Kayode Sakariyah Adewole
Associate senior lecturer

Presentation

Kayode is a researcher with a strong background in computer science, specializing in information security, data privacy, machine learning, big data analytics, and the Internet of Things (IoT). I have supervised numerous projects in security- and privacy-related domains, some of which were in close collaboration with the industry partners.

My research focuses on detecting anomalous behaviours in digital environments, particularly on social networking platforms, with emphasis on spam account detection and phishing identification. I have also conducted research in intrusion detection systems, threat intelligence, incident management, and cybersecurity risk analysis. In addition, I am deeply engaged in privacy-preserving techniques, including privacy-preserving data mining, time-series data protection, data anonymization, and secure data processing frameworks in general.

More recently, my work has expanded toward smart home security and privacy, as well as securing smart and connected environments in general. This includes investigating the intersection of AI, IoT, and trustworthiness, with particular attention to risk assessment and privacy-aware system design. I also have a strong interest in pedagogical development, particularly in designing and delivering courses related to security and privacy. I am actively exploring how emerging technologies can enhance teaching and learning while maintaining ethical and privacy considerations.