Muhammad Johan Alibasa

johan-alibasa-profile

Assistant Professor, Cybersecurity

E: johan.alibasa@monash.edu

  • Accepting PhD students

Johan is currently an Assistant Professor in the Master of Cybersecurity program at Monash University, Indonesia. He earned his Ph.D. from the School of Computer Science at The University of Sydney, Australia, where he was honoured with the School of Computer Science Research Students Excellence Prize.

His research interests include human-computer interaction, software engineering, and applications of AI. Additionally, he explores affective computing and investigates how digital technology use relates to well-being. His work also focuses on automating secure software engineering with AI-powered code analysis and designing human-cantered authentication systems that balance security and usability.

Before joining Monash University, Johan was a lecturer at Telkom University and Sampoerna University in Indonesia. At these institutions, he played a key role in developing the curriculum for the Bachelor of Software Engineering and Bachelor of Information Systems programs, respectively. He is also actively involved in several international conferences as a committee member. Johan holds both a B.Sc. and an M.Sc. in Electrical Engineering from Institut Teknologi Bandung, Indonesia, which he received in 2012 and 2014, respectively.

More information

  • Zhang, Y., Suleiman, B., Alibasa, M. J., & Farid, F. (2024). Privacy-aware anomaly detection in iot environments using fedgroup: A group-based federated learning approach. Journal of Network and Systems Management, 32(1), 20.
  • Alibasa, M. J., Calvo, R. A., & Yacef, K. (2023). Predicting mood from digital footprints using frequent sequential context patterns features. International Journal of Human–Computer Interaction, 39(10), 2061-2075.
  • Alibasa, M. J., Purwanto, R. W., Yacef, K., Glozier, N., & Calvo, R. A. (2020). Doing and feeling: relationships between moods, productivity and task-switching. IEEE Transactions on Affective Computing, 13(3), 1140-1154.
  • Alibasa, M. J., Calvo, R. A., & Yacef, K. (2019). Sequential pattern mining suggests wellbeing supportive behaviors. IEEE Access, 7, 130133-130143.
  • Osop, H., Suleiman, B., Alibasa, M. J., Wrigley, D., Helsham, A., & Asmaro, A. (2023, June). Improving Patients’ Length of Stay Prediction Using Clinical and Demographics Features Enrichment. In International Conference on Computational Science (pp. 120-128). Cham: Springer Nature Switzerland.
  • Alibasa, M. J., Suleiman, B., Bello, A., Anaissi, A., Yan, Q., & Chen, S. (2023, May). Cloud Resources Usage Prediction Using Deep Learning Models. In International Conference on Advances in Computing Research (pp. 443-452). Cham: Springer Nature Switzerland.
  • Zhang, Y., Suleiman, B., & Alibasa, M. J. (2022, November). Fedgroup: a federated learning approach for anomaly detection in iot environments. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (pp. 121-132). Cham: Springer Nature Switzerland.
  • Leung, C. Y. C., Suleiman, B., Alibasa, M. J., & Al-Naymat, G. (2022, November). Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (pp. 81-100). Cham: Springer Nature Switzerland.
  • Suleiman, B., Anaissi, A., Alibasa, M. J., & Truong, H. (2022, June). Multi-contextual recommender using 3D latent factor models and online tensor decomposition. In International conference on computational science (pp. 276-290). Cham: Springer International Publishing.
  • Zhao, J., Suleiman, B., & Alibasa, M. J. (2022, November). Feature encoding by location-enhanced word2vec embedding for human activity recognition in smart homes. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services (pp. 191-202). Cham: Springer Nature Switzerland.
  • Suleiman, B., Lu, K., Chan, H. W., & Alibasa, M. J. (2021, November). DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features. In International Conference on Service-Oriented Computing (pp. 811-818). Cham: Springer International Publishing.
  • Alibasa, M. J., & Calvo, R. A. (2019, September). Supporting mood introspection from digital footprints. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 96-101). IEEE.
  • Alibasa, M. J., Santos, M. R., Glozier, N., Harvey, S. B., & Calvo, R. A. (2017, December). Designing a secure architecture for m-health applications. In 2017 IEEE Life Sciences Conference (LSC) (pp. 91-94). IEEE.

Teaching Interest:

  • Computer Architecture and Networks
  • Software Security
  • Network Security
  • Software Engineering
  • Software Development
  • Information Security

Research Interest:

  • Human-Computer Interaction
  • Secure and Reliable Software Engineering
  • Applications of AI
  • AI-powered Code Analysis
  • Network Security
  • KONEKSI Collaborative Grants (2024-2026). Co-Principle Investigator for "SINTESIS: Study of Inclusive Technology and Empowerment Significance in Stunting Reduction," a project led by the Unit Kajian Gender dan Seksualitas, FISIP, Universitas Indonesia, in partnership with Yayasan Kesehatan Perempuan (YKP), and the Monash Herb Feith Indonesian Engagement Centre. Co-Principal Investigators: Dr. Sari Ratri and Dr. Diana Pakasi.
  • TIFA Foundation Research Grant (2022). Co-researcher for "Digital Activism Campaign in Indonesia 2016-2021," with Dr. Muhammad Fajar and Dr. Yoes Kenawas at IFAR Atma Jaya, as well as Dr. Luthfi Adam at IFAR Monash Indonesia
  • Development Dialogue Asia Grant (2022) for Media and Climate Activism Campaign. Led researcher for grant-funded projects at Remotivi.
  • American Political Science Association Asia Workshop Grant (2021) – Dissertation travel research grant ($1,000).
  • American-Indonesian Cultural Educational Foundation (2021) – Dissertation travel research grant ($3,000).
  • Minar Memorial Summer Award, Northwestern University (2020, 2019, 2018) – Summer research grants ($750 each).
  • Buffett Institute for Global Studies, Northwestern University (2019) – Pre-Dissertation Fieldwork summer research grant ($4,000).
  • War and Society Working Group Grant, Buffett Institute (2018) – Archival research grant ($1,000).
  • Telkom University Research Grant Holder 2021, 2022, and 2023.
  • School of Computer Science Research Students Excellence Prize 2019.