Projects per year
Personal profile
Research interests
Sami Azam is currently a senior lecturer and researcher with the College of Engineering and IT, Charles Darwin University, Australia. His research expertise includes machine learning, artificial intelligence, deep learning, advanced signal processing and image analysis. Applications include the classification, detection and modelling of a bio signals, such as electroencephalogram (EEG), electrocardiogram (ECG), and acceleration plethysmogram (APG) as well as medical image analysis for skin cancer detection, breast cancer detection and early diagnosis of diabetic and cardiovascular disease. He has also applied machine learning and other artificial intelligence techniques to detect and classify a range of cyber security threats.
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Projects
- 1 Finished
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Rainmaker Start-up: Creating a permanent and verifiable digital identity using block chain technology
Shanmugam, B., Azam, S. & Mathur, D.
4/10/19 → 30/11/20
Project: Other
Research output
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A combined framework of interplanetary file system and blockchain to securely manage electronic medical records
Al Mamun, A., Faruk Jahangir, M. U., Azam, S., Kaiser, M. S. & Karim, A., 2021, Proceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020. Kaiser, M. S., Bandyopadhyay, A., Mahmud, M. & Ray, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 501-511 11 p. (Advances in Intelligent Systems and Computing; vol. 1309).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
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A review of threat modelling approaches for APT-style attacks
Tatam, M. A., Shanmugam, B., Azam, S. & Krishnan, K., Jan 2021, In: Heliyon. 7, 1, p. 1-19 19 p., e059692.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
A social media adoption framework as pedagogical instruments in higher education classrooms
Hamadi, M., El-Den, J., Narumon Sriratanaviriyakul, C. & Azam, S., 1 Jan 2021, In: E-Learning and Digital Media. 18, 1, p. 55-85 31 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Cognitive learning environment and classroom analytics (cleca): A method based on dynamic data mining techniques
Al Karim, M., Karim, A., Azam, S., Ahmed, E., De Boer, F., Islam, A. & Nur, F. N., 3 Feb 2021, Lecture Notes on Data Engineering and Communications Technologies. Singapore: Springer Singapore, Vol. 59. p. 787-797 11 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 59).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Efficient prediction of cardiovascular disease using machine learning algorithms with relief and lasso feature selection techniques
Ghosh, P., Azam, S., Jonkman, M., Karim, A., Shamrat, F. M. J. M., Ignatious, E., Shultana, S., Beeravolu, A. R. & De Boer, F., 22 Jan 2021, In: IEEE Access. 9, p. 19304-19326 23 p., 9333574.Research output: Contribution to journal › Article › peer-review
Open AccessFile33 Downloads (Pure)
Thesis
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Detection of binaural processing in the human brain
Author: Azam, S., 2016Supervisor: De Boer, F. (Supervisor) & Jonkman, M. (Supervisor)
Student thesis: Doctor of Philosophy (PhD) - CDU
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