Mark MillerComputer vision and machine learning for recognition of civil structural components and their damage analysis
Computer vision and machine learning for recognition of civil structural components and their damage analysis
About the Project In this project the PhD research student will investigate the strengths and weaknesses of the deep convolutional neural network for analysis of civil infrastructures, such as concrete … Read More Read More
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Jing(静) WangAccelerating molecular phylogenetic inference using high performance computing.
Accelerating molecular phylogenetic inference using high performance computing.
About the Project Project Overview: Molecular phylogenetic inference, constructing evolutionary histories from molecular data, is an activity universal to all biological disciplines. Phylogenetic inference is an essential analytical technique used … Read More Read More
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Kris ReensIntelligent proxies to support health and social care for older adults.
Intelligent proxies to support health and social care for older adults.
About the Project As the ageing population continues to grow, there is increasing pressure on health and social care resources designed to support healthy ageing. Socially assistive robots (SACs) and … Read More Read More
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Jordi MartinezMultimodal Large Language Models for Audio-aware Argument Extraction
Multimodal Large Language Models for Audio-aware Argument Extraction
About the Project Supervisory Team: Dr Rafael Mestre, Dr Stuart E. Middleton, Dr Matt Ryan Project description For any democratic society, access to news and engaging in online debate are … Read More Read More
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Peter OrtmannFully Funded PhD Studentship by EPSRC-funded KUber Project in SAYED Systems Group
Fully Funded PhD Studentship by EPSRC-funded KUber Project in SAYED Systems Group
About the Project A fully funded PhD scholarship is available in SAYED Systems research group ( https://sayed-sys-lab.github.io ) within the School of EECS at Queen Mary University of London, UK. … Read More Read More
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Mary DelongFully funded PhD Scholarship in Memristive Technologies
Fully funded PhD Scholarship in Memristive Technologies
About the Project Duration of study: Full time - 4 years fixed term Starting date: Flexible, available from December 2023 Application deadline: No closing date, the position will remain open … Read More Read More
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Eric RamosCommunication Efficiency for Federated Learning in Critical Infrastructure
Communication Efficiency for Federated Learning in Critical Infrastructure
About the Project Federated learning is a machine learning approach that enables multiple parties to collaborate in developing a shared model while safeguarding the distribution and privacy of their data. … Read More Read More
Categories:Addressing Scalability Issues in Federated Learning for Critical Infrastructure
Addressing Scalability Issues in Federated Learning for Critical Infrastructure
About the Project Federated learning is a machine learning approach that enables multiple parties to collaborate in developing a shared model while safeguarding the distribution and privacy of their data. … Read More Read More
Categories:Smart Multi-Sensor Instrument for Personalized Assessment of Gait and Stability in Elderly and Frail Individuals
Smart Multi-Sensor Instrument for Personalized Assessment of Gait and Stability in Elderly and Frail Individuals
About the Project This research project aims to design, develop, and evaluate a smart multi-sensor instrument capable of personalized gait and stability assessments. Using AI approaches, the collected data will … Read More Read More
Categories:Intelligent & Privacy-preserving security solutions for Vehicular Ad-hoc Networks (VANETs)
Intelligent & Privacy-preserving security solutions for Vehicular Ad-hoc Networks (VANETs)
About the Project Vehicular Ad-hoc Networks (VANETs) have gained increasing popularity and significance within the broader context of Intelligent Transportation Systems (ITS). VANETs leverage advanced communication technologies to enable seamless … Read More Read More
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