Mr Mehdi Kholoosi
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
Mehdi Kholoosi is a PhD student with the Center for Research on Engineering Software Technologies (CREST) at the University of Adelaide under the supervision of Professor M. Ali Babar. His research interests lie in Cybersecurity and Natural Language Processing and their interdisciplinary applications. Previously his publications were in the areas of Machine Translation and Text Mining.
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Persian | Can read, write, speak, understand spoken and peer review |
| Year | Citation |
|---|---|
| 2023 | Kholoosi, M. M., Babar, M. A., & Yilmaz, C. (2023). Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels. |
| 2017 | Kholoosi, M. M., Rezapour, A., Sadreddini, M. H., & Fakhrahmad, S. M. (2017). A Multi-Level Reordering Model for Statistical Machine Translation Using Source Side Parse Trees. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 17(7), 281-288. WoS1 |
| Year | Citation |
|---|---|
| 2024 | Mehdi Kholoosi, M., Ali Babar, M., & Croft, R. (2024). A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality. In Proceedings 2024 IEEE 6th International Conference on Trust Privacy and Security in Intelligent Systems and Applications Tps ISA 2024 (pp. 107-117). DC, Washington: IEEE COMPUTER SOC. DOI Scopus4 |
| 2023 | Mehdi Kholoosi, M., Ali Babar, M., & Yilmaz, C. (2023). Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels. In 2023 IEEE Conference on Communications and Network Security, CNS 2023 (pp. 9 pages). Online: IEEE. DOI Scopus2 WoS2 |
| 2023 | Croft, R., Babar, M. A., & Kholoosi, M. M. (2023). Data Quality for Software Vulnerability Datasets. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) (pp. 121-133). Online: IEEE. DOI Scopus113 WoS91 |
| 2022 | Ul Haque, M., Kholoosi, M. M., & Babar, M. A. (2022). KGSecConfig: A Knowledge Graph Based Approach for Secured Container Orchestrator Configuration. In Proceedings - 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022 (pp. 420-431). Online: IEEE. DOI Scopus23 WoS20 |
| Year | Citation |
|---|---|
| 2024 | Kholoosi, M. M., Babar, M. A., & Croft, R. (2024). A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality. |
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