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...
Scottish Funding Council
The project has successfully defined the long-term requirements of the solution and also produced a prototype implementing on of these requirements
Investigation of Big Data applied into Health and Social Care
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...
Professor of Data Science and Intelligent Systems
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771
In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer gre...
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017). Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j.patcog.2017.04.017
Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficul...
C. Bai, & C. Thuemmler (Eds.), (2017). Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare. doi:10.1007/978-3-319-47617-9
The implications of new network technologies such as 5G and Industry 4.0 principles on the future of healthcare.
Saleem, K., Tan, Z., & Buchanan, W. (2016). Security for Cyber-Physical Systems in Healthcare. In Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare, 233-251. BioMed Central. doi:10.1007/978-3-319-47617-9_12
The great leap forward of cyber-physical systems has made provision for future personalized medicine. However, these systems are prone to cyber attacks. To provide patients wi...
Shahzad, B., Orgun, M. A., & Thuemmler, C. (2016). Fundamental Issues in Mobile Healthcare Information Systems. Mobile Information Systems, 2016, 1-2. https://doi.org/10.1155/2016/6504641
Fundamental Issues in Mobile Healthcare Information Systems
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016). A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z
Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic feature...
Thuemmler, C. (2015). A medical technologist perspective on pandemics. Longevity bulletin, 20-21
A medical technologist perspective on pandemics.
Barnaghi, P., Bauer, M., Biswas, A. R., Botterman, M., Cheng, B., Cirillo, F., …Volk, M. (2015). IoT analytics: collect, process, analyze and present massive amounts of operational data - research and innovation challenges. In Vermesan, O. & Friess, P. (Eds.). Building the Hyperconnected Society : IoT research and innovation value chains, ecosystems and markets. Volume 43, 1-331. River Publisher. ISBN 9788793237988, 9788793237995
IoT analytics: collect, process, analyze and present massive amounts of operational data - research and innovation challenges.
Thuemmler, C., Jell, T., Nunna, S. & Jumelle, A. K. L. (2014). Impact of 5g telematics. Asian Hospital & Healthcare Management
New technologies such as wearable wireless medical devices are transforming the way healthcare is delivered. As these devices become more powerful and numerous, the daunting c...
Lo, O., Fan, L., Buchanan, W. J., & Thuemmler, C. (2012). Conducting Performance Evaluation of an e-Health Platform. In T. Issa, P. Isaías, & P. Kommers (Eds.), Advances in Business Information Systems and Analytics; Information Systems and Technology for Organizations in a Networked Society, 295-315. IGI Global Publishing. doi:10.4018/978-1-4666-4062-7.ch016
For increased awareness and adoption of e-Health implementations, results from evaluation must be catered towards three primary perspectives: organizational, end-user and tech...
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...
Thuemmler, C. (in press). Large Scale Application Model potential of eHealth technology under 5G AP. In 2017 IEEE Conference on Standards for Communications and Networking (CSCN) Conference Proceedings
No abstract available.
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...
Royal Society of Edinburgh
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 ...
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...
Engineering and Physical Sciences Research Council
This project extends the e-Health Cloud-based Platform, and integrates with assisted living. The project integrates Edinburgh Napier University, Microsoft and HoIP, and has created a novel governance ...
This project relates to the research collaboration between Edinburgh Napier University, CipherLab, Chelsea and Westminster Hospital, GS1 UK, Imperial College, and Kodit, and is funded through a resear...
Queen Margaret University
This IIDI project led by Alistair Lawson investigates the feasibility of developing a prototype Flash-based version of PEPS-C (Profiling Elements of Prosody in Speech-Communication). This is a test w...
The "Frailty Framework" is the development of a next generation health assessment and predictive analysis system. It will...