Francesco Rundo

Francesco Rundo received his M.Sc. degree in Computer Science Engineering and a Ph.D. in Applied Mathematics for Technology from the University of Catania, Italy. He previously served as a Senior Technical Staff Research Manager at the R&D Division of STMicroelectronics, Catania. Currently, he is a Tenure-Track Researcher at the Department of Mathematics and Computer Science, University of Catania, where he teaches Principles of Mathematics and Computer Science and Computer Networks. Dr. Rundo has obtained the National Scientific Qualification (ASN) for Associate Professor in both Computer Science Engineering (SSD 09/H1) and Computer Science (SSD 01/B1). He has co-authored over 110 scientific contributions, including publications in international journals, peer-reviewed conference proceedings. He has extensive experience in national and European-funded research projects in the field of AI-driven solutions, serving as a Researcher, Work Package (WP) Leader, and Unit Coordinator (OR Responsible) in several funded initiatives (PON Programs, HORIZON, KDT JU, Chips JU etc..)  Dr. Rundo is also deeply involved in Ph.D. courses, where he has delivered lectures on AI methodologies, deep learning, and advanced computational modeling. He is the co-inventor of several international patents in the domain of Artificial Intelligence for industrial applications. He actively participates in technical program committees as well as workshop or conference chair,  program chair and co-organizer. He has also co-organized Special Issues in several scientific journals, focusing on AI applications in the financial-legal, industrial, and medical fields. Dr. Rundo previously served as an Associate Editor for IET Image Processing and IET Networks. He is currently an Associate Academic Editor at Hindawi Applied Computational Intelligence and Soft Computing, an Associate RT Editor for Frontiers in Computer Science, and a Topic Editor for the Electronics journal. He is a member of the Computer Science Ph.D. Scientific Committee at the Department of Mathematics and Computer Science, University of Catania, and a member of the National Ph.D. Program Committee in Artificial Intelligence.  His primary research interests include Bio-inspired computational models, Advanced and perceptual deep learning, Embedded systems for deep learning algorithms, Mathematical modeling and AI-driven solutions for automotive, industrial, financial-legal, and forensic applications.