School of Science, Engineering & Environment

A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments (2022)
Presentation / Conference
Geekiyanage, D., Fernando, T., & Keraminiyage, K. (2022, November). A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments. Paper presented at AUBEA 2022 - The 45th Australasian Universities Building Education Association Conference, Western Sydney University, Australia

Community-inclusive decision-making in developing equitable and risk-sensitive developments,particularly in urban settings, is becoming trending for achieving sustainable development goals(particularly SDG 10 and 11) set by the United Nations in 2015... Read More about A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments.

In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction (2022)
Presentation / Conference
Arrigo, R. (2022, November). In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction. Presented at Proceedings of International Conference on Frontiers in Electrocatalytic Transformations (INTERECT22), València, Spain

Graphitic materials are largely explored as redox-active supports for metal species in acid/base catalysis, redox catalysis and electrocatalysis. [1] Edge terminations and in-plane point defects, such non 6-membered rings and vacancies on the basal p... Read More about In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction.

The adoption of metaverse systems: a hybrid SEM - ML method (2022)
Presentation / Conference
AlHamad, A., Alomari, K., Alshurideh, M., Al Kurdi, B., Salloum, S., & Al-Hamad, A. (2022, November). The adoption of metaverse systems: a hybrid SEM - ML method. Presented at 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives

Seeing high-tech medical devices from other nations and witnessing surgery to learn has become nearly unattainable. The pandemic of coronavirus disease 2019 (COVID-19) has created cross-border medical education challenging. Nevertheless, to cater to... Read More about The adoption of metaverse systems: a hybrid SEM - ML method.

Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems (2022)
Presentation / Conference
Sugar-Gabor, O., & Fairchild, D. (2022, October). Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems. Presented at International Conference of Aerospace Sciences AEROSPATIAL 2022, INCAS, Bucharest, Romania

A non-intrusive reduced-order model applicable to time-dependent parametric systems is developed. The model is based on extracting a reduced-order basis from high-order snapshots via proper orthogonal decomposition. Multi-layered feedforward artifi... Read More about Non-intrusive reduced-order model for unsteady fluid flow and fluid-structure interaction problems.

Active flux scheme for time-dependent, viscous, compressible flows (2022)
Presentation / Conference
Sugar-Gabor, O. (2022, October). Active flux scheme for time-dependent, viscous, compressible flows. Presented at International Conference of Aerospace Sciences AEROSPATIAL 2022, INCAS, Bucharest, Romania

The Active Flux scheme is a Finite Volume scheme with additional degrees of freedom on the cell boundaries. These additional nodes allow for third-order accuracy to be achieved, though extensions to higher orders are also possible. Unlike Godunov-t... Read More about Active flux scheme for time-dependent, viscous, compressible flows.

Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G (2022)
Presentation / Conference
Bunu, S., Saraee, M., & Alani, O. (2022, September). Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G. Presented at The 4th International Conference on Electrical Engineering and Informatics (ICELTICs) 2022, Banda Aceh, Indonesia

Device to Device (D2D) communication in Fifth Generation (5G) and unavoidable in Beyond Fifth Generation (B5G) technology is designed to increase network capacity by offloading backhaul links and base stations traffic and improving the performanc... Read More about Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G.

The Esports Metaverse (2022)
Presentation / Conference
Miah, A. (2022, September). The Esports Metaverse. Presented at Host City, Glasgow

Deep learning-based predictions of process parameters for thick composites laminates manufacturing (2022)
Presentation / Conference
Ammasai Sengodan, G., Hoang Luong, M., & A Ponnusami, S. (2022, September). Deep learning-based predictions of process parameters for thick composites laminates manufacturing

In a composite manufacturing process, the tool geometry and thermal characteristics of the bagging materials dictate the heat transfer mechanism. The temperature distribution, resin chemical kinetics and residual thermal strains determine the cured p... Read More about Deep learning-based predictions of process parameters for thick composites laminates manufacturing.

3D gaze in virtual reality: vergence, calibration, event detection (2022)
Presentation / Conference
Duchowski, A., Krejz, K., Volonte, M., Hughes, C., Brescia-Zapata, M., & Orero, P. (2022, September). 3D gaze in virtual reality: vergence, calibration, event detection. Presented at 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), Verona, Italy

Eye movement analysis in modern 3D rendering systems is reviewed and three new techniques are derived inspired by work developed in early Virtual Reality so-called 2:5D implementations, namely (a) gaze depth (i.e., vergence) estimation, (b) vergence... Read More about 3D gaze in virtual reality: vergence, calibration, event detection.

Outputs (31)