Science communication pieces written during my PostDoc at the Affective Intelligence and Robotics Laboratory (AFAR), University of Cambridge, published on the WorkingAge project blog (EU Horizon 2020, Grant No. 826232).
November 2021 · WorkingAge Blog · CSCW’21 Workshop
Reports on work presented at the “Human-Machine Partnerships in the Future of Work” workshop at CSCW’21. Describes a facial affect analysis system for naturalistic work settings that models workers’ emotional states using valence and arousal dimensions — showing that pre-trained models on naturalistic datasets generalise well to workplace affect recognition.
2021 · WorkingAge Blog
The second part of the RED-AI series covers practical techniques for training large machine learning models more efficiently — addressing the growing carbon footprint and accessibility barriers raised in Part I, and offering concrete methods to make deep learning research more sustainable and open.
2021 · WorkingAge Blog
Introduces the concept of “RED AI” — the trend of prioritising accuracy over computational efficiency. Examines how the compute cost of state-of-the-art models grew 300,000× between AlexNet (2012) and AlphaZero (2017), creating carbon footprint concerns and raising the entry bar for academic researchers.
March 2021 · WorkingAge Blog · ICPR 2020 / CARE Workshop
Covers the CARE 2020 workshop (“Pattern Recognition for positive teChnology And eldeRly wEllbeing”) at ICPR2020, Milan. Discusses computational models for automatically evaluating the emotional wellbeing of elderly people using non-verbal social signals — facial expressions, body language, and gestures — in ecological, unconstrained settings.
2020–2021 · WorkingAge Blog · Co-authored with Dr. Hatice Gunes (University of Cambridge)
Reports on the European Beyondwork2020 conference (Bonn, Germany), exploring how the future of work can be shaped after the COVID-19 pandemic. Covers how cognitive training via virtual reality and affective adaptation can shape healthier, more supportive workplaces.