Chris Bowen

Staff

Department of Mechanical Engineering

Professor Chris Bowen

Chris’s research areas include functional materials and composites, which include ferroelectrics and shape memory alloys. Ferroelectric materials have a polarisation that changes with stress or temperature and can therefore convert mechanical motion or temperature fluctuations into an electrical signal. This research is aimed at developing novel sensors or energy harvesting systems capable of converting ambient vibrations or heat into useful electrical energy. Ferroelectrics and shape memory alloys can also be used to provide a shape change, so are being examined for actuation or morphing structures.

University of Bath Research Portal:

https://researchportal.bath.ac.uk/en/persons/chris-bowen/

Second Supervisors

Alessandro Leronni

Department of Mechanical Engineering

Research interests

Continuum modelling of electrochemo-mechanical systems
Finite element implementation of multiphysics frameworks
Smart materials, energy storage, and developmental biology

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Da Chen

Department of Computer Science

Research interests:

Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
Video processing: multimodal learning with video with visual, textual, and audio information.