Summary
Nicola Di Mauro is an Associate Professor at the University of Bari with over two decades of academic experience and 11 years framed as professional experience in machine learning and related fields. His research focuses on probabilistic graphical models, deep learning, inductive and probabilistic inductive logic programming, statistical relational learning, and stochastic local search, bridging symbolic and statistical AI. He progressed from PhD student to assistant professor and now associate professor at the same institution, demonstrating deep institutional commitment and continuity in research and teaching. Nicola’s work emphasizes integrating logic-based representations with probabilistic reasoning, an area that supports interpretable AI and complex relational domains. Based in Bari, Italy, he combines rigorous theoretical foundations with practical algorithmic development, mentoring the next generation of researchers in SRL and PILP.
11 years of coding experience
16 years of employment as a software developer
Università degli Studi di Bari
English