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Thais Webber

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Dr Thais Webber

 https://orcid.org/0000-0002-8091-6021

    • Aston Triangle

      B4 7ET Birmingham

      United Kingdom

    Accepting PhD Students

    PhD projects

    PhD students interested in working on Digital Twin and their application to healthcare, smart cities, and other complex socio-technical systems. <br/><br/>Topics of interest include modelling and simulation, data-driven decision support, predictive analytics, what-if scenario analysis, federated intelligent systems, trustworthy AI, and digital health technologies.<br/><br/>Applications that combine technical innovation with real-world impact are particularly welcome.

    Personal profile

    Biography

    I joined Aston University as a Lecturer in Computer Science in November 2023. I completed my PhD in Computer Science in Brazil (2009) and subsequently held academic and research positions across Brazil and Europe.

    Prior to joining Aston, I worked as a Postdoctoral Research Fellow at University of St Andrews on a large European digital health project involving partners from the United Kingdom, Belgium, Cyprus, the Netherlands, and Spain, collaborating closely with healthcare organisations and multidisciplinary teams.

    My research and professional experience focus on modelling, simulation, and digital decision support for complex systems. Throughout my career, I contributed to the design and evaluation of digital technologies for healthcare and other data-intensive domains, supporting decision-making through predictive analytics, simulation, and data-driven approaches.

     

    Research Interests

    My research focuses on Digital Twins, modelling and simulation, digital health, and decision support systems. My work explores how data-driven models, simulation techniques, and digital representations of physical and organisational systems can support decision-making in complex socio-technical environments.

    A major theme of research is the design and evaluation of Digital Twin architectures, including studies in Healthcare and Intelligent systems, such as integrating patient data, clinical processes, and operational information to support better personalised care and management.

    I am particularly interested in trustworthy, equitable, and explainable Digital Twin systems, as well as federated and autonomous architectures that enable scalable and privacy-preserving decision support.

    My research also investigates predictive modelling, scenario analysis, what-if simulations, healthcare and intelligent systems performance and cybersecurity, artificial intelligence, and analytics for healthcare and smart applications.

     

    Qualifications

    PhD Computer Science, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil with partership Institut Polytechnic de Grenoble, France, 2009

    MSc Computer Science, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil, 2005

    Employment

    Lecturer in Computer Science, Aston University (November 2023 – Present)

    Postdoctoral Research Fellow, School of Computer Science, University of St Andrews (2019 – 2023)

    Lecturer and Researcher, Brazilian Higher Education Institutions (2011 – 2019)

    Research Associate, School of Computer Science, Pontifical Catholic University of Rio Grande do Sul, PUCRS (2009 – 2011)

    Teaching Activity

    Current/past teaching:

    • CS3SPM Software Project Management
    • DG4SPM Software Project Management
    • CS4820 Reliability in Software
    • CS3ECS Enterprise Computing Strategies
    • Systems Modelling and Simulation
    • Foundations in Software Engineering
    • Software Quality and Management
    • Global Software Engineering

    Supervision:

    • PhD Students
    • MSc Dissertations
    • Undergraduate Final Year Projects

    Membership of Professional Bodies

    Fellow of the Higher Education Academy (FHEA)

    Member of the Association for Computing Machinery (ACM)

    Academic/Professional Contacts

    Email: [email protected]

    Aston Main Building Office: Computer Science MB 265 E

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 4 - Quality Education
      SDG 4 Quality Education
    3. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy
    4. SDG 10 - Reduced Inequalities
      SDG 10 Reduced Inequalities

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    Collaborations and top research areas from the last five years

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    • Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations

      Constantinides, A., Belk, M., Fidas, C., Beumers, R., Vidal, D., Huang, W., Bowles, J., Webber, T., Silvina, A. & Pitsillides, A., 27 Feb 2023, In: ACM Transactions on Computing for Healthcare. 4, 1, p. 1-40 2.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File
      15   Link opens in a new tab Citations (Scopus)
      14 Downloads (Pure)

    • The Need for a Non-Invasive Technology for Endometriosis Detection and Care

      Hine, A., Bowles, J. & Webber, T., 18 May 2023, Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. Hagglund, M., Blusi, M., Bonacina, S., Nilsson, L., Madsen, I. C., Pelayo, S., Moen, A., Benis, A., Lindskold, L. & Gallos, P. (eds.). Vol. 302. p. 103-107 5 p. (Studies in Health Technology and Informatics; vol. 302).

      Research output: Chapter in Book/Published conference output › Conference publication

      Open Access
      File
      1   Link opens in a new tab Citation (Scopus)
      20 Downloads (Pure)

    • Dynamic risk assessment approach for analysing cyber security events in medical IoT networks

      M. Czekster, R., Webber, T., Bertolin Furstenau, L. & Marcon, C., Jan 2025, In: Internet of Things (Netherlands). 29, 17 p., 101437.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File
      25   Link opens in a new tab Citations (SciVal)
      54 Downloads (Pure)

    • A Secure User-Centred Healthcare System: Design and Verification

      Baranov, E., Bowles, J., Given-Wilson, T., Legay, A. & Webber, T., 15 Oct 2022, From Data to Models and Back - 10th International Symposium, DataMod 2021, Revised Selected Papers. Bowles, J., Broccia, G. & Pellungrini, R. (eds.). Springer, p. 44-60 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13268 LNCS).

      Research output: Chapter in Book/Published conference output › Conference publication

      3   Link opens in a new tab Citations (SciVal)

    • Evaluating a Smart Healthcare System Design Through Participatory Approach

      Webber, T., Bowles, J., Constantinides, A., Belk, M. & Morley, E., 31 Jul 2022, Advances in Informatics, Management and Technology in Healthcare. Mantas, J., Gallos, P., Zoulias, E., Hasman, A., Househ, M. S., Diomidous, M., Liaskos, J. & Charalampidou, M. (eds.). p. 312-315 4 p. (Studies in Health Technology and Informatics; vol. 295).

      Research output: Chapter in Book/Published conference output › Conference publication

      Open Access
      File
      1   Link opens in a new tab Citation (Scopus)
      13 Downloads (Pure)
    View all 43 research outputs