Teaching
Tissue Engineering
Masters level module aimed to introduce the need for Tissue Engineering, exploring the commercial successes, the clinical needs and how fundamental science is used to develop novel strategies for tissue engineering applications.
Biofluids
Masters level module which details the physiological and mechanical aspects of the blood and circulatory system, detailing regulatory mechanisms and the application of basic science to clinical measurements.
Engineering Skills
An introduction to the generic skill sets that undergraduates need to develop to optimize their performance both in academia and industry. Includes technical and abstract writing, data analysis, oral presentations, bespoke software and formal report writing.
Modules for 2024-25
CARDIOVASCULAR BIOENGINEERING
Module code: ENGG311
Role: Teaching
Cardiovascular Physiology and Mechanics
Module code: ENGG415
Role: Teaching
INDIVIDUAL PROJECT
Module code: ENGG341
Role: Teaching
MECHANICAL ENGINEERING DESIGN B
Module code: MECH114
Role: Teaching
MSC(ENG) PROJECT (60 CREDITS)
Module code: ENGG660
Role: Teaching
TISSUE ENGINEERING
Module code: ENGG412
Role: Teaching
Supervised Theses
- A novel form of mechanotransduction: LRP1 a mechanosensor at the cell periphery and a structural linker in the nucleus
- Control of Biological Responses by Isolated Synthetic Material Variables
- DESIGNING A HUMAN CELL PERFUSION BIOREACTOR SYSTEMS UTILISING BIOMATERIALS TO ENRICH STEM CELL NICHES FOR THE RED BLOOD CELLS PRODUCTION
- Designing assemblers for bottom-up formulations with tuneable rheology
- Functional Nano-Particle based sensors for Real Time Monitoring of Physiological Conditions for 3 Dimensional Tissue Engineering Applications
- Inkjet Printing for High Throughput Screening Arrays
- Nitric Oxide Releasing Implants for Orthopaedic Applications
- Particles dynamics at the nanoscale
- The design and manufacture of multi-layered hydrogel-based constructs for articular cartilage/osteochondral reconstruction
- The development of novel surface modifications for use in a skeletal regeneration system
- Towards Generalized and Practical Unsupervised Domain Adaptation in Computer Vision