Gang Wang
Summer Intern @Corradino
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WORK HISTORY
Summer Intern @Corradino
Developing AI agent frameworks for autonomous analysis of complex transportation datasets. Designing LLM-powered systems that intelligently respond to user queries and automate multi-modal data processing workflows.
EDUCATION
Tongji University
Master's degree
Dalian Jiaotong University
Bachelor's degree
Stony Brook University
Civil Engineering
Arizona State University
Doctor of Philosophy - PhD
ABOUT GANG WANG
PhD candidate in Systems Engineering at Arizona State University, specializing in multi-agent AI systems, cooperative control, and autonomous vehicle technologies. My research integrates LLMs with multi-vehicle coordination to advance next-generation transportation systems, emphasizing safety, efficiency, and scalability. Currently developing AI agent frameworks for transportation data analysis as a Research Intern at The Corradino Group, where I design LLM-powered systems for autonomous decision-making and multi-modal data processing. My research contributions span cooperative trajectory planning, real-time control strategies for vehicle fleets, and optimization-based frameworks for autonomous systems. I have authored 10+ peer-reviewed publications and led projects involving up to 50-agent coordination systems. Recognition & Background: DSCD Rising Star and Student Stellar Award recipient (ASME) National Scholarship and China Post-Graduate Mathematical Contest in Modeling (National Second Prize) M.S. Transportation Engineering, Tongji University (2021) B.S. Vehicle Engineering, Dalian Jiaotong University (2018) Passionate about bridging AI research with real-world transportation challenges, I\'m committed to developing scalable, intelligent systems that transform how we approach mobility and autonomous coordination.
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