School of Engineering
Showing 301-400 of 691 Results
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Weiyan Shi
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsMy research interests are in Natural Language Processing, especially intelligent interactive systems and the following directions:
* Interactive systems specialized in social influence for social good (e.g., persuasive dialogues)
* Privacy-preserving NLP models
* Task-oriented and open-domain dialogue systems
* Intelligible dialogue generation
* Learning through interaction
My research vision is to build a natural interface between human intelligence and machine intelligence via natural conversations, so that all members of society can interact with AI models seamlessly regardless of their backgrounds. -
Joon Hyung Shim
Visiting Professor, Mechanical Engineering
Bio2010 National Renewable Energy Lab (NREL), Researcher
2009 Stanford University, Mechanical Engineering, Lecturer
2009 Stanford University, Mechanical Engineering, Ph.D.
2004 Stanford University, Mechanical Engineering, M.S.
2002 Seoul National University, Mechanical & Aerospace Engineering, B.S. -
Chungheon Shin
Research Engineer
BioChungheon Shin is the Research Director at the Codiga Resource Recovery Center at Stanford University. He is passionate about prospects for sustainability through resource recovery from waste streams and believes that engineering can make it possible. He has been developing and optimizing innovative processes that can recover resources while mitigating greenhouse gas emissions. His studies incorporate various processes (biological and physicochemical systems), scales of analyses (kinetics to systems-level), and computational skills (conventional and data-driven models). He received his Ph.D. in Environmental Engineering at Inha University (South Korea) while developing the Staged Anaerobic Fluidized-bed Membrane Bioreactor (SAF-MBR), enabling recovery of clean water and energy from municipal wastewater, with Professor Jaehoe Bae and Professor Perry L. McCarty. He was a postdoctoral scholar in the Civil and Environmental Engineering department at Stanford University under the supervision of Professor Craig S. Criddle and Adjunct Professor Sebastien Tilmans.
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Yoav Shoham
Professor of Computer Science, Emeritus
BioYoav Shoham is professor emeritus of computer science at Stanford University. A leading AI expert, Prof. Shoham is Fellow of AAAI, ACM and the Game Theory Society. Among his awards are the IJCAI Research Excellence Award, the AAAI/ACM Allen Newell Award, and the ACM/SIGAI Autonomous Agents Research Award. His online Game Theory course has been watched by close to a million people. Prof. Shoham has founded several AI companies, including TradingDynamics (acquired by Ariba), Katango and Timeful (both acquired by Google), and AI21 Labs. Prof. Shoham also chairs the AI Index initiative (www.AIindex.org), which tracks global AI activity and progress, and WeCode (www.wecode.org.il), a nonprofit initiative to train high-quality programmers from disadvantaged populations.
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Brian Sha
Undergraduate, Computer Science
Undergraduate, Symbolic SystemsBioBrian Sha is a graduate student studying Computer Science at Stanford University and a mentor at Qualia Global Scholars.
He worked as a Teaching Fellow for Stanford’s first dual-enrollment Computer Science program, which awards Stanford credit to talented high school students from low-income communities and underrepresented backgrounds.
He has worked as a researcher for the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on the Artificial Intelligence Index (supported by Stanford, Google, MIT, McKinsey, and OpenAI, among others).
He was part of the Stanford team that won first prize in the Rotman International Trading Competition’s Algorithmic Trading Case. As a software engineer and researcher at one of the top quantitative investment firms in the world, he helped manage an investment portfolio using cutting-edge AI, ML, and Data Science. -
Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
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Nicholas Siemons
Postdoctoral Scholar, Materials Science and Engineering
BioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Lauren Simitz
Ph.D. Student in Aeronautics and Astronautics, admitted Autumn 2021
Masters Student in Aeronautics and Astronautics, admitted Winter 2022BioHi there! I'm an aerospace engineer, chemist, and geoscientist striving to both protect our world and advance technologies to explore new ones. Sustainability and DEI are just as strong of passions at the core of my work, in and outside of the space sector.
More specifically, my work in industry (Chevron, SpaceX, Benchmark) and academic research (Northwestern - flowable batteries, Stanford - clean combustion) catalyzed my passion for advancing sustainable, reliable fuel and energy systems at the micro- and macro-scale. I have interests in propulsion (chemical, air-breathing) and energy conversion processes like combustion. As a Stanford PhD candidate in the Fluids in Complex Environments (Ihme) lab, I employ the intersection of fluid mechanics, heat transfer, and kinetics to probe underlying phenomena in these areas.
I welcome messages and am always seeking collaborations with other scientists/groups. I am also happy to answer any questions about graduate school, fellowships, aerospace/chemical engineering/geoscience, and SpaceX, or put you in touch with my network, if that is helpful. -
Barbara G Simpson
Assistant Professor of Civil and Environmental Engineering
BioOur research group is made up of a small team of talented students with a wide range of skills and experience. We explore advanced computational and experimental methods to characterize structural response. Our aim is to develop innovative structural systems that improve structural performance and reduce the effects of natural hazards on the built environment.
Research areas include resilient and sustainable design and retrofit of building structures and offshore renewable energy systems, performance-based earthquake engineering, and next-generation computational modeling, including real-time hybrid simulation for fluid-structure interaction. -
Bob Sinclair
Charles M. Pigott Professor in the School of Engineering
BioUsing high-resolution transmission electron microscopy, Sinclair studies microelectronic and magnetic thin film microstructure.
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Arpit Singh
Graduate, Stanford Center for Professional Development
BioI am a senior software engineer at Nvidia, currently pursuing a graduate AI specialization at Stanford. My primary focus lies in building deep learning infrastructure and specialize in schedulers, micro-services & Kubernetes. I am deeply passionate about creating highly performant and scalable ML stacks, encompassing everything from infrastructure and data pipelines to models.
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Karan P. Singh
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am an incoming electrical engineering Ph.D. student and full-time post-baccalaureate researcher, currently advised by Dr. Kim Butts Pauly in the Department of Radiology. My research will be funded by the NSF Graduate Research Fellowship.
My lab works primarily in transcranial ultrasound neuromodulation, a non-invasive therapeutic modality with the potential to cure neurological diseases such as epilepsy, Alzheimer's, and even addiction. My primary focus at the moment is using machine learning, particularly sequence models, to improve therapy outcomes and efficiency.
Previously, I studied electrical engineering at Cal Poly SLO and was the youngest engineering graduate in the school's history. There, I worked with Dr. Benjamin Hawkins on microfluidics research examining the electrowetting effect.
Outside of academia, I enjoy playing the piano, badminton, working out, and cooking! I am also the co-founder and co-president of the Stanford Piano Society. -
Sunny Singh
Masters Student in Engineering, admitted Autumn 2023
BioHowdy y'all! I'm currently pursuing an M.S. in Aero & Astro at Stanford and am passionate about Exploration, Education, and Community Service. I graduated from Georgia Tech with a B.S. in Mechanical Engineering with a minor in Computer Science (specializing in Automation & Robotic Systems).
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Mohit Singhala
Postdoctoral Scholar, Bioengineering
BioMohit is the Global Innovation Fellow at Impact1, Stanford Biodesign. He comes from India, where he completed his undergraduate training in mechanical engineering.
Mohit leads research at Stanford and Johns Hopkins that leverages robotics principles to understand and address complex systems-level healthcare needs of underserved populations. He is currently developing Maitri, a system that aims to bring the promise of digital health & AI to prenatal screening of mothers seeking care at community health centers of India- combining implementation science and design thinking.
He completed his PhD at Johns Hopkins, where he studied haptics and medical robotics. He built custom electromechanical testbeds to quantitatively assess how humans perceive touch. His work on haptic perception is being used to develop novel therapies for children on the spectrum for Autism and for quantitative measurement of pain in patients suffering from peripheral neuropathy.
He concurrently served as an innovator-in-residence at Johns Hopkins CBID, where he previously earned his MSE in bioengineering innovation and design. He has invented several patented and patent-pending medical devices, performed primary ethnography in multiple countries, and received funding from organizations such as the Gates Foundation. He continues his global health collaborations in India, Uganda and Zambia, where has invented several medical technologies including a mosquito trap, currently being tested in East Africa to accelerate malaria research through large scale capture of different mosquito species.
Mohit also played a crucial role in Hopkins’ COVID-19 pandemic response, most notably helping devise an emergency dialysate production method that was adopted by multiple healthcare facilities. -
David Sirkin
Lecturer
BioDavid Sirkin is a Research Associate at Stanford University's Center for Design Research, where he focuses on design methodology, as well as the design of physical interactions between humans and robots, and autonomous vehicles and their interfaces. He is also a Lecturer in Electrical Engineering, where he teaches interactive device design. David frequently collaborates with, and consults for, local Silicon Valley and global technology companies including Siemens, SAP and Microsoft Research. He grew up in Florida, near the Everglades, and in Maine, near the lobsters.
