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Alessandro Suglia Download CV 
Alessandro Suglia is an Assistant Professor at the School of Informatics, University of Edinburgh. I am also a member of the ELLIS network and a GAIL Fellow.
Interests
- Generative AI for Robotics and Embodied AI
- Multimodal Learning
- Conversational AI
Education
PhD in Robotics and Autonomous Systems
Heriot-Watt University & University of Edinburgh
MRes in Robotics and Autonomous Systems
Heriot-Watt University & University of Edinburgh
MSc in Computer Science
University of Bari, Aldo Moro
BSc in Computer Science
University of Bari, Aldo Moro
📚 My Research
Alessandro’s research focuses on designing artificial agents that learn language by leveraging sensory information derived from interacting with the world and with other agents. He is an Assistant Professor at the School of Informatics, University of Edinburgh. Alongside several academic collaborations, he also completed research collaborations with Amazon Alexa AI, Meta AI, and the European Space Agency focused on developing innovative Multimodal Generative AI models for embodied and situated human-robot interaction tasks.
Featured Publications
Recent Publications
Alessandro Suglia, Claudio Greco, Katie Baker, Jose L. Part, Ioannis Papaioannou, Arash Eshghi, Ioannis Konstas, Oliver Lemon
(2024).
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding.
Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024.
Alessandro Suglia, Claudio Greco, Katie Baker, Jose L. Part, Ioannis Papaioannou, Arash Eshghi, Ioannis Konstas, Oliver Lemon
(2024).
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding.
CoRR.
Malvina Nikandrou, Georgios Pantazopoulos, Nikolas Vitsakis, Ioannis Konstas, Alessandro Suglia
(2024).
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts.
CoRR.
Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas, Alessandro Suglia
(2024).
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation.
CoRR.
Daniel Hernández García, Marta Romeo, Christian Dondrup, Nancie Gunson, Angus Addlesee, Weronika Sieinska, Oliver Lemon, Alessandro Suglia, Matthew Peter Aylett
(2024).
Human - Large Language Model Interaction: The dawn of a new era or the end of it all?.
Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2024, Boulder, CO, USA, March 11-15, 2024.