Dr. Kieran Fraser
Dr. Kieran Fraser
Biography
Dr. Kieran Fraser is a researcher and engineer specializing in artificial intelligence, security, and human-computer interaction. His work focuses on the development of advanced AI systems, with particular expertise in synthetic data generation, adversarial machine learning, and large language models.
He earned his PhD in Computer Science from Trinity College Dublin, where his research explored innovative approaches to push-notification technologies. His doctoral work, ETHOS Push, introduced an empathetic framework for notification orchestration, aiming to improve how users and organizations interact with digital communication systems.
Dr. Fraser combines strong technical expertise with applied research, contributing to the development of secure, scalable, and user-centered AI technologies.
Teaching Experience
Dr. Kieran Fraser has been actively involved in academic and research environments, contributing to the advancement of knowledge in artificial intelligence and data-driven systems.
During his time at the ADAPT Centre, he led projects that combined research with real-world application, including the commercialization of AI-driven communication technologies. His work involved mentoring teams, managing research initiatives, and bridging the gap between technical development and practical implementation.
His teaching and mentoring approach focuses on equipping learners with both the theoretical foundations and practical skills needed to design and deploy modern AI systems.
Industry Expertise
Dr. Kieran Fraser brings expertise in cutting-edge AI research, with a strong focus on the security, privacy, and robustness of machine learning systems.
He has worked with organizations such as IBM, where he contributes to research on the security and privacy of artificial intelligence. His work spans areas such as adversarial AI for computer vision, large language models, and intelligent agents, alongside the development of advanced methods for synthetic data generation.
His experience combines both foundational research and applied innovation, enabling him to design AI systems that are not only powerful but also secure and reliable. He has contributed to research on key challenges in modern AI, including bias propagation in generated data and the evaluation of generative AI systems through red teaming methodologies.
Earlier in his career, he worked at the ADAPT Centre for Digital Content Technology, where he led a commercialization project focused on empathetic push-notification systems. This role involved market research, product development, and project management, strengthening his ability to translate research into real-world solutions.
Education
● PhD in Computer Science — Trinity College Dublin