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PCPATCH: software for the topological construction of multigrid relaxation methods (2021)
Journal Article
Farrell, P. E., Knepley, M. G., Mitchell, L., & Wechsung, F. (2021). PCPATCH: software for the topological construction of multigrid relaxation methods. ACM Transactions on Mathematical Software, 47(3), 1-22. https://doi.org/10.1145/3445791

Effective relaxation methods are necessary for good multigrid convergence. For many equations, standard Jacobi and Gauß–Seidel are inadequate, and more sophisticated space decompositions are required; examples include problems with semidefinite terms... Read More about PCPATCH: software for the topological construction of multigrid relaxation methods.

Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning (2021)
Journal Article
Cao, H., Aujla, G. S., Garg, S., Kaddoum, G., & Yang, L. (2021). Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning. IEEE Communications Standards Magazine, 5(2), 20-27. https://doi.org/10.1109/mcomstd.001.2000026

n the 5G era, heterogeneous networks (Het-Nets) are designed for achieving data rates and customized service demands. To realize this, virtualization technologies are widely accepted as enablers for implementing 5G HetNets, aimed at managing and sche... Read More about Embedding Security Awareness for Virtual Resource Allocation in 5G Hetnets Using Reinforcement Learning.

Data-driven Energy Theft Detection in Modern Power Grids (2021)
Presentation / Conference Contribution
Althobaiti, A., Jindal, A., & Marnerides, A. K. (2021, December). Data-driven Energy Theft Detection in Modern Power Grids. Presented at Proceedings of the Twelfth ACM International Conference on Future Energy Systems

Task inefficiency patterns for a wave equation solver (2021)
Presentation / Conference Contribution
Schulz, H., Brito Gadeschi, G., Rudyy, O., & Weinzierl, T. (2021, December). Task inefficiency patterns for a wave equation solver. Presented at IWOMP 2021, Bristol

Short-term effects of caffeine intake on binocular accommodative facility: a quantitative and qualitative analysis (2021)
Journal Article
Redondo, B., Vera, J., Koulieris, G.-A., Molina-Romero, R., & Jiménez, R. (2022). Short-term effects of caffeine intake on binocular accommodative facility: a quantitative and qualitative analysis. Clinical and Experimental Optometry, 105(5), 534-538. https://doi.org/10.1080/08164622.2021.1935218

Clinical relevance: Caffeine intake has been demonstrated to influence several physiological measures, including some related to eye physiology. The ability to focus at different distances is of paramount importance in real-world situations, and thus... Read More about Short-term effects of caffeine intake on binocular accommodative facility: a quantitative and qualitative analysis.

Password Hashing and Preprocessing (2021)
Presentation / Conference Contribution
Farshim, P., & Tessaro, S. (2021, October). Password Hashing and Preprocessing. Presented at Advances in Cryptology – EUROCRYPT 2021, Zagreb, Croatia

Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study (2021)
Book Chapter
Drousiotis, E., Pentaliotis, P., Shi, L., & Cristea, A. I. (2021). Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study. In I. Roll, D. McNamara, S. Sosnovsky, R. Luckin, & V. Dimitrova (Eds.), Artificial Intelligence in Education (139-144). Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_25

This study aims to explore and improve ways of handling a continuous variable dataset, in order to predict student dropout in MOOCs, by implementing various models, including the ones most successful across various domains, such as recurrent neural n... Read More about Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study.

Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours (2021)
Presentation / Conference Contribution
Alharbi, K., Cristea, A. I., Shi, L., Tymms, P., & Brown, C. (2021, June). Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours. Presented at Artificial Intelligence in Education, Utrecht

Schoolchildren's academic progress is known to be affected by the classroom environment. It is important for teachers and administrators to under-stand their pupils' status and how various factors in the classroom may affect them, as it can help them... Read More about Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours.

Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0 (2021)
Journal Article
Zhang, P., Gan, P., Aujla, G. S., & Batth, R. S. (2023). Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0. IEEE Internet of Things Journal, 10(4), 2784-2792. https://doi.org/10.1109/jiot.2021.3088577

In the 5G era, the problem of data islands in various industries restricts the development of artificial intelligence technology, so data sharing is proposed. High-quality data sharing directly affects the effectiveness of machine learning models, bu... Read More about Reinforcement Learning for Edge Device Selection using Social Attribute Perception in Industry 4.0.