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Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets (2023)
Presentation / Conference Contribution
Yan, R., Dunnett, S., & Jackson, L. (2023). Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets. In Proceedings of the The 33rd European Safety and Reliability Conference (ESREL 2023) 3 – 8 September 2023, Southampton, UK. https://doi.org/10.3850/978-981-18-8071-1_p034-cd

Offshore wind power is one of the main technologies helping to meet the global low carbon challenge. However, the significant expansion of the offshore wind industry and the rapid increase in the size and weight of turbine components will certainly a... Read More about Wind Turbine Installation Vessel Mission Reliability Modelling Using Petri Nets.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Presentation / Conference Contribution
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

“They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot (2023)
Presentation / Conference Contribution
Trigo, M. J. G., Reyes-Cruz, G., Maior, H. A., Pepper, C., Price, D., Leonard, P., …Fischer, J. E. (2023). “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot. In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). https://doi.org/10.1109/RO-MAN57019.2023.10309364

Increasingly, robots are adopted for routine tasks such as cleaning and disinfection of public spaces, raising questions about attitudes and trust of professional cleaners who might in future have robots as teammates, and whether the general public f... Read More about “They’re not going to do all the tasks we do”: Understanding Trust and Reassurance towards a UV-C Disinfection Robot.

Wall Permeability Estimation in Automotive Particulate Filters (2023)
Presentation / Conference Contribution
Samuels, C., Holtzman, R., Benjamin, S., Aleksandrova, S., Watling, T. C., & Medina, H. (2023). Wall Permeability Estimation in Automotive Particulate Filters. SAE Technical Papers, Article 2023-24-0110. https://doi.org/10.4271/2023-24-0110

Porous wall permeability is one of the most critical factors for the estimation of backpressure, a key performance indicator in automotive particulate filters. Current experimental and analytical filter models could be calibrated to predict the perme... Read More about Wall Permeability Estimation in Automotive Particulate Filters.

Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression (2023)
Presentation / Conference Contribution
Peng, W., & Ou, H. (2024). Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression. In K. Mocellin, P. Bouchard, R. Bigot, & T. Balan (Eds.), Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology o (713-721). https://doi.org/10.1007/978-3-031-41023-9_71

Single point incremental forming (SPIF) and Double-sided incremental forming (DSIF) are two main variants of incremental sheet forming (ISF) processes. Tension under cyclic bending (TCB) have been developed as a means for experimental evaluation and... Read More about Modelling of Stress Evolution and Its Effect on Formability in Tension Under Cyclic Bending Plus Compression.

Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing (2023)
Presentation / Conference Contribution
Abdi, H., Bagley, S. R., Furnell, S., & Twycross, J. (2023). Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing. In DocEng ’23 : Proceedings of the 2023 ACM Symposium on Document Engineering. https://doi.org/10.1145/3573128.3609348

Attribution provides valuable intelligence in the face of Advanced Persistent Threat (APT) attacks. By accurately identifying the culprits and actors behind the attacks, we can gain more insights into their motivations, capabilities, and potential fu... Read More about Automatically Labeling Cyber Threat Intelligence reports using Natural Language Processing.

Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model (2023)
Presentation / Conference Contribution
Zhang, H., Burrows, L., Meng, Y., Sculthorpe, D., Mukherjee, A., Coupland, S. E., …Zheng, Y. (2023). Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15630-15640). https://doi.org/10.1109/cvpr52729.2023.01500

Image segmentation is a fundamental task in the field of imaging and vision. Supervised deep learning for segmentation has achieved unparalleled success when sufficient training data with annotated labels are available. However, annotation is known t... Read More about Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model.

Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data (2023)
Presentation / Conference Contribution
Dave, R., Angarita-Zapata, J. S., & Triguero, I. (2023). Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data. In Machine Learning and Knowledge Extraction (82-102). https://doi.org/10.1007/978-3-031-40837-3_6

The emergence of Machine Learning (ML) has altered how researchers and business professionals value data. Applicable to almost every industry, considerable amounts of time are wasted creating bespoke applications and repetitively hand-tuning models t... Read More about Hyper-Stacked: Scalable and Distributed Approach to AutoML for Big Data.

LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems (2023)
Presentation / Conference Contribution
Fatehi, K., & Kucukyilmaz, A. (2023). LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems. In Interspeech 2023

With advances in deep learning methodologies, Automatic Speech Recognition (ASR) systems have seen impressive results. However, ASR in Low-Resource Environments (LREs) are challenged by a lack of training data for the specific target domain. We propo... Read More about LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems.

Fines-controlled drainage in just-saturated, inertial column collapses (2023)
Presentation / Conference Contribution
Webb, W., Heron, C., & Turnbull, B. (2023). Fines-controlled drainage in just-saturated, inertial column collapses. E3S Web of Conferences, 415, Article 01030. https://doi.org/10.1051/e3sconf/202341501030

The wide particle size distributions, over several orders of magnitude, observed in debris flows leads to a diverse range of rheological behaviours controlling flow outcomes. This study explores the influence of different scale grains by conducting s... Read More about Fines-controlled drainage in just-saturated, inertial column collapses.

A BIM-based conceptual framework for embodied carbon assessment (2023)
Presentation / Conference Contribution
Hunt, J., & Osorio-Sandoval, C. A. (2023). A BIM-based conceptual framework for embodied carbon assessment. In SET2023 : 20th International Conference on Sustainable Energy Technologies 15th to 17th August 2023, Nottingham, UK: Sustainable Energy Technologies 2023 Conference Proceedings. Volume 1 (387-394)

Understanding the integration of BIM as an enabling factor in embodied carbon (EC) assessment is becoming exponentially vital as the global climate crisis accelerates. This paper introduces a BIM-based conceptual framework to quantify the EC of a bui... Read More about A BIM-based conceptual framework for embodied carbon assessment.

A BIM-based framework for designing sustainable structures through the reuse of precast concrete components (2023)
Presentation / Conference Contribution
Al-Jawhar, H., Thermou, G., Osorio-Sandoval, C., & Tokbolat, S. (2023). A BIM-based framework for designing sustainable structures through the reuse of precast concrete components. In Proceedings of the 20th International Conference on Sustainable Energy Technologies (201-210)

The widespread use of concrete within the global construction sector is primarily attributed to its inherent qualities of resilience, versatility, longevity, and facilitation of economic growth. Nevertheless, it is noteworthy that this popular materi... Read More about A BIM-based framework for designing sustainable structures through the reuse of precast concrete components.

BIM-based building circularity assessment: conceptual framework (2023)
Presentation / Conference Contribution
Al-Qazzaz, I., Osorio-Sandoval, C., Tokbolat, S., & Thermou, G. (2023). BIM-based building circularity assessment: conceptual framework. In Proceedings of the 20th International Conference on Sustainable Energy Technologies (130-137)

The construction sector contributes substantially to the consumption of raw materials and the production of waste. Traditional building design strategies are based on an unsustainable economic linear model. Transition to the circular economy (CE) par... Read More about BIM-based building circularity assessment: conceptual framework.

An experimental investigation of the effect of surface roughness on sessile droplet evaporation (2023)
Presentation / Conference Contribution
Zhang, Z., Yan, Y., & Magnini, M. (2023). An experimental investigation of the effect of surface roughness on sessile droplet evaporation. . https://doi.org/10.1615/IHTC17.130-110

As one of the most common phenomena in nature, droplet evaporation has become a major heat transfer mode and is used widely in industries and scientific fields. For a sessile droplet, the wettability of the substrate surface could make a significant... Read More about An experimental investigation of the effect of surface roughness on sessile droplet evaporation.

Towards Causal Fuzzy System Rules Using Causal Direction (2023)
Presentation / Conference Contribution
Zhang, T., Ying, J., Wagner, C., & Garibaldi, J. (2023, August). Towards Causal Fuzzy System Rules Using Causal Direction. Presented at 2023 IEEE International Conference on Fuzzy Systems (FUZZ), Incheon, Korea

Generating (fuzzy) rule bases from data can provide a rapid pathway to constructing (fuzzy) systems. However, direct rule generation approaches tend to generate very large numbers of rules. One reason for this is that such techniques are not designed... Read More about Towards Causal Fuzzy System Rules Using Causal Direction.

Comparison of approximate methods for modelling coherence scanning interferometry (2023)
Presentation / Conference Contribution
Hooshmand, H., Pahl, T., de Groot, P. J., Lehmann, P., Pappas, A., Su, R., …Piano, S. (2023). Comparison of approximate methods for modelling coherence scanning interferometry. Proceedings of SPIE, 12619, https://doi.org/10.1117/12.2673657

Coherence scanning interferometry (CSI) is a widely used optical method for surface topography measurement of industrial and biomedical surfaces. The operation of CSI can be modelled using approximate physics-based approaches with minimal computation... Read More about Comparison of approximate methods for modelling coherence scanning interferometry.

Electrical resistivity tomography to measure and monitor hydrodynamic heterogeneities in a Malawian agricultural alfisol (2023)
Presentation / Conference Contribution
Swift, R., Boyd, J., Chambers, J., Wilkinson, P., Sandram, I., Magwero, N., …Lark, M. (2023). Electrical resistivity tomography to measure and monitor hydrodynamic heterogeneities in a Malawian agricultural alfisol. In NSG2023 2nd Conference on Hydrogeophysics, Volume 2023. https://doi.org/10.3997/2214-4609.202320106

Conservation Agriculture (CA) is an agricultural method that has been shown to provide crop resilience to drought. In order to better understand the hydrodynamics in soils cultivated using CA, we installed geophysical monitoring equipment and co-loca... Read More about Electrical resistivity tomography to measure and monitor hydrodynamic heterogeneities in a Malawian agricultural alfisol.

Restoring Human Rights : Dialogical Stakeholder Engagement for Marginalized Women (2023)
Presentation / Conference Contribution
Caruana, R., Bianchi, L., & Shivji, A. (2023, August). Restoring Human Rights : Dialogical Stakeholder Engagement for Marginalized Women. Presented at 83rd Annual Meeting of the Academy of Management, Boston, Massachusetts

Women experience multiple and intersecting forms of discrimination, vulnerability and marginalization and they are often unequal victims of unethical and illicit ‘business’ practices. Systematic exploitation of structural, social, physical and other... Read More about Restoring Human Rights : Dialogical Stakeholder Engagement for Marginalized Women.

Uncertainty analysis of an augmented industrial robot (2023)
Presentation / Conference Contribution
Khanesar, M. A., Piano, S., & Branson, D. (in press). Uncertainty analysis of an augmented industrial robot.

Industrial robots are often used in additive manufacturing (AM) environments to automate the process of creating complex parts and structures. One example of an industrial robot used in AM is for wire and arc additive manufacturing. This process invo... Read More about Uncertainty analysis of an augmented industrial robot.