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Application of CO2 monitoring methods for post- occupancy evaluation of ventilation effectiveness to mitigate airborne disease transmission at events (2022)
Conference Proceeding
Malki-Epshtein, L., Cook, M., Hathway, A., Adzic, F., Iddon, C., Roberts, B. M., & Mustafa, M. (2022). Application of CO2 monitoring methods for post- occupancy evaluation of ventilation effectiveness to mitigate airborne disease transmission at events.

The Covid-19 pandemic led to the widespread closure of events. Between April and July 2021, the AIRBODS consortium carried out an Environmental Study as part of the UK government Events Research Programme to assess environmental risk factors for Covi... Read More about Application of CO2 monitoring methods for post- occupancy evaluation of ventilation effectiveness to mitigate airborne disease transmission at events.

Can't touch this: Rethinking public technology in a COVID-19 era (2022)
Conference Proceeding
Pearson, J., Bailey, G., Robinson, S., Jones, M., Owen, T., Zhang, C., …Raju, D. K. (2022). Can't touch this: Rethinking public technology in a COVID-19 era. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (1-14). https://doi.org/10.1145/3491102.3501980

What do pedestrian crossings, ATMs, elevators and ticket machines have in common? These are just a few of the ubiquitous yet essential elements of public-space infrastructure that rely on physical buttons or touchscreens; common interactions that, un... Read More about Can't touch this: Rethinking public technology in a COVID-19 era.

Studying how digital luthiers choose their tools (2022)
Conference Proceeding
Renney, N., Renney, H., Mitchell, T. J., & Gaster, B. R. (2022). Studying how digital luthiers choose their tools. . https://doi.org/10.1145/3491102.3517656

Digital lutherie is a sub-domain of digital craft focused on creating digital musical instruments: high-performance devices for musical expression. It represents a nuanced and challenging area of human-computer interaction that is well established an... Read More about Studying how digital luthiers choose their tools.

Light-in-light-out (li-lo) displays: Harvesting and manipulating light to provide novel forms of communication (2022)
Conference Proceeding
Seunarine, K., Kalarikalayil Raju, D., Thomas, G., Thomas, S. K., Pockett, A., Reitmaier, T., …Jones, M. (2022). Light-in-light-out (li-lo) displays: Harvesting and manipulating light to provide novel forms of communication. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (1-15). https://doi.org/10.1145/3491102.3517730

Many of us daily encounter shadow and reflected light patterns alongside macro-level changes in ambient light levels. These are caused by elements - opaque objects, glass, mirrors, even clouds - in our environment interfacing with sunlight or artific... Read More about Light-in-light-out (li-lo) displays: Harvesting and manipulating light to provide novel forms of communication.

Machine in the middle: Exploring dark patterns of emotional human-computer integration through media art (2022)
Conference Proceeding
Dickinson, R., Semertzidis, N., & Mueller, F. F. (2022). Machine in the middle: Exploring dark patterns of emotional human-computer integration through media art. In S. Barbosa, C. Lampe, C. Appert, & D. A. Shamma (Eds.), CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491101.3503555

As our relationship with machines becomes evermore intimate, we observe increasing efforts in the quantification of human emotion, which has historically generated unintended consequences. We acknowledge an amplification of this trend through recent... Read More about Machine in the middle: Exploring dark patterns of emotional human-computer integration through media art.

LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST (2022)
Conference Proceeding
Mustapha, K., Djenouri, D., Jianguo, D., & Djenouri, Y. (2022). LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST. In 2021 17th International Conference on Mobility, Sensing and Networking (MSN) (694-699). https://doi.org/10.1109/MSN53354.2021.00107

The present paper considers emerging Internet of Things (IoT) applications and proposes a Long Short Term Memory (LSTM) based neural network for predicting the end of the broadcasting period under slotted CSMA (Carrier Sense Multiple Access) based MA... Read More about LSTM for periodic broadcasting in green IoT applications over energy harvesting enabled wireless networks: Case study on ADAPCAST.

Simulation of laparoscopic ultrasound imaging and suturing of the bile duct using silicone (2022)
Conference Proceeding
Shao, M., Huson, D., & Clark, J. (2022). Simulation of laparoscopic ultrasound imaging and suturing of the bile duct using silicone. In Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. https://doi.org/10.1117/12.2611340

The laparoscopic treatment of gallstone is a complex procedure requiring multiple skills, notably laparoscopic ultrasounds imaging and laparoscopic suturing. This procedure has many benefits comparing to open surgery, but still fail to be generalised... Read More about Simulation of laparoscopic ultrasound imaging and suturing of the bile duct using silicone.

Embedded intelligent empathy: A systematic review towards a conceptual framework (2022)
Conference Proceeding
Lavaf-Pour, Y., Barakat, M., & Chatzimichali, A. (2022). Embedded intelligent empathy: A systematic review towards a conceptual framework. In Computer-Aided Architectural Design. Design Imperatives: The Future is Now (36-48). https://doi.org/10.1007/978-981-19-1280-1_3

This paper is part of a feasibility project aiming to expand computational design processes to include design empathy. The project is in response to recent valid criticism of computational design overlooking the empathy of the designer. Computational... Read More about Embedded intelligent empathy: A systematic review towards a conceptual framework.

Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic (2022)
Conference Proceeding
Elliott, G., & Malik, M. (2022). Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic. In 2022 Journal of The Colloquium for Information Systems Security Education (1). https://doi.org/10.53735/cisse.v9i1.133

This paper focuses on developing a pedagogic roadmap to overcoming the challenges of delivering cyber security and forensics education in colleges and universities through distance learning during the COVID-19 pandemic. The research in this paper ide... Read More about Roadmap to overcoming the challenges of cyber security and forensics education in the age of distance learning and the COVID-19 pandemic.

Learning from carers to inform the design of safe physically assistive robots - Insights from a focus group study (2022)
Conference Proceeding
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). Learning from carers to inform the design of safe physically assistive robots - Insights from a focus group study. In Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction (703–707)

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from carers to inform the design of safe physically assistive robots - Insights from a focus group study.

Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers (2022)
Conference Proceeding
Hassan, M., Younis, S., Rasheed, A., & Bilal, M. (2022). Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers. In Proceedings Volume 12084, Fourteenth International Conference on Machine Vision (ICMV 2021). https://doi.org/10.1117/12.2623585

Deep learning architectures have emerged as powerful function approximators in a broad spectrum of complex representation learning tasks, such as, computer vision, natural language processing and collaborative filtering. These architectures bear a hi... Read More about Integrating single-shot fast gradient sign method (FGSM) with classical image processing techniques for generating adversarial attacks on deep learning classifiers.

Axial behaviour of strengthened circular hollow reinforced concrete column with CFRP partial confinement (2022)
Conference Proceeding
Ismail, R., Rashid, R. S. M., Zakwan, F. A. A., Ahmad, H., & Hejazi, F. (2022). Axial behaviour of strengthened circular hollow reinforced concrete column with CFRP partial confinement. In Vol. 33 (2022): fib International Conference on Concrete Sustainability (250-255). https://doi.org/10.14311/APP.2022.33.0250

Circular hollow reinforced concrete column will experience deterioration due to many causes such as natural disaster, corrosion, low quality and others. Therefore, structural strengthening is required since replacing the deteriorated column is costly... Read More about Axial behaviour of strengthened circular hollow reinforced concrete column with CFRP partial confinement.

Using an analysis of concrete and cement EPD: Verification, selection, assessment, benchmarking and target setting (2022)
Conference Proceeding
Anderson, J., & Moncaster, A. (2022). Using an analysis of concrete and cement EPD: Verification, selection, assessment, benchmarking and target setting. In fib International Conference on Concrete Sustainability (20-26). https://doi.org/10.14311/APP.2022.33.0020

The carbon embodied in buildings is an important proportion of our emissions and needs to be radically reduced in order to support climate change mitigation. The highest proportion of embodied carbon is usually emitted during the product stage, and w... Read More about Using an analysis of concrete and cement EPD: Verification, selection, assessment, benchmarking and target setting.

The formation of film audiences: Conference proceedings (2022)
Conference Proceeding
(2022). The formation of film audiences: Conference proceedings. In L. Tsitsou, H. Rana, & B. Wessels (Eds.), The formation of film audiences: Conference proceedings

The Formation of Film Audiences conference proceedings address many aspects that feature in the ways in which film audiences form. They are a selection of the papers presented at the final conference of the ‘Beyond the Multiplex: Audiences for specia... Read More about The formation of film audiences: Conference proceedings.

An experimental investigation on strength characteristics of concrete using Wastepaper Sludge Ash (WPSA) (2022)
Conference Proceeding
Umar, T., Tahir, A., Umeokafor, N., Nawarathna, A., Zia, A., & Honnur Vali, M. S. (in press). An experimental investigation on strength characteristics of concrete using Wastepaper Sludge Ash (WPSA).

This study explores an experimental investigation in finding the strength characteristics of the concrete made with the addition of (WPSA) as a cementious material. The WPSA has some sort of pozzolanic properties and is high in silica, magnesium and... Read More about An experimental investigation on strength characteristics of concrete using Wastepaper Sludge Ash (WPSA).

A novel deep reinforcement learning-based approach for task-offloading in vehicular networks (2022)
Conference Proceeding
Kazmi, S. M. A., Otoum, S., Hussain, R., & Mouftah, H. T. (2022). A novel deep reinforcement learning-based approach for task-offloading in vehicular networks. In 2021 IEEE Global Communications Conference (GLOBECOM) (1-6). https://doi.org/10.1109/GLOBECOM46510.2021.9685073

Next-generation vehicular networks will impose unprecedented computation demand due to the wide adoption of compute-intensive services with stringent latency requirements. Computational capacity of vehicular networks can be enhanced by integration of... Read More about A novel deep reinforcement learning-based approach for task-offloading in vehicular networks.

Therapy Easy: A co-designed hand rehabilitation system using Leap motion controller (2022)
Conference Proceeding
Jena, A., Chong, J., Jafari, A., & Etoundi, A. (2022). Therapy Easy: A co-designed hand rehabilitation system using Leap motion controller. In 2021 24th International Conference on Mechatronics Technology (ICMT)https://doi.org/10.1109/icmt53429.2021.9687286

Disability affects over 1 billion people across the globe [1]. About 190 million people in this demographic aged 15 or older require healthcare services due to having significant difficulties in functioning [1]. Upper limb disability is one such issu... Read More about Therapy Easy: A co-designed hand rehabilitation system using Leap motion controller.

Physiological data measurement in digital manufacturing (2022)
Conference Proceeding
Agrawal, S., Chong, J., Yacoub, A. A., Giuliani, M., Jafari, A., & Etoundi, A. (2022). Physiological data measurement in digital manufacturing. In 2021 24th International Conference on Mechatronics Technology (ICMT). https://doi.org/10.1109/ICMT53429.2021.9687200

As industry is moving towards a new digital rev-olution, identifying workers' mental and physical status is key to improved productivity in a digital manufacturing scenario. The main objective here is to provide an overview of sensing technologies in... Read More about Physiological data measurement in digital manufacturing.

Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging (2022)
Conference Proceeding
Hung, C. H., Etoundi, A., Jafari, A., Matthews, J., Chang, W. C., & Chong, J. J. (2022). Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging. In 2021 24th International Conference on Mechatronics Technology (ICMT)https://doi.org/10.1109/icmt53429.2021.9687202

The process of designing bio-inspired knee joint has been a challenging issue due to the complicated kinematics and dynamics of the human knee joint. This paper addresses this issue by presenting a design methodology that has been used to model the h... Read More about Mimicking condylar knee to design bio-inspired robotic knee joint based on magnetic resonance imaging.