School of Engineering
Showing 1-100 of 100 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
Assistant Professor of Management Science and Engineering
Current Research and Scholarly InterestsMelissa Valentine is an Assistant Professor at Stanford University in the Management Science and Engineering Department, and co-director of the Center for Work, Technology, and Organization (WTO).
Prof Valentine's research focuses on understanding how new technologies change work and organizations. She conducts in-depth observational studies to develop new understanding about new forms of organizing. Her work makes contributions to understanding classic and longstanding challenges in designing groups and organizations (e.g., the role of hierarchy, how to implement change, team stability vs. flexibility) but also brings in deep knowledge of how the rise of information technology has made possible new and different team and organizational forms. Her most recent study examined how the deployment of new algorithms changed the organizational structure of a retail tech company.
Prof. Valentine has won awards for both research and teaching. She and collaborators won a Best Paper Award at the CHI Conference on Human Factors in Computing Systems and the Outstanding Paper with Practical Implications award from the Organizational Behavior division of the Academy of Management. In 2013, she won the Organization Science/INFORMS dissertation proposal competition and received her PhD from Harvard University. -
Gregory Valiant
Assistant 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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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 research focuses on understanding how an agent interacting with a poorly understood environment can learn over time to make effective decisions. He is interested in the design of efficient reinforcement learning algorithms, understanding what is possible or impossible in this domain, and applying the technology toward the benefit of society. 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-edits 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. 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, and the Management Science and Engineering Department's Graduate Teaching Award. 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. -
Varun Vasudevan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsMy research focus is in deep learning for medical image analysis.
During Masters, my research was in best rank-1 approximations in the 1-norm. -
Ross Daniel Venook
Lecturer, Bioengineering
BioRoss is a Lecturer in the Bioengineering department and he directs Engineering at the Stanford Byers Center for Biodesign.
Ross co-leads two 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. -
Catalin Voss
Ph.D. Student in Computer Science, admitted Autumn 2017
BioCatalin Voss is an entrepreneur and a PhD candidate in Artificial Intelligence at Stanford University, where he previously graduated with a MS and BSH in Computer Science. Catalin’s research focusses on building scalable AI systems that solve practical social challenges. Catalin developed an AI-based augmented reality therapy for children with autism, currently pursuing FDA clearance. He also co-founded DukaConnect, a Kenyan company that built a computer vision based Point of Sale system for shopkeepers in emerging markets and was acquired by Mastercard in 2018. As an undergraduate student in theoretical computer science, Catalin founded computer vision company Sension, developing face tracking software that was acquired by GAIA Systems (owned by Toyota) in 2015. While in high school, Catalin built a mobile payments system at PayNearMe with Macintosh-father Steve Capps. He has won the Lemelson-MIT Graduate Student prize, Stanford's Kennedy Medal, Forbes’ 30 under 30, Business Insider’s 40 under 40, and other awards for his work and has been profiled in outlets such as WIRED. Originally from Germany, Catalin moved to Silicon Valley at age 17 and has served as an advisor and Venture Partner for Axel Springer, Europe’s largest publishing company.
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Jelena Vuckovic
Jensen Huang Professor of Global Leadership and Professor, by courtesy, of Applied Physics
Current Research and Scholarly Interestsphotonics, quantum technologies, quantum optics, inverse design
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Hitesh Vyas
Graduate, Stanford Center for Professional Development
BioI work at Microsoft as a Software Engineer and studying Artificial Intelligence at Stanford University.
I am interested in AI, Cloud, Networking, Security, Web Services and Distributed Systems. -
Saurabh Vyas
Ph.D. Student in Bioengineering, admitted Autumn 2014
BioHow does the brain prepare and execute movements from as simple as reaching for a cup of coffee to performing a perfectly synchronized dive? Which computational principles does the brain use to help us learn new motor skills? Do these insights enable development of next-generation medical devices that can help people with movement disorders? To study these questions, I apply techniques from statistical signal processing, machine learning, and dynamical system theory to uncover computational motifs that underlie motor control and learning.
Please visit my website for up-to-date details about my research and publications:
http://stanford.edu/~smvyas/
