Staff Profile

I received my integrated master's degree in Medical Engineering MEng at the University of Surrey in 2018. My final year project was supervised by Dr Daniel Abasolo and Dr Mahinda Yogarajah and was titled “Electroencephalogram Analysis with Advanced Signal Processing Techniques for the Characterisation of Seizures”. 

I continued on with Dr Abasolo and Dr Yogarajah at the University of Surrey where completed my PhD in Biomedical Engineering in 2022. The title of my PhD thesis was "Application of Machine Learning to Electroencephalograms and Electrocardiograms for the Differential Diagnosis of Psychogenic Non-epileptic Seizures and Epilepsy". 

From October 2022, I have been a Research Assistant in the Brain and Movement (BAM) Research Group at the Translational and Clinical Research Institute of Newcastle University. 

I am working as part of IDEA-FAST project in at the Translational and Clinical Research Institute of Newcastle University. 

My area of expertise is in biomedical signal processing with a focus on feature engineering and machine/deep learning. My interests include diagnosis/classification, generation of fake samples, and pipeline design. 

• Hinchliffe C, Yoarajah M, Elkommos S, Tang H, Abasolo D. Entropy Measures of Electroencephalograms towards the Diagnosis of Psychogenic Non-Epileptic Seizures. Entropy 2022, 24(10), 1348. In Preparation.
• Hinchliffe C, Yogarajah M, Tang L, Abasolo D. Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic Seizures. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022, Glasgow, Scotland. In Preparation.