Dean's Office
Showing 1-34 of 34 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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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. -
Kelly Harrison
Lecturer
Current Research and Scholarly InterestsCollaboration in science
Transit of Venus
Discovery of Neptune
Sociology, history, philosophy of science and technology
Science, Technology, and Society (Science Studies) -
Phillip Hoang
Graduate, Stanford Center for Professional Development
BioPhillip Hoang is an AI and Data Science leader with 20+ years of experience in real-time embedded systems, integrating technical depth with communication as an author and storyteller. He leads AI and data initiatives, drawing on a Master of Information and Data Science from UC Berkeley, a Master of Science in Computer Software Engineering, an MBA, and dual BS degrees in Computer Science and Electrical Engineering. His work focuses on deploying AI agents and large language models, building Python/ML pipelines from edge devices to the cloud, and translating advanced analytics into insights for engineering, finance, and real estate domains.
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Kurt Howerton
Director & CIO, School of Engineering
Current Role at StanfordDirector of Information Technology, School of Engineering
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Joseph Huang
Associate Director of Development, Major Gifts, School of Engineering - External Relations
Current Role at StanfordAssociate Director, School of Engineering
