Corrado Loglisci

Corrado Loglisci is an Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research focuses on Temporal Data Mining, Machine Learning, and Quantum Computing, with applications in bioinformatics, medical informatics, and cybersecurity. He earned his Ph.D. in Computer Science with a thesis on temporal projection in longitudinal data.

• Research Highlights: Temporal Learning, Textual Data Mining, Quantum-Classical Hybrid Systems
• Collaborations: IRSTEA Research Institute (France), Aristotle University of Thessaloniki (Greece)

His publications address dynamic network analysis, emotion detection in social media, and quantum-enhanced classification. He contributes to program committees and journal editorial work, including a special issue on Mining Complex Patterns in the Journal of Intelligent Information Systems.

Notable contributions include the jKarma framework for change detection and studies on concept drift robustness in intrusion detection systems. His work spans European/National research projects, leveraging machine learning for tasks like mobile crowd sensing trustworthiness prediction (2020) and investor behavior analysis (2023-2025).