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Federico Pennino

Federico Pennino

Researcher · University of Bologna

Department of Computer Science and Engineering (DISI)

Email/Google Scholar/DBLP/GitHub/Hugging Face/UniBo

I am a researcher in machine learning, with a particular focus on deep learning applications in racing and the use of machine learning techniques in industrial settings. I currently collaborate with Yamaha Motor Racing as part of my research project, developing AI-based solutions for motorsport applications.

I earned my PhD at the Department of Computer Science and Engineering (DISI), where my research focused on applying deep learning techniques to the automotive domain. My academic background includes a BSc in Computer Science from the University of Pisa (2020) and a double degree completed in 2022 at the University of Bologna (Computer Science) and Bielefeld University (Intelligent Systems).

Projects

Conference RankCodeGraph

Publications

Full list on DBLP ↗

Journal articles and conference papers. See also Google Scholar.

2026

  1. From Reasoning to Code: GRPO Optimization for Underrepresented Languages

    Federico Pennino, Bianca Raimondi, Massimo Rondelli, Andrea Gurioli, Maurizio Gabbrielli

    TPLP 2026·paper

  2. MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings

    Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli

    AAAI 2026·paper

  3. Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting

    Federico Pennino, Maurizio Gabbrielli

    SAC 2026·paper

2025

  1. A Dual-Encoder framework for Enhancing Driving Behavior and Mission Profiling Characterization

    Federico Pennino, Davide Sette, David Attisano, Maurizio Gabbrielli

    IJCNN 2025·paper

  2. Contextual Contrastive Learning for Rider Behavior Modeling Using Motorcycle Sensor Data

    Federico Pennino, David Attisano, Davide Sette, Maurizio Gabbrielli

    ITSC 2025·paper

  3. Trajectory-Embedded Matryoshka Representation Learning for Enhanced Similarity Analysis

    Federico Pennino, Andrea Gurioli, Maurizio Gabbrielli

    ESANN 2025·paper

2022

  1. Sentiment lexicons or BERT? A comparison of sentiment analysis approaches and their performance.

    Grisot, Giulia, Rebora, Simone, Herrmann, J. Berenike, Pennino, Federico

    conference paper 2022·paper

Academic background

PhD
Computer Science and EngineeringUniversity of Bologna
2022
MSc · Computer Science / Intelligent SystemsUniversity of Bologna & Bielefeld UniversityDouble degree
2020
BSc · Computer ScienceUniversity of Pisa

University profile and curriculum vitae ↗

Contact

Department of Computer Science and Engineering
University of Bologna
Mura Anteo Zamboni 7, 40126 Bologna, Italy