Projects per year
Personal profile
Biography
Dr Kh Tohidul Islam is currently working as an Imaging Scientist Research Fellow at Monash Biomedical Imaging, Monash University, Clayton, Australia. He received his B.S. degree in Electrical and Electronic Engineering in 2013 from Prime University, Bangladesh, an MBA in 2015 from Lincoln University College, Malaysia, followed by a Master of Computer Science (A.I.) in 2017 from the University of Malaya, Malaysia, and his PhD in MDHS (computer vision, A.I., and image processing) in 2022 from the University of Melbourne, Australia. Before joining Monash University, he worked as a Research Assistant at the University of Malaya and subsequently as an Academic Support at the University of Melbourne. Then he served as a Research Assistant at Edith Cowan University, Australia and was followed by another Research Assistant position at the University of Melbourne.
His research interests include medical image processing (classification, registration, and segmentation), machine learning and deep learning, and AI. Recently he has focused on ultra-low-field (64mT) MRI analysis, reconstruction, and their clinical utilities using deep learning for his current position at Monash University.
Research interests
Artificial Intelligence, Computer Vision, Medical Image Processing, Machine Learning, Deep Learning, Low-Field MRI
Education/Academic qualification
Computer Vision, Doctor of Philosophy, Deep Learning for Three-Dimensional Multi-Modal Medical Image Processing: From Classification to Segmentation, University of Melbourne
16 Apr 2018 → 27 Oct 2022
Award Date: 7 Dec 2022
Artificial Intelligence, Master of Computer Science (Research), Real-Time Vision-Based Malaysian Road Sign Recognition Using an Artificial Neural Network, Universiti Malaya (University of Malaya)
7 Sept 2015 → 24 Aug 2017
Award Date: 24 Aug 2017
Business Administration, Master of Business Administration (MBA), Employees Job Satisfaction in Malaysia Retail Company, Lincoln University College, Malaysia
23 Dec 2013 → 16 Oct 2015
Award Date: 16 Oct 2015
Electrical & Electronic Engineering, Bachelor of Science, Design and Implementation of Microcontroller Based Automated Water Level Sensing and Control Device, Prime University
1 Jun 2009 → 29 Jul 2013
Award Date: 29 Jul 2013
External positions
Research Assistant (RA), Edith Cowan University
1 Nov 2021 → 31 Dec 2021
Research Assistant (RA), University of Melbourne
1 Oct 2021 → 28 Jul 2022
Ph.D. Researcher, University of Melbourne
16 Apr 2018 → 15 Jun 2022
Research Assistant (RA), Universiti Malaya (University of Malaya)
7 Sept 2015 → 23 Oct 2017
Research area keywords
- Medical Image Analysis, Artificial Intelligence applications in healthcare, Biomedical Data Processing, Neurological/NeuroDevelopmental Diseases, Computational Neuroscience
- Deep Learning
- Artificial Intelligence and Image Processing
- Computer Vision and Image Processing
- Machine Learning
- MRI
- Pattern Recognition
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 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
Collaborations and top research areas from the last five years
Projects
- 3 Active
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Screening for multiple sclerosis in high-risk populations
Foong, Y. C. (Primary Chief Investigator (PCI)), Van Der Walt, A. (Chief Investigator (CI)), Islam, K. T. (Chief Investigator (CI)) & Chen, Z. (Chief Investigator (CI))
23/02/26 → 22/02/27
Project: Research
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MICCAI: MICCAI Society Awards for the Advancement of Health Equity
Chen, Z. (Primary Chief Investigator (PCI)), Islam, K. T. (Chief Investigator (CI)), Law, M. (Chief Investigator (CI)), Caeyensberghs, K. (Chief Investigator (CI)) & Cai, J. (Chief Investigator (CI))
17/12/25 → 16/12/26
Project: Research
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ASPIRE: ASPIRE – A new scalable and sustainable platform to improve survivorship care for assault victims living with severe physical and psychological deficits
Caeyensberghs, K. (Primary Chief Investigator (PCI)), Domínguez, J. (Chief Investigator (CI)), Berk, M. (Chief Investigator (CI)), Satyen, L. (Chief Investigator (CI)), Chen, Z. (Chief Investigator (CI)), Law, M. (Chief Investigator (CI)), Fitzgerald, M. (Chief Investigator (CI)), Hellewell, S. C. (Chief Investigator (CI)), Parizel, P. M. (Chief Investigator (CI)), Mychasiuk, R. (Chief Investigator (CI)), McMahon, K. (Chief Investigator (CI)), Akhlaghi, H. (Chief Investigator (CI)), Stella, J. B. (Chief Investigator (CI)), Gates, P. (Chief Investigator (CI)), Lee, J. (Chief Investigator (CI)), Burmester, A. (Associate Investigator (AI)), Rushworth, N. (Associate Investigator (AI)), Dwyer, A. M. (Associate Investigator (AI)), Brotchie, P. (Associate Investigator (AI)), Smyth, T. (Associate Investigator (AI)), Lannin, N. (Associate Investigator (AI)), Orellana, L. (Associate Investigator (AI)), Islam, K. T. (Associate Investigator (AI)), Schubach, R. (Associate Investigator (AI)), Hollow, T. (Associate Investigator (AI)), Hinton, D. (Associate Investigator (AI)) & Farquharson, S. (Associate Investigator (AI))
1/10/25 → 30/09/28
Project: Research
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A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: past, present, and future
Joshi, N., Guarnera, J., Islam, K. T., Chen, Z., Zakavi, P., Akhlaghi, H., Lee, J., Caeyenberghs, K. & Domínguez D, J. F., Mar 2026, In: Neuroimage: Reports. 6, 1, 20 p., 100324.Research output: Contribution to journal › Review Article › Research › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus) -
Cyclic self-supervised diffusion for ultra low-field to high-field MRI synthesis
Zhang, Z., Jing, P., Wang, Z., Briski, U., Beitone, C., Yang, Y., Wu, Y., Wang, F., Yang, L., Huang, J., Gao, Z., Chen, Z., Islam, K. T., Yang, G. & Lally, P. J., 2026, (Accepted/In press) In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Article › Research › peer-review
2 Link opens in a new tab Citations (Scopus) -
D2Diff: A Dual-Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
Dayarathna, S., Peiris, H., Islam, K. T., Wong, T. T. & Chen, Z., 2026, Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 - 28th International Conference Daejeon, South Korea, September 23–27, 2025 Proceedings, Part II. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Cham Switzerland : Springer, p. 131-141 11 p. (Lecture Notes in Computer Science; vol. 15961).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
2 Link opens in a new tab Citations (Scopus) -
Enhancing Ultra-Low-Field MRI with Paired High-Field MRI Comparisons for Brain Imaging: First International Challenge, ULF-EnC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
Chen, Z., Hewa Munasinghe, S., Islam, K. T., Peiris, H., Zakavi, P. & Zhong, S., 2026, 1 ed. Cham Switzerland: Springer. 195 p.Research output: Book/Report › Edited Book › peer-review
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Motion-informed deep learning for human brain magnetic resonance image reconstruction framework
Chen, Z., Pawar, K., Islam, K. ., Peiris, H., Egan, G. & Chen, Z., Jan 2026, In: NMR in Biomedicine. 39, 1, 12 p., e70209.Research output: Contribution to journal › Article › Research › peer-review
2 Link opens in a new tab Citations (Scopus)
Prizes
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Graduation on Time (GoT)
Islam, K. T. (Recipient), 23 Oct 2017
Prize: Prize (including medals and awards)
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International Graduate Research Assistant Scheme (iGRAS)
Islam, K. T. (Recipient), 7 Sept 2015
Prize: Prize (including medals and awards)
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Melbourne Research Scholarship (MRS)
Islam, K. T. (Recipient), 16 Apr 2018
Prize: Prize (including medals and awards)
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Research Training Program (RTP) Scholarship
Islam, K. T. (Recipient), 27 Jul 2020
Prize: Prize (including medals and awards)