Stanford University
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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. -
Annie Han
Assistant Director, Faculty Professional Development Programs, School of Medicine - Office of Academic Affairs
Current Role at StanfordAssistant Director, Faculty Professional Development Programs
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Bin Han
Clinical Professor, Radiation Oncology - Radiation Physics
Current Research and Scholarly InterestsDevelopment of an advanced EPID-based dosimetric solution
Ultrasound system for image guided prostate cancer treatment,
Depth sensing and 3D-printing techniques for total body irradiation
AI applications in predicting treatment effectiveness and cancer recurrence -
Ed Han
Staff, Graduate School of Business - Academic Administration
Contingent Otp 3, Graduate School of Business - Other FacultyBioThis is updated at least once every five years and provides a glimpse into my professional background: https://www.linkedin.com/in/edhan/.
More fluid are the things I've been and currently am passionate about, please reach out if any of it resonates. Always interested in helping young or new entrepreneurs, playing racket sports often with my wife, climbing, elderly dog is the only baby living at home now and I'm obsessed, worrying about and supporting my two grown kids, vibe coding and AI fluency, early education equity, super motivated and young student athletes, helping with overwhelming problems in Kenya.