Profile
Dr Tejal Shah
Lecturer in Informatics
- Email: tejal.shah@ncl.ac.uk
- Address: School of Computing,
Urban Sciences Building,
Newcastle University,
Newcastle upon Tyne,
NE4 5TG
Background
Tejal is a Lecturer in Informatics in the School of Computing at Newcastle University and a Fellow of the Higher Education Academy.
She leads 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 Health Informatics CPD programme. It is the first Health Informatics educational programme in the UK to be accredited by the Faculty of Clinical Informatics (FCI). The programme is the first case study in the implementation of the national core competency framework for Clinical Informatics developed by the faculty. Tejal is a core member of the FCI's Competency Framework Working Group that is responsible for developing a plan for the national Clinical Informatics Core Competency Framework to be implemented in practice and she also serves on the FCI's Education & Standards Committee, which provides guidance on matters concerning educational and professional standards for Health/Clinical Informatics in the UK.
Tejal also teaches on the the Cyber Security and Software Engineering specialisms in the level 7 Digital and Technology Solutions Specialist Integrated Degree Apprenticeship programme and supervises the apprentices on these programmes.
Previously, Tejal was a Research Associate in the Institute of Health and Society at Newcastle University working on the Connected Health Cities (CHC) Programme where she was involved in designing computational models for consent. 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.
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 for:
CSC8426 Emerging Technologies
Lecturer for:
CSC8415: Strategic Case Studies,
CSC8419: Capstone Project for Cyber Security Degree Apprenticeship
CSC8429: Capstone Project for Software Engineering Degree Apprenticeship
Supervision
CSC8429: Capstone Project for Software Engineering Degree Apprenticeship
CSC8099: Project and Dissertation for MSc Computer Science
CSC8199: Project and Dissertation for MSc Cloud Computing
CSC3031/3032: Research and Project Skills/Major Project in Computer Science
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.
She is currently co-supervising 2 doctoral students on data management for IoT applications (EV) and the development and application of semantic technologies to energy systems respectively. She has co-supervised 1 doctoral student to completion who worked on semantic technologies for natural hazard management systems.
Publications
- Phengsuwan J, Shah T, Thekkummal NB, Wen Z, Sun R, Pullarkatt D, Thirugnanam H, Ramesh MV, Morgan G, James P, Ranjan R. Use of social media data in disaster management: A survey. Future Internet 2021, 13(2), 46.
- Wen Z, Phengsuwan J, Thekkummal NB, Sun R, Jamathi-Chidananda P, Shah T, James P, Ranjan R. Active Hazard Observation via Human in the Loop Social Media Analytics System. In: CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020, Ireland Virtual: ACM.
- Phengsuwan J, Shah T, Sun R, James P, Thakker D, Ranjan R. An ontology-based system for discovering landslide-induced emergencies in electrical grid. Transactions on Emerging Telecommunications Technologies 2020, epub ahead of print.
- Thakker D, Patel P, Intizar Ali M, Shah T, Cao Q, Samet A, Zanni-Merk C, De Bertrand De Beuvron F, Reich C. Combining chronicle mining and semantics for predictive maintenance in manufacturing processes. Semantic Web 2020, 11(6), 927-948.
- Phengsuwan J, Shah T, James P, Thakker D, Barr S, Ranjan R. Ontology-based discovery of time-series data sources for landslide early warning system. Computing 2020, 102, 745-763.
- Thakker D, Patel P, Intizar Ali M, Shah T, De Roode M, Fernandez-Izquierdo A, Daniele L, Poveda-Villalon M, Garcia-Castro R. SAREF4INMA: A SAREF extension for the industry and manufacturing domain. Semantic Web 2020, 11(6), 911-926.
- Thakker D, Patel P, Intizar Ali M, Shah T, Thuluva AS, Anicic D, Rudolph S, Adikari M. Semantic Node-RED for rapid development of interoperable industrial IoT applications. Semantic Web 2020, 11(6), 949-975.
- Thakker D, Patel P, Ali MI, Shah T. Semantic Web of Things for Industry 4.0. Semantic Web 2020, 11(6), 885-886.
- Shah T, Wilson L, Booth N, Butters O, McDonald J, Common K, Martin M, Minion J, Burton P, Murtagh M. Information-sharing in health and social care: Lessons from a socio-technical initiative. Public Money and Management 2019, 39(5), 359-363.
- Han W, Deng Z, Chu J, Zhu J, Gao P, Shah T. A parallel online trajectory compression approach for supporting big data workflow. Computing 2018, 100(1), 3-20.
- Garg S, Aryal J, Wang H, Shah T, Kecskemeti G, Ranjan R. Cloud computing based bushfire prediction for cyber-physical emergency applications. Future Generation Computer Systems 2018, 79(1), 354-363.
- Ke H, Chen D, Shah T, Liu X, Zhang X, Zhang L, Li X. Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. Software - Practice and Experience 2018, Epub ahead of print.
- Varghese B, Villari M, Rana O, James P, Shah T, Fazio M, Ranjan R. Realizing Edge Marketplaces: Challenges and Opportunities. IEEE Cloud Computing 2018, 5(6), 9-20.
- Ke H, Chen D, Li X, Tang Y, Shah T, Ranjan R. Towards Brain Big Data Classification: Epileptic EEG Identification with a Lightweight VGGNet on Global MIC. IEEE Access 2018, 6, 14722-14733.
- Sun S, Song W, Zomaya AY, Xiang Y, Choo KKR, Shah T, Wang L. Associative retrieval in spatial big data based on spreading activation with semantic technology. Future Generation Computer Systems 2016, 76, 499-509.
- Shah T, Yavari A, Saguna S, Mitra K, Jayaraman PP, Rabhi F, Ranjan R. Remote healthcare cyber-physical system:quality of service (QoS) challenges and opportunities. IET Cyber-Physical Systems: Theory & Applications 2016, 1(1), 40-48.
- Shah T, Rabhi F, Ray T. Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions. Cluster Computing 2015, 18(1), 351-367.
- Jayaraman PP, Mitra K, Saguna S, Shah T, Georgakopoulos D, Ranjan R. Orchestrating Quality of Service in the Cloud of Things Ecosystem. In: 2015 IEEE International Symposium on Nanoelectronic and Information Systems. 2015, Indore, India: Institute of Electrical and Electronics Engineers.
- Shah T, Rabhi F, Ray P, Taylor K. A guiding framework for ontology reuse in the biomedical domain. In: 47th Hawaii International Conference on System Sciences. 2014, Waikoloa, HI, USA: IEEE.
- Shah T, Rabhi F, Ray P, Taylor K. Enhancing automated decision support across Medical and Oral Health domains with semantic web technologies. In: 24th Australasian Conference on Information Systems (ACIS). 2013, Melbourne, Australia: RMIT University.
- Shah T, Rabhi F, Ray P. OSHCO: A cross-domain ontology for semantic interoperability across medical and oral health. In: 15th International Conference on e-Health Networking, Applications & Services (Healthcom). 2013, Lisbon, Portugal: IEEE.