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Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach

Journal Article
Di Mauro, M., & Liotta, A. (2019)
Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach. IEEE Transactions on Network and Service Management, 16(4), 1493-1506. https://doi.org/10.1109/tnsm.2019.2943776
The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provision...

An AI approach to Collecting and Analyzing Human Interactions with Urban Environments

Journal Article
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (2019)
An AI approach to Collecting and Analyzing Human Interactions with Urban Environments. IEEE Access, 7, 141476-141486. https://doi.org/10.1109/access.2019.2943845
Thanks to advances in Internet of Things and crowd-sensing, it is possible to collect vast amounts of urban data, to better understand how citizens interact with cities and, i...

The Social Impact of Digital Youth Work: What Are We Looking For?

Journal Article
Webster, G., Pawluczuk, A., Smith, C., & Hall, H. (2019)
The Social Impact of Digital Youth Work: What Are We Looking For?. Media and Communication, 7(2), 59-68. https://doi.org/10.17645/mac.v7i2.1907
Digital youth work is an emerging field of research and practice which seeks to investigate and support youth-centred digital literacy initiatives. Whilst digital youth work p...

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities

Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019)
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...

Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates

Conference Proceeding
Rooney, L., Chute, C., Buchanan, W. J., Smales, A., & Hepburn, L. (2018)
Open-source Data Analysis and Machine Learning for Asthma Hospitalisation Rates. In Proceedings of ThinkMind - GLOBAL HEALTH 2018, The Seventh International Conference on Global Health Challenges
Long-term conditions in Scotland account for 80% of all GP consultations; they also account for 60% of all deaths in Scotland. Asthma and Chronic Obstructive Pulmonary Disease...

Interference graphs to monitor and control schedules in low-power WPAN

Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019)
Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014
Highlights • This study presents the complete and slotted interference graph model. • The service uses the complete interference graph to evaluate the network. • Slotted int...

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018)
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), 1-12. https://doi.org/10.1038/s41467-018-04316-3
Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from ...

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019)
An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169
Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and t...

On-Line Building Energy Optimization Using Deep Reinforcement Learning

Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019)
On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219
Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the ...
13 results

The life and work of Derek Hoy – a Scottish nurse informatician

2017 - 2017
Derek Hoy was a Scottish nurse based predominantly in Glasgow who died in 2012. He worked for many years in the National Health Service (NHS) in a variety of clinical roles, where he began to experime...
Funder: Carnegie Trust for the Universities of Scotland | Value: £1,350

A novel website to support patients and families in and after Intensive Care; spreading improvement across NHS Lothian

2017 - 2018
In this project, we will spread the use of an innovative website, designed to support patients and family members in and after Intensive Care. We have already implemented the website at the Royal Infi...
Funder: The Scottish Centre for Telehealth and Telecare | Value: £7,894

dot.rural Portrait KE

2015 - 2016
Portrait is a software tool developed to help care staff get to know personal and social information about clients that live in residential care facilities. The Portrait system consists of a biography...
Funder: University of Aberdeen | Value: £3,287

i-com

2014 - 2015
The project has successfully defined the long-term requirements of the solution and also produced a prototype implementing on of these requirements
Funder: Scottish Funding Council | Value: £5,000

CM2000 Follow On

2014 - 2014
Investigation of Big Data applied into Health and Social Care
Funder: Scottish Funding Council | Value: £40,000

AyeCan

2014 - 2014
Weight management is a key health issue within Scotland. The focus of this project is to develop an intelligent online platform for weight management.  The project will use artificial intelligence met...
Funder: Scottish Funding Council | Value: £5,000

Trust and Governance Integration into Living It Up (Sitekit)

2013 - 2014
Funder: Scottish Funding Council

FI STAR

2013 - 2015
New ideas are on the way to make healthcare more accurate, more affordable and matching the needs of our changing societies. Demographic changes, progress in technology and in medicine offer options t...
Funder: European Commission | Value: £532,920

Personal health data manager

2012 - 2013
This SE/RSE Enterprise Fellowship aimed to commercialise intellectual property owned by Edinburgh Napier University related to e-Health data management into an end-user product. The project paved the ...
Funder: Royal Society of Edinburgh | Value: £32,926

e-Health Security Infrastructure Evaluation

2012 - 2012
IIDI is working with Patient Reminders Limited supported the SFC Innovation Voucher scheme.  Patient Reminders Limited provides patient reminder products and solutions for use in clinical studies, ph...
Funder: Scottish Funding Council | Value: £4,979

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