Annalisa Appice

Annalisa Appice is an Assistant Professor at the Department of Computer Science, University of Bari, Italy. She holds a Ph.D. in Computer Science from the same institution, with her thesis focusing on 'Learning Relational Model Trees'. Her international research experience includes positions at the University of Bristol (UK) and Jozef Stefan Institute (Slovenia).

Her research spans:

• Knowledge discovery and data mining
• Big data analytics and stream data mining
• Spatio-temporal data mining and remote sensing analysis
• Network data analysis and process mining
• Artificial Intelligence applications in cybersecurity and environmental monitoring

She develops innovative machine learning approaches including deep neural networks, vision transformers, and ensemble methods for applications ranging from forest health monitoring to cybersecurity threat detection.

Appice has significant leadership experience in the academic community, having served as Program co-Chair for major conferences including DS 2020, ECML-PKDD 2015, and ISMIS 2017. She regularly contributes to program committees of premier conferences such as AAAI, IEEE ICDM, KDD, ICML, and IJCAI. As an editorial board member for the Journal of Intelligent Information Systems, she oversees publications in intelligent information systems. She has also organized six international workshops and guest-edited three special journal issues.