Ihsen Alouani

Ihsen Alouani is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. His research focuses on trustworthy intelligent systems, emphasizing machine learning security, user data privacy, fairness, and environmental impact. He actively supervises PhD students and leads projects like TR1419ECS (Trustworthy Distributed Brain-inspired Systems) and TR1272ECS (TruDetect).

Key research areas include adversarial machine learning, hardware security, neuromorphic systems, and approximate computing. Notable contributions include defensive approximation techniques, entropy-based adversarial patch removal, and voltage-scaling for security enhancement. He has received the 2024 Outstanding TPC Member Award at DAC.

• Projects: 3 active projects (Trustworthy Distributed Brain-inspired Systems, TruDetect, NIO New Deal Cyber Bid)
• Activities: Keynote talks on ML trustworthiness, invited presentations on neuromorphic computing, and workshop organization
• Labs/Teams: Collaborates on neuromorphic security, hardware trojan detection, and federated learning

Publications span adversarial attacks, defense mechanisms, and neuromorphic architectures, with over 67 research outputs from 2016–2025. His work bridges theoretical security frameworks with hardware implementations for real-world resilience.