Najma Taimoor

Dr Najma Taimoor BSc, MSc, Dipl.-Ing., PhD, FHEA

Lecturer in Computer Science (Secure Healthcare)

Najma Taimoor is a Lecturer in Computer Science and a member of the Centre for Sustainable Cyber Security (CS²) at the School of Computing and Mathematical Sciences, Faculty of Engineering and Science, University of Greenwich, UK. She contributes actively to research and teaching at the intersection of cyber security, healthcare informatics, and critical infrastructure protection. Her research focuses on designing safe, secure, and sustainable healthcare systems by employing both empirical and formal methods to address cyber safety, security, and privacy challenges in socio-technical systems.

Najma recently completed her PhD in Computer Science at the University of Greenwich, where her work advanced methodologies for secure and trustworthy healthcare technologies. Prior to that, she was a Research Assistant in the School of Design and Creative Industries at Greenwich, playing a key role in the EU-funded EYES project.

She also holds a master’s degree in healthcare and IT (with Distinction) from the University of Applied Sciences, Austria. Her Erasmus-funded thesis was developed under the supervision of Prof. Lilian H. Tang at the University of Surrey, UK. Alongside her academic work, Najma has industry experience with companies such as Technocert (Austria), where she was involved in developing smart cyber-physical systems for critical infrastructures.

Her research has been published in esteemed journals and conferences including IEEE Access and DSD. In addition to leading several undergraduate and postgraduate modules at the University of Greenwich, she is a Fellow of the Higher Education Academy (HEA), UK and has successfully mentored staff members in achieving HEA fellowships. Najma has taught culturally and technically diverse cohorts at institutions in Pakistan, Qatar, Austria, and the UK, with a strong commitment to inclusive, practice-informed computing education.

Responsibilities within the university

  • Module leader for Operating System
  • Module leader for Principles of Software Engineering

Awards

Scholarship Grants

2018-1: TU Wien “Responsible and Ethical AI” (2022), DSD “Modelling of Multi-Level Personalised Health Condition” (2022) & TU Wien “Modelling Trust in AI” (2021).

Funded Projects

Reliable and Resilient Personalized Healthcare Services
Duration: 2020-2023
Role : Doctoral Student

The project aims to develop reliable and resilient IoT-based personalized healthcare services.

Ex Machina: The Emergence of the Legal Tech Industry and Future of the Legal Profession
Funding: HEIF (Higher Education Innovation Fund) UK
Duration: 2021
Role: Research Assistant

The proposed project aims to provide a study on the emerging legal-tech industry, addressing the legal and technical aspects of innovative data-driven tools in the legal profession. The project is funded by HEIF UK and costs approximately £25K. For current activities of the project, please visit here.

Rigorous Diagnosis of Retinal Vessel Diseases
Funding: Erasmus Grant jointly with University of Surrey, UK
Duration: 2019
Role: Project Assistant

The goal of this project was to develop a classifier that can rigorously diagnose selected retina diseases based on medical reasoning and data driven image analysis. The classifier diagnosed a disease not only on the basis of image data but will also employ medical reasoning to certify the initially determined diagnosis by the classifier.

Recognition

  • Outstanding Feedback Award (Student Led Teaching Award)
  • Nominated for Rising Star Award and Student Success Award for Staff Awards 2025
Invited talks

TU Wien “Responsible and Ethical AI” (2022), DSD “Modelling of Multi-Level Personalised Health Condition” (2022) & TU Wien “Modelling Trust in AI” (2021).

Research / Scholarly interests

Research Topics

  • Safe and Secure Cyber Physical Systems
  • Reliable and Secure Healthcare
  • Artificial Intelligence and Data Analysis
  • Reliability, resilience, and Security of Computing Systems

Recent publications

Article

Taimoor, Najma and , Rehman, Semeen (2021), Reliable and resilient AI and IoT-based personalised healthcare services: A survey. IEEE. In: , , , . IEEE, IEEE Access, 10 . pp. 535-563 2169-3536 (Online) (doi: https://doi.org/10.1109/ACCESS.2021.3137364).

Conference proceedings

Taimoor, Najma and , Rehman, Semeen (2023), On the Validation of Multi-Level Personalised Health Condition Model. IEEE. In: 2022 25th Euromicro Conference on Digital System Design (DSD), , , 2022 25th Euromicro Conference on Digital System Design (DSD). IEEE, . pp. 599-606 . ISBN: 9781665474054ISSN: 2639-3859 (Print), 2771-2508 (Online) (doi: https://doi.org/10.1109/DSD57027.2022.00086).

Taimoor, Najma and , Rehman, Semeen (2022), Towards Multi-Level Modelling and Monitoring of Real-time Personalised Health Conditions. IEEE. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), , , 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, . pp. 1-8 . ISBN: 9781665499972 (doi: https://doi.org/10.1109/ETFA52439.2022.9921687).