Wednesday 31st January 2024
The following list provides tentative titles and short descriptions. (FYDP = Final Year Design Project)
FYDP 1 Quantum Machine Learning for Biomedical Engineering - Cardiovascular Actvity Analysis
This FYDP project explores the state-of-the-art recent developments in the quantum computing and quantum-inspired machine learning for biomedical engineering domain with a specific focus on cardiovascular activity analysis. This research area is recent and in its infancy in comparison with conventional deep learning and has huge potential for growth. This is evident by the massive investments governmental and industrial organizations are devoting to quantum computing and artificial intelligence. The project aims to explore both methodological and applied aspects, and makes use of quantum simulators and libraries (e.g. IBM's Qiskit, Xanadu's Pennylane, Google's Tensorflow Quantum, etc).
FYDP 2 Quantum Machine Learning for Biomedical Engineering - Stress / Brain Activity Analysis
This FYDP project explores the state-of-the-art recent developments in the quantum computing and quantum-inspired machine learning for biomedical engineering domain with a specific focus on strees / brain activity analysis. This research area is recent and in its infancy in comparison with conventional deep learning and has huge potential for growth. This is evident by the massive investments governmental and industrial organizations are devoting to quantum computing and artificial intelligence. The project aims to explore both methodological and applied aspects, and makes use of quantum simulators and libraries (e.g. IBM's Qiskit, Xanadu's Pennylane, Google's Tensorflow Quantum, etc).
Note: See FYDP List 2023 for project 2 and 4.
Acknowledgement
Project050: Quantum machine learning for biomedical data analysis, Last accessed on 31-01-2024