麻豆传媒

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 .

Previously, Tejal was the co-Director of Education (with Jennifer Warrender) in the School of Computing leading on the learning and teaching strategy and was responsible for the quality of education within the school. She 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 that she developed for Health Education England (now NHS England) North East. 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.

Tejal joined 麻豆传媒 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. In CHC she worked on designing computational models for consent and application of Semantic Web Technologies for data harmonisation and integration for patient data analysis. Prior to joining 麻豆传媒, 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, J. McCann, T. Szydlo, E. Solaiman, P. James, et al. , EPSRC, EP/Y028813/1, February 2024 - January 2029, £15,000,000 - FEC (incl. contributions from industry partners).
2. T. Szydlo (PI), D. Jha, T. Shah, V. Ojha, R. Ranjan, 6G Driven Smart Robots in Disaster Management Scenarios, 6G-PATH EU, March 2025 - August 2026, £60,000.
3. 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.

Keynote talks:

1. "Demystify SNOMED CT: Training Considerations", SNOMED International 2021.
2. "Responsible AI at the Edge: Building Trust, Security, and Sustainability", ICAIGC 2025.

Qualifications:

• PhD in Computer Science - University of New South Wales, Sydney, Australia (joint scholarship by CSIRO and Australian Postgraduate Awards)
• 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.

Postgraduate teaching

Module Lead:

CSC8415 Foundations for Responsible Digital Innovation

Lecturer:

CSC8112 Internet of Things

Past modules:

CSC8426 Emerging Technologies

Upcoming modules:

CSC8801: AI Fundamentals and Responsible Innovation (co-ML)

CSC8802: Safe and Trustworthy AI

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 has supervised 4 PhD students to completion and is currently supervising 14 on topics including:

• Scalable and Continuous Federated Learning on Edge-Cloud Computing
• Automated Threat Prediction and Healing for Electrical Vehicle Charging Station
• Ontology-based Cyber Threat Intelligence Modelling and Reasoning for Autonomous Vehicles
• Facilitating interoperability in circular supply chains through standardisation
• Symbolic reasoning to improve AI trustworthiness in safety-critical systems
• Neurosymbolic AI for explainable diagnostic predictions
• Lifelong Learning and Data Imputation on Resource-Constrained Edge and TinyML Devices
• Knowledge-based reasoning for distinguishing cyber threats and faults in ADAS
• Adversarial attacks on Artifical Intelligence
• Log-based Analysis Frameworks on Big Data Systems
• Enhancing Intelligence with Internet of Things
• Adaptive Zero Trust Security Framework for Heterogeneous IoT–Edge–Cloud Systems

Publication list:

• Articles

  • Miao X, Duan Haoran, Bai Y, Shah T, Song J, Long Y, Ranjan R, Shao Ling. . IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2025, 47(5), 3922-3934.
  • Qiu X, Miao X, Wan F, Duan H, Shah T, Ojha V, Long Y, Ranjan R. . Information Fusion 2025, 120, 103087.
  • Mashael Alowais M, Rudd G, Besa V, Nazar H, Shah T, Tolley C. . Journal of the American Medical Informatics Association 2024, 31(3), 732-745.
  • Dwivedi R, Dave D, Naik H, Singhal S, Rana O, Patel P, Qian B, Wen Z, Shah T, Morgan G, Ranjan R. . ACM Computing Surveys 2023, 55(9), 1–33.
  • Sun R, Li Y, Shah T, Sham RWH, Szydlo T, Qian B, Thakker D, Ranjan R. . Sensors 2022, 22(19), 7244.
  • Phengsuwan J, Shah T, Sun R, James P, Thakker D, Ranjan R. . Transactions on Emerging Telecommunications Technologies 2022, 33(3), e3899.
  • Phengsuwan J, Shah T, Thekkummal NB, Wen Z, Sun R, Pullarkatt D, Thirugnanam H, Ramesh MV, Morgan G, James P, Ranjan R. . Future Internet 2021, 13(2), 46.
  • Thakker D, Patel P, Intizar Ali M, Shah T, Thuluva AS, Anicic D, Rudolph S, Adikari M. . Semantic Web 2020, 11(6), 949-975.
  • Thakker D, Patel P, Intizar Ali M, Shah T, De Roode M, Fernandez-Izquierdo A, Daniele L, Poveda-Villalon M, Garcia-Castro R. . Semantic Web 2020, 11(6), 911-926.
  • Phengsuwan J, Shah T, James P, Thakker D, Barr S, Ranjan R. . Computing 2020, 102, 745-763.
  • Ramirez-Duran VJ, Berges I, Illarramendi A. ExtruOnt: An ontology for describing a type of manufacturing machine for Industry 4.0 systems. Semantic Web 2020, 11(6), 887-909.
  • Thakker D, Patel P, Intizar Ali M, Shah T, Cao Q, Samet A, Zanni-Merk C, De Bertrand De Beuvron F, Reich C. . Semantic Web 2020, 11(6), 927-948.
  • Shah T, Wilson L, Booth N, Butters O, McDonald J, Common K, Martin M, Minion J, Burton P, Murtagh M. . Public Money and Management 2019, 39(5), 359-363.
  • Ke H, Chen D, Li X, Tang Y, Shah T, Ranjan R. . IEEE Access 2018, 6, 14722-14733.
  • Varghese B, Villari M, Rana O, James P, Shah T, Fazio M, Ranjan R. . IEEE Cloud Computing 2018, 5(6), 9-20.
  • Ke H, Chen D, Shah T, Liu X, Zhang X, Zhang L, Li X. . Software - Practice and Experience 2018, Epub ahead of print.
  • Garg S, Aryal J, Wang H, Shah T, Kecskemeti G, Ranjan R. . Future Generation Computer Systems 2018, 79(1), 354-363.
  • Han W, Deng Z, Chu J, Zhu J, Gao P, Shah T. . Computing 2018, 100(1), 3-20.
  • Shah T, Yavari A, Saguna S, Mitra K, Jayaraman PP, Rabhi F, Ranjan R. . IET Cyber-Physical Systems: Theory & Applications 2016, 1(1), 40-48.
  • Sun S, Song W, Zomaya AY, Xiang Y, Choo KKR, Shah T, Wang L. . Future Generation Computer Systems 2016, 76, 499-509.
  • Shah T, Rabhi F, Ray T. . Cluster Computing 2015, 18(1), 351-367.

• Conference Proceedings (inc. Abstracts)

  • Sun R, Duan H, Dong J, Ojha V, Shah T, Ranjan R. . In: 45th IEEE International Conference on Distributed Computing Systems (IEEE ICDCS 2025). 2025, Glasgow: IEEE.
  • Al-Ameen S, Sudharsan B, Al-Taie R, Shah T, Ranjan R. . In: 2024 IEEE International Conference on Big Data (IEEE BigData 2024). 2025, Washington DC, USA: IEEE.
  • Zhang Y, Duan H, Sun R, Cheng Y, Shah T, Ranjan R, Wei B. . In: 39th Annual AAAI Conference on Artificial Intelligence (AAAI-25). 2025, Philadelphia, PA, USA: Association for the Advancement of Artificial Intelligence.
  • Adu-Duodu K, Wilson S, Li Y, Oladimeji A, Huraysi T, Barati M, Perera C, Solaiman E, Rana O, Ranjan R, Shah T. . In: 40th ACM/SIGAPP Symposium On Applied Computing (SAC 2025). 2025, Sicily, Italy: ACM.
  • Al-Ameen S, Sudharsan B, Vijaykumar T, Szydlo T, Shah T, Ranjan R. . In: 2024 IEEE International Conference on Big Data (BigData). 2024, Washington DC, USA: IEEE.
  • Duan H, Rui S, Ojha V, Shah T, Huang Z, Ouyang Z, Huang Y, Long Y, Ranjan R. . In: International Joint Conference on Neural Networks (IJCNN 2024). 2024, Yokohama, Japan: IEEE.
  • Al-Ameen S, Sudharsan B, Szydlo T, Al-Taie R, Shah T, Ranjan R. . In: IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC ’23). 2023, Taormina (Messina), Italy: Association for Computing Machinery.
  • Xie X, Herrera M, Shah T, Kassem M, James P. . In: Proceedings LDAC2023 - 11th Linked Data in Architecture and Construction. 2023, Matera, Italy: CEUR Workshop Proceedings.
  • Wen Z, Phengsuwan J, Thekkummal NB, Sun R, Jamathi-Chidananda P, Shah T, James P, Ranjan R. . In: CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020, Ireland Virtual: ACM.
  • Jayaraman PP, Mitra K, Saguna S, Shah T, Georgakopoulos D, Ranjan R. . 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. . In: 47th Hawaii International Conference on System Sciences. 2014, Waikoloa, HI, USA: IEEE.
  • 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.
  • 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.

• Review

  • Thakker D, Patel P, Ali MI, Shah T. . Semantic Web 2020, 11(6), 885-886.