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semantic PhD Projects, Programmes & Scholarships
We have 25 semantic PhD Projects, Programmes & Scholarships
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Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Streaming Data and Applications
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computing entities. Read more
Semantic random-access technology for future wireless ecosystems
This PhD project will research into new technical innovations that can embrace today’s machine learning advances into a process of designing and managing wireless communications for emergent AI agents, where they will mimic human ability to effectively learn, fine-tune and adapt skills of conveying semantic information. Read more
A unified approach based on semantic models and continuous deep learning to sensor data uncertainty and inconsistency in smart systems - Project ID SOC0025
Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity. Read more
Data Lake Exploration with Modern Artificial Intelligence Techniques
Data Lakes are emerging as data management infrastructures for storing data in various schemata and structural forms. Read more
Curating Biomedical Ontologies with Modern AI Techniques
An ontology is a formal, explicit and shared representation of conceptual knowledge, varying from simple tree-like taxonomies and graph structured semantic networks to complicated modern OWL ontologies underpinned by Description Logics (DL). Read more
A computer vision model to detect black mold
The goal of this PhD project is to develop cutting-edge computer vision models that can effectively detect black mold in various environments. Read more
Development of Cognitive Digital Twin for Predictive Maintenance of Building Facilities
As an emerging concept, digital twins have been adopted to save costs and improve reliabilities in many different industries, including the Architecture, Engineering and Construction (AEC) industry. Read more
Explainable AI: Making Machine/Deep Learning models explainable
Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
Explainable AI: Making Machine/Deep Learning models explainable
Traditional Artificial Intelligence(AI) technologies such as Machine/Deep learning used in developing intelligent/smart solutions largely rely on utilising best representative test datasets and features engineering and less on the available domain expertise. Read more
Geographic Question Answering on Knowledge Graphs [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Knowledge Graphs (KG) on the Semantic Web are a representation of linked data that are collected from structured and unstructured sources and used by question-answering… Read more
Fluency and Context in Recognition Memory
This project relates to a sort of ‘memory illusion’. On a recognition memory test, increasing the perceptual fluency of a test cue increases the likelihood that the word will be endorsed as ‘familiar’, even if it hasn’t been seen in the study phase (and therefore should have been called ‘new’). Read more
Understanding multilingualism: Cognitive, linguistic or social aspects of coordinating knowledge about multiple languages
PLEASE NOTE. This project is for self-funded or externally sponsored students only. We invite applications from strong and motivated candidates to our highly interdisciplinary PhD project on language processing in multilingual contexts. Read more
Topics in the Philosophy of Information: Investigating the Philosophical Bases and Implications of Information Technologies
Philosophy of information is one of the most exciting and innovative developments in contemporary thought. Read more
Intelligent, Interpretable and Adaptive Design of Steel Structures using Deep Learning and NLP
The overall aim of this research is to develop a smart design assistant which is able to intuitively perform the design of complex steel structures to Eurocode Standards. Read more
Machine Learning with Ontologies for Supporting the Management of Mental Health Problems and Disorders [Self Funded Students Only]
According to Mind [1], 1 in 4 people will experience a mental health problem of some kind each year and 1 in 6 will report experiencing a common mental… Read more
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