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Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events (2025)
Journal Article
Ajder, A., Hamza, H. A., & Ayaz, R. (2025). Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events. IEEE Access, 13, 58671-58679. https://doi.org/10.1109/ACCESS.2025.3556540

Accurate electricity consumption forecasting is essential for effective power management, especially in the presence of unpredictable events that disrupt typical consumption patterns. Using the COVID-19 pandemic as a case study for such unpredictable... Read More about Wavelet-Enhanced Hybrid LSTM-XGBoost Model for Predicting Time Series Containing Unpredictable Events.

Quantifying the effects of vibro-compaction on soil heterogeneity and geotechnical uncertainty (2025)
Journal Article
Lloret-Cabot, M., Zhang, K., Zhang, W., Kourdey, A., & Hicks, M. A. (online). Quantifying the effects of vibro-compaction on soil heterogeneity and geotechnical uncertainty. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, https://doi.org/10.1080/17499518.2025.2478636

Geological materials exhibit spatial variability in their properties as a result of their formation. Many studies have focussed on how to characterise this spatial variation by means of the correlation length θ. Such a characterisation has been appli... Read More about Quantifying the effects of vibro-compaction on soil heterogeneity and geotechnical uncertainty.

A Triband Wearable Antenna for Location Tracking Using Cospas-Sarsat and GNSS (2025)
Journal Article
Sheik, R. A., Al-Hadi, A. A., Sabapathy, T., Simorangkir, R. B. V. B., Khan, R., Akkaraekthalin, P., Isa, C. M. N. C., Padmanathan, S., Hossain, T. M., & Soh, P. J. (online). A Triband Wearable Antenna for Location Tracking Using Cospas-Sarsat and GNSS. IEEE Open Journal of Antennas and Propagation, https://doi.org/10.1109/ojap.2025.3553440

This paper presents the design of a tri-band antenna operating in the Cospas-Sarsat (C-S) and GPS/GNSS bands applicable for the Internet of Things (IoT). Implemented with flexible and robust materials, the antenna operates in three distinct frequenci... Read More about A Triband Wearable Antenna for Location Tracking Using Cospas-Sarsat and GNSS.

Swirl momentum control in vortex rings generated experimentally (2025)
Journal Article
Ortega-Chavez, R., Gan, L., & Gaskell, P. (2025). Swirl momentum control in vortex rings generated experimentally. Journal of Fluid Mechanics, 1007, Article A20. https://doi.org/10.1017/jfm.2025.34

Particle image velocimetry is used to study the control of swirl momentum, delivered through an orifice formed by a physically rotating tube of finite length, relevant to the evolution of vortex rings produced at a Reynolds number Re≈1000 based on th... Read More about Swirl momentum control in vortex rings generated experimentally.

Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems (2025)
Journal Article
Khalilzadehtabrizi, S., Mohagheghian, I., & Walker, M. (2025). Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems. Thin-Walled Structures, 212, Article 113127. https://doi.org/10.1016/j.tws.2025.113127

Kirigami, the Japanese art of paper cutting, can be used to generate complex 3D shapes from 2D sheets. Kirigami structures can also be highly stretchable and accommodate extremely large strains from common materials, such as aluminium, which allow re... Read More about Analysis and Design of Kirigami-based Metallic Energy-Dissipating Systems.

An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning (2025)
Presentation / Conference Contribution
Liu, J., Kazemtabrizi, B., Du, H., Matthews, P., & Sun, H. (2024, November). An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning. Presented at 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, USA

With the increasing integration of renewable energy sources into the power grid, accurate and reliable ultra-short-term forecasting of wind power is critical for optimizing grid stability and energy efficiency, especially for a highly dynamic and var... Read More about An Integrated Stacked Sparse Autoencoder and CNN-BLSTM Model for Ultra-Short-Term Wind Power Forecasting with Advanced Feature Learning.

Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study (2025)
Journal Article
Chandran, L. R., Karuppasamy, I., Nair, M. G., Sun, H., & Krishnakumari, P. K. (2025). Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study. Journal of Sensor and Actuator Networks, 14(2), Article 28. https://doi.org/10.3390/jsan14020028

Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy. This survey explores the... Read More about Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study.

Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era (2025)
Presentation / Conference Contribution
Bisu, A. A., Sun, H., & Gallant, A. (2025, January). Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era. Presented at 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), University of Nevada, Las Vegas, USA

In this work, we developed and proposed a real testbed with Integrated Satellite-Terrestrial Network (ISTN) scenario. This topology was used to measure the actual parameters that were used as the Smart Grid (SG) Quality of Service (QoS) metrics. Perf... Read More about Integrated Satellite-Terrestrial Network for Smart Grid Communications in 6G Era.

Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells (2025)
Journal Article
Wang, C., MacKenzie, R. C. I., Würfel, U., Neher, D., Kirchartz, T., Deibel, C., & Saladina, M. (online). Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells. Advanced Energy Materials, Article 2405889. https://doi.org/10.1002/aenm.202405889

Organic photovoltaics (OPV) are a promising solar cell technology well‐suited to mass production using roll‐to‐roll processes. The efficiency of lab‐scale solar cells has exceeded 20% and considerable attention is currently being given to understandi... Read More about Transport Resistance Dominates the Fill Factor Losses in Record Organic Solar Cells.