Raffaello Camoriano

ERC sectors

SDG

• Best PhD Thesis Award of the Computational Intelligence Society Italy Chapter 2017 conferred by IEEE Computational Intelligence Society - Italy Chapter, Italy (2017)

• Other roles - IEEE Robotics and Automation Society, Stati Uniti (2024-)
• Effective member - ELLIS - European Laboratory for Learning and Intelligent Systems, Europeo (2022-)

• MACHINE LEARNING (2024-), Editorial board member
• IEEE ROBOTICS AND AUTOMATION LETTERS (2022-), Associate Editor of magazine or editorial series

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Master of Science

• Machine learning and Deep learning. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
• Machine learning and Deep learning. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

Projects funded by commercial contracts

• ECML-PKDD 2023 International Workshop ‘Adapting to Change: Reliable Learning Across Domains’, (2023-2023) - Responsabile Scientifico
  Sponsorship
• International Workshop ‘Learning Meets Model-based Methods for Manipulation and Grasping, (2023-2023) - Responsabile Scientifico
  Sponsorship

• Stephany Ortuno Chanelo. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Andrea Protopapa. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Leonardo Iurada. Programme in Intelligenza Artificiale (38^th cycle, 2022-in progress)

• Fani, Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco (In stampa)
  Resource-Efficient Personalization in Federated Learning with Closed-Form Classifiers. In: IEEE ACCESS. ISSN 2169-3536
  Contributo su Rivista
• Duan, Anqing; Liuchen, Wanli; Wu, Jinsong; Camoriano, Raffaello; Rosasco, Lorenzo; ... (2025)
  Learning Rhythmic Trajectories With Geometric Constraints for Laser-Based Skincare Procedures. In: IEEE TRANSACTIONS ON ROBOTICS, vol. 41, pp. 1956-1973. ISSN 1552-3098
  Contributo su Rivista
• Di Domenico, Dario; Boccardo, Nicolò; Marinelli, Andrea; Canepa, Michele; Gruppioni, ... (2024)
  Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning. In: IEEE ROBOTICS AND AUTOMATION LETTERS, vol. 9, pp. 9938-9945. ISSN 2377-3766
  Contributo su Rivista
• Fani', Eros; Camoriano, Raffaello; Caputo, Barbara; Ciccone, Marco (2023)
  Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models. In: Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS 2023, New Orleans, LA (USA), Dec 16 2023, pp. 1-19
  Contributo in Atti di Convegno (Proceeding)
• Mustich, F.; Festa, L. M.; Stesina, F.; Tiboni, G.; Camoriano, R. (2023)
  Point Cloud-Based Reinforcement Learning for Autonomous Navigation of a Robotic Rover on Planetary Surfaces. In: 74th International Astronautical Congress (IAC), Baku (AZE), 2-6 October 2023
  Contributo in Atti di Convegno (Proceeding)