Personal profile
Biography
Dr Zahra Mirzamomen is an education-focused academic passionate about cultivating inclusive, engaging, and intellectually stimulating learning environments in the fields of computer science and information technology. Since joining Monash University in 2020, Dr Mirzamomen has contributed extensively to both undergraduate and postgraduate education within the Faculty of Information Technology, particularly across software engineering, data science, data analytics, and cybersecurity.
Research interests
AI for Teaching and Learning
Software Security
Education/Academic qualification
Artificial Intelligence, PhD, Iran University of Science and Technology
Award Date: 7 Sept 2016
Computer Engineering, Master of Artificial Intelligence, Iran University of Science and Technology
Award Date: 28 Oct 2007
Computer Engineering, Bachelor of Software Engineering, Sharif University of Technology
Award Date: 22 Sept 2005
Research area keywords
- Teaching and learning in Higher Education
- AI in Education
- Software Security
Collaborations and top research areas from the last five years
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Stateful Greybox Fuzzing
Ba, J., Böhme, M., Mirzamomen, Z. & Roychoudhury, A., 2022, Conference Proceedings, 31st USENIX Security Symposium. Butler, K. & Thomas, K. (eds.). CA USA: The USENIX Association, p. 3255-3272 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access103 Citations (Scopus) -
Exploiting associations between class labels in multi-label classification
Mirzamomen, Z. & Ghafooripour, K., 2019, In: Journal of Artificial Intelligence and Data Mining. 7, 1, p. 35-45 12 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
A framework to induce more stable decision trees for pattern classification
Mirzamomen, Z. & Kangavari, M. R., 2017, In: Pattern Analysis and Applications . 20, 4, p. 991-1004 14 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile6 Citations (Scopus) -
Evolving fuzzy min–max neural network based decision trees for data stream classification
Mirzamomen, Z. & Kangavari, M. R., 2017, In: Neural Processing Letters. 45, 1, p. 341-363 23 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile17 Citations (Scopus) -
Fuzzy min-max neural network based decision trees
Mirzamomen, Z. & Kangavari, M. R., 15 Jun 2016, In: Intelligent Data Analysis. 20, 4, p. 767-782 16 p.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus)