School of Engineering
Showing 1,901-2,000 of 6,460 Results
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Angel Gunaman
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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Shivani Guptasarma
Ph.D. Student in Mechanical Engineering, admitted Autumn 2019
BioShivani Guptasarma is a PhD student at the Assistive Robotics and Manipulation (ARM) Lab, where she studies the control of robotic upper limb prostheses. She is a recipient of graduate fellowships from the Knight-Hennessy Scholars and the Wu Tsai Human Performance Alliance at Stanford. She obtained her Bachelors and Masters degrees at the Department of Engineering Design at the Indian Institute of Technology Madras in Chennai, India.
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Turgut M Gür
Adjunct Professor, Materials Science and 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
Graduate, Stanford Center for Professional Development
BioMachine Learning Engineer @ Google. Currently focusing on efficient model training and inference.
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Kai Douglas Hammond
Undergraduate, Mechanical Engineering
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. -
Yinbin Han
Ph.D. Student in Management Science and Engineering, admitted Autumn 2025
BioYinbin Han is a Ph.D. student in the Department of Management Science and Engineering at the Stanford University. Before joining Stanford, Yinbin was a Ph.D. student in the Department of Finance and Risk Engineering at the New York University from 2024 - 2025 and in the Epstein Department of Industrial and Systems Engineering at the University of Southern California from 2021 - 2024. Yinbin is fortunate to be co-advised by Prof. Renyuan Xu (Stanford) and Prof. Meisam Razaviyayn (USC). Yinbin obtained his B.S. in Mathematics from the Chinese University of Hong Kong, Shenzhen, where he was advised by Prof. Zizhuo Wang. Yinbin's research interests include diffusion models, reinforcement learning, stochastic control and nonconvex optimization.