Research Output per year
Research Output per year
Personal profile
Biography
Zahra 's work is focused on the stateful fuzzing techniques that can discover vulnerabilities that could otherwise be used for remote arbitrary execution attacks. She received the BS degree in Software Engineering from Sharif University of Technology and the MSc and PhD degrees in Artificial Intelligence from Iran University of Science and Technology. She has been teaching and supervising in several undergraduate and graduate level courses (e.g. Pattern Recognition, Data Mining, Artificial Intelligence, Operating Systems, Database, Fundamentals of Programming and Advanced Programming) at Shahid Rajaee University (SRU) since her PhD candidacy.
Research interests
Cybersecurity
Machine Learning
Artificial Intelligence
Research area keywords
- Cybersecurity
- Automated software engineering
- Machine Learning
- Artificial intelligence
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
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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 AccessFile2 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 AccessFile9 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
4 Citations (Scopus) -
Cross Split Decision Trees for pattern classification
Mirzamomen, Z., Fekri, M. N. & Kangavari, M., 2015, Proceedings of The 5th International Conference on Computer and Knowledge Engineering (ICCKE 2015). Rasoolzadegan, A. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 240-245 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
3 Citations (Scopus)