William Gates Building
15 JJ Thomson Avenue
Camgbridge CB3 0FD, UK
I am a Post-Doctoral Research Associate at the Computer Laboratory, University of Cambridge, working with Prof Hatice Gunes at the Affective Intelligence and Robotics (AFAR) Lab. My research focusses on Continual Learning for Social and Affective Robots, aimed towards enabling lifelong adaptability in robots operating in real and open-world settings. In particular, my work focuses on embedding robots with a personalised and continually adaptive understanding of human behaviour, allowing them to learn socially and contextually appropriate behaviours in human-centred environments.
My current post-doctoral work, funded by Google under the GIG Grant, focuses on
Federated Continual Learning of Socially Appropriate Robot Behaviours where I am exploring how social robots can adapt to differences in social norms, learning from each others’ experience, in a federated manner.
I completed my PhD at Trinity Hall, University of Cambridge. My doctoral work titled, Continual Learning for Affective Robotics was funded by the EPSRC International Doctoral Scholarship and the Premium Research Studentship of the Computer Lab, University of Cambridge. My other research interests include Deep Learning, Computer Vision, Neuro-inspired AI, and Human-Robot Interaction.
I completed my MSc in Intelligent Adaptive Systems from Universität Hamburg where I was supervised by Prof Dr Stefan Wermter. My MSc dissertation titled, Modelling Affective Cores for Behaviour Modulation in Social Robots, advised by Dr Pablo Barros, focused on embedding intrisic affective motivations in social robots as an Affective Core that enables different personalities in their behaviour modelling in Human-Robot collaborative tasks.
|Dec 2, 2023
|Happy to announce the Causal-HRI Workshop to be held at ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024.
|Dec 2, 2023
|Happy to announce the Leap-HRI Workshop to be held at ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2024.
|Jun 2, 2023
|Paper accepted at IEEE RO-MAN 2023: Affective Computing for Human-Robot Interaction Research: Four Critical Lessons for the Hitchhiker.
|May 10, 2023
|New preprint on Continual Facial Expression Recognition: A Benchmark.
- Continual Learning for Affective Robotics: Why, What and How?In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020
- Learning Socially Appropriate Robo-Waiter Behaviours through Real-Time User FeedbackIn Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 2022
- Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit RecognitionIEEE Transactions on Affective Computing, 2022
- Latent Generative Replay for Resource-Efficient Continual Learning of Facial ExpressionsIn 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), 2023
- Towards Causal Replay for Knowledge Rehearsal in Continual LearningIn Proceedings of The First AAAI Bridge Program on Continual Causality, 2023
- Continual Facial Expression Recognition: A Benchmark2023