- Full Professor of Affective Intelligence and Robotics
- EPSRC Fellow
- Staff Fellow of Trinity Hall Cambridge
Biography
Prof Gunes is a leader in affective computing and affective robotics. She is a former President of the Association for the Advancement of Affective Computing (AAAC) and was a named Faculty Fellow of the Alan Turing Institute – UK’s national centre for data science and artificial intelligence (2019-2021).
As a postdoctoral researcher at Imperial College London, she played a crucial role in the EU SEMAINE project, that created the world's first publicly available multimodal, fully autonomous, and real-time human-agent interaction system ( the SAL system). Attentive to user affect and nonverbal expressions, the project developed novel nonverbal audiovisual human behaviour analysis and multimodal agent behaviour synthesis capabilities, and won the Best Demo Award at IEEE ACII’09.
Now directing the Affective Intelligence and Robotics Lab (AFAR Lab) at the University of Cambridge’s Department of Computer Science and Technology, Prof Gunes spearheads research on multimodal, social, and affective intelligence for AI systems, particularly embodied agents & robots, by cross-fertilizing research in the fields of Machine Learning, Affective Computing, Social Signal Processing, and Human Nonverbal Behaviour Understanding.
Honoured with prestigious funding, including a 5-year EPSRC Fellowship (2019-present) and the EU Horizon 2020 Grant (2019-2022), she has been leading the AFAR team in establishing new collaborations with the Departments of Psychiatry and Psychology, which earned them the RSJ/KROS Distinguished Interdisciplinary Research Award Finalist at IEEE RO-MAN’21 as well as exploring ambitious research horizons. These range from using robots for mental wellbeing assessment in children — with over 1,000 global media reports and an interview with The Guardian — to taking the robotic wellbeing coaches from the lab to the workplace, attracting over 700 media coverages. The team's ongoing efforts in mitigating bias in affective and wellbeing computing recently earned them the Best Paper Award in Responsible Affective Computing at ACII 2023.
Prof Gunes's impact extends beyond academia, contributing to national and international projects with real-world outcomes. Her industry collaboration on the Innovate UK Sensing Feeling project resulted in a commercially available portable sensor with deep learning-based emotion prediction, leading to a US patent and the establishment of the spinout company SensingFeeling.
She is regularly invited to give talks at top-tier venues, addressing both scientific and broader audiences. Notable engagements include keynote talks at IEEE FG’19 and ICPR’22, as well as appearances at the Royal Institution and the Hay Festival.
You can visit her home page for further details.