Publications
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A novel hardware-software strategy for thermal chamber temperature control and PV energy optimization
This paper presents a hardware–software temperature regulation strategy for photovoltaic (PV) powered thermal chambers, combining Maximum Power Point Tracking (MPPT) with a high-side NMOS power disconnection mechanism. The proposed strategy disconnects the boost converter from the PV panel once the thermal setpoint is reached, allowing the PV array to operate freely and supply excess energy […]
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Community-based Vulnerability Prediction Framework for IoT Intrusion Detection using only Network Topology
Internet of Things networks in critical infrastructure face sophisticated attacks that exploit structural vulnerabilities. Existing intrusion detection methods analyze individual devices, missing patterns that emerge when functionally related devices organize into communities that communicate more frequently with each other than with the rest of the network. Current structural analysis approaches examine either individual devices or […]
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Energy-Aware Scheduling in a Flexible Flow Shop Using a Hybrid Constraint Programming Approach
This paper addresses energy-efficient production scheduling in a flexible flow shop by integrating advanced energy flexibility strategies. A smart manufacturing setting is considered, with energy supplied from multiple sources: grid electricity with time-of-use pricing, photovoltaic generation, and an energy storage system. In addition, a demand bidding mechanism allows the facility to submit curtailment capacity bids […]
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Supervised machine learning models for accurate prediction of micro pump displacement
This study presents a supervised learning framework for predicting the maximum membrane displacement of a shape memory alloy (SMA) antagonistic micro pump subjected to material and geometric uncertainties. SMA micro pumps are indeed promising candidates for precise fluid control in microfluidics, but their nonlinear and hysteretic thermomechanical behavior makes parametric analyses and uncertainty evaluation using […]
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Toward Imprecision-Aware RUL Forecasting: ANFIS-Ensemble Approach
Engine health monitoring in aeronotical domain is crucial. Aircraft engines operate under crucial conditions, and their failure can have major safety and operational consequences. The prognostic & health management (PHM) of engines plays an important role in keeping the operation of engines steady and secure. The main purpose of PHM is to predict future machinery […]
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Applying the technology acceptance model to risk communication dashboards: a case study
Purpose: This study examines how the design characteristics of risk communication dashboards influence user acceptance in Small and Medium-sized Enterprises (SMEs). As dashboards become essential for data-driven decision-making, identifying which visual and functional elements drive adoption is critical. The research focuses on features that most strongly affect perceived usefulness (PU) and perceived ease of use […]
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Bi-Objective Electric Vehicle Charging Scheduling with Stochastic Vehicle Arrivals
Electric vehicles present a sustainable alternative to conventional transportation due to their reduced environmental impact and enhanced energy efficiency. However, their prolonged charging times create significant operational hurdles, motivating the development of intelligent scheduling systems that optimize charging resources and improve operational efficiency. In this paper, we address the constrained multi-objective stochastic scheduling problem for […]
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Enhancing decision-making in Industry 5.0 through adaptive human–machine interfaces: A systematic literature review
In the dynamic landscape of Industry 5.0, adaptive human–machine interface (HMI) plays a pivotal role in shaping decision-making processes. This study constitutes a systematic literature review focusing on adaptive HMI in Industry 5.0, exploring their applications and implications within the decision-making context. The research objectives are structured around key questions, addressing the manifestation of adaptive […]
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Safety-aware smart parking recommendations for shared micro-mobility using deep reinforcement learning
The rapid expansion of shared micro-mobility services has intensified safety concerns in dense urban environments in recent years. Traffic complexity and infrastructure limitations increase accident risks, yet safety aspects are often overlooked by operators and existing decision-support systems. Current safety-oriented approaches mainly rely on static analyzes, historical accident data, or infrastructure-based interventions, which often lack […]
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Efficient AudioVisual Fusion Architectures for Emotion Recognition
Emotion recognition plays a critical role in the development of adaptive, human-aware intelligent systems. In this work, we propose an end-to-end audiovisual emotion recognition framework that integrates speech signals and facial expressions using lightweight deep learning architectures. To develop the end-to-end architecture, we first benchmark several pretrained convolutional neural networks, employing confidence interval estimation to […]
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DRAGON: A Dynamic Risk-Aware Graph Optimization Network for Adaptive Building Evacuation Using Graph Convolutional Network and Q-Learning
Efficient evacuation route planning in dynamic environments remains a major challenge, particularly when environmental risks and accessibility conditions change rapidly during emergencies. Traditional shortest-path algorithms, while effective in static graphs, often fail to adapt to evolving conditions, leading to suboptimal or unsafe evacuation guidance. This study aims to develop an adaptive and intelligent evacuation routing […]
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Coupling Pricing Decisions with Aircraft and Gate Scheduling in Airport Operations
Airlines increasingly emphasize operational flexibility to adapt schedules to fluctuating de mand. Pricing decisions directly influence expected passenger numbers, and when demand is insufficient for a large aircraft, companies may reassign a smaller one, provided capacity, aircraft–gate compatibility, and crew constraints are satisfied. Such changes require gate reassignment, making pricing, aircraft assignment, gate allocation, and […]