Christine Martindale

Focusing on electric vehicle forecasting

Mobile gait analysis using machine learning techniques focusing on semi-supervised learning and segmentation techniques https://www.researchgate.net/profile/Christine_Martindale

Analysing data, designing models, setting up projects International & interdisciplinary work Working with time series data, customer insights and sales and marketing data Machine learning models, prediction, forecasting, anomaly detection

Cycle analysis using machine learning, including gait analysis, deep learning, hidden Markov models, sensor data

Specialising in Medical Physics. Thesis project in the non-invasive surgery laboratory. Modules include: Image processing, advanced medical imaging, medical device certification, advanced physiological monitoring and analysis

Proof of Concept Data Logger for Non-active Power

Project: Investigation of a Novel Decentralised Leader-Follower Control Strategy Modules: Electrical Engineering Design, Process Control and Instrumentation, Computer Integrated Manufacture and Robotics, Signals and Systems, Digital Electronics, Control Engineering, Electronic Circuits