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Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy (2025)
Journal Article
Khodadadian, E., Goldoni, D., Nicolini, J., Khodadadian, A., Heitzinger, C., & Selmi, L. (2025). Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy. Engineering Applications of Artificial Intelligence, 159(Part C, 2025), 1-17. https://doi.org/10.1016/j.engappai.2025.111679

Elongated analytes are simple general-purpose model systems for nucleic acid strands, bacteriophages, nanoplastic fibers, nanotubes, nanorods, etc., and are characterized by numerous unknowns (e.g., material composition, length, orientation, etc.) th... Read More about Integrating physics-based simulations, machine learning, and Bayesian inference for accurate detection and metrology of elongated nanoscale analytes using high-frequency capacitance spectroscopy.

An empirical study on the performance overhead of code instrumentation in containerised microservices (2025)
Journal Article
Hammad, Y., Al-Said Ahmad, A., & Andras, P. (2025). An empirical study on the performance overhead of code instrumentation in containerised microservices. Journal of Systems and Software, 230, Article 112573. https://doi.org/10.1016/j.jss.2025.112573

Code instrumentation is vital for analysing software behaviour and facilitating cloud computing observability and monitoring, especially in microservices and containers. Despite its benefits, instrumentation introduces complexity and performance over... Read More about An empirical study on the performance overhead of code instrumentation in containerised microservices.

MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities (2025)
Presentation / Conference Contribution
Rayis, A., Ortolani, M., David, R.-M., Hirschi, R., & Misirli, G. (2025, August). MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities. Presented at 2025 the 9th International Conference on Cloud, Big Data and Communication Systems (ICCBDCS 2025), Manchester

Smart cities generate large amounts of Internet of
Things data from diverse sources, often presented in varying
formats and with inconsistent quality, complicating effective data
management and interoperability. Despite recent advancements
relate... Read More about MicroMaps: Ontology-driven Semantic Geospatial Data Fusion Approach for IoT Integration and Decision Making in Smart Cities.

Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials (2025)
Presentation / Conference Contribution
Ahmed, M., Ahamed, M. F., Islam, S. M., Dipa, P. R., Debnath, R., & Shariar Sarker, M. N. (2024, December). Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials. Presented at 2024 27th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh

A significant amount of waste is produced every day from urban settings such as homes, offices, residential areas, and basically from our daily activities. Much of such waste remains unutilized due to inefficient sorting practices, which eventually r... Read More about Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials.

Generative AI cybersecurity and resilience (2025)
Journal Article
Radanliev, P., Santos, O., & Ani, U. D. (2025). Generative AI cybersecurity and resilience. Frontiers in Artificial Intelligence and Applications, 8, Article 1568360. https://doi.org/10.3389/frai.2025.1568360

Generative Artificial Intelligence marks a critical inflection point in the evolution of machine learning systems, enabling the autonomous synthesis of content across text, image, audio, and biomedical domains. While these capabilities are advancing... Read More about Generative AI cybersecurity and resilience.

Socio‐Technical Security Modelling and Simulations in Cyber‐Physical Systems: Outlook on Knowledge, Perceptions, Practices, Enablers, and Barriers (2025)
Journal Article
Ani, U. D., Al‐Mhiqani, M., Tuptuk, N., Hailes, S., & McKendrick Watson, J. D. (2025). Socio‐Technical Security Modelling and Simulations in Cyber‐Physical Systems: Outlook on Knowledge, Perceptions, Practices, Enablers, and Barriers. IET Cyber-Physical Systems: Theory & Applications, 10(1), 1-26. https://doi.org/10.1049/cps2.70017

Socio‐Technical Security Modelling and Simulation (STSec‐M&S) is a technique used for reasoning and representing security viewpoints that include both the social and technical aspects of a system. It has shown great potential for improving the cybers... Read More about Socio‐Technical Security Modelling and Simulations in Cyber‐Physical Systems: Outlook on Knowledge, Perceptions, Practices, Enablers, and Barriers.

Skew bracoids containing a skew brace (2025)
Journal Article
Colazzo, I., Koch, A., Martin-Lyons, I., & Truman, P. J. (2025). Skew bracoids containing a skew brace. Journal of Algebra and Its Applications, https://doi.org/10.1142/S021949882650235X

Skew bracoids have been shown to have applications in Hopf-Galois theory. We show that a certain family of skew bracoids correspond bijectively with left cancellative semibraces. A consequence of this correspondence is that skew bracoids in this fami... Read More about Skew bracoids containing a skew brace.

Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation (2025)
Journal Article
Rehan, S., Al-Bander, B., & Al-Said Ahmad, A. (2025). Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation. Electronics, 14(7), 1-25. https://doi.org/10.3390/electronics14071463

Software testing is critical for ensuring software reliability, with test case generation often being resource-intensive and time-consuming. This study leverages the Llama-2 large language model (LLM) to automate unit test generation for Java focal m... Read More about Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation.

Towards Designs for Virtual Interconnected Curation Spaces of Heritage Artefacts, Experiences and Histories (2025)
Presentation / Conference Contribution
Rhodes, R., Woolley, S. I., & White, D. (2024, July). Towards Designs for Virtual Interconnected Curation Spaces of Heritage Artefacts, Experiences and Histories. Presented at BCS HCI '24: Proceedings of the 37th International BCS Human-Computer Interaction Conference, University of Central Lancashire (UCLan), UK

Where immersive museum and digital heritage experiences exist, they are often only available for limited project timespans and they do not generally connect to other similar experiences and artefacts, nor connect to physical museums or heritage locat... Read More about Towards Designs for Virtual Interconnected Curation Spaces of Heritage Artefacts, Experiences and Histories.

On the approximate schemes for the evaluation of the acoustic radiation by a thin elastic layer (2025)
Journal Article
Kaplunov, J., Prikazchikova, L., & Shamsi, S. (in press). On the approximate schemes for the evaluation of the acoustic radiation by a thin elastic layer. Continuum Mechanics and Thermodynamics, 37, 1-14. https://doi.org/10.1007/s00161-025-01365-0

A plane strain problem for forced time-harmonic vibrations of an elastic layer lying on an acoustic half-space is considered. The validity of the approximate formulation involving the classical Kirchhoff theory for plate bending as well as its shorte... Read More about On the approximate schemes for the evaluation of the acoustic radiation by a thin elastic layer.

Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation (2025)
Journal Article
Adewumi, S. E., & Ani, U. D. (in press). Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation. Information Security Journal: A Global Perspective, 1-38. https://doi.org/10.1080/19393555.2025.2469519

Phishing is a common cyber-attack technique where a criminal pretending to be a trusted entity sends a message either soliciting assistance, or requesting bank or credit card details with promises that usually turn out to be a hoax. This may include... Read More about Impact of detection accuracy rates on phishing email spikes: Towards more effective mitigation.

Graphene-based FETs for advanced biocatalytic profiling: investigating heme peroxidase activity with machine learning insights (2025)
Journal Article
Mirsian, S., Hilber, W., Khodadadian, E., Parvizi, M., Khodadadian, A., Khoshfetrat, S. M., Heitzinger, C., & Jakoby, B. (in press). Graphene-based FETs for advanced biocatalytic profiling: investigating heme peroxidase activity with machine learning insights. Microchimica Acta, 192(3), 1-15. https://doi.org/10.1007/s00604-025-06955-y

Graphene-based field-effect transistors (GFETs) are rapidly gaining recognition as powerful tools for biochemical analysis due to their exceptional sensitivity and specificity. In this study, we utilize a GFET system to explore the peroxidase-based b... Read More about Graphene-based FETs for advanced biocatalytic profiling: investigating heme peroxidase activity with machine learning insights.

Analysis of axisymmetric necking of a circular dielectric membrane based on a one-dimensional model (2025)
Journal Article
Yu, X., & Fu, Y. (2025). Analysis of axisymmetric necking of a circular dielectric membrane based on a one-dimensional model. Journal of the Mechanics and Physics of Solids, 198, Article 106071. https://doi.org/10.1016/j.jmps.2025.106071

To facilitate the understanding of the mechanisms underlying the electric breakdown of dielectric elastomers, we derive a one-dimensional (1d) model for axisymmetric necking in a dielectric membrane subjected to equibiaxial stretching and an electric... Read More about Analysis of axisymmetric necking of a circular dielectric membrane based on a one-dimensional model.

Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support (2025)
Journal Article
Taiwo, O., & Al‐Bander, B. (in press). Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support. Cognitive Computation and Systems, 7(1), 1-15. https://doi.org/10.1049/ccs2.12116

Mental health disorders have a global prevalence of 25%, according to the WHO, and this is exacerbated by factors such as stigma, geographical location, and a worldwide shortage of practitioners. Mental health chatbots have been developed to address... Read More about Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support.

Low-Frequency Longitudinal Vibrations of a Fluid-Loaded Elastic Layer (2025)
Journal Article
Shamsi, S., & Prikazchikova, L. (in press). Low-Frequency Longitudinal Vibrations of a Fluid-Loaded Elastic Layer. Symmetry, 17(1), 1-13. https://doi.org/10.3390/sym17010119

This paper concerns the low-frequency symmetric (extensional) motions of a thin elastic layer submerged in a fluid. This problem is less investigated than that for antisymmetric motion corresponding to bending vibrations, partly because the classical... Read More about Low-Frequency Longitudinal Vibrations of a Fluid-Loaded Elastic Layer.

Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis (2025)
Journal Article
Giraud, E. H., Poole, E., De Quincey, E., & Richardson, J. E. (in press). Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis. The Sociological Review, https://doi.org/10.1177/00380261241305260

There has been a dramatic surge in uses of big data analytics and automated methods to detect and remove hate speech from social media, with these methods deployed both by platforms themselves and within academic research. At the same time, recent so... Read More about Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis.

Evidence-based Software Engineering Guidelines Revisited (2025)
Journal Article
Pfleeger, S. L., & Kitchenham, B. (2025). Evidence-based Software Engineering Guidelines Revisited. IEEE Transactions on Software Engineering, 51(3), 1-6. https://doi.org/10.1109/tse.2025.3526730

In 2002, the authors and their colleagues proposed some preliminary guidelines for empirical software engineering research. In this paper, we revisit them. We believe that for the purpose of supporting the development of project-based bespoke softwar... Read More about Evidence-based Software Engineering Guidelines Revisited.

Low-Frequency Vibrations of a High-Contrast Orthotropic Lattice (2025)
Working Paper
Andrianov, I., Danishevskyy, V., & Kaplunov, J. Low-Frequency Vibrations of a High-Contrast Orthotropic Lattice

The study of long-wave propagation in lattices or in composite and layered structures is usually carried out using a single small parameter characterising the ratio of the wavelength to some characteristic size. Ratios of rigidity or density paramete... Read More about Low-Frequency Vibrations of a High-Contrast Orthotropic Lattice.

Emotion Classification on Software Engineering Q&A Websites (2025)
Journal Article
Awovi Ahavi-Tete, D., & Sangeeta, S. (2025). Emotion Classification on Software Engineering Q&A Websites. e-Informatica Software Engineering Journal (EISEJ), https://doi.org/10.37190/e-Inf250104

Background: With the rapid proliferation of question-and-answer websites for software
developers like Stack Overflow, there is an increasing need to discern developers’ emotions from
their posts to assess the influence of these emotions on their pr... Read More about Emotion Classification on Software Engineering Q&A Websites.