Dr Harsha Kalutarage
| Biography | Harsha is an Associate Professor of Cybersecurity at the School of Computing, Engineering, and Technology, Robert Gordon University (RGU). Previously, he served as a Senior Research Engineer in Security Data Analytics at the Centre for Secure Information Technologies (CSIT), Queen's University Belfast. Earlier in his career, Harsha was a postdoctoral researcher on the ACiD project at Coventry University. For more information, visit https://sites.google.com/view/harshakalutarage |
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| Research Interests | Dr. Kalutarage's research lies at the intersection of Artificial Intelligence and Cybersecurity, with a strong emphasis on applying AI techniques to security challenges, such as those in IoT and Cyber-Physical Systems, and enhancing the security of AI-embedded systems by identifying and addressing vulnerabilities in AI algorithms. With over a decade of experience, Dr. Kalutarage has a robust background in applied computer science, driving innovations in Cyber Security to solve real-world problems. His work includes 70+ publications, patents, and technology transfers to industry, reflecting his commitment to both academic advancement and practical impact. He has also been an invited speaker, guest editor, technical co-chair, and program committee member for numerous conferences and workshops in his field. Dr. Kalutarage is currently accepting self-funded PhD students to conduct research on AI-driven penetration testing and securing AI-enabled systems. Applicants should hold a Bachelor's degree in Computer Science (UK equivalent 1st or 2nd upper) and demonstrate a strong interest in Cybersecurity and Artificial Intelligence. For inquiries, please get in touch with him. |
| Teaching and Learning | - Security Testing (MSc/GA-MSc) - Wireless Networks (BSc) - Machine Learning for Cyber Security (MSc/BSc) – newly created module, to give students the opportunity to evaluate and apply AI technologies in cyber security (eg. use of AI for security monitoring, AI enabled pentesting**, pentesting of AI-enabled systems** via analysing the vulnerabilities of AI/ML algorithms). **Accepting PhD students (self-funded) in these areas |
| ResearcherID | K-7455-2015 |
| Scopus Author ID | 55364477000 |
| PhD Supervision Availability | Yes |
| PhD Topics | I'm accepting PhD students (self-funded) to carry out a research project on AI-enabled pentesting and pentesting of AI-enabled systems. If you have a Bachelor's degree in Computer Science (UK equivalent 1st or 2nd upper) and a strong interest in Cyber Security and Artificial Intelligence, do not hesitate to contact me. |