Guang Wang

Dr. Guang Wang is an Assistant Professor at the Department of Computer Science at Florida State University (FSU). He holds a Ph.D. in Computer Science from Rutgers University and was a Postdoctoral Research Associate at MIT. His research focuses on cyber-physical systems, spatiotemporal data mining, and human-centered AI, addressing societal challenges in mobility, energy, disaster resilience, and healthcare. He leads projects on fairness-aware ride-hailing systems, equitable post-disaster power restoration, and AI-enhanced logistics systems.

Education:

• Ph.D. in Computer Science, Rutgers University
• Postdoctoral Research, MIT (with Prof. Sandy Pentland)

Research Interests:

• Generative AI for trajectory prediction and logistics
• Trustworthy machine learning in urban systems
• Fairness-aware optimization for mobility and energy systems
• Data-driven decision-making in disaster response

Recent Article Trends: Focus on fairness-aware algorithms, spatiotemporal AI, and large-scale graph mining. Recent work includes optimizing post-disaster power restoration, improving ride-hailing fairness, and developing generative models for asynchronous trajectories.

Scientific Awards:

• FSU CS Department Faculty Research Award (2025)
• National AI Research Resource Pilot Award (2024)
• CPS Rising Star (2022)
• Outstanding Paper Award at IEEE RTSS 2021

Advising & Grants:

• Advising 4 PhD, 2 MS, and 3 undergraduate students in AI and data science
• Lead PI on NSF-funded projects on sustainable mobility and disaster resilience
• Recipient of FSU Sustainability & Climate Solutions Grant ($150K)

Labs & Collaborations: Directs the EV Simulation Lab and collaborates on projects like the National AI Research Resource. Leads the Data Science for Smart Cities initiative at FSU.