validation of equations-of-state, and to understand the underlying mechanisms involved in phase transitions. Students working on this project will contribute to the design and modelling of microwave cavities, measurement of fluid mixture phase boundaries and phase fractions, and development of automated measurement and data analysis systems. Tian, Yinghui, Dr Co-supervisors: Tran, Joe (Industry) Numerical modelling of dynamic penetration and damage in offshore engineering Disciplines: Civil, Mechanical and Oil & Gas. Dynamic and large deformation problems are very common in offshore engineering, such as the penetration of anchors into seabed, damage of pipelines due to dropped objects, pile driving etc. This project will carry out numerical modelling to investigate the mechanism of these challenging problems. This project provides opportunity of learning the commercial software ABAQUS and potential publishing the research work outcome. Togneri, Roberto, Professor Audio Surveillance Disciplines: Computer, Electrical & Electronic, Software We live in a very insecure and dangerous world. Around every corner somebody is watching us through that hidden CCTV camera, but most of the time they won't be listening. With the advent of cheap and reliable audio sensors the ability to listen to the world around us, using sound for surveillance has become reality. In this project you will join the team of PhD students investigating audio event detection and scene classification and new approaches to source unmixing to find the answer to the question: What can we see with our ears? For a review of this topic please check out https://arxiv.org/pdf/1409.7787. Togneri, Roberto, Professor Co-supervisors: Bennamoun, Mohammed, Professor Hands Free and Voice Free Data Entry using Visual Speech Disciplines: Computer, Electrical & Electronic, Software In industrial shop floors and storage facilities there is a need for on-the-spot data entry. With a potential noisy factory floor and the need to wear protective gloves makes hand input cumbersone and voice input unreliable. In this project you will explore how far we can push visual speech recognition (lip reading) by computer to augment limited keyboard or voice entry in these environments. For a good background on visual speech recognition please review https://arxiv.org/ftp/arxiv/papers/1409/1409.1411.pdf.
validation of equations-of-state, and to understand the underlying mechanisms involved in phase transitions. Students working on this project will contribute to the design and modelling of microwave cavities, measurement of fluid mixture phase boundaries and phase fractions, and development of automated measurement and data analysis systems. Tian, Yinghui, Dr Co-supervisors: Tran, Joe (Industry) Numerical modelling of dynamic penetration and damage in offshore engineering Disciplines: Civil, Mechanical and Oil & Gas. Dynamic and large deformation problems are very common in offshore engineering, such as the penetration of anchors into seabed, damage of pipelines due to dropped objects, pile driving etc. This project will carry out numerical modelling to investigate the mechanism of these challenging problems. This project provides opportunity of learning the commercial software ABAQUS and potential publishing the research work outcome. Togneri, Roberto, Professor Audio Surveillance Disciplines: Computer, Electrical & Electronic, Software We live in a very insecure and dangerous world. Around every corner somebody is watching us through that hidden CCTV camera, but most of the time they won't be listening. With the advent of cheap and reliable audio sensors the ability to listen to the world around us, using sound for surveillance has become reality. In this project you will join the team of PhD students investigating audio event detection and scene classification and new approaches to source unmixing to find the answer to the question: What can we see with our ears? For a review of this topic please check out https://arxiv.org/pdf/1409.7787. Togneri, Roberto, Professor Co-supervisors: Bennamoun, Mohammed, Professor Hands Free and Voice Free Data Entry using Visual Speech Disciplines: Computer, Electrical & Electronic, Software In industrial shop floors and storage facilities there is a need for on-the-spot data entry. With a potential noisy factory floor and the need to wear protective gloves makes hand input cumbersone and voice input unreliable. In this project you will explore how far we can push visual speech recognition (lip reading) by computer to augment limited keyboard or voice entry in these environments. For a good background on visual speech recognition please review https://arxiv.org/ftp/arxiv/papers/1409/1409.1411.pdf.
FYP-Descriptions-Sem-1-2017.docx