Johan Alibasa

Johan Alibasa is an Assistant Professor in the Master of Cybersecurity program at Monash University Indonesia. He holds a PhD in Computer Science from the University of Sydney and has previously served as a lecturer at Telkom University and Sampoerna University in Indonesia, where he contributed to curriculum development in software engineering and information systems.

Education:

• PhD in Computer Science, University of Sydney
• M.Sc. in Computer Engineering (Electrical Engineering), Institut Teknologi Bandung
• B.Sc. in Computer Engineering (Electrical Engineering), Institut Teknologi Bandung

His research focuses on the integration of human factors with cybersecurity and software engineering. Key areas include human-computer interaction, affective computing, and the application of artificial intelligence to improve secure software development and user authentication. He investigates how cognitive load affects user interaction with security systems and designs usability-balanced, human-centered authentication mechanisms.

The two most recent publications highlight a strong interdisciplinary trend, merging affective computing with cybersecurity (2022) and designing secure architectures for mobile health applications (2017). These works reflect a consistent focus on securing digital systems while maintaining user experience and cognitive efficiency, particularly in health and mobile domains.

Scientific Awards:

• School of Computer Science Research Students Excellence Prize, University of Sydney

Johan is actively involved in PhD supervision and contributes to the academic community through service on conference committees and peer review. His work aligns with the UN Sustainable Development Goals, particularly in advancing quality education and leveraging technology for societal benefit. He has contributed to curriculum design and fosters research that bridges theory and real-world applications in cybersecurity and AI.

Johan is a member of international research networks and collaborates across countries, with recent work involving researchers from Australia and Indonesia. His lab-level activities focus on secure AI systems, affective user modeling, and privacy-preserving federated learning, though no formal lab name is mentioned.