Eduardo Tovar

Universidade do Porto — Portugal

Computer Science · Physical Sciences

36h-index5.6kcitations429works2.72yr avg
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Research Topics

Real-Time Systems Scheduling(158), Embedded Systems Design Techniques(87), Energy Efficient Wireless Sensor Networks(84), Network Time Synchronization Technologies(67), Distributed systems and fault tolerance(54)

Publications429 total

GradCAM-AE: A New Shield Defense against Poisoning Attacks on Federated Learning
ACM Transactions on Privacy and Security·2025Open Access
Not All Green Is Equal: Growth Form Is a Key Driver of Urban Vegetation Sensitivity to Climate in Chicago
Remote Sensing·2025· 1 citedOpen Access
Energy Profiling of Lightweight Authentication protocols for Software-Defined Vehicles
2025
Sheep Facial Pain Assessment Under Weighted Graph Neural Networks
arXiv (Cornell University)·2025Open Access
Sheep Facial Pain Assessment Under Weighted Graph Neural Networks
2025· 1 citedOpen Access
Adaptive Intrusion Mitigation in Software-Defined Vehicles Using Deep Reinforcement Learning
2025· 1 citedOpen Access
Invasive winners and losers: the influence of traits on climate-driven invasive plant range changes
2025Open Access
Exploring Visual Explanations for Defending Federated Learning against Poisoning Attacks
2024Open Access
Energy savings and emissions reduction of BEVs at an isolated complex intersection
Transportation Research Part D Transport and Environment·2024· 3 citedOpen Access
Improved Memory Contention Analysis for the 3-Phase Task Model
2024Open Access
MARS: Safely Instrumenting Runtime Monitors in Real-Time Resource-Constrained Distributed Systems
2024
Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions
Engineering Applications of Artificial Intelligence·2024· 6 citedOpen Access
Reducing the gap between theory and practice in real-time systems with MARS
2024
DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation
IEEE Transactions on Intelligent Transportation Systems·2024· 8 cited
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder
arXiv (Cornell University)·2024Open Access
Exploring LSTM-assisted A2C For Physical Layer Security in Vehicular Cyber-Physical Systems
2024· 4 cited
Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping
2024· 8 citedOpen Access
Age of Information Minimization Using Multi-Agent UAVs Based on AI-Enhanced Mean Field Resource Allocation
IEEE Transactions on Vehicular Technology·2024· 21 cited
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation
arXiv (Cornell University)·2024Open Access
Worst-Case Response Time of Mixed Vehicles at Complex Intersections
IEEE Open Journal of Intelligent Transportation Systems·2024· 3 citedOpen Access
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Frequent Co-authors

Anis Koubâa(20), Mário Alves(16), Francisco Vasques(8), Kai Li(7), Nuno Pereira(6), Wei Ni(6), Ricardo Severino(5), Petr Jurčík(4), Mohsen Guizani(4), Basit Qureshi(3), Mohamed Khalgui(3), Omar Cheikhrouhou(2), André Cunha(2), Björn Andersson(2), Mohamed-Foued Sriti(2), Yasir Javed(2), Alexandre Esper(2), Geoffrey Nelissen(2), Vincent Nélis(2), Oussama Karoui(2)