Giuseppe Sanfilippo

Giuseppe Sanfilippo is a Full Professor of Probability (MAT/06) in the Department of Mathematics and Computer Science at the University of Palermo, Italy. He holds the position of FULL PROFESSOR (MATH-03/B) and maintains office hours on Thursdays from 9:00 to 11:00 at DMI, Via Archirafi 34, second floor, Room 213.

His academic appointments include teaching positions across multiple schools at the University of Palermo:

• School of Basic and Applied Sciences (Mathematics program)
• School of Basic and Applied Sciences (Artificial Intelligence program)
• Polytechnic School (Statistics for Data Analysis program)
• School of Basic and Applied Sciences (Computer Science program)

Professor Sanfilippo's research focuses on the theoretical foundations of probability theory, particularly exploring the intersection between probability, mathematical logic, and conditional reasoning. His work centers on conditional events, coherence principles, trivalent logics, and connexive logic. He has made significant contributions to understanding the probabilistic interpretation of Aristotelian syllogisms, entropy and extropy measures, and the mathematical structures underlying compound conditionals. His research has important applications in artificial intelligence, uncertainty management, and decision theory, with over two decades of publications showing consistent development of these themes.

Professor Sanfilippo has been actively involved in the academic community, organizing and participating in numerous international conferences including SUM (Scalable Uncertainty Management), ECSQARU (European Conferences on Symbolic and Quantitative Approaches to Reasoning with Uncertainty), and specialized workshops on connexive logic and probabilistic reasoning. His work bridges theoretical developments with practical applications in knowledge representation and reasoning under uncertainty, as evidenced by his extensive conference participation from 2014-2024 across Europe.

He mentors students through various academic programs and has supervised numerous theses in probability theory and its applications. His teaching portfolio includes core courses such as 'Calculation of Probabilities' across Mathematics, Artificial Intelligence, Statistics for Data Analysis, and Computer Science programs, as well as specialized courses like 'Uncertain Reasoning and Probability,' reflecting his commitment to both foundational education and advanced research training.

Professor Sanfilippo maintains an active research laboratory focused on probabilistic reasoning, where interdisciplinary teams explore the mathematical foundations of uncertainty and their applications in artificial intelligence and decision systems. His current research agenda includes extending coherence principles to complex conditional structures and developing scalable methods for uncertainty management in AI systems, as demonstrated by his upcoming conference chair position for SUM 2024 in Palermo.