Professor of Data Science and Intelligent Systems
Lawson, A., Attridge, A., & Lapok, P. (2014, September). Guiding learners to near native fluency in English through an adaptive programme of activities which includes phoneme and prosody analysis. Paper presented at Eurocall 2014, University of Groningen
This project aims to address pronunciation problems of English language learners. Current pronunciation software tools mainly address phonemic difficulties and give little or ...
Lawson, A., & Macfarlane, R. (2014, April). Embedding programming skills to support the student journey in networking, security and digital forensics. Paper presented at HEA STEM Annual Learning and Teaching Conference 2014: Enhancing the STEM Student Journey, University of Edinburgh, Edinburgh
The development of programming skills by Networking graduates, and Security and Digital Forensics graduates is highly sought after by employers, both in industry, and in acade...
Lo, O., Fan, L., Buchanan, W. J., Thuemmler, C., & Lawson, A. (2012, June). Towards simulation of patient data for evaluation of E-health platform and services. Paper presented at 13th Annual Post Graduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting, Liverpool
This paper presents the design and implementation of the Patient Simulator, a software application used for the simulation of patient data. The simulator aims to evaluate e- H...
Digital Health Institute
This work will provide proof-of-concept infrastructures and which will be used to create an ecosystem for strong use cases, and thus attract new funding for the building of new health and social care ...
Scottish Funding Council
This is a small project to initiate an engagement following an unsuccessful application for a larger Data Lab project.
Trisent’s core technology is called the Personal Context Management System (PCM...
The focus of the project is to use the new breed of motion sensors which can fully capture the movement of hands and fingers, and use this to create an early stage product to demonstrate how precise h...
Senior Research Fellow
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, 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...
Ferrara, E., Fragale, L., Fortino, G., Song, W., Perra, C., di Mauro, M., & Liotta, A. (in press). 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...
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,...
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 ...
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
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted int...
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 ...
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...
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 ...
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869
Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but als...
Chincoli, M., & Liotta, A. (2018). Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), 1-29. https://doi.org/10.3390/s18020375
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This...
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018). Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...
Torres Vega, M., Perra, C., & Liotta, A. (2018). Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125
When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality eme...
This project will develop a design and “architecture” for a system to deliver the objectives for 1-3 countries. A prototype wireframe will be built to demonstrate the system.
The overall vision of the Spellakit project is to significantly enhance learner experience and outcomes in English language spelling through an innovative ICT based approach focused on a kinesthetic m...
The aim of this project led by Alistair Lawson of IIDI is to develop a design for the underlying architecture of a novel virtual learning platform
Carnegie Trust for the Universities of Scotland
The aim of the project led by Alistair Lawson of IIDI is is to investigate the development of a visually stimulating, high quality interactive on-line learning package for refresher courses for the ...
This project lead by Alistair Lawson aims to create a proof-of-concept demonstrator to show how very specific hand and finger movements can improve a person’s health and address certain problems assoc...
A web-based platform digitising LPT's processes was delivered and is now being commercialised by LPT.
The aim of the project led by Alistair Lawson of IIDI is to create a prototype for a single module of a Crofting Entry Level Course developed by the Scottish Crofting Federation.
This project de...
This IIDI project, led by Alistair Lawson is a review of the Transcribe UK current system documentation, code base, workflow, and manual administration processes, followed by interviews of key staff a...
Design for a system for managing information about personal safety beacons for outdoor activities in remote locations. The user will be able to register a device and provide personal details about the...
Investigation of Big Data applied into Health and Social Care
The aim of the project led by Alistair Lawson of IIDI is to carry out a review exploring the potential of a recommendations model integrated with a social network that will allow for real and trustwor...