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September (2026): Dr. Md Ariful Islam Mozumder joined as a research professor in the Department of Computer Engineering & the Institute of Digital Anti-Aging Healthcare, Inje University, Republic of Korea. He will work here on Healthcare AI.
August (2026): Paper accepted for presentation at the ODIN 2026 Workshop, held in conjunction with MICCAI 2026. Title: "Fluency Is Not Faithfulness: Diagnosing and Repairing Confabulation in LLM Report Generation on ToothFairy4 CBCT "
August (2026) Publication: - A privacy-preserving federated learning approach with multilevel differential privacy for lung cancer detection
July (2026) Conference Travel: Mr. Ariful presented his research in person at IEEE ICECET, Rome, Italy. Also, he visited the University of Vienna during the same trip.
July (2026): One conference paper received the Best Paper Award, where Mr. Ariful contributed as a co-author in the 18th International Conference on Future Information & Communication Engineering, 7th–10th July, Sapporo, Japan. The paper title is "Exploring Griffin Architecture for Oral Squamous Cell Carcinoma Classification: A Spatially Aware Patch Serialization Approach to Histopathological Image Analysis."
June (2026): Mr. Arif. Honored as a Key Speaker at the 2026 DREAM Global Convergence Research Symposium. Talked about "how advanced AI technologies are transforming healthcare" through continuous innovation and seamless integration into clinical practice.
May (2026) Doctoral Final Dissertation: Mr. Arif presented a doctoral final dissertation titled “Towards Robust Pathological Analysis of Cancer: Multi-Class Subtyping and Survival Prediction from Whole Slide Images,” focusing on advancing computational pathology using foundation models, weakly supervised learning, and multiple-instance learning. The research develops AI-driven frameworks for cancer subtyping, prognosis, and survival prediction from whole-slide pathological images, aiming to support more accurate and clinically meaningful cancer analysis.
April (2026): Article in preprint "StrokeID-NER: A Stroke Named Entity Recognition Dataset for Indonesian Patient-Generated Health Queries "(https://www.researchsquare.com/article/rs-10163348/v1).
March (2026): Article accepted in Wiley's "Healthcare Technology Letters," and the title is "APB‐FLDPA: Adaptive Personalized Blockchain‐Federated Learning With Differential Privacy and Attention for Privacy‐Preserving Healthcare Analytics."
February (2026): IEEE ICACT 2026 conference paper presented during the conference, 9th ~ 12th February. The paper title is "APB‐FLDPA: Adaptive Personalized Blockchain‐Federated Learning With Differential Privacy and Attention for Privacy‐Preserving Healthcare Analytics."
January (2026): Article in preprint as co-author "Confidence-Aware Fuzzy–PCA Feature Learning with PSO-Optimized Spiking Neural Networks for Edge Irrigation Systems." (https://doi.org/10.2139/ssrn.7113408)
December (2025): The IEEE Sensors article published "Empowering Home Security Through Wall-Crossing Activity Detection Using Vision Cameras and Convolutional Long Short-Term Memory Architecture." https://doi.org/10.1109/JSEN.2025.3596321
February (2025): Mr Ariful received the Best Researcher Award for 2023-2024 from his PhD laboratory, among all international MS & PhD research assistants. Awarded by the PhD SCLab Director & Supervisor, Professor Hee Cheol Kim.
January (2025): Mr. Ariful received a certificate of appreciation as a guest lecturer from the Department of Computer Engineering, Middle East University, Jordan. He delivered lectures virtually in this department.
July (2024): Mr. Ariful presented his research on "Multi Instance Learning for Pathology Image" in person at IEEE ICECET, Sydney Australia.
June (2023): Mr. Ariful presented his research "Metaverse in Healhcare" in person at IEEE IMETA, Osaka, Japan.
February (2022): Mr. Ariful presented his research in person at MITA, Jeju, Republic of Korea.
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