Dr James Pope
BS, MS, PhD
Current positions
Lecturer in Data Science
School of Engineering Mathematics and Technology
Contact
Press and media
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team:
Research interests
My current research interest is integrating machine learning techniques into resource constrained devices. Techniques include traditional approaches (decision trees, naive bayes, logistic regression) and nascent graph neural networks. Current focus is on anomaly detection tasks for edge devices for cybersecurity applications. I am also involved in pervasive health monitoring using wearables and smart home sensor devices. Current application is determining human activity recognition for Parkinson's disease using multi-modal data sources as part of the TORUS project.
I was previously a Co-Investigator for the SYNERGIA Project to secure an end-to-end IoT platform. I am currently a Co-Investigator on the ELABORATOR project that is designing and deploying specific innovations and interventions towards safe, inclusive and sustainable urban mobility for smart cities. I am also a Co-Investigator on the CHARIOT Project that aims to mitigate adverse consequences of ransomware attacks in Industrial IoT (IIoT).
I previously worked on pervasive healthcare monitoring as part of the EurValve project at Bristol where I designed and implemented the "SPHERE in a box" kit. My initial research was on efficient routing and broadcast approaches for IoT networks.
Other research includes adversarial machine learning for image classification/privacy, physical layer key agreement for IoT devices, and text classification for fan fiction content ratings.
Projects and supervisions
Research projects
Countering HArms caused by Ransomware in the Internet Of Things
Principal Investigator
Role
Co-Investigator
Description
The aim of the 3-year CHARIOT project is to reduce the risk and potential adverse consequences of ransomware attacks in Industrial IoT (IIoT) network deployments comprising severely constrained wireless embedded…Managing organisational unit
School of Electrical, Electronic and Mechanical EngineeringDates
01/09/2023 to 31/08/2026
Countering HArms caused by Ransomware in the Internet Of Things
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/09/2023 to 31/08/2026
8031 SYNERGIA 53707
Principal Investigator
Role
Co-Investigator
Description
Contemporary IoT platforms typically adopt a cloud-based approach, with some offering optional backend installation at customer premises. This approach implies a requirement to transmit, process and store all data points…Managing organisational unit
Department of Electrical & Electronic EngineeringDates
01/11/2020 to 31/10/2022
Publications
Recent publications
26/02/2024Content Rating Classification in Fan Fiction using Active Learning and Explainable Artificial Intelligence
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods
Deep Learning, Feature Selection, and Model Bias with Home Mortgage Loan Classification
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods
GenGradAttack
Proceedings of the 16th International Conference on Agents and Artificial Intelligence
Privacy Preservation in Image Classification using Seam Doppelganger
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
Real World Parkinson’s Disease Tremor and Score Prediction using Wearable IMU Sensors
2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom)