Research output per year

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Personal profile

Research Projects & External Funding

Huda Dawood is a senior research associate in the school of Computing, Engineering and Digital Technologies (SCEDT). Her research interests and experience includes data analytics and using Artificial Intelligence Machine learning and deep learning for optimization and predictive control.

She has research experience in mathematical modelling of dynamic processes using adaptive algorithms such as Artificial Intelligence Neural Network systems for learning and well as solving, classification, prediction, and control. She also has experience in adaptive multivariate statistical process control for monitoring dynamic processes.

Currently is working on three projects including H2020 European Projects, inteGRIDy, SMEmPower Efficiency and EPRC Transforming Construction Network Plus. She also lectures in Engineering Mathematics and supervised PhD students.

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Research Output

  • 5 Conference contribution
  • 5 Paper
  • 3 Article
  • 1 Commissioned report

A Conceptual Framework For Integrating User Experience With Design Parameters For Residential Buildings

Hafeez, M. A., Van Schaik, P., Dawood, H., Rodriguez, S., Patacas, J. & Dawood, N., 13 Nov 2019, CONVR 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Augmenting building energy usage models with data segmentation

Mounter, W., Dawood, H. & Dawood, N., 22 Nov 2019, CONVR2019. Teesside University, 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
  • 3 Downloads (Pure)

    Integrating IFC and NLP for automating change request validations

    Dawood, H., Siddle, J. & Dawood, N., 8 Dec 2019, In : Journal of Information Technology in Construction. 24, p. 540-552 13 p., 30.

    Research output: Contribution to journalArticle

    Open Access
  • 94 Downloads (Pure)

    The impact of data segmentation on modelling building energy usage

    Mounter, W., Dawood, N. & Dawood, H., 9 Sep 2019.

    Research output: Contribution to conferencePaper

    Open Access
  • 2 Downloads (Pure)

    Automating Change Request Validation Using Industry Foundation Classes and Natural Language Processing

    Dawood, H., Siddle, J., Vukovic, V. & Dawood, N., 22 Nov 2018, Proceedings of the 18th International Conference on Construction Applications of Virtual Reality. Amor, R. & Dimyadi, J. (eds.). University of Auckland, p. 196-205 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • Press / Media