Publications
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A Literature Review of Public Transport OD Matrix Estimation
Origin–Destination matrices (ODms) are a fundamental input for public transport planning and optimization, as they characterize travel demand across a network. Traditionally estimated from user surveys, ODms are now increasingly inferred from large-scale automatically collected data, such as Automated Fare Collection (AFC), Automated Passenger Counting (APC), and Automated Vehicle Location data (AVL). This review focuses […]
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Hybrid Modeling of a Lithium-Ion Battery Using an Extended Shepherd Model Enhanced with an MLP Neural Network Model
Exact modeling of lithium‐ion batteries is essential for the optimal design and functioning of contemporary energy storage systems. This research introduces a hybrid modeling approach that integrates an extended Shepherd equivalent circuit model (ECM) with a multilayer perceptron (MLP) neural network to improve voltage prediction precision. The ECM parameters are determined utilizing the Red‐Tailed Hawk […]
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Robust Pitch-Angle Control of Floating Offshore Wind Turbines Using Optimized Active Disturbance Rejection Control
This paper presents a robust pitch-angle control strategy for a floating offshore wind turbine (FOWT) based on an optimized active disturbance rejection controller (OADRC). The suggested controller uses the Red-Tailed Hawk (RTH) optimization algorithm to automatically adjust the ADRC parameters. This makes the system better at rejecting disturbances and more robust overall. The optimization process […]
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How interlayer interfaces affect hygro-mechanical ageing in 3D-printed PLA
3D printing, or additive manufacturing, has emerged as a versatile technology enabling the efficient fabrication of complex, customized components. However, despite its numerous advantages, the long-term durability of printed parts, particularly under humid conditions, remains a key concern, especially for polymer-based materials like polylactic acid (PLA). Previous studies have demonstrated that water diffusion into PLA […]
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Optimization of adhesion properties of PLA on cork substrate via FDM: A Taguchi experiment design
This study investigates the optimization of interfacial adhesion between polylactic acid (PLA) and cork substrates using fused deposition modeling (FDM), a topic scarcely explored in the literature. The research question seeks to identify FDM parameters that most strongly influence adhesion strength and microstructural porosity in PLA–cork laminated structures. Cork, a lightweight, elastic, and sustainable material, […]
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HiFEL-OCKT: Hierarchical federated edge learning with objective congruence and multi-level knowledge transfer for IoT ecosystems
The explosive growth of Internet of Things (IoT) data and the demand for real-time decisions necessitate edge intelligence to overcome the latency and bandwidth limitations of cloud-only processing. Real-world IoT ecosystems are characterized by their high heterogeneity, which results from a wide variety of devices, sensors, environments, data, tasks, and resources, posing significant communication and […]
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Multi-objective electric vehicle charging scheduling under stochastic duration uncertainty
The ongoing electrification of the transport sector, driven by the numerous advantages of electric vehicles (EVs), introduces new challenges related to charging logistics, particularly due to long charging durations and uncertain conditions, posing significant negative impacts on grid stability and user satisfaction. While existing literature on EV charging scheduling often assumes deterministic charging durations, real-world […]
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FedWKD: Federated learning weighted aggregation with knowledge distillation for IoT forecasting
Federated Learning (FL) has emerged as a promising solution for decentralized Machine Learning (ML) that does not have direct access to datasets in a centralized manner. However, the traditional FL methods are prone to overfitting and model drift at the client level and server divergence during classic aggregation in case of heterogeneous, non-independent and identically […]
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Influence of Minor Coarse Aggregate Fractions on Hardfill Strength: A Case Study of Mallegue-Amont Dam
This study examines the influence of low proportions (< 2.5% by mass) of 40/63 mm gravel on the shear strength of hardfill used in the Mallegue-Amont Dam (Tunisia). To address the coarse nature of the material, a custom medium-scale direct shear apparatus was developed, despite its nonstandard dimensions. Nine mixtures with varying sand-to-gravel ratios were […]
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Natural Fiber Composites for Sustainable Model Rocketry: Bamboo and Jute as Alternatives to Fiberglass
The search for sustainable alternatives to synthetic composites has become increasingly relevant in aerospace engineering education and student rocketry. Fiberglass is widely used for rocket fuselages due to its favorable balance of performance and cost, but it is energy-intensive, non-biodegradable, and environmentally burdensome. This study provides the first demonstration of natural fiber composites applied to […]
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Failure analysis of putty‑composite patch repair system for wall loss damaged pipelines
Wrapping glass fiber-reinforced polymer (GFRP) composites around damaged pipes are effective method and accepted in practices. The main aim of this paper is to propose new composite repair geometry to optimize the wrap repair thickness for cost-effective repair system using finite using finite element analysis (FEA). Two different repair geometries were considered: one where the […]
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Graph-based federated learning approach for intrusion detection in IoT networks
Internet of Things (IoT) networks face increasing cyber threats that require collaborative intrusion detection across distributed environments. Existing federated learning approaches for intrusion detection have critical architectural and methodological limitations: traditional federated approaches using deep learning methods like LSTM and CNN cannot capture structural patterns as these architectures are not designed to model network graph […]