Daniel Schwartz

Dr. Daniel G. Schwartz is a Professor in the Computer Science Department at Florida State University (FSU). He holds a B.A. in Mathematics from Portland State University (1969), an M.S. in Mathematics from Simon Fraser University (1974), and a Ph.D. in Systems Science from Portland State University (1981). His career includes roles as Assistant Professor at Binghamton University (1981–1983) and Florida State University (1984–1989), and Associate Professor at FSU (1989–2021) before becoming a full Professor in 2021.

Dr. Schwartz's research focuses on artificial intelligence, formal methods, and autonomous systems. Key areas include nonmonotonic reasoning, fuzzy logic, and applications to mission planning for autonomous vehicles (e.g., driverless cars, unmanned naval systems). He has pioneered work on dynamic reasoning systems, qualified syllogisms, and agent-oriented epistemic reasoning. His recent projects involve secure communications for unmanned aerial vehicles (funded by the U.S. Navy) and path planning for autonomous surface/underwater vehicles with doctoral student Mohamad Imran Chowdhury.

Teaching includes courses on artificial intelligence, Java programming, databases, and theoretical computer science (e.g., automata theory, formal languages). His work on network security includes a U.S. Army-funded project (2001–2006) developing case-based reasoning systems for intrusion detection.

His research outputs span over 20 years, with contributions to robotics, formal logic, and fuzzy systems. Current projects emphasize autonomous vehicle navigation and event possibility theory for decision-making under uncertainty.