Dr Costadopoulos specialises in a range of discipline areas, including web and multimedia technologies, information systems, computer security, and cyber ethics. In addition to teaching, he works as a consultant in web and e-commerce technologies and has been involved in the operation of several e-business websites. This hands-on industry experience is incorporated into his teaching to enrich student learning.

His qualifications include a Bachelor of Arts in Communications, majoring in Multimedia; a Master of Technology, majoring in Information Systems Engineering; and a Master of Computing Research. He is currently completing a PhD in Data Science.

Teaching interests

His teaching interests include web and multimedia technologies, e-commerce, management of information systems, introductory cybersecurity, cyber ethics, data science, and artificial intelligence.

Research interests

His research interests include affective computing, data science, machine learning, and knowledge discovery.

Publications

Journal articles

• Costadopoulos, N., Islam, M. Z. & Tien, D. (2021), “A knowledge discovery and visualisation method for unearthing emotional states from physiological data”, International Journal of Machine Learning and Cybernetics, 12, pp. 843–858.
• Bellamy, C. & Costadopoulos, N. (2019), “Building a ‘moral operating system’ for IT students: Pedagogies and problems.”
• Segura Anaya, L. H., Alsadoon, A., Costadopoulos, N. & Prasad, P. W. C. (2018), “Ethical implications of user perceptions of wearable devices”, Science and Engineering Ethics, 24(1), pp. 1–28.

Conference papers

• Costadopoulos, N., Islam, Z. & Tien, D. (2019), “Data mining and knowledge discovery from physiological sensors”, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’19), pp. 468–474.
• Costadopoulos, N., Islam, Z. & Tien, D. (2019), “Discovering emotional logic rules from physiological data of individuals”, Proceedings of the 18th International Conference on Machine Learning and Cybernetics (ICMLC 2019), Kobe, Japan.
• Costadopoulos, N., Islam, Z. & Tien, D. (2019), “Using Z-score to extract human-readable logic rules from physiological data”, Proceedings of the 11th International Conference on Knowledge and Systems Engineering (KSE 2019), IEEE, pp. 1–6.

‍