Summary
Hao Zhen is a postdoctoral researcher at the University of Georgia who applies AI, machine learning, and multimodal models to make transportation systems safer and infrastructure smarter. Over eight years he has led federally funded projects that turn messy, multi-source mobility and sensor data into operational tools—from statewide sensor placement and rural incident risk models to fleet coordination and healthcare accessibility analyses. He blends deep technical work (graph neural nets, gradient-boosting, kriging, Eco-CACC algorithms) with stakeholder-facing impact, regularly briefing DOT directors and delivering production-ready recommendations. Recently he has pushed into LLM fine-tuning, reinforcement learning, and vision-language research to build scalable, LLM-powered recommendation systems for industry and agencies. Hao is equally invested in mentoring students and organizing data competitions, reflecting a practical, translational mindset anchored in both academic rigor and real-world deployment.
8 years of coding experience
4 years of employment as a software developer
University of Georgia
Master of Management, Technology Economics and Management, Master of Management, Technology Economics and Management at North China Electric Power University