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The intersection of datafication and data justice in higher education (2025)
Presentation / Conference Contribution
Fabian, K. (2025, October). The intersection of datafication and data justice in higher education. Presented at Connecting Space, Data and Society: Interdisciplinary Pathways, London

There has been an increasing uptake of technology in the classroom, either for teaching or for classroom management purposes. Along with this uptake is the increasing datafication of education. Datafication is the process of rendering social and natu... Read More about The intersection of datafication and data justice in higher education.

GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios (2025)
Journal Article
Liu, Q., Wang, Z., Zhou, X., Zhang, Y., Liu, X., & Lin, H. (in press). GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios. ACM transactions on autonomous and adaptive systems,

The advancement of mobile multimedia communications, 5G, and Internet of Things (IoT) has led to the widespread use of edge devices, including sensors, smartphones, and wearables. This has generated in a large amount of distributed data, leading to n... Read More about GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios.

Urban agriculture land suitability assessment using AHP and geospatial analysis in Gondar Zuria, Ethiopia (2025)
Journal Article
Badasa Moisa, M., Karuppannan, S., Jie Wong, Y., & Khaddour, L. A. (online). Urban agriculture land suitability assessment using AHP and geospatial analysis in Gondar Zuria, Ethiopia. DYSONA – Applied Science, https://doi.org/10.30493/das.2025.478550

In a context of growing population and escalating food demand, urban agriculture emerges as a crucial solution for enhancing food security and promoting ecological sustainability globally. This study aims to analyze land suitability for urban agricul... Read More about Urban agriculture land suitability assessment using AHP and geospatial analysis in Gondar Zuria, Ethiopia.

Impact of Climate Variability on Maize Yield Under Different Climate Change Scenarios in Southern India: A Panel Data Approach (2025)
Journal Article
Senthilnathan, S., Benson, D., Prasanna, V., Mallick, T., Thiyagarajan, A., Ramasamy, M., & Sundaram, S. (2025). Impact of Climate Variability on Maize Yield Under Different Climate Change Scenarios in Southern India: A Panel Data Approach. Earth, 6(1), Article 16. https://doi.org/10.3390/earth6010016

The changes in frequency and intensity of rainfall, variation in temperature, increasing extreme weather events, and rising greenhouse gas emissions can together have a varying impact on food grain production, which then leads to significant impacts... Read More about Impact of Climate Variability on Maize Yield Under Different Climate Change Scenarios in Southern India: A Panel Data Approach.

Diagnosis of Rotor Asymmetries in Induction Motors: A Steady State Approach Using Rotating Frame References (2025)
Journal Article
Santos, F. V., Frosini, L., & Sotelo, D. M. (2025). Diagnosis of Rotor Asymmetries in Induction Motors: A Steady State Approach Using Rotating Frame References. e-Prime - Advances in Electrical Engineering, Electronics and Energy, 12, Article 100957. https://doi.org/10.1016/j.prime.2025.100957

The diagnostic of electrical machines is of paramount importance, particularly with the Motor Current Signature Analysis (MCSA) method. MCSA stands out as a potent and non-intrusive tool for evaluating the condition of electric motors. This paper int... Read More about Diagnosis of Rotor Asymmetries in Induction Motors: A Steady State Approach Using Rotating Frame References.

Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges (2025)
Journal Article
Abdel Aziz, S., Wang, X., Hawbani, A., Qureshi, . B., Alsamhi, S. H., Alabsi, A., Zhao, L., Al-Dubai, A., & Ismail, . A. (online). Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2025.3549414

Recently, a plethora of promising green energy provisioning technologies has been discussed in the orientation of prolonging the lifetime of energy-limited devices (e.g., sensor nodes). Wireless rechargeable sensor networks (WRSNs) have emerged among... Read More about Wireless Rechargeable Sensor Networks: Energy Provisioning Technologies, Charging Scheduling Schemes, and Challenges.

The Accuracy of Artificial Intelligence in the Diagnosis of Soft Tissue Sarcoma: A Systematic Review and Meta-analysis (2025)
Journal Article
Al-Obeidat, F., Rashid, A., Hafez, W., Gibbaoui, H., Ayoub, G., Ameer, S. A., Venkatachalapathi, A. K., Gador, M., Hassan, S., Ibrahim, M. A., Hamza, N., & Cherrez-Ojeda, I. (online). The Accuracy of Artificial Intelligence in the Diagnosis of Soft Tissue Sarcoma: A Systematic Review and Meta-analysis. Current Problems in Surgery, https://doi.org/10.1016/j.cpsurg.2025.101743

Introduction
Soft-tissue sarcomas (STSs) constitute a rare group of malignancies. Diagnostic biopsies require experts and are invasive with long diagnostic intervals. Artificial intelligence (AI)-based STS models may serve as accurate detection and... Read More about The Accuracy of Artificial Intelligence in the Diagnosis of Soft Tissue Sarcoma: A Systematic Review and Meta-analysis.

Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids (2025)
Journal Article
Ibiam, N. H., Kahwash, F., & Ahmed, J. (2025). Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids. Energies, 18(6), 1343. https://doi.org/10.3390/en18061343

Many developing countries suffer from unreliable grids and rolling blackouts on a daily basis. Losing electricity in healthcare facilities can be detrimental to human life and the required health services. Thus, it is often necessary to keep critical... Read More about Priority Load Management for Improving Supply Reliability of Critical Loads in Healthcare Facilities Under Highly Unreliable Grids.

Re-evaluating Bioplastic Blend Wastes through Mechanical Recycling and Chemical Modification (2025)
Journal Article
Eil Bakhtiari, S. S., Shyha, I., Sun, D., Nofar, M., & Salehiyan, R. (online). Re-evaluating Bioplastic Blend Wastes through Mechanical Recycling and Chemical Modification. Advanced Industrial and Engineering Polymer Research, https://doi.org/10.1016/j.aiepr.2025.03.001

The escalating environmental challenges posed by conventional plastics have amplified the importance of biodegradable polymers as sustainable alternatives. However, addressing their recyclability and reprocessing is critical to enhancing their enviro... Read More about Re-evaluating Bioplastic Blend Wastes through Mechanical Recycling and Chemical Modification.

A novel TLS-based Fingerprinting approach that combines feature expansion and similarity mapping (2025)
Journal Article
Thomson, A., Maglaras, L., & Moradpoor, N. (2025). A novel TLS-based Fingerprinting approach that combines feature expansion and similarity mapping. Future Internet, 17(3), Article 120. https://doi.org/10.3390/fi17030120

Malicious domains are part of the landscape of the internet but are becoming more prevalent and more dangerous to both companies and individuals. They can be hosted on variety of technologies and serve an array of content, ranging from Malware, comma... Read More about A novel TLS-based Fingerprinting approach that combines feature expansion and similarity mapping.

Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities (2025)
Journal Article
Yigit, Y., Amine Ferrag, M., Ghanem, M. C., Sarker, I. H., Maglaras, L. A., Chrysoulas, C., Moradpoor, N., Tihanyi, N., & Janicke, H. (2025). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. Sensors, 25(6), Article 1666

Critical National Infrastructures (CNIs)—including energy grids, water systems, 1 transportation networks, and communication frameworks—are essential to modern society 2 yet face escalating cybersecurity threats. This review paper comprehensively ana... Read More about Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities.

Is Malware Detection Needed for Android TV? (2025)
Journal Article
Ozogur, G., Gurkas-Aydin, Z., & Erturk, M. A. (2025). Is Malware Detection Needed for Android TV?. Applied Sciences, 15(5), Article 2802. https://doi.org/10.3390/app15052802

The smart TV ecosystem is rapidly expanding, allowing developers to publish their applications on TV markets to provide a wide array of services to TV users. However, this open nature can lead to significant cybersecurity concerns by bringing unautho... Read More about Is Malware Detection Needed for Android TV?.

Towards Circular Buildings in Hong Kong: A New Integrated Technology-Material-Design (TMD) Circularity Assessment Framework (2025)
Journal Article
Lau, E. K. S., Chan, D. W. M., Oluleye, B. I., & Olawumi, T. O. (2025). Towards Circular Buildings in Hong Kong: A New Integrated Technology-Material-Design (TMD) Circularity Assessment Framework. Buildings, 15(5), Article 814. https://doi.org/10.3390/buildings15050814

As Hong Kong faces increasing pressure on resources and environmental sustainability, there is a growing need to shift towards circular building practices. The ever-increasing demand for sustainable urban development necessitates innovative approache... Read More about Towards Circular Buildings in Hong Kong: A New Integrated Technology-Material-Design (TMD) Circularity Assessment Framework.

Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications (2025)
Journal Article
Ghamari, M., Suvish, Hwang See, C., Yu, H., Anitha, T., Balamurugan, V. T., Velusamy, S., Hughes, D., & Sundaram, S. (online). Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications. The Chemical Record, https://doi.org/10.1002/tcr.202400249

The escalating global waste crisis necessitates innovative solutions. This study investigates the sustainable production of nanocellulose from biomass waste and its biomedical applications. Cellulose‐rich materials–including wood, textiles, agricultu... Read More about Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications.

Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC (2025)
Journal Article
Zhao, L., Li, L., Tan, Z., Hawbani, A., He, Q., & Liu, Z. (online). Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC. IEEE Internet of Things, https://doi.org/10.1109/jiot.2025.3546915

Connected and autonomous vehicles (CAVs) are an important paradigm of intelligent transportation systems. Cooperative perception (CP) and vehicular edge computing (VEC) enhance CAVs’ perception capacity of the region of interest (RoI) while alleviati... Read More about Multi-Agent Deep Reinforcement Learning-Based Cooperative Perception and Computation in VEC.

Coupled magneto-mechanical growth in hyperelastic materials: Surface patterns modulation and shape control in bio-inspired structures (2025)
Journal Article
Li, Z., Wang, Y., Wang, Z., Kadapa, C., Hossain, M., Yao, X., & Wang, J. (2025). Coupled magneto-mechanical growth in hyperelastic materials: Surface patterns modulation and shape control in bio-inspired structures. Journal of the Mechanics and Physics of Solids, 200, Article 106089. https://doi.org/10.1016/j.jmps.2025.106089

Magneto-mechanical coupling in the growth of soft materials presents challenges due to the complex interactions between magnetic fields, mechanical forces, and growth-induced deformations. While growth modeling has been extensively studied, integrati... Read More about Coupled magneto-mechanical growth in hyperelastic materials: Surface patterns modulation and shape control in bio-inspired structures.

’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying (2025)
Journal Article
White, P., Le Goff, L., Emery, L., Abrahams, C., Findlay, M., Cook, J., Macleod, K., Deacon, L., Reason, P., Stanhope, K., Wale, M., Hart, E., & Diele, K. (2025). ’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying. In Practice (CIEEM), 27, 47-52

At the 2023 CIEEM Modernising Ecology conference, a robot greeted the attendees as they arrived. Was it a glimpse into the future? As with other technologies, robots have the potential to revolutionise ecological surveying, yet this comes with both o... Read More about ’Bots on the Ground vs Boots on the Ground: The Future of Robots in Terrestrial Ecological Surveying.