Use of AI / technology / affective computing to build novel solutions for healthcare

Looking for parters interested in projects that use AI / technology / affective computing to build novel solutions to improve healthcare, for example to improve the quality of life of persons with intellectual/physical disabilities/ailments and their carers.

CAPABILITIES

- Proficiency in signal processing, machine learning, AI (explainable AI) techniques, to model and interpret physiological signals in affective computing, emotion recognition, and human-computer interaction.

- Expertise in probabilistic modelling, Gaussian Processes (GP), Bayesian frameworks, conformal predictions to deliver calibrated and robust predictions.

- Skilled in creating personalised predictive models using clustering, transfer learning, and adaptive biasing for enhanced accuracy from day zero.

EXPERIENCE

- Proven track record of designing and implementing advanced machine learning frameworks for healthcare applications (e.g. H2020 NEVERMIND).

- Leading work packages in Horizon projects (H2020 NEVERMIND and H2020 POTION).

- Familiarity with working on interdisciplinary projects involving psychology, neuroscience, computer science, and engineering.

- Prior success in integrating diverse data sources (e.g., physiological, behavioural, textual) into cohesive predictive systems.

- Demonstrated ability to refine models iteratively based on feedback and evolving data.

PARTNERS WE SEEK

- Researchers and practitioners in intellectual/physical disabilities/ailments, special education, and rehabilitation.

- Experts in social sciences, humanities, and healthcare policy.

- Industry partners developing assistive technologies, digital solutions, and accessible care services.

- Healthcare providers: to collaborate on data collection, validation, and deployment of AI models in real-world settings.