Research Direction
Current research focuses on addressing the challenges and limitations of applying requirements engineering to AI-based systems, particularly concerning explainability, user interaction, and ethical considerations. This involves exploring various model architectures and algorithms across diverse applications, including intrusion detection, image augmentation, and autonomous vehicles, with a strong emphasis on improving the reliability and trustworthiness of AI systems. The overarching goal is to develop robust and responsible AI methodologies, impacting both the advancement of AI research and the safe deployment of AI in various sectors. This includes developing methods for handling unstructured data and improving the efficiency of AI training and deployment, particularly in resource-constrained environments.
Papers
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Abhishek Hazra, Andrea Morichetta, Ilir Murturi, Lauri Lovén, Chinmaya Kumar Dehury, Victor Casamayor Pujol, Praveen Kumar Donta, Schahram Dustdar
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn, Andrea Filippo Ferraris, Daniele Panfilo, Vanessa Cocca, Sabrina Zinutti, Karel De Schepper, Carlo Rossi Chauvenet