My research interests lie broadly in the area of Artificial Intelligence (AI) for computer vision, with a special focus on biomedical imaging, neuroimaging, information access, and evaluation. I am also interested in the challenges of Multimodal AI, where various data types—such as images, text, speech, and numerical data—are combined with multiple intelligence-processing algorithms to achieve enhanced performance. In many real-world problems, Multimodal AI often outperforms single-modal AI by leveraging diverse sources of information.
Current projects
This section contains a list with the currently active projects.
- ImageCLEFcaption (Since 2016)
- Predicting Media Memorability (Since 2020)
Past projects
- Daedalus Fractal Biomarker and Experimental Longitudinal Study (2023-2024)
- ECO-COATING – Engineering Control of Organic Coatings on Autonomous Navy Gliders (2023-2024)
- Artificial Intelligence for Diagnosis of Skin Cancer (2020-2024)
- Gamification and participatory techniques for Sri Lanka factory workers (2022-2023)
- Creating a ‘Common Value’ Business Model (2022-2023)
- ImageCLEFcoral (2019-2022)
- Early prediction of Neurodegenerative Diseases using Deep Learning (2019-2022)
- Understanding the Gender Gap in STEM Higher Education (2022)
- Neural correlates of memory encoding (2022)
- AI procedure in Chest X-Ray screening (2021)
- AI system to analyse patient records and process high-volume documentation (2020-2022)
- Combining NLP and image analysis to accelerate and automate the collection of OSINT (2019-2022)
- Innovative SaaS based product to create video content and distribution strategies for marketing (2018-2021)
- YERUN Research Mobility Awards (2020)
- Effortless Accountability (2017-2018)
- PROMISE - Participative Research labOratory for Multimedia and Multilingual Information Systems (2011-2015)
- Kresmoi - Medical Information Analysis and Retrieval (2011-2014)
- Mathematical models based biomarkers (2013-2016)
- Mathematical Methods in Computational Anatomy and Physiology (2010-2012)