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Software Innovation and Machine Intelligence Applications Group

The SIGMA research group has had a long track record of innovation and research in CIT, with key personnel producing world class research and intellectual property from CIT for almost two decades. SIGMA has an extensive track record in applied research and development to solve real world problems. We have enabled research and commercial applications in diverse domains with a particular focus on health, life science, clinical trial, informatics and analytics. Based in CIT's Department of Computer Science we specialise in in machine learning, cloud computing and affective computing and have published numerous international peer reviewed scientific articles and book chapters on a range of topics. Our team members sit on the editorial review boards for journals and international scientific conferences for IEEE and ACM conferences. The activity of SIGMA based research has led to CIT’s first technology product licence (SEFTec), the first spin-out company from licenced technology (NSilico), numerous publications, invention disclosures, best paper awards, course modules, national funding (EI, SFI, IRC) and EU funding (FP7 and several H2020 projects).

SIGMA is funded under various national and international research programs and has collaborated with the following partners:

  • Microsoft
  • SEFTec
  • Health Innovation Hub
  • Cork University Hospital
  • University of Ulster
  • University of Edinburgh
  • NSilico
  • Genomic Health
  • ARCH- Applied Research for Connected Health
  • Science Foundation Ireland
  • Irish Research Council
  • Enterprise Ireland
  • Teagasc
  • Department of Agriculture, Food & Fisheries
  • Institutes of Technology Ireland

Recent Projects

Bioinformatics Biomapper Simplicity

The last decade has witnessed an unprecedented growth in next generation sequencing and other high throughput technologies that has led to an enormous increase in the amount of biological data held in publically available databases. Processing of this genomic ‘big data’ using bioinformatics based approaches is now a core skill for life science researchers who now spend a significant amount of their time at a computer rather than at the bench. While the computational requirements of this biological big data crunching can be addressed at least in part by recent advances in cloud computing, there are significant challenges and barriers to enabling bioinformatics solutions on a cloud infrastructure. As a consequence, many life science researchers fail to engage with cloud based solutions. Indeed, it has been shown that the usability of cloud based bioinformatics can pose significant obstacles to a satisfactory user experience and force researchers to spend unnecessary time and effort to complete their tasks.
Researchers at SIGMA have created a novel cloud based bioinformatics workflow tool which has usability of cloud based infrastructure at its core. Indeed, its goal is to democratise the life sciences; enabling researchers who do not have specialist bioinformatics, coding or statistical training to access a large set of integrated cloud based software tools that automate many complex research workflows without the need for extensive customisation or manual intervention. The objectives of the paper are to highlight the issues facing life science researchers who are often poorly served by the usability and performance of current cloud based software systems.



CIT researchers in conjunction with the Irish Naval Service and SEFTec Ltd., have developed iTracker™, a state of the art personnel tracking technology for training simulations. This technology ensures that trainees meet training requirements in  tough conditions such as fire fighting and search and rescue scenarios. The system uses advanced machine learning, image processing and visualisation technology to track and monitor trainees.

The project was funded by Enterprise Ireland and  supported by SEFtec, the global-leader in the production of robust, reliable & cost-effective safety training simulators for the world's leading training centres.



  • Our system integrates seamlessly with multiple sensor types, ultra sonic, camera, RFID, pressure.


  • Performance  of trainees is displayed in real time 3D.


  • Data from any source is intelligently combined in real time to update  situation assessment.


  • Last know position, temperature, heart rate and many other readings are reported in real time.


The SenseCare solution will integrate data streams from multiple sensors and will fuse these streams to provide a global assessment that includes objective levels of emotional insight, well-being and cognitive state. The potential exists to integrate this holistic assessment data into multiple innovative applications across connected healthcare and various other inter-related and independent domains. SenseCare is thematically aligned with the current EU Horizon 2020 themes of “Internet of Things”, “Connected Health”, “Robotics” (including emotional robotics) and the “Human Brain Project”. See more at



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