a BA in Historical Mathematics and Philosophy from St John's College, Annapolis, and was a GlaxoSmithKline Fellow at the Stanford Graduate School of Business, Summer Institute for Entrepreneurship.I am founder and director of the Center for Advanced Design Studies. My work focuses on understanding and creating innovative cultures that make impact in diverse cultural settings.

    As a deep generalist, my interests are fundamentally transdisciplinary: I study how change is made in diverse fields and distill these insights into novel formal methods that can be brought to a wide range of fields to create new phenomena that enable entrepreneurs and intrapreneurs to bring their best to make positive impact in the world.

    My expertise is in creating a bridge between cutting edge design theory and day-to-day practice by providing design teams with tested conceptual frameworks and physical tools for ideation, prototyping and empirical testing. Polymath, Iconoclast, Classicist and Lover of Pop Culture, I engage and inspire diverse communities to think outside the box, to reach and deliver far beyond expectations.