Projects per year
Personal profile
Biography
Dr Helia Farhood has obtained her PhD degree in Computer Systems (Image Processing) from the University of Technology Sydney (UTS). Her research interests focus on Artificial Intelligence, Machine Learning, and Image Processing.
Education/Academic qualification
Computer-AI, PhD degree, University of Technology Sydney (UTS)
1 Mar 2017 → 3 Nov 2021
Award Date: 3 Nov 2021
Computer-AI, Master degree, Amirkabir University of Technology (Tehran Polytechnic)
Feb 2011 → Sept 2013
Award Date: 20 Sept 2013
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Projects
- 1 Finished
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Estimating the Number of Tyres in Stockpiles
Muller, S. (Primary Chief Investigator), Beheshti, A. (Chief Investigator), Farhood, H. (Research Assistant) & Moka, S. (Research Assistant)
3/10/22 → 9/12/22
Project: Research
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Artificial intelligence-based personalised learning in education: a systematic literature review
Farhood, H., Nyden, M., Beheshti, A. & Muller, S., Dec 2025, In: Discover Artificial Intelligence. 5, p. 1-41 41 p., 331.Research output: Contribution to journal › Review article › peer-review
Open AccessFile24 Link opens in a new tab Citations (Scopus)10 Downloads (Pure) -
Presentation attack detection: a systematic literature review
Pooshideh, M., Beheshti, A., Qi, Y., Farhood, H., Simpson, M., Gatland, N. & Soltany, M., Jan 2025, In: ACM Computing Surveys. 57, 1, p. 1-32 32 p., 25.Research output: Contribution to journal › Review article › peer-review
Open Access17 Link opens in a new tab Citations (Scopus) -
Advancing student outcome predictions through generative adversarial networks
Farhood, H., Joudah, I., Beheshti, A. & Muller, S., Dec 2024, In: Computers and Education: Artificial Intelligence. 7, p. 1-13 13 p., 100293.Research output: Contribution to journal › Article › peer-review
Open AccessFile16 Link opens in a new tab Citations (Scopus)130 Downloads (Pure) -
Evaluating and enhancing artificial intelligence models for predicting student learning outcomes
Farhood, H., Joudah, I., Beheshti, A. & Muller, S., Sept 2024, In: Informatics. 11, 3, p. 1-17 17 p., 46.Research output: Contribution to journal › Article › peer-review
Open AccessFile26 Link opens in a new tab Citations (Scopus)223 Downloads (Pure) -
Improving deep learning transparency: leveraging the power of LIME heatmap
Farhood, H., Najafi, M. & Saberi, M., 2024, Service-Oriented Computing – ICSOC 2023 Workshops: AI-PA, ASOCA, SAPD, SQS, SSCOPE, WESOACS and Satellite Events, 2023, revised selected papers. Monti, F., Plebani, P., Moha, N., Paik, H.-Y., Barzen, J., Ramachandran, G., Bianchini, D., Tamburri, D. A. & Mecella, M. (eds.). Singapore: Springer, Springer Nature, p. 72-83 12 p. (Lecture Notes in Computer Science; vol. 14518).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review