معرفی
Nicola Tonellotto is a researcher at the University of Pisa, Department of Information Engineering, focusing on Information Retrieval, Federated Learning, and Edge Computing. He has collaborated extensively with institutions like CNR, City University of London, and Sapienza University of Rome.
- Key research areas: Query Processing, Conversational Search, Dense Retrieval, Distributed Learning
His recent work addresses challenges in Sequential Recommender Systems, Cross-Modal Query Suggestion, and Energy-Aware Resource Management for FaaS platforms. Notable contributions include FedCMD for emotion recognition and ColBERT-PRF for semantic relevance feedback.
As a coauthor, he has advanced GPU-based parallelization for tree ensembles and SIMD extensions to accelerate document scoring. He also explores reproducibility in IR research, emphasizing scientific integrity.