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Software Innovation and Machine Intelligence Applications Group

Software Innovation and Machine Intelligence Applications Group


The SIGMA group is a leading research centre exploring how Artificial Intelligence and Machine Learning can be applied to solve real-world problems.

Study

Studying with the SIGMA group puts our researchers at the cutting edge of the technology curve. At SIGMA we focus on artificial intelligence and machine learning, and how these tools can be easily transferred to the workplace. Over the years our graduates have found employment in a wide range of sectors, from entrepreneurial start-ups to telemedicine informatics. Our hands-on project driven approach allows students to involve themselves in solving real-world problems that further enhances their learning experience by knowing that through their work positive changes can be made.

Research

The SIGMA group is at the research forefront of the use of artificial intelligence and machine learning in the healthcare and life-science domains. Our researchers are involved in wide ranging fields of study that include the design of quality of service and experience for emergency medical services in next generation cellular networks, through to deep learning algorithms for patients suffering from dementia. Opportunities exist to collaborate with other researchers throughout Europe, and becoming a part of our European funded project partner programs.

Commercialize

SIGMA can help commercialize your research through our active involvement with programs such as enterprise Ireland's Commercialization Fund. SIGMA has helped spin-out research and intellectual property into start-ups and enterprises, either directly as a result of technology transfer, or help and assistance in working with the nationally funded enterprise agencies. SIGMA can help you take your innovative research to the next level.

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

Excellence

Our team of researchers ask how data science and artificial intelligence can be used as a basis for new generation clinical diagnostic, prognostic and therapeutic tools. SIGMA researchers have driven research in major EU funded projects in health related areas, such as:

SIGMA researchers are focusing on enabling improved diagnosis with novel biomarkers, and improved prognosis from data-mining existing therapeutics for new indicators, by aggregating massive sets of data in the form of clinical, genomic, and transcriptomic.

 

Past 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.

 

REAL TIME SENSOR TECHNOLOGY FOR TRAINING MONITORING AND ASSESSMENT

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.

Features:

MULTI-SENSORS

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

VISUALISATION

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

DATA FUSION

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

STATUS OF TRAINEES

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

SenseCare

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 http://www.sensecare.eu/about-us/

 

 

 

 

 

 

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