School of Engineering
Showing 1-100 of 134 Results
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Mauricio Valencia
Director Corporate Relations, School of Engineering - External Relations
Current Role at StanfordDirector of Corporate Relations, School of Engineering
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Melissa Valentine
Associate Professor of Management Science and Engineering
On Partial Leave from 10/01/2022 To 06/30/2023Current Research and Scholarly InterestsAs societies develop and adopt new technologies, they fundamentally change how work is organized. The intertwined relationship between technology and organizing has played out time and again, and scholars predict that new internet and data analytic technologies will spur disruptive transformations to work and organizing.
These changes are already well-documented in the construction of new market arrangements by companies such as Upwork and TaskRabbit, which defined new categories of “gig workers.” Yet less is known about how internet and data analytic technologies are transforming the design of large, complex organizations, which confront and solve much different coordination problems than gig platform companies.
Questions related to the structuring of work in bureaucratic organizations have been explored for over a century in the industrial engineering and organizational design fields. Some of these concepts are now so commonplace as to be taken for granted. Yet there was a time when researchers, workers, managers, and policymakers defined and constructed concepts including jobs, careers, teams, managers, or functions.
My research program argues that some of these fundamental concepts need to be revisited in light of advances in internet and data analytic technologies, which are changing how work is divided and integrated in organizations and broader societies. I study how our prior notions of jobs, teams, departments, and bureaucracy itself are evolving in the age of crowdsourcing, algorithms, and increasing technical specialization. In particular, my research is untangling how data analytic technologies and hyper-specialization shape the division and integration of labor in complex, collaborative production efforts characteristic of organizations. -
Gregory Valiant
Associate Professor of Computer Science
Current Research and Scholarly InterestsMy primary research interests lie at the intersection of algorithms, learning, applied probability, and statistics. I am particularly interested in understanding the algorithmic and information theoretic possibilities and limitations for many fundamental information extraction tasks that underly real-world machine learning and data-centric applications.
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William R. Van Dalsem
Adjunct Lecturer, Mechanical Engineering
BioBill recently completed 40+ years at NASA. Bill's goal is to help the next generation of engineers address the complex challenges facing society, such as climate change, and the resulting critical needs to achieve greener energy and transportation and reduce the impact of wildfires and droughts.
He graduated from Stanford with a Ph.D. in Mechanical Engineering (with a minor in Aeronautics and Astronautics) in 1984, as well as a Master's in Mechanical Engineering in 1981. Bill received his Bachelor's in Mechanical Engineering from the University of California, Santa Barbara where his capstone project was an operational diffuser augmented wind turbine. Bill was a University of California Regent Scholar.
At NASA, Bill began as a research scientist in computational fluid dynamics, eventually providing leadership to organizations that provided aerodynamic support to activities ranging from the Space Shuttle to V/STOL aircraft. Bill led NASA-wide programs which brought high-performance computing to bear on Earth sciences, multi-disciplinary physics to aerospace design, and explored the application of nano and quantum technologies to NASA missions. Bill led NASA Ames' Intelligent Systems Division, which provided critical software to NASA's Earth-like planet detecting Kepler mission, two missions to the Moon, and many innovative small spacecraft missions. Bill spent seven years as a senior systems engineer in the NASA Ames Office of the Chief Engineer. Bill served as the Deputy Director and Chief Strategy Officer of the NASA Ames Aeronautics Directorate, when among his other duties he envisioned a Data & Reasoning Fabric to enable autonomous aircraft to provide critical services in complex environments. In 2020, Bill received NASA's highest recognition, the NASA Distinguished Service Medal.
Bill is learning about exciting new challenges and creative student solutions from his participation in the Stanford Mechanical Engineering Senior Capstone Program. In return, he is trying to provide some lessons learned from working some of NASA's most exciting and challenging missions.
Stanford Mechanical Engineering Senior Capstone Program:
https://me170.stanford.edu -
Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His current research focuses on reinforcement learning. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edited the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization. He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT, where his doctoral research was advised by John N. Tstitsiklis. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, the Management Science and Engineering Department's Graduate Teaching Award, and the Lanchester Prize. He was the plenary speaker at the 2019 Allerton Conference on Communications, Control, and Computing. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen. -
Dave Van Veen
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioFor more about Dave, see http://davevanveen.com
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Tom Van Wouwe
Postdoctoral Scholar, Bioengineering
BioI received a B.S. degree in Engineering Science, Mechanical Engineering (2013, KU Leuven, Belgium) and a M.Sc. in Engineering Science, Biomedical Technology (2015, KU Leuven, Belgium). I worked for a year as an engineer in the Janssen Pharmaceutical Companies of Johnson & Johnson (Beerse, Belgium). After, I returned to academia for a PhD on computational methods to simulate neuromechanical models of human movement. In January 2018 I received a four-year FWO-SB fellowship on the topic of my dissertation. During my PhD I collaborated with the Computer Science research group of the Georgia Institute of Technology and with the Department of Biomechanical Engineering of the University of Twente resulting in academic publications. I supervised ten master students in Rehabilitation & Movement Sciences for their master’s thesis projects and taught the practical sessions in the second year biomechanics course for undergraduate students in Rehabilitation & Movement Sciences.
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Tiziana Vanorio
Associate Professor of Earth and Planetary Sciences and, by courtesy, of Civil and Environmental Engineering and of Geophysics
Current Research and Scholarly InterestsRock Physics, Fossil Energy Exploration, Volcanic and Geothermal Environments and Microseismicity
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Andras Vasy
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: non-elliptic linear and non-linear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for X-ray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.
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Navya Veeturi
Graduate, Stanford Center for Professional Development
BioSoftware Engineer (NVIDIA) with passion for building customer friendly products. Interested in learning how Machine Learning and Deep Learning is applicable in solving real world problems especially in the field of NLP and Computer Vision.
Currently pursuing Graduate course in Artificial Intelligence (Winter 2021) -
Ross Daniel Venook
Senior Lecturer of Bioengineering
BioRoss is a Senior Lecturer in the Bioengineering department and he directs Engineering at the Stanford Byers Center for Biodesign.
Ross co-leads three undergraduate courses at Stanford—an instrumentation lab (BIOE123) and an open-ended capstone design lab sequence (BIOE141A/B)—and he supports other courses and runs hands-on workshops in the areas of prototyping and systems engineering related to medical device innovation. He enjoys the unique challenges and constraints offered by biomedical engineering projects, and he delights in the opportunity for collaborative learning in a problem-solving environment.
An Electrical Engineer by training (Stanford BS, MS, PhD), Ross’ graduate work focused on building and applying new types of MRI hardware for interventional and device-related uses. Following a Biodesign Innovation fellowship, Ross helped to start the MRI safety program at Boston Scientific Neuromodulation, where he continues working across the MRI safety community to create and improve international standards and to enable safe MRI access for patients with implanted medical devices.
