Georgios Anagnostopoulos

Georgios C. Anagnostopoulos is a tenured Associate Professor at Florida Institute of Technology's College of Engineering and Science, Department of Electrical Engineering and Computer Science. He leads the Machine Learning Research Group and co-directs the Center for Advanced Data Analytics & Systems (CADAS).

• Ph.D. in Electrical Engineering (University of Central Florida, 2001)
• M.S. in Electrical Engineering (University of Central Florida, 1997)
• Eng. Dipl. in Electrical Engineering (University of Patras, Greece, 1994)

His research spans foundational AI/ML with applications in social network dynamics, environmental monitoring, and cybersecurity. Key contributions include:

• Information diffusion modeling via self-exciting processes
• Deep learning for nuclear explosion detection and flood hazard assessment
• Transformer-based edge computing for environmental sound classification
• Multi-task learning with Rademacher complexity analysis
• Multi-domain cyber-physical systems analysis

Recent publications focus on optimization algorithms for social network analysis, flood prediction in ungauged basins, and acoustic gunshot detection systems. He has secured over $3 million in federal funding, including grants from DARPA and the Defense Threat Reduction Agency.

Scientific awards held by his mentees include:

• Barry Goldwater Scholarship (Joey Velez-Ginorio)
• NSF Graduate Research Fellowship (multiple recipients)
• Frost Scholarship (Oxford University)
• UCF Distinguished Undergraduate Researcher Award

He has advised over 8 graduate students, including Ph.D. researchers in machine learning and software engineering now employed at Google, Twitter, Expedia Group, and pursuing doctoral studies at University of Pennsylvania. His group maintains active collaborations with Air Force Research Laboratory and University of Central Florida.