Here are some examples of exciting outputs from our research activies:
Distill: Protein Structure Prediction using Machine Learning
Distill, a protein structure prediction web service, was developed by Dr Gianluca Pollastri's AmMBio group at CS UCD. It provides fast, accurate comparative modelling of protein structures, and is the most popular secondary structure prediction method now used in the world. It has 80+ corporate users which include half of the top 50 Pharmaceutical /Biotech companies.
Feicim: A grid-computing tool for facilitating scientific collaboration
Dr. Tahar Kechadi and his team are working on a data-oriented Grid solution, called Data-Grid Environment and Tools (DGET), which unifies the access of resources and presents a user-friendly interface to allow the development and execution of Data-Grid applications. DGET's first prototype Feicim, is currently being trial by a CERN project: LHCb. In this application, Feicim is helping researchers manage scientific experiments involving multiple scientific collaborators, which requires the sharing of data and other resources between team members across a grid-platform.
HeyStaks: Improving Search Engine Performance with Social Networking
HeyStaks is a new approach to Web search that helps searchers to share their search experiences with friends, colleagues, and other searchers. HeyStaks technology is being developed by Prof. Barry Smyth's research group, and is the first spin-out of the new CLARITY research centre, a €16m Science Foundation Ireland research centre combining researchers from UCD, DCU and the Tyndal National Institute.
MuSE: Next Generation Speech Translation
The MuSE speech technology platform is the outcome of a number of research projects involving Prof. Julie Berndsen's MUSTER research group over the last 5 years. These components are now being further developed in the context of the Centre for Next Generation Localisation CSET (CNGL). Speech Technology is a major component of this project which has the aim of utilising the synergies between Machine Translation and Speech Technology to provide flexible access to multilingual digital content in hands-busy eyes-busy scenarios.
Making Medical Sensor Systems Smart
At present the physiological monitoring of patients is largely restricted to the bedside. Mobile digital health technology offers more comprehensive and continuous wireless patient monitoring outside the clinical environment, allowing patients to continue normal activity. Dr Chris Bleakley is working with colleagues from UCC, NUI Galway and University of Limerick to develop Wireless Smart Sensors. Such systems integrate embedded sensing devices and embedded signal processing, and provide patient summary information for wireless transmission to a remote or local device. This enhances the capability of the system by allowing for the possibility of immediate intervention by a clinical professional or care giver. Read more
Preventing Copyright Infringement of Digital Media
The prevention of copyright infringement of digital image, video or audio content is a very pressing problem for media industries such as film and music. Two important tools for multimedia information security are data hiding (i.e., data watermarking and steganography) and robust hashing. Dr Neil Hurley, Dr Félix Balado and other members of the Information Hiding Laboratory are using mathematical and statistical modelling to propose optimal solutions to these problems.
TRiL: Supporting Independent Living for the Elderly
As the ageing population demographic in the western world continues to increase, this has put severe pressure on clinical resources. Health-care providers are more than 10 years behind other big business when it comes to the utilisation of technology. The TRIL Centre’s mission is to discover and deliver technology solutions which support independent ageing, ideally in a home environment. This will improve the quality of life of older citizens while reducing the burden on carers and the healthcare system.