Projects per year
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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A novel noise-resilient quantum-classical vision transformer with quantum state tomography for high-precision lung cancer classification
Mustofa, S., Emon, Y. R., Hasan, M. & Karim, A., Jun 2026, In: Computers and Electrical Engineering. 138, p. 1-19 19 p., 111287.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 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 AccessFile7 Downloads (Pure) -
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
Abian, A. I., Sutradhar, D., Rashid, M. R. U., Mohamed, R. E., Islam, M. R., Karim, A., Yeo, K. C. & Azam, S., Jun 2026, (E-pub ahead of print) In: IEEE Transactions on Big Data. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
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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 AccessFile7 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
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Integrating Harm-Based Severity Scoring into Crime Time-Series Forecasting
Oz, V., Mohamed, R. E., Far, A., Karim, A. & Azam, S., Apr 2026, 2026 IEEE 19th Pacific Visualization Conference (PacificVis). Sydney, Australia: IEEE Xplore, p. 397-405 9 p. (IEEE Pacific Visualization Symposium).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review
Press/Media
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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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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
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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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Charles Darwin University: I Diagnoses Major Cancer With Near Perfect Accuracy
14/03/25
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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AI Diagnoses Major Cancer With Near Perfect Accuracy
14/03/25
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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