DCU’s Biggest Ever Success in SFI TIDA Awards

DCU researchers enjoyed tremendous success in this year’s Technology Innovation Development Awards (TIDA) from Science Foundation Ireland. 12 researchers were successful in their submissions, with almost €1.4M in funding in total being awarded. This is the largest number of successes that DCU has achieved in a single TIDA call. Both the quality and quantity of proposals from DCU researchers to this year’s call was very high and is a testament to the high quality of research being carried out in DCU and to the focus of DCU researchers on the transferral of research results into benefits. We would like to congratulate each of the awardees listed below and will follow-up with a public notice following SFI’s official announcement.

Liam Barry – Pilot tone assisted QAM for Metropolitan optical transmission systems

Aidan Cowley – Nanostructured Surface Areas for Filtration and Epidermal applications (nanoSAFE)

Dermot Diamond – CMAS: A portable platform for water quality monitoring at Point of Need

Jens Ducrée – LoaD3 - High Performance, Multi-layer Lab-on-a-Disc System for a Cost-Efficient, Point-Of-Care Diagnostics

Vitaly Efremov – Mobile Laser diagnostics of skin conditions

Greg Hughes – Copper diffusion barrier layer formation on high carbon content dielectric materials for future interconnect applications

Tia Keyes – Microcavity Array Supported Lipid Bilayers; Biometric Test Beds for Drug-Membrane Interactions

Caitríona Lally – The development of Novel Nitric Oxide releasing Biomaterials to Promote Stable Endothelialisation in Shear Environments

Paul Leonard & Andrew Kellett – Protein engineering using novel artificial metallonucleases

Aoife Morrin – A paper-based microfluidic analytical device (uPAD) for quantitative catecholamine analysis in urine

Mary Pryce – The Creation of Smart Electrodes by Novel Immobilisation Strategies for Use in CO2 Conversion Technologies

Josef Van Genabith – Monolingual and Bilingual Text Quality Judgements with Translation Performance Prediction