Riccardo Guidotti

Riccardo Guidotti is an Assistant Professor (RTD-B) at the Department of Computer Science, University of Pisa, and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group with the Information Science and Technology Institute of the National Research Council (ISTI-CNR) in Pisa, Italy. His research spans explainable AI, personal data mining, clustering, and transactional data analysis.

• PhD in Computer Science, University of Pisa
• Master's Degree in Computer Science, University of Pisa (110/110 cum laude)
• Bachelor's Degree in Computer Science, University of Pisa (110/110 cum laude)

His research interests include Explainable AI, Personal Data Mining, Clustering, and Transactional Data Analysis. He focuses on making AI systems interpretable and understandable, especially through local and global explanation techniques applied to behavioral and mobility data. His work bridges theoretical models with real-world applications in retail, mobility, and social networks.

The recent publications highlight a strong trend in explainability of black-box models, with emphasis on rule-based and exemplar-driven methods. His work extends to temporal pattern discovery, privacy risk assessment, and software engineering analytics, demonstrating interdisciplinary reach across AI, data science, and human-centric systems.

Scientific awards received:

• IBM Fellowship Award (2014)
• ISTI Young Researcher Award (2016, 2017, 2018, 2019)
• Next Generation Data Scientist Award (NGDS 2018)

He has contributed to teaching courses such as Data Mining, Logic Programming, and Advanced Data Mining topics. He has been involved in major EU-funded projects including SoBigData++, XAI, AI4EU, and HumanE-AI-Net, where he contributes to advancing explainable and ethical AI. He collaborates extensively within the KDDLab, focusing on knowledge discovery and data-driven decision-making. His lab work emphasizes scalable, interpretable, and socially aware data mining systems.