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Staff Profile

Dr Tejal Shah

Director of Education

  • Email: tejal.shah@ncl.ac.uk
  • Address: School of Computing,
    Urban Sciences Building,
    Newcastle University,
    Newcastle upon Tyne,
    NE4 5TG
Background

Tejal is the Director of Education in the School of Computing leading on the learning and teaching strategy and is responsible for the quality of education within the school. She is a Lecturer in Informatics and member of the Networked and Ubiquitous Systems Engineering (NUSE) group.

Previously, Tejal has led on the design and delivery of multi-disciplinary Continuing Professional Development programmes that focus on digital skills and knowledge development across various domains including the accredited Health Informatics CPD programme. She has also delivered a keynote talk, "Demystify SNOMED CT: Training Considerations" at the April 2021 Business Meetings, SNOMED International, which is a major international conference with participation from over 80 countries that have adopted SNOMED CT for health data management and analysis.

She was a core member of the interdisciplinary team that developed the first degree apprenticeship programmes in the school - level 7 Digital and Technology Solutions Specialist Integrated Degree Apprenticeship programmes (Cyber Security, Data Analytics, and Software Engineering specialisms) - and undertook the role of skills coach for the degree apprentices on the Cyber Security and Software Engineering specialisms as well as being the deputy DPD for the latter specialism.

Tejal joined Newcastle University in 2017, having just completed her PhD, as a Research Associate in the Institute of Health and Society, working on the Connected Health Cities (CHC) programme where she was involved in designing computational models for consent and application of Semantic Web Technologies for data harmonisation and integration for patient data analysis. Prior to joining Newcastle University, she was a Research Assistant in the School of Information Technologies at the University of Sydney where she worked on the implementation of SNOMED CT in the in-house health information system that was developed as part of a research project.

Tejal is a Fellow of the British Computing Society (FBCS) and Fellow of the Higher Education Academy (FHEA).

Funding:

  1. R. Ranjan (PI), O. Rana, T. Shah, C. Maple, G. Morgan, T. Szydlo, E. Solaiman, V. Ojha et al. National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality, EPSRC, EP/Y028813/1, February 2024 - January 2029, £15,000,000 - FEC (incl. contributions from industry partners).
  2. M. Forshaw (PI), T. Shah, R. Valentine, S. Marsham, M. Devlin, Short Course Trial on Digital Healthcare (Health Informatics), Department for Education and Office for Students for Higher Education, 2021, £201,617.

Qualifications:

  • PhD in Computer Science - University of New South Wales, Sydney, Australia (jointly funded by CSIRO and Australian Postgraduate Awards Scholarship)
  • Master of Health Informatics - University of Sydney, Sydney, Australia (recipient of University of Sydney Dean's Scholar Award and NSW Health Department's Prize for Academic Excellence in Health Informatics)
  • Bachelor of Dental Surgery - Government Dental College and Hospital, Mumbai, India.


Teaching

Postgraduate teaching

Module Lead:

CSC8426 Emerging Technologies

CSC8415 Strategic Case Studies (Ethical, Legal, and Social considerations in digital innovation)

Lecturer:

CSC8112 Internet of Things

Research

Tejal's research interests include knowledge representation and reasoning in the context of Semantic Web. Her research focus is on the application of ontologies to domains with complex data modelling and analytics requirements such as IoT and healthcare. Specific use cases include smart urban planning such as hazard prediction, cybersecurity risk prediction in autonomous vehicle infrastructure, circular supply chain information standardisation, transfer learning for smart buildings, autonomous decision explainability, and digital health. She is currently supervising 1 and co-supervising 7 doctoral students on the following topics:

  • Automated Threat Prediction and Healing for Electrical Vehicle Charging Station
  • Facilitating interoperability in circular supply chains through standardisation
  • Lifelong Learning and Data Imputation on Resource-Constrained Edge and TinyML Devices
  • Adaptive Federated and Distributed Machine Learning in Open-world Scenarios
  • Anomaly Detection and Root-cause analysis of Hadoop Applications using Machine Learning
  • Integrating digital health into undergraduate pharmacy curricula
  • Risk modelling and cyber threat analysis for Electric Vehicle charging ecosystem

Publication list:

Publications