School of Engineering
Showing 1,801-1,900 of 6,011 Results
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Carlos Ernesto Guestrin
Fortinet Founders Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
BioCarlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi.
Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA. -
Leonidas Guibas
Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.
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Angel Gunaman
Office Aide, Contingent
Undergraduate, Management Science and Engineering
Undergraduate, Mechanical EngineeringBioI'm a Mechanical Engineering major at Stanford, concentrating in Product Realization and minoring in Management Science & Engineering. I'm passionate about building meaningful technology and have experience in engineering research, product development, and public sector infrastructure.
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Senthil Vel Gunasekaran
Graduate, Stanford Center for Professional Development
BioI'm a software engineer from industry taking courses at Stanford. I completed the Graduate Certificate in AI and am currently enrolled in CS329Z.
My interests are in AI, particularly evaluating AI systems and AI safety: how to measure whether a system is reliable, especially in settings where errors cause real harm. I'm currently building an open-source harness for evaluating speech systems on clinically meaningful errors.
I'm looking for collaborators on evaluation and safety research. Reach me at sguna@stanford.edu. -
Turgut M Gür
Staff, Mechanical Engineering
Npl Research Liaison, Mechanical Engineering - DesignBioTurgut M. Gür is an Adjunct Professor of Materials Science and Engineering at Stanford University, where he recently retired after a distinguished career that included technical and management leadership for three major multi-disciplinary team-based research centers on campus focused on advanced materials and energy conversion and storage, namely, the DOE-EFRC Center on Nanostructuring for Efficient Energy Conversion (CNEEC), the NSF-MRSEC Center for Materials Research (CMR), and Geballe Laboratory for Advanced Materials (GLAM).
Currently, he is the President of The Electrochemical Society and chairs its Board of Directors and several other ECS committees. He is also an inducted Fellow of The Electrochemical Society.
In addition, he holds a Visiting Professor appointment from the Chinese University of Mining and Technology-Beijing (CUMTB) in China, and an "international mentor" appointment from the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway.
He is an internationally recognized leader in high temperature electrochemical energy conversion and storage technologies, materials and processes with 11 US issued patents, 17 (published) patent applications, and 165 technical publications, largely related to energy conversion processes and materials including fuel cells, electrocatalysis, electrosynthesis, coal and hydrocarbon conversion, hydrogen production, and sensors and membranes. He has made nearly 150 oral presentations in national and international conferences, given 85 invited lectures, talks and colloquia, co-organized 24 international conferences and symposia, and co- edited 18 transaction volumes and proceedings.
In 2020, out of more than 186,000 energy scientists in the world, he is ranked the 702nd most cited energy researcher, and is also rated in the top 1% of most cited among all scientists in the world across all scholarly fields of sciences, engineering and medicine (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3000918). Recently, he is also ranked in the top 5% of cited researcher in RSC journals by The Royal Society of Chemistry.
As an entrepreneur, he was involved in developing advanced technologies in several start-up companies developing supercapacitors, chemically assisted spontaneous production of hydrogen via steam electrolysis, carbon fuel cells for efficient conversion of coal, biomass and other solid fuels to electricity with total carbon capture, and industrial wastewater treatment based on electrochemical remediation by selective reduction and capacitive deionization.
He has served in top leadership positions on the boards of several professional societies as well as industrial and non-profit organizations. He has been on the Board of Directors of The Electrochemical Society for 6 years and was the Chair of the High Temperature Energy Materials and Processes division of the Society. Previously, he had served 3 terms on the Board of the International Society for Solid State Ionics (ISSI), which is another leading global society for scientists in electrochemical energy conversion and storage. Formerly, he was an Associate Editor of the Journal of the American Ceramic Society (2002-2014), and the editor for Solid State Ionics Letters (1998-2002).
He also volunteers his time as a Board Trustee and the former Vice President of the Turkish Educational Foundation, a charitable non-profit organization in the San Francisco Bay Area in California, USA, that provides financial support, scholarships and educational assistance annually to 2400 needy students in Turkey.
He holds BSc and MSc degrees in Chemical Engineering from the Middle East Technical University in Ankara, Turkey, and three graduate degrees including a Ph.D. in Materials Science and Engineering from Stanford University. -
Jiyoun Ha
Masters Student in Computer Science, admitted Autumn 2026
BioMachine Learning Engineer @ Google. Currently focusing on efficient model training and inference.
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Kai Douglas Hammond
Masters Student in Mechanical Engineering, admitted Autumn 2024
BioClass of 2027. Stanford Undergraduate majoring in Mechanical Engineering.
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Arash Hamzehlou
Graduate, Stanford Center for Professional Development
BioA graduate student at Stanford University, focusing on artificial intelligence for autonomous cyber-physical systems. Arash's current interests span embedded/edge AI for real-time systems including real-time inference and scheduling, resource-aware model optimization (quantization, pruning, distillation), and autonomous decision-making and control, including learning-based control and planning (MPC, safe/model-based RL, offline RL, POMDPs, TAMP, and world models). He is currently deepening broad AI studies while refining his research direction.
Arash’s professional background includes developing real-time, high-fidelity simulations and digital twins for NASA’s Space Launch System, spanning mission-critical hardware and RF communication subsystems. He plans to pursue a Ph.D. in Computer Science to build trustworthy intelligent systems that minimize human intervention across diverse real-world applications.
MS in Aerospace Engineering from University of Florida (2023)
Graduate Certificate in Engineering Innovation
BS in Computer Engineering from Minnesota State University (2020)
Projects:
• AI Classifier – 1st Place, UF AI Challenge: Created the most accurate classification algorithm among 60 teams.
• Few-shot CV Model – 3rd Place, US Navy Surprise Challenge: Developed a CV algorithm for novel class generalization.
• Geospatial Analyst – Designed and developed Rodinia, an AI agent capable of interpreting semantic context from satellite imagery by analyzing geological positions, physical characteristics, and temporal cause-effect patterns across terrain and infrastructure.
• Vision Navigator – Conceptualized and prototyped an early-stage navigation system for autonomous drones, enabling real-time pathfinding and localization solely through visual input from onboard cameras.
• Handheld SPICE Simulator: Built a portable SPICE-based device; placed 4th in Minnesota STEM challenge 2019.
• Phased Array Research: Conducted simulation research on phased array antennas using MATLAB.
• IoT Blood Pressure Monitor: Built a cloud-connected wearable device as a capstone project.
