News
Associate Editor of the IEEE Open Journal of Computer Society:
IEEE OJ Computer Society Editorial BoardF. Rundo, A. Messina, C. Pino, M. Calabretta, G. Castagnolo, S. Battiato "Attention‑Enhanced Convolutional Deep Architecture with Adaptive Jacobian Regularization for Joint Multi‑Modal Optical and X‑Ray Screening of Silicon‑Carbide Power Devices" has been accepted at the International Joint Conference on Neural Networks (IJCNN) 2025.
About Me
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 worked as a Senior Technical Staff Researcher at the R&D Division of STMicroelectronics, Catania.
Currently, he is a Tenure-Track Researcher and Assistant Professor at the Department of Mathematics and Computer Science, University of Catania.
He has obtained the National Scientific Qualification (ASN) for Associate Professor in Computer Science (SSD 01/B1).
He has obtained the National Scientific Qualification (ASN) for Full Professor in Computer Science Engineering (SSD 09/H1).
He is an Associate Editor of the IEEE Open Journal of the Computer Society.
He has co-authored over 110 scientific contributions and several international patents in the field of Deep Learning-based applications.
He has extensive experience in national and European-funded research projects in the field of AI-driven solutions (e.g., ADAS+, NEUROKIT2E, R-PODID, ARCHIMEDES, REACTION, ESC4DRES, EdgeAI, EdgeAI-TRUST).
He served as Co-organizer and/or Program Chair of several workshops in conjunction with key AI/Computer Vision conferences such as CVPR, ICCV, ECCV.
He is a member of the Computer Science Ph.D. Scientific Board at the Department of Mathematics and Computer Science, University of Catania.
He is also a member of the National Artificial Intelligence Ph.D. Scientific Board – University "Campus Bio-Medico" of Rome.
Teaching
- A.Y.: 2024/2025 - "Reti di Calcolatori" - Canale: M.Z: Reti di Calcolatori - Web
- A.Y.: 2024/2025 - "Principi di Matematica, Informatica e Fisica" - Canale: 3,4 Major past teaching assignments:
- Speaker for the seminar entitled: “Understanding Perceptive Deep Learning and Generative AI in Automotive Applications”, PhD courses in “Engineering and Information Technology for Structural and Environmental Monitoring” and “Automotive Engineering for Intelligent Mobility” University of Bologna – 16.04.2024
- Speaker for the seminar entitled: “Perceptive Explainable Deep Learning for Advanced Modeling and Monitoring of Power Devices”, PhD in Mechatronics and Mechanical Product Innovation Engineering, Department of Industrial Systems Engineering and Management – University of Padova (PD) – 20.03.2024
- Speaker for the seminar entitled: “Advanced Perceptive Deep Learning for Predictive maintenance in Power Electronics”, AEIT Seminar Catania office, Aula Magna Technological Center DIEEI, University of Catania,2024
- Teacher at the Computer Science Ph.D - Department of Math and Computer Science-University of Catania
- Scientific teacher of the course: “Advanced algorithms for medical images analysis” – II Level MASTER on the topic “Molecular imaging and radiopharmaceuticals: from preclinical to clinical” - Department of Biomedical and Biotechnological Sciences of the University of Catania
- Speaker - topic “Artificial intelligence systems for advanced predictive reliability of SiC power devices” – scheduled at the Ph.D. School in “Automotive Electronics”, Association of the Italian Society of Electronics / Department of Computer Engineering, Modeling, Electronics and Systems of the University of Calabria
Scientific Roles
Current and past (main) scientific roles: Member of the Computer Science Ph.D. Scientific Board at the Department of Math. and Computer Science, University of Catania;
Member of the National Artificial Intelligence Ph.D. Scientific Board – University "Campus Bio-Medico" of Rome;.
Member of the IPLAB Group @ Department of Math. and Computer Science, University of Catania;
Associate Editor of the IEEE Open Journal of Computer Society;
Associate Editor of the “IET Networks” Journal (2022-2024);
Associate Editor of the “IET Image Processing” Journal (2021-2022);
Academic Editor of the “Wiley Applied Computational Intelligence and Soft Computing” Journal
Topical Advisory Panel Member of the “Drones” Journal;
Topical Editor of the "Electronics" Journal;
Guest Editor of the "Springer Journal of Big Data ";
Research-Topic Guest Editor of the "Frontiers in Neuroinformatics/Frontiers in Neurorobotics" Journals;
Guest Editor of the "PeerJ Computer Science" Journal;
Program-Chair: Workshop@ECCV 2022: “AI-enabled Medical Image Analysis: Digital Pathology & Radiology/COVID19”;
Co-Organizer: Workshop@ICCV 2021: “AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D)”;
Program Chair: Workshop@CVPR 2024: “Domain adaptation, Explainability and Fairness in AI for Medical Image Analysis (DEF-AI-MIA)”;
Technical Program Committee Member "CompSysTech Conference, 2020-2024”;
Technical Program Committee Member "IEEE-EBMS BHI Conference, 2022”;
Technical Program Committee Member "MICAD Conference,2021”;
Technical Program Committee Member "IEEE ICCSS, 2022”;
Session Chair: "IEEE ICCSS, 2022”;
Keynote Speaker: "IMPROVE Conference, 2023”;
Scientific Co-Supervisor of the "AI4Industry Research Project”;
Scientific Dissemination
See my SCOPUS and SCHOLAR profile(s).
Research Projects
Overview of the main Funded Research Projects:
AI4Industry
AI applications in industrial contexts and collaborations: AI4Industry-Link
Research Interests
Bio-inspired computational models, Advanced Deep learning in non-conventional geometric spaces, Perceptive Deep Learning in Industrial/Automotive applications, GenerativeAI, Medical Imaging, Neuro-Modulation in Continual Learning framework.
Contact
Email: francesco.rundo@unict.it
Phone: +39 095 7383046
Office: N. 361 - DMI, I Build, II Floor