Projects per year
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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Projects
SMEmPower Efficiency: A holistic framework for Empowering SME's capacity to increase their energy efficiency
Dawood, N., Rodriguez, S. & Dawood, H.
1/09/19 → 31/08/22
Project: Research
Integrated Smart GRID Cross-Functional Solutions for Optimized Synergetic Energy Distribution, Utilization Storage Technologies
Dawood, N., Crosbie, T., Vukovic, V., Dawood, H., Dawood, M. & Tuncer, H.
1/01/17 → 31/12/20
Project: Research
Transforming Construction Network Plus: ‘Putting people at the heart of future social housing design and manufacture’
Dawood, N., Van Schaik, P., Rodriguez, S. & Dawood, H.
1/07/19 → 31/03/20
Project: Research
DR-BOB: Demand Response in Blocks of Buildings
Crosbie, T., Dawood, H., Dawood, M., Dawood, N., Rodriguez, S., Short, M., Tabany, M. & Vukovic, V.
1/03/16 → 28/02/19
Project: Research
Research Output
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 proceeding › Conference 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 proceeding › Conference contribution
Open Access
File
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 journal › Article
Open Access
File
The impact of data segmentation on modelling building energy usage
Mounter, W., Dawood, N. & Dawood, H., 9 Sep 2019.Research output: Contribution to conference › Paper
Open Access
File
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 proceeding › Conference contribution
Open Access
Press / Media
New Zealand unveiling for Tees system set to ‘revolutionalise’ construction industry
21/11/18
1 Media contribution
Press/Media: Press / Media
Tees firm constructing a potential game changer
29/11/16
1 Media contribution
Press/Media: Press / Media
Transforming Construction Plus Network Conference-Mobilising for change: construction transformation’s first followers set out the next steps
19/09/19
1 Media contribution
Press/Media: Press / Media