Abdullah

abdullah [at] my [dot] jcu [dot] edu [dot] au

I am a Ph.D. candidate at the James Cook University (JCU), working with Dr. Euijoon Ahn. Before joining JCU, I earned my Master's degree at INJE University under the supervision of Prof. Hee-Cheol Kim . During my Master's, I had the chance to intern or collaborate with various industry and academic labs, including JLK , and Hatio , where I had the privilege of working with many outstanding mentors.

Currently, I am working on Generative Model and Self Supervise Learning...

My research goal is to

Publications by topics

▪︎ Representation learning:

▪︎ Medical Image Translation:

▪︎ Generative models:

▪︎ Other topics:

Publications

C: conference, W: workshop, J: journal, P: preprint / * equal contribution

[C] A weakly supervised learning approach based on multiple-instance learning and self-supervised contrastive learning for gastric cancer classification using whole slide images.

Mr Abdullah*, Sikandar Ali *, Armand Poupi, Hee-Cheol Kim

paper / poster

[J] Computer Vision Based Deep Learning Approach for the Detection and Classification of Algae Species Using Microscopic Images

Mr Abdullah*, Sikandar Ali , Zia ullah, Hussain Ali, Athar Ali, Hee-Cheol Kim

paper / poster

[J]. Detection of COVID-19 in X-Ray Images using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model". Journal of Biomedical and Health Informatics

Sikandar Ali, Ali Hussain, Subrata. B, Athar Ali, Mr Abdullah, and Hee-Cheol Kim.

[C] Multiclass-Classification of Algae using Dc-GAN and Transfer Learning. In 2022 2nd International Conference on Image Processing and Robotics (ICIPRob) (pp. 1-6). IEEE.

Mr.Abdullah, Khan, Z., Mumtaz, W., Mumtaz, A.S., Bhattacharjee, S. and Kim, H.C., 2022, March.

[J]. Activity Detection for the Wellbeing of Dogs Using Wearable Sensors Based on Deep Learning. IEEE Access, 10, pp.53153-53163.

Hussain, A., Ali, S. Abdullah, and Kim, H.C., 2022.

[C]. Hybrid Based Model Face Shape Classification Using Ensemble Method for Hairstyle Recommender System. In Proceedings of 2nd International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2021) (p. 61). Springer Nature.

Mr. Abdullah, A.H.,

[C]. Classification of Algae Plant Using Deep Learning. In INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING (Vol. 13, No. 1, pp. 8-12).

Mr. Abdullah, Sikandar, A., Hussain, A., Athar, A., Mohsin, M. and Kim, H.C., 2022, January.

Work Experience

Deep Generative Diffusion model to generate medical Images

I am working on a Diffusion generative model to synthesize medical imaging to perform classification, segmentation, and diagnosis using Self-Supervised Learning .

Company project | Self-Supervised Learning Base Medical Imaging, JLK Seoul South Korea.

Designed and developed a Self-Supervised learning-based algorithm for Stomach Cancer and Liver Cancer Detection using Whole Slide Images (WSI). We work in a big team including around 90 researchers, on different cancer types.

Generative Adversarial Network (GAN)

Work on GAN to generate more number of face images from few face images to balanced imbalance image dataset. I also understand the dependent parameters and working of GAN model.

Deep Learning Based Acute Ischemic Stoke Lesion Segmentation on MRI Images

DICOM Format MRI image and corresponding mask is used to segment out Ischemic stoke using Deep Learning based UNET segmentation technique.

Education

▪︎ James Cook University, Ph.D. in Information Technology ( Medical Imaging) (advisor: Dr. Euijoon Ahn) / QLD, Cairns , Australia / Going

▪︎ Inje University, aster's in Artificial intelligence in Healthcare (Computer engineering) ( Advisor - Prof. Hee-Cheol Kim / Gimhae, South Korea / Febuary 2023

▪︎ COMSATS University , B.S in Electrical and Computer Engineering, Abbottabad Pakistan/ Jan 2018

Honors & Awards

Scholarship For Master Degree

2021 to 2023 | BK21 Research Scholarship

Inje University South Korea (busan, KR)

Scholarship For Ph.D. Degree

2023 to 2027 | HDR Scholarship

James Cook University Australia (QLD Cairns, AUS)

Research Grants

2023 | Received Conference Grants 1200A$

James Cook University Australia (QLD Cairns, AUS)

Teaching

MA5832: Data Mining and Machine Learning (Level 5; ON, 2023L)
MA5831: SASS and Data Management (Level 5; Face-To-Face, 2024)
MA5851: Data Science Master Class-II ( Face-To-Face, 2024)
MA5840 Data Science and Decision Making (Face-To-Face, 2024 )

Services

JCU Community Garden Volunteer

I have volunteered for the James Cook Community Garden since March 2024.

Serving as a Topic Editor in Frontiers:

Advances in Artificial Intelligence Transforming the Medical and Healthcare Sectors

Certification

PresentationCertificate_ Ali (1).pdf

European Society of Pathology Presentation Certificate .

Certificate of Completion.docx

James Cook University Respectful Relationship certificate.

GRS_Abdulla_Certificate_IMPACT10X_Cohort 26.pdf

Certification IMPACT10x Cohort 26 JCU.

Certification Of Appreciation From Smart Computing Lab (SCL) Inje University South Korea.

Abdullah (1).pdf

Certification of Presentation International Conference on Ultrasound and Radiology (ICUR-24).

Mentoring

I am honored to mentor four collaborative projects between XUT and JCU honor students for their final year projects:

Huayu Xie: Developing a model for brain tumor segmentation utilizing a UNET architecture enhanced with an attention mechanism.
Zixuan Hou: Implementing a deep neural network based on multi-head attention for the detection of cervical spine fractures from CT scans.
Linshen Han: Creating a text-to-image generative model for dermoscopy images.
Haodong Zhang: Automating the 3D segmentation of kidneys and tumors.

Prototype Projects

Company project in South Korea | Computer vision Based Real Time Sasang Constitution Types Classification and Deploy on webserver using Flask.