Research Fellows

He holds an M.Sc. in Computer Science from the University of Turin (Turin, Italy), with a specialization in Artificial Intelligence. With a career spanning over two years in the cybersecurity sector, he has now embarked on a Ph.D. journey at the University of Turin, under the supervision of Prof. Luigi di Caro. His research focuses on the convergence of Privacy and Artificial Intelligence, particularly within the realm of Natural Language Processing (NLP). Beyond academia, Stefano is passionate about ethical and fair AI practices, advocating for the creation of technology solutions that prioritize responsibility.

Within the KURAMi Project, he carries out his research activities at the University of Turin, under the supervision of Prof. Luigi Di Caro.

He holds both an M.Sc. and a Ph.D. in Computer Science from the Covenant University (Ogun State, Nigeria). He is a scientific researcher who is passionate about ensuring trustworthiness through model explainability and minimizing the privacy and security risks associated with existing and emerging knowledge-based and Artificial Intelligence (AI) technologies while preserving their utility. In particular, his Ph.D. focused on addressing privacy and security concerns while enhancing fairness, transparency, and trustworthiness within federated learning cybersecurity models. This focus was specifically centered on the detection of AI-driven attacks within financial institutions. He has previously worked as a research assistant at the Center for Software Engineering, Modelling, and Intelligent Systems Research Group (Covenant University), where he worked on explainable Artificial Intelligence as the fourth pillar of zero trust security, the emerging threats of AI-driven attacks, trustworthy machine learning approaches for cyberattack detection, and the implementation of homomorphic encryption on the federated architecture to secure research datasets. He also worked as a research assistant at the Covenant University Center for Research, Innovations, and Discovery, where he contributed to the implementation of a federated Bayesian optimization XGBoost model for cyberattack detection on the Internet of Medical Things (IoMT). His research interests include combating the use of private data to propagate disinformation and misinformation, federated learning, and privacy-preserving techniques for ensuring data privacy, as well as the relationship between cognitive load and emotional arousal in sharing confidential data on social media applications and enhancing data privacy and security in online/emerging scenarios. He is a member of the Institute of Software Practitioners of Nigeria and the International Association of Engineers.

Within the KURAMi Project, he carries out his research activities at the University of Milan (La Statale), under the supervision of Prof. Giovanni Livraga

He holds an M.Sc. in Biophysics from the Autonomous University of Madrid (Madrid, Spain) and a Ph.D. in Machine Learning and Computational Neuroscience from the University of Sherbrooke (Montreal, Canada), specializing in Gradient Stability. His Ph.D. research has demonstrated the efficacy of Gradient Stability as a framework for understanding biologically plausible spiking neurons. Additionally, his work has revealed a misinterpretation of gradient explosion in deep recurrent networks, where an additive exponential explosion was previously inaccurately characterized. He proposed pretraining to stability as a viable strategy for enhancing the generalization capabilities of a broad spectrum of deep recurrent networks. Moreover, in collaboration with MILA, he contributed to the development of the HoME dataset for multimodal embodied learning. Furthermore, he designed U-BESD, a neural network aimed at assisting the hearing impaired in isolating the sounds they wish to focus on. His current research interest focuses on the use of State-Space Models for Natural Language Processing and Generation, to build privacy-preserving Information Retrieval Systems that are robust to misinformation.

Within the KURAMi Project, he carries out his research activities at the University of Milano-Bicocca, under the supervision of Prof. Marco Viviani