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Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models (2024)
Journal Article
Albostami, A. S., Mohamad, S. A., Alzabeebee, S., Al-Hamd, R. K., & Al-Bander, B. (2025). Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models. Engineering Structures, 322, Article 119150. https://doi.org/10.1016/j.engstruct.2024.119150

This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective Genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and Gene Expression Programming (GEP) to predict the punching shear strength of Steel Fibre-Re... Read More about Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models.

Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering (2024)
Presentation / Conference Contribution
Zayed, A., & Al-Said Ahmad, A. (2024, July). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. Presented at 24th International Conference on Software Quality, Reliability, and Security (QRS), Cambridge, United Kingdom

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting con... Read More about Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering.

Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates (2024)
Journal Article
Prikazchikova, L., Rege, A., Kaplunov, J., & Prikazchikov, D. (2024). Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates. Zeitschrift für angewandte Mathematik und Physik, 75, 1-14. https://doi.org/10.1007/s00033-024-02347-z

The paper aims at studying dispersion of elastic waves in a sandwich plate with the parameters, characteristic of aerogel core and hard skin layers, typical for aerospace applications including optimal design of fuselage structural components. The pr... Read More about Low-frequency propagating and evanescent waves in strongly inhomogeneous sandwich plates.

Version reporting of wearables in clinical trials v1 (2024)
Digital Artefact
Ahmad Khattak, K., Woolley, S., & Collins, T. (2024). Version reporting of wearables in clinical trials v1

This study involved the extraction and analysis of version reporting information from completed and reported ClinicalTrials.gov entries for wrist-worn wearable intervention studies.

Using rapid reviews to support software engineering practice: a systematic review and a replication study (2024)
Journal Article
Pizard, S., Lezama, J., García, R., Vallespir, D., & Kitchenham, B. (2025). Using rapid reviews to support software engineering practice: a systematic review and a replication study. Empirical Software Engineering, 30(1), https://doi.org/10.1007/s10664-024-10545-6

Context
A few years ago, rapid reviews (RR) were introduced in software engineering (SE) to address the problem that standard systematic reviews take too long and too much effort to be of value to practitioners. Prior to our study, few practice-driv... Read More about Using rapid reviews to support software engineering practice: a systematic review and a replication study.

Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks (2024)
Journal Article
Jagtap, N. V., Reinisch, N., Abdusalamov, R., Bailly, D., & Itskov, M. (2024). Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks. Advances in Industrial and Manufacturing Engineering, 9, Article 100152. https://doi.org/10.1016/j.aime.2024.100152

Open die forging is one of the oldest manufacturing methods known to remove defects in the ingot resulting from the casting process. The improved properties of the final component are highly dependent on the strain distribution. Alt... Read More about Modeling of equivalent strain in 2D cross-sections of open die forged components using neural networks.

Wrinkling of differentially growing bilayers with similar film and substrate moduli (2024)
Journal Article
Shen, J., Fu, Y., Pirrera, A., & Groh, R. M. (2024). Wrinkling of differentially growing bilayers with similar film and substrate moduli. Journal of the Mechanics and Physics of Solids, 193, Article 105900. https://doi.org/10.1016/j.jmps.2024.105900

Growth-induced surface wrinkling in constrained bilayers comprising a thin film attached to a thick substrate is a canonical model for understanding pattern formation in many biological systems. While the bilayer model has received much prior attenti... Read More about Wrinkling of differentially growing bilayers with similar film and substrate moduli.

AI security and cyber risk in IoT systems (2024)
Journal Article
Radanliev, P., De Roure, D., Maple, C., Nurse, J. R. C., Nicolescu, R., & Ani, U. (in press). AI security and cyber risk in IoT systems. Frontiers in Big Data, 7, Article 1402745. https://doi.org/10.3389/fdata.2024.1402745

Internet-of-Things (IoT) refers to low-memory connected devices used in various new technologies, including drones, autonomous machines, and robotics. The article aims to understand better cyber risks in low-memory devices and the challenges in IoT r... Read More about AI security and cyber risk in IoT systems.

Self-induced transparency of long water waves over bathymetry: the dispersive shock mechanism (2024)
Journal Article
Sheremet, A., Qayyum, R., & Shrira, V. (2024). Self-induced transparency of long water waves over bathymetry: the dispersive shock mechanism. Journal of Fluid Mechanics, 997, https://doi.org/10.1017/jfm.2024.850

The shoreline hazard posed by ocean long waves such as tsunamis and meteotsunamis critically depends on the fraction of energy transmitted across the shallow near-shore shelf. In linear setting, bathymetric inhomogeneities of length comparable to the... Read More about Self-induced transparency of long water waves over bathymetry: the dispersive shock mechanism.

Analytical and numerical study of anti-plane elastic wave scattering in a structured quadrant subjected to a boundary point load (2024)
Journal Article
Nieves, M., Kisil, A., & Mishuris, G. S. (in press). Analytical and numerical study of anti-plane elastic wave scattering in a structured quadrant subjected to a boundary point load. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 480(2299), Article 20240099. https://doi.org/10.1098/rspa.2024.0099

We verify the recently developed method by Kisil (Kisil 2024 SIAM J. Appl. Math. 84, 464–476 (doi: 10.1137/23M1562445)) through its application in the study of the anti-plane dynamic response of an elastic square-cell lattice quadrant having a free l... Read More about Analytical and numerical study of anti-plane elastic wave scattering in a structured quadrant subjected to a boundary point load.

Grid LSTM based Attention Modelling for Traffic Flow Prediction (2024)
Presentation / Conference Contribution
Biju, R., Goparaju, S. U., Gangadharan, D., & Mandal, B. (2024, June). Grid LSTM based Attention Modelling for Traffic Flow Prediction. Presented at 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore

Traffic flow prediction is an important task that can directly impact the control of traffic flow positively and improve the overall traffic throughput. Although a large number of studies have been performed to improve traffic flow prediction, there... Read More about Grid LSTM based Attention Modelling for Traffic Flow Prediction.

A systematic literature review on software applications used to support curriculum development and delivery in primary and secondary education (2024)
Journal Article
Agbo, B., Morris, C., Osman, M., Basketts, J., & Kyriacou, T. (2024). A systematic literature review on software applications used to support curriculum development and delivery in primary and secondary education. International Journal of Educational Research, 7, Article 100385. https://doi.org/10.1016/j.ijedro.2024.100385

The evolution of educational software applications has revolutionised teaching and learning methodologies in primary and secondary education over the past decade. This paper conducts a review of primary studies based on N = 21 paper... Read More about A systematic literature review on software applications used to support curriculum development and delivery in primary and secondary education.

Recommendations for analysing and meta-analysing small sample size software engineering experiments (2024)
Journal Article
Kitchenham, B., & Madeyski, L. (2024). Recommendations for analysing and meta-analysing small sample size software engineering experiments. Empirical Software Engineering, 29(6), Article 137. https://doi.org/10.1007/s10664-024-10504-1

Context: Software engineering (SE) experiments often have small sample sizes. This can result in data sets with non-normal characteristics, which poses problems as standard parametric meta-analysis, using the standardized mean difference (StdMD) effe... Read More about Recommendations for analysing and meta-analysing small sample size software engineering experiments.

Transverse Compression of a Thin Inhomogeneous Elastic Layer (2024)
Journal Article
Alzaidi, A. S. M., Kaplunov, J., Zupančič, B., & Nikonov, A. (in press). Transverse Compression of a Thin Inhomogeneous Elastic Layer. Mathematics, 12(16), Article 2502. https://doi.org/10.3390/math12162502

A 3D problem in linear elasticity is considered for a thin inhomogeneous layer subject to transverse compression. For the first time, the effect of arbitrary vertical inhomogeneity is elucidated. Two sets of boundary conditions along the faces of the... Read More about Transverse Compression of a Thin Inhomogeneous Elastic Layer.

Android Malware Detection System using Machine Learning (2024)
Presentation / Conference Contribution
Kaur, A., Lal, S., Goel, S., Pandey, M., & Agarwal, A. (2024, August). Android Malware Detection System using Machine Learning. Presented at The International Conference on Contemporary Computing (IC3), India

Detecting Android malware is imperative for safeguarding user privacy, securing data, and preserving device performance. Consequently,
numerous studies have underscored the complexities associated with Android malware detection, prompting a multidim... Read More about Android Malware Detection System using Machine Learning.

Unified Deep Ensemble Architecture for Multiple Classification Tasks (2024)
Presentation / Conference Contribution
Mistry, K. A. J., & Mandal, B. (2024, August). Unified Deep Ensemble Architecture for Multiple Classification Tasks. Presented at 2024 Intelligent Systems Conference (IntelliSys), Amsterdam, The Netherlands

Banks face regular challenges in making decisions for ever increasing need for bank loans. Most banks use applicant’s financial situations, their past history, affordability checks, credit score and risk assessment, which are time consuming, challeng... Read More about Unified Deep Ensemble Architecture for Multiple Classification Tasks.

Wearables, Healthcare-Computer Interaction and the Internet of Obscure Medical Things (2024)
Presentation / Conference Contribution
Khattak, K. A., Woolley, S. I., & Collins, T. (2024, July). Wearables, Healthcare-Computer Interaction and the Internet of Obscure Medical Things. Presented at 37th International BCS Human-Computer Interaction Conference, Preston, UK

In recent years, wearable computers, in the form of wrist-worn trackers and smartwatches, have transitioned apace from the well-being market into the set of 'Internet of Medical Things' (IoMTs) used in clinical research and healthcare. Despite concer... Read More about Wearables, Healthcare-Computer Interaction and the Internet of Obscure Medical Things.