My research interest lies broadly in the area of Artificial Intelligence (AI) in computer vision with a special focus on biomedical imaging, neuroimaging, information retrieval and evaluation. I also cast the problem of Multimodal AI, in which various data types (image, text, speech, numerical data) are combined with multiple intelligence processing algorithms to achieve higher performances. Multimodal AI often outperforms single modal AI in many real-world problems.
Current projects
This section contains a list with the currently active projects.
- Daedalus Fractal Biomarker and Experimental Longitudinal Study (since 2023)
- ECO-COATING – Engineering Control of Organic Coatings on Autonomous Navy Gliders (2023-2027)
- Artificial Intelligence for Diagnosis of Skin Cancer (2020-2024)
- ImageCLEFcaption (Since 2016)
- Predicting Media Memorability (Since 2020)
Past projects
- 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)
