Outputs (52)

Digital twins in industry 4.0 cyber security (2024)
Conference Proceeding
Lo, C., Win, T. Y., Rezaeifar, Z., Khan, Z., & Legg, P. (2024). Digital twins in industry 4.0 cyber security. In Proceedings of the IEEE Smart World Congress 2023. https://doi.org/10.1109/swc57546.2023.10449147

The increased adoption of sophisticated Cyber Physical Systems (CPS) in critical infrastructure and various aspects of Industry 4.0 has exposed vulnerabilities stemming from legacy CPS and Industrial Internet of Things (IIoT) devices. The interconnec... Read More about Digital twins in industry 4.0 cyber security.

Towards digital-twin solutions for the 15 minute city (2023)
Conference Proceeding
Ludlow, D., Khan, Z., Chrysoulakis, N., & Mitraka, Z. (2023). Towards digital-twin solutions for the 15 minute city. In 2023 Joint Urban Remote Sensing Event (JURSE). https://doi.org/10.1109/jurse57346.2023.10144161

The Covid-19 pandemic and the climate emergency have re-emphasised the need to re-evaluate urban governance and planning process in cities. The "new-normal"and digital transformations offer catalysts to drive and deliver climate mitigation in cities.... Read More about Towards digital-twin solutions for the 15 minute city.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article
Akinosho, T. D., Bilal, M., Hayes, E. T., Ajayi, A., Ahmed, A., & Khan, Z. (2023). Deep learning-based multi-target regression for traffic-related air pollution forecasting. Machine Learning with Applications, 12, Article 100474. https://doi.org/10.1016/j.mlwa.2023.100474

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

Copernicus for urban resilience in Europe: Final results from the CURE project (2023)
Presentation / Conference
Chrysoulakis, N., Ludlow, D., Mitraka, Z., Somarakis, G., Khan, Z., Lauwaet, D., …Holt Andersen, B. (2023, April). Copernicus for urban resilience in Europe: Final results from the CURE project. Presented at European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria

A major challenge for the urban community is the exploitation of Earth Observation intelligence in managing in the multidimensional nature of urban sustainability towards enhancing urban resilience, particularly in relation to the challenges of clima... Read More about Copernicus for urban resilience in Europe: Final results from the CURE project.

SIGNED: Smart cIty diGital twiN vErifiable data framework (2023)
Journal Article
Pervez, Z., Khan, Z., Ghafoor, A., & Soomro, K. (2023). SIGNED: Smart cIty diGital twiN vErifiable data framework. IEEE Access, 11, 29430-29446. https://doi.org/10.1109/ACCESS.2023.3260621

Smart city digital twins can provide useful insights by making effective use of multidisciplinary urban data from diverse sources. Whilst these insights provide new information that helps cities in decision making, verifying the authenticity, integri... Read More about SIGNED: Smart cIty diGital twiN vErifiable data framework.

A review of learning theories and models underpinning technology-enhanced learning artefacts (2020)
Journal Article
Hammad, R., Khan, Z., Safieddine, F., & Ahmed, A. (2020). A review of learning theories and models underpinning technology-enhanced learning artefacts. World Journal of Science, Technology and Sustainable Development, 17(4), 341-354. https://doi.org/10.1108/WJSTSD-06-2020-0062

Purpose – Various technology-enhanced learning software and tools exist where technology becomes the main driver for these developments at the expense of pedagogy. The literature reveals the missing balance between technology and pedagogy in the cont... Read More about A review of learning theories and models underpinning technology-enhanced learning artefacts.

Copernicus for urban resilience in Europe: The CURE project (2020)
Conference Proceeding
Chrysoulakis, N., Mitraka, Z., Marconcini, M., Ludlow, D., Khan, Z. A., Holt Andersen, B., …Feigenwinter, C. (2020). Copernicus for urban resilience in Europe: The CURE project. In N. Chrysoulakis, Y. Zhang, & T. Erbertseder (Eds.), . https://doi.org/10.1117/12.2577125

Blockchain and edge computing–based architecture for participatory smart city applications (2019)
Journal Article
Khan, Z., Abbasi, A. G., & Pervez, Z. (2020). Blockchain and edge computing–based architecture for participatory smart city applications. Concurrency and Computation: Practice and Experience, 32(12), Article e5566. https://doi.org/10.1002/cpe.5566

© 2019 John Wiley & Sons, Ltd. Smart cities aim to provide smart governance with the emphasis on gaining high transparency and trust in public services and enabling citizen participation in decision making processes. This means on the one hand data... Read More about Blockchain and edge computing–based architecture for participatory smart city applications.

Towards trusted security context exchange protocol for SDN based low latency networks (2019)
Presentation / Conference
Ghafoor, A., Abbasi, A. Q., & Khan, Z. (2019, September). Towards trusted security context exchange protocol for SDN based low latency networks. Paper presented at 38th International Conference on Computer Safety, Reliability and Security, Tuku, Finland

To overcome the latency issue in real-time communication, a number of research based solutions and architectures are being proposed. In all these, security is not considered an important factor since it causes extra delay in the communication and int... Read More about Towards trusted security context exchange protocol for SDN based low latency networks.

Smart city big data analytics: An advanced review (2019)
Journal Article
Soomro, K., Bhutta, M. N. M., Khan, Z., & Tahir, M. A. (2019). Smart city big data analytics: An advanced review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(5), Article e1319. https://doi.org/10.1002/widm.1319

© 2019 Wiley Periodicals, Inc. With the increasing role of ICT in enabling and supporting smart cities, the demand for big data analytics solutions is increasing. Various artificial intelligence, data mining, machine learning and statistical analysis... Read More about Smart city big data analytics: An advanced review.