School of Engineering
Showing 1-50 of 372 Results
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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.
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Zherui Han
Postdoctoral Scholar, Electrical Engineering
BioZherui Han received his Ph.D. (2024) in Mechanical Engineering from Purdue University, and B.S. (2019) in Energy and Power Engineering from Huazhong University of Science and Technology in China. He is a recipient of Purdue's Ross Fellowship and Bilsland Dissertation Fellowship. He is now a postdoc at Stanford developing theory for thermal and electronic transport in 2D systems and devices. His prior works include first-principles modeling of phonon dynamics.
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Pat Hanrahan
Canon Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus
BioProfessor Hanrahan's current research involves rendering algorithms, high performance graphics architectures, and systems support for graphical interaction. He also has worked on raster graphics systems, computer animation and modeling and scientific visualization, in particular, volume rendering.
