Personal profile
Research interests
Dr. Asif Karim currently works at the Faculty of Science and Technology, Charles Darwin University. Asif does research in Machine Learning based Health Informatics and Blockchain Applications. He has considerable Industry Experience in the field of IT, primarily in Software Engineering. Complete Information about his Research Publications, Teaching and Grants are available at https://asifkarim.com/.
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 -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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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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Machine Learning Diagnostics System for Bronchiectasis
Azam, S. (Principal Investigator/Chief Investigator A), De Boer, F. (Co Investigator/Chief Investigator B), Jonkman, M. (Chief Investigator C) & Karim, A. (Principal Investigator/Chief Investigator A)
1/07/22 → 31/12/23
Project: Research
Research output
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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) -
Egret Swarm Optimization Algorithm-based Hybrid Deep Neural Network for Diagnosis of Skin Cancer
Naeem, M. A., Saleem, M. A., Sharif, A., Rehman, A., Sharif, M. I., Hassan, M. & Karim, A., Jan 2026, Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems. CRC Press, p. 53-74 22 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset
Shafiabady, N., Akume, D., Haghighat, M., Ud Din, F., Sattarshetty, K., Karim, A., Zhou, J. & Alsharaydeh, E., Feb 2026, In: BMJ health & care informatics. 33, 1, p. 1-9 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
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
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Transforming Global Healthcare: The Role of AI and IoT in Modern Medical Systems
Nag, A., Hassan, M., Sil, R. & Karim, A., Jan 2026, 1 ed. Boca Raton: CRC Press. 358 p.Research output: Book/Report › Book › peer-review
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Advances in brain imaging technologies: A comprehensive overview
Hasan, M., Yasmin, F., Yu, X. & Karim, A., 28 Apr 2025, Brain Networks in Neuroscience: Personalization Unveiled Via Artificial Intelligence. Hassan, M., Yasmin, F., Islam, S. M. S., Bairagi, A. K. & Aung, S. T. (eds.). River Publishers, p. 1-27 27 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
3 Link opens in a new tab Citations (Scopus)
Press/Media
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AI Achieves Near-Perfect Cancer Diagnosis Accuracy
14/03/25
1 item of Media coverage
Press/Media: Research
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AI model sets new benchmark in gynaecological cancer diagnosis
17/03/25
1 item of Media coverage
Press/Media: Research
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Artificial intelligence diagnosing lung diseases
Azam, S., Yeo, K. C., Karim, A. & Shafiabady, N.
29/01/25
1 item of Media coverage
Press/Media: Research
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New Cloud Computing Findings from Charles Darwin University Described (An Efficient Deadline Based Priority Job Scheduling In Mobile Cloud Computing)
29/04/25
1 item of Media coverage
Press/Media: Research
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An artificial intelligence diagnoses this cancer with a 99% precision, a key advance for female health
24/03/25
1 item of Media coverage
Press/Media: Research
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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
Activities
- 1 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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A Comprehensive Framework of Machine Learning Model for Clustering Ham and Spam Emails based on Unsupervised Learning
Karim, A. (Author), Krishnan, K. (Supervisor), Azam, S. (Supervisor) & Shanmugam, B. (Supervisor), Dec 2021Student thesis: Doctor of Philosophy (PhD) - CDU
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