Group Members
We are looking for new PhD students, Postdocs, and Master students to join the team (see openings) !
Director
Roberto Capobianco
Bio: I am a Research Scientist at Sony AI and Coordinator of the Knowledge, Reasoning and Learning Research Group inside the Ro.Co.Co Lab at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG), Sapienza University of Rome. I am also a freelancer, consulting for companies and start-ups on artificial intelligence, machine learning and robotics. My research is focused on reinforcement learning, AI explainability, robot control and knowledge representation.
PostDocs and PhD Students
Elena Umili
PostDoc Student
Bio: I am a PostDoc at Sapienza University of Rome. I’m interested in Deep Learning, Deep Reinforcement Learning and Neuro-Symbolic Integration. In particular, my research focuses on bridging the gap between neural networks representation and symbolic logical models, to enhance knowledge transfer, generalization and explainability.
Giulia Ciabatti
PhD Student
Bio: I am a PhD student at Sapienza, University of Rome. My interests include AI and Robotics, Aerospace Systems, and Astrophysics. My research is focused on developing techniques for interpretability and performance enhancement of Deep Learning, in particular for Deep Reinforcement Learning, by means of a Physics-Informing approach. I am especially interested in developing my research in the fields of aeronautic and space exploration systems, mobile robotics, and autonomous manned and unmanned vehicles. I have a B. Sc. in “Aerospace Engineering” and a M. Sc. Degree in “Artificial Intelligence and Robotics”, both earned at Sapienza University.
Alessio Ragno
PhD Student
Bio: I am a Ph.D. student in Artificial Intelligence under the supervision of prof. Roberto Capobianco. I am interested in the application of AI to different scientific fields and I think that Explainable AI could play an essential role for this purpose. My Ph.D. project consists in developing model-specific XAI methods, using a topology-based approach, in order to identify and learn data representations able to provide human-interpretable explanations of the neural network predictions.I have an M.Sc. degree in AI & Robotics and a B.Sc. degree in Computer and Control Engineering. I have also some background in the application of AI to chemistry and drug discovery gained through abroad experience at the University of North Carolina and collaborations with the Pharmaceutical Chemistry and Technology Department at the Sapienza University of Rome.
Michela Proietti
PhD Student
Bio: I am a Ph.D. student in Artificial Intelligence at Sapienza University of Rome. I previously obtained a B.Sc. in Computer and Control Engineering and a M.Sc. in Artificial Intelligence and Robotics both from Sapienza University. I am interested in explainable AI, representation learning, reinforcement learning and their close link with neuroscience. Starting from findings from the neuroscientific domain, my research is focused on the use of XAI methods to study how memorization of the input is influenced by its representation in order to address the problem of catastrophic forgetting in continual learning.
Andrea Fanti
PhD Student
Bio: I’m a PhD student in Engineering in Computer Science at Sapienza University of Rome. Currently, my research focuses on emergent behaviours in multi-agent Reinforcement Learning environments and other Reinforcement Learning exploration techniques. More broadly, I am interested in how to continually generate complexity and novelty in Artificial Intelligence, and as such I am also interested in Novelty Search and various forms of Evolutionary Computation. My background includes a master’s degree in Artificial Intelligence and Robotics and a bachelor’s degree in Engineering in Computer Science obtained at Sapienza University of Rome.
Federico Di Valerio
PhD Student
Bio: I am a Ph.D. student at Sapienza University of Rome, with research interests in Continual Learning, eXplainable AI, and their intersections with neuroscience and cognitive science. I hold both a Bachelor’s degree in Computer and Control Engineering and a Master’s degree in Artificial Intelligence and Robotics from Sapienza University. My current research focuses on improving Continual Learning systems by drawing inspiration from brain mechanisms to address challenges such as catastrophic forgetting and computational efficiency.
Master Students
Graduated PhD Students
Biagio La Rosa, PhD in Engineering in Computer Science, Graduation: Spring 2024
Elena Umili, PhD in Engineering in Computer Science, Graduation: Spring 2023
Past students
Federico Di Valerio, M.Sc. in AI & Robotics, Graduation: Fall 2024
Isabella Claire Adriani, M.Sc. in AI & Robotics, Graduation: Fall 2024
Alessia Borghini, M.Sc. in AI & Robotics, Graduation: Fall 2024
Caterina Borzillo, M.Sc. in AI & Robotics, Graduation: Fall 2023
Andrea Fanti, M.Sc. in AI & Robotics, Graduation: Fall 2022
David Esteban Imbajoa Ruiz, M.Sc. in AI & Robotics, Graduation: Spring 2022
Giulia Castro, M.Sc. in AI & Robotics, Graduation: Spring 2022
Roberto Aureli, M.Sc. in AI & Robotics, Graduation: Winter 2022
Riccardo Caprari, M.Sc. in AI & Robotics, Graduation: Fall 2021
Roberto Gallotta, M.Sc. in AI & Robotics, Graduation: Fall 2021
Giulia Ciabatti, M.Sc. in AI & Robotics, Graduation: Fall 2021
Sayo Makinwa, M.Sc. in AI & Robotics, Graduation: Summer 2021
Alessio Ragno, M.Sc. in AI & Robotics, Graduation: Spring 2021
Dylan Savoia, M.Sc. in AI & Robotics, Graduation: Spring 2021
Luca Santilli, M.Sc. in AI & Robotics, Graduation: Spring 2021
Andres Fernando Arciniegas, M.Sc. in AI & Robotics, Graduation: Spring 2021
Sanni Oluwatoyin Yetunde, M.Sc. in AI & Robotics, Graduation: Spring 2021