School of Engineering
Showing 161-170 of 539 Results
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Julie Greicius
Associate Dean for Communications and Alumni Affairs, School of Engineering - External Relations
BioJulie Greicius is Associate Dean of Communications and Alumni Affairs for Stanford Engineering. She was previously Senior Director of External Communications for Stanford Medicine, where she led media relations, crisis communications/issue management, and trademark name use. An award-winning writer and editor, she joined the School of Medicine as media relations manager in early 2018. In her prior role, she was editorial director for Stanford Medicine Children’s Health, where she developed and managed stories across all platforms, assisted in the rebranding and website renewal for Stanford Children’s Health, and directed and managed brand voice and messaging. Her career with Stanford Medicine began in 2006 when she joined Stanford Children's as a freelance writer. She has since written numerous articles for Stanford Medicine magazine and other Stanford Medicine publications. She has an MFA in creative nonfiction from Columbia University.
'And yet, you try'
A father's quest to save his son
https://stanmed.stanford.edu/2016fall/milan-gambhirs-li-fraumeni-syndrome.html
'The girl who loves science'
The FAST program, led by Stanford graduate students, sparks a passion in teens for science careers
https://stanmed.stanford.edu/2019spring/inspiring-teens-pursue-science-careers.html
Despite MS, Eric Sibley prevails
Eric Sibley was diagnosed with multiple sclerosis just as his career in pediatric gastroenterology was taking off. But in his unique circumstances, he unlocked his potential as an academic advisor and role model.
https://med.stanford.edu/news/all-news/2019/01/sibley-navigate-own-health-challenges-to-reach-heights-of-25-year-career.html
Hear and now
Better, less costly treatments for hearing loss coming soon
https://stanmed.stanford.edu/listening/treatment-hearing-loss-cusp-transformation.html
Tomorrow’s hospital today
Advanced technology and a design that puts well-being first come together in the new Stanford Hospital
https://stanmed.stanford.edu/2019fall/new-stanford-hospital.html
Stronger together
A shared vision of Stanford Medicine’s future
https://stanmed.stanford.edu/2018summer/shared-vision-future.html
Switching Course
Untangling a Birth Defect Decades Later
https://sm.stanford.edu/archive/stanmed/2014spring/article4.html
Labor Day
The C-Section Comes Under Review
https://sm.stanford.edu/archive/stanmed/2013fall/article5.html
Stanford Children's Health: Healthier, Happy Lives blog
https://healthier.stanfordchildrens.org/en/author/julie-greicius/ -
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.
