21 sensor positions at Ulster University

FLEXUS: Flexible, Lightweight, EXceptional Ultrasound Sensors using Nanocomposite Technology

, “Acoustic Energy Harvesting and Sensing via Electrospun PVDF Nanofiber Membrane,” Sensors, vol. 20, no. 11, 2020, doi: 10.3390/s20113111.

​​Utilizing Process Mining and Modelling Techniques for Sensor-Based Patient Activity Recognition within the Smart Home Environment

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...

Ethical AI - can wearable sensors with embedded AI detect Parkinson’s Disease symptoms?

These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...

Using digital twins to optimise activity recognition within smart environments

Extended Belief Rule-Based System for Sensor-Based Activity Recognition,  Expert Systems With Applications,  vol. 186,  no. 30,  pp. 2022. Long-Hao Yang, Jun Liu, Fei-Fei Ye, Ying-Ming Wang, Chris Nugent

Detection and Classification of Complications in the Cardiovascular System During Artificial Heart Pump Support

comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher. S. Bozkurt, N. Bhalla “Sensor-Free Biosensing of Mitral and Aortic

Wearable Sensing Techniques for Arm-based ECG and Bioimpedance Long-term Monitoring of Cardiac Pumping Effectiveness in Heart Failure and Atrial Fibrillation Assessment Methods.

and Arm Body Surface Bipolar ECG Leads Signal and Sensor Study for Long-term Rhythm Monitoring. 44th Computing in Cardiology Conference 2017, Vol 44. Villegas, Angel, McEneaney, David, Escalona, Omar

​​AI-Driven Approaches to Enhance Human Activity Recognition​

., Nugent, C., Lee, S., Semimput: Bridging semantic imputation with deep learning for complex human activity recognition, 2020, Sensors (Switzerland), 20, 10, 2771, 10.3390/s20102771. Ni, Qin, Timothy

​​Generative Modelling for Synthetic Data Generation ​

Patients. Sensors, 22(14), 5410. ​​Cruciani, F., Moore, S., Quigley, B., Nugent, C. D., & Sani, S. (2021, November). Semi-supervised detection of Algorithmically Generated Domains using Neural Network-based

​​Federated Learning for Privacy-Preserving Analytics in Digital Twin Environments

Industrial IoT Architectures: A Review. Sensors, 22, 5836. ​​RAMU, S. P., BOOPALAN, P., PHAM, Q.-V., MADDIKUNTA, P. K. R., HUYNH-THE, T., ALAZAB, M., NGUYEN, T. T. & GADEKALLU, T. R. 2022. Federated learning

Robotic In-hand Object Manipulation with tactile sensing

Summary Although the ability for a robot to determine an object’s properties by touch has been investigated for many years, recent developments in tactile sensors has increased interest in