Personal profile
Research interests
Sami Azam is a Full Professor and IT Discipline Chair for the Faculty of Science and Technology at Charles Darwin University. Holding a PhD in Biomedical Engineering, Dr Azam conducted research on the detection of binaural processing in the human brain during his doctoral studies. His expertise spans various domains, including machine learning, artificial intelligence, deep learning, advanced signal processing, image analysis, and explainable AI. Throughout his career, he has leveraged his knowledge to develop and implement state-of-the-art machine learning models for automated detection, classification, and prediction of data patterns using images and diverse datasets. Applications include the classification, detection and modelling of biosignals, such as electroencephalogram (EEG), electrocardiogram (ECG), and acceleration plethysmogram (APG) as well as medical image and clinical data analysis for early diagnosis of disease. He has also applied his expertise in machine learning and artificial intelligence to address critical issues in data security and the Internet of Things (IoT). He has explored frameworks to enhance privacy and security in electronic health records, aiming to reduce the occurrence of data breaches. He is a key member of the Biomedical Engineering and Health Informatics research group at Charles Darwin University and is a long-term resident of the Northern Territory.
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):
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 5 Gender Equality
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 14 Life Below Water
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SDG 16 Peace, Justice and Strong Institutions
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SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
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2021 Rainmaker Start-up: ARC Industry Transformation Training Centre - Advanced Manufacturing
Krishnan, K. (Principal Investigator/Chief Investigator A), Elumalai, N. K. (Principal Investigator/Chief Investigator A), Thennadil, S. (Principal Investigator/Chief Investigator A), Shanmugam, B. (Principal Investigator/Chief Investigator A), Azam, S. (Principal Investigator/Chief Investigator A) & Yeo, C. (Co Investigator/Chief Investigator B)
7/10/21 → 31/01/23
Project: Research
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2021 Rainmaker Start-up: Discovering the hidden rules and analytic expressions of machine learning models for kidney disease
De Boer, F. (Principal Investigator/Chief Investigator A), Azam, S. (Co Investigator/Chief Investigator B), Jonkman, M. (Chief Investigator C), Cass, A. (Chief Investigator D), Gorham, G. (Chief Investigator E) & Talukder, M. R. (Chief Investigator F)
18/11/21 → 18/10/22
Project: Research
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L4A: 2024 Rainmaker Start-up Language4All
Kutay, C. (Principal Investigator/Chief Investigator A), Khatiwada, N. (Principal Investigator/Chief Investigator A), Ghimire, S. (Principal Investigator/Chief Investigator A), Tucker, T. (Principal Investigator/Chief Investigator A), Azam, S. (Principal Investigator/Chief Investigator A), Shanmugam, B. (Principal Investigator/Chief Investigator A) & Bidwell, N. (Principal Investigator/Chief Investigator A)
1/10/24 → 22/11/25
Project: Research
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A Comprehensive Framework for Clustering Ham and Spam Emails based upon Unsupervised Learning
Azam, S. (Principal Investigator/Chief Investigator A) & Karim, A. (Student Investigator)
5/03/18 → 15/03/22
Project: HDR Project › PhD
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AI-Driven Disaster Waste Management: A Predictive Approach for Remote Australian Communities
Azam, S. (Principal Investigator/Chief Investigator A) & Islam, M. A. (Student Investigator)
26/08/25 → …
Project: HDR Project › Masters by Research
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AI-Enabled Aerial Survey Systems for North Australia’s Coastal Zones
Campbell, H. (Principal Investigator/Chief Investigator A), Azam, S. (Principal Investigator/Chief Investigator A) & Campbell, M. (Principal Investigator/Chief Investigator A)
10/02/26 → 9/02/29
Project: Research
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Building mobile app for NA Community Ground Water Security project
Shanmugam, B. (Principal Investigator/Chief Investigator A) & Azam, S. (Principal Investigator/Chief Investigator A)
22/05/23 → 29/12/23
Project: Research
Research output
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A review of artificial intelligence techniques for anomaly detection in smart grid
Al Amin Sarker, M., Jayaraj, I. A., Shanmugam, B., Azam, S. & Thennadil, S., Jan 2026, In: Artificial Intelligence Review. 59, 2, p. 1-56 56 p., 69.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)3 Downloads (Pure) -
Attention-driven deep object detection for improved gallbladder cancer diagnosis from ultrasound images
Haque, M. I., Islam, S., Chowa, S. S., Rony, M. A. H., Fatema, K., Hassan, M. M., Islam, M. R., Hasan, M. Z., Karim, A. & Azam, S., Apr 2026, In: Engineering Applications of Artificial Intelligence. 176, p. 1-16 16 p., 114757.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Clinical Profile Identification of Indigenous Infants With Bronchiolitis Through Using Unsupervised Feature Extraction and Clustering
Niu, H., McCallum, G. B., Chang, A. B., Khan, K. & Azam, S., Jan 2026, In: Pediatric Pulmonology. 61, 1, p. 1-11 11 p., e71449.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Exploring personalized federated learning from a distribution-based perspective
Yu, T., Yeo, K. C., Azam, S., Yu, X., Chen, H. & Zhu, X., Nov 2026, In: Pattern Recognition. 179, p. 1-10 10 p., 113774.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
From language to action: a review of large language models as autonomous agents and tool users
Chowa, S. S., Alvi, R., Rahman, S. S., Rahman, M. A., Raiaan, M. A. K., Islam, M. R., Hussain, M. & Azam, S., Jan 2026, In: Artificial Intelligence Review. 59, 2, p. 1-59 59 p., 71.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)2 Downloads (Pure) -
Hallucination to truth: a review of fact-checking and factuality evaluation in large language models
Rahman, S. S., Islam, M. A., Alam, M. M., Zeba, M., Rahman, M. A., Chowa, S. S., Raiaan, M. A. K. & Azam, S., Jan 2026, In: Artificial Intelligence Review. 59, 2, p. 1-54 54 p., 70.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)4 Downloads (Pure) -
HANS-Net: Hyperbolic Convolution and Adaptive Temporal Attention for Accurate and Generalizable Liver and Tumor Segmentation in CT Imaging
Abian, A. I., Debnath, R. K., Rahman, A. A., Raiaan, M. A. K., Islam, R. R., Karim, A., Mohamed, R. E. & Azam, S., 2026, (Accepted/In press) In: IEEE Transactions on Radiation and Plasma Medical Sciences. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Press/Media
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Charles Darwin University: Researchers Train AI to Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
25/01/25
1 item of Media coverage
Press/Media: Research
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Charles Darwin University Researcher Provides New Study Findings on Clinical Medicine (Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise)
Azam, S. & Ignatious, E.
21/07/23
1 item of Media coverage
Press/Media: Research
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KMN 2025: How to practice AI to diagnose lung illnesses with 96.57% accuracy
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
25/01/25
1 item of Media coverage
Press/Media: Research
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AI Trained to Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
24/01/25 → 10/02/25
2 items of Media coverage
Press/Media: Research
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Researchers Train AI To Diagnose Lung Diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
23/01/25
2 items of Media coverage
Press/Media: Research
Activities
- 2 Organising a conference, workshop, ...
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IEEE NT Subsection Post-Pandemic Student & Industry Engagement BBQ-Social Event
Etaywe, A. (Organiser), Alazab, M. (Member of programme committee) & Azam, S. (Organiser)
8 Aug 2024Activity: Participating in or organising an event › Organising a conference, workshop, ...
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Digital awareness workshop for rural indigenous community
Azam, S. (Organiser), Shanmugam, B. (Organiser) & Karim, A. (Organiser)
1 Oct 2019 → 28 Feb 2020Activity: Participating in or organising an event › Organising a conference, workshop, ...
Thesis
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Detection of binaural processing in the human brain
Azam, S. (Author), De Boer, F. (Supervisor) & Jonkman, M. (Supervisor), 2016Student thesis: Doctor of Philosophy (PhD) - CDU
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