A Survey of Modern Deep Learning based Object Detection Models (2022)
Journal Article
Zaidi, S., Ansari, M., Aslam, A., Kanwal, N., Asghar, M., & Lee, B. (2022). A Survey of Modern Deep Learning based Object Detection Models. Digital Signal Processing, 1-19. https://doi.org/10.1016/j.dsp.2022.103514

Object Detection is the task of classification and
localization of objects in an image or video. It has gained
prominence in recent years due to its widespread applications.
This article surveys recent developments in deep learning based
object d... Read More about A Survey of Modern Deep Learning based Object Detection Models.

Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum (2021)
Conference Proceeding
Woolley, S., Collins, T., Rhodes, R., & Polack, F. (2021). Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum. . https://doi.org/10.14236/ewic/HCI2021-W1.2

In this paper we reflect on the interplay and the disconnects between real and virtual heritage experiences, and the fragmented nature of digital experiences. We consider the important engagement potential that virtual interactions bring to small les... Read More about Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum.

A Review of Privacy-preserving Federated Learning for the Internet-of-Things (2021)
Book Chapter
Fan. (2021). A Review of Privacy-preserving Federated Learning for the Internet-of-Things. In Federated Learning Systems: Towards Next Generation AI (21-50). https://doi.org/10.1007/978-3-030-70604-3_2

The Internet-of-Things (IoT) generates vast quantities of data, much of it attributable to individuals' activity and behaviour. Gathering personal data and performing machine learning tasks on this data in a central location presents a significant pr... Read More about A Review of Privacy-preserving Federated Learning for the Internet-of-Things.

Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement (2021)
Conference Proceeding
Woolley, S., Mitchell, J., Collins, T., Rhodes, R., Rukasha, T., Gehlken, E., …Cooke, A. (2021). Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement. In Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

This paper presents an Augmented Reality (AR) project for the curation of virtual museum ‘takeouts’ and DIY exhibitions. The project’s outputs include novel AR app technology demonstrators, to support co-design with museum users and stakeholders - th... Read More about Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement.

SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension (2020)
Journal Article
Asghar, M., Abdullah, S., Kanwal, N., Fleury, M., & Shah, R. (2020). SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension. IEEE Access, 187784 - 187807. https://doi.org/10.1109/ACCESS.2020.3030608

This paper proposes a lightweight cipher scheme aimed at the scalable extension of the High Efficiency Video Coding (HEVC) codec, referred to as the Scalable HEVC (SHVC) standard. This stream cipher, Symmetric Cipher for Lightweight Encryption based... Read More about SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension.

Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing (2020)
Journal Article
Kanwal, N., Asghar, M., Ansari, M., Fleury, M., Lee, B., Herbst, M., & Qiao, Y. (2020). Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing. IEEE Access, 153413 - 153424. https://doi.org/10.1109/access.2020.3016211

Surveillance video recording is a powerful method of deterring unlawful activities. A robust data protection-by-design solution can be helpful in terms of making a captured video immutable, as such recordings cannot become a piece of evidence until p... Read More about Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing.

Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces (2019)
Journal Article
Casella, E., Ortolani, M., Silvestri, S., & Das, S. K. (2019). Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces. Personal and Ubiquitous Computing, 24, 451-464. https://doi.org/10.1007/s00779-019-01319-9

Recognizing users’ daily life activities without disrupting their lifestyle is a key functionality to enable a broad variety of advanced services for a Smart City, from energy-efficient management of urban spaces to mobility optimization. In this pa... Read More about Hierarchical Syntactic Models for Human Activity Recognition through Mobility Traces.