Research outputs per year
Research outputs per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related links
Qualifications
Master of Computing
Bachelor of Science, Oklahoma State University
Doctor of Philosophy, University of Sydney
Master of Engineering (Research), University of Sydney
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Dive into the research topics where Seyed Shahrestani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advancements in machine learning techniques for Diabetes Mellitus: a review of progression, challenges and future directions
Ayoade, O. B., Shahrestani, S. & Ruan, C., 2026, Data Information in Online Environments: 5th International Conference, DIONE 2024, Sanya, China, November 11, 2024, Proceedings. Yu, W. & Xuan, L. (eds.). Switzerland: Springer, p. 114-142 29 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 569 LNICST).Research output: Chapter in Book / Conference Paper › Chapter › peer-review
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Machine learning and deep learning approaches for predicting diabetes progression: a comparative analysis
Ayoade, O. B., Shahrestani, S. & Ruan, C., Jul 2025, In: Electronics (Switzerland). 14, 13, 39 p., 2583.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
The Application of Deep Learning for Classification of Alzheimer's Disease Stages by Magnetic Resonance Imaging Data
Irfan, M., Shahrestani, S. & Elkhodr, M., 2025, In: International Journal of Interactive Multimedia and Artificial Intelligence. 9, 2, p. 18-25 8 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Indoor localization of resource-constrained IoT devices using wi-fi fingerprinting and convolutional neural network
Neupane, I., Shahrestani, S. & Ruan, C., 2024, Proceedings of 2024 Australasian Computer Science Week (ACSW 2024): January 29 - February 1, 2024, Sydney, Australia. U.S.: Association for Computing Machinery, p. 20-25 6 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
Open Access1 Citation (Scopus) -
Machine learning in neurological disorders : a multivariate LSTM and AdaBoost approach to Alzheimer's disease time series analysis
Irfan, M., Shahrestani, S. & Elkhodr, M., Feb 2024, In: Health Care Science. 3, 1, p. 41-52 12 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus)
Projects
- 1 Finished
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Workflow Management for Volunteer Cloud Computing
Javadi Jahantigh, B. (PI) & Shahrestani, S. (Advisor)
24/10/12 → 24/11/13
Project: Research
Activities
- 1 Institute
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Institute of Electrical and Electronics Engineers (IEEE) (Event)
Shahrestani, S. (Member)
1 Jan 1997 → 1 Jan 2017Activity: Membership › Institute