Tejal Shah

About

Tejal is a Lecturer in Informatics and member of the Networked and Ubiquitous Systems Engineering (NUSE) group and is the Responsible Innovation Director for the EPSRC National Edge AI Hub. Her research interests include knowledge representation and reasoning in the context of Semantic Web, focusing on application of ontologies to domains with complex data modelling and analytics requirements such as IoT and healthcare. She has led on design and delivery of multi-disciplinary CPD programmes and developed the first degree apprenticeship programmes in the school.

Education

• PhD in Computer Science, University of New South Wales, Sydney, Australia
• Master of Health Informatics, University of Sydney, Sydney, Australia
• Bachelor of Dental Surgery, Government Dental College and Hospital, Mumbai, India

Selected publications

• Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
• Laser: Efficient Language-Guided Segmentation in Neural Radiance Fields
• D2Fusion: Dual-domain fusion with feature superposition for Deepfake detection
• Digital literacy in undergraduate pharmacy education: a scoping review
• Explainable AI (XAI): Core Ideas, Techniques and Solutions
• FedMSA: A Model Selection and Adaptation System for Federated Learning
• An ontology-based system for discovering landslide-induced emergencies in electrical grid
• Use of social media data in disaster management: A survey
• Semantic Node-RED for rapid development of interoperable industrial IoT applications
• SAREF4INMA: A SAREF extension for the industry and manufacturing domain