Guangmo Tong

Guangmo Tong serves as an Associate Professor at the University of Delaware, conducting research through the Computational Data Science Lab. His work bridges theoretical computer science with real-world applications in critical infrastructure and information systems.

His academic background includes:

• PhD from The University of Texas, Dallas (2018)
• Bachelor of Mathematics and Applied Mathematics from Bejing Institute of Technology (2013)

Dr. Tong's research focuses on combinatorial optimization and learning method design within artificial intelligence. He develops computational frameworks for social network analysis—particularly online information diffusion and misinformation prevention—and cyber-physical systems including real-time autonomous operations. His methodologies address scalability challenges in large-scale data environments while maintaining theoretical rigor.

He leads the Computational Data Science Lab, which develops novel algorithms for data-intensive systems with applications in national security, public health, and autonomous technologies. The lab emphasizes both theoretical foundations and practical implementations for time-sensitive decision-making scenarios.