Beth's research interests are in adaptive signal processing especially statistical signal processing and signal characterisation. In particular, she is interested in the intersection of signal processing and machine learning and how signal processing techniques can be used to inform machine learning algorithms. 

Beth also has a specific interest in how these techniques can be applied to multichannel and multimodal data, particularly with reference to biomedical and neural applications.

Dr Beth Jelfs is an Assistant Professor in the School of Engineering. She gained her PhD from Imperial College London before going on to hold postdoctoral positions at the University of Oxford, University College London and City University of Hong Kong. Prior to joining the Univeristy of Birmingham, Beth worked at RMIT University in Melbourne Australia where she was the recipient of a Vice Chancellor's Research Fellowship and a Lecturer (Assistant Professor) in the School of Engineering. 

• MEng Electronic & Software Engineering, University of Leicester, UK
• PhD Electronic & Electrical Engineering, Imperial College London, UK