プロフィール詳細

プロジェクトを作成

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Muhammad Y.に依頼

South Korea

PhD Researcher | Artificial Intelligence in Healthcare | Medical Machine Learning Specialist

プロフィール概要

I am a PhD researcher specializing in Artificial Intelligence and Large Language Models (LLMs) in Healthcare, with a Master’s degree focused on medical AI applications. My work lies at the intersection of machine learning, clinical data, medical imaging, and natural language processing, enabling data-driven and clinically meaningful insights. I have experience developing and validating research-grade AI models, including deep learning and LLM-based approaches, using medical imaging data, electronic health records (EHRs), and unstructured clinical text. My focus is on methodological rigor, interpretability, bias assessment, and ethical AI, which are critical for healthcare deployment. I collaborate with academic researchers, healthcare startups, and industry teams on projects involving predictive modeling, medical image analysis, clinical NLP, LLM-based information extraction, and explainable AI. I support projects from problem formulation and study design through model development, evaluation, and scientific reporting, ensuring robust, reproducible, and clinically relevant outcomes.

専門分野

• ☆ Data Analysis
• ☆ Image Processing
• ☆ Data Processing
• ☆ Machine Learning
• ☆ Natural Language Processing
• ☆ Artificial Intelligence
• ☆ Deep Learning

サービス

• Research
• Data & AI

Research Meta-Research, Scientific and Technical Research, Systematic Literature Review

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML

職務経験

Research Assistant

Inje University

3月 2022 - 現在

学歴

MS in Artifcial Intelligence in Healthcare (Department of Digital Anti-Aging Healthcare)

Inje University

3月 2022 - 2月 2024

BSc Electrical Engineering (Dept. Electrical Engineering)

Hamdard University

9月 2013 - 2月 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Muhammad Yaseen, Ibad Ullah Azam, Shehla, Hee-Cheol Kim (2025). Personalized Biomarker Prediction in Breast Cancer Brain Metastases via Ensemble Learning Integrating Radiomics-Clinical Integration . Journal of information and communication convergence engineering.

Muhammad Yaseen, Shah Md Aftab Uddin, Md Kamran Hussain Chowdhury, Rubina Akter Rabeya, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim (2025). DeepFocusNet: An Attention-Augmented Deep Neural Framework for Robust Colorectal Cancer Classification in Whole-Slide Histology Images . Electronics.

Muhammad Yaseen, Shah Md Aftab Uddin, Md Kamran Hussain Chowdhury, Rubina Akter Rabeya, Shah Muhammad Imtiyaj Uddin, Hee-Cheol Kim (2025). DeepFocusNet: An Attention-Augmented Deep Neural Framework for Robust Colorectal Cancer Classification in Whole-Slide Histology Images . Electronics.

Muhammad Yaseen, Maisam Ali, Sikandar Ali, Hee-Cheol Kim (2025). Deep Learning-Based Approach for Microscopic Algae Classification with Grad-CAM Interpretability . Electronics.

Muhammad Yaseen, Maisam Ali, Sikandar Ali, Hee-Cheol Kim (2025). Deep Learning-Based Approach for Microscopic Algae Classification with Grad-CAM Interpretability . Electronics.

Muhammad Yaseen, Maisam Ali, Sikandar Ali, Ali Hussain, Moon-Il Joo, Hee-Cheol Kim (2024). Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology . IEEE Access.

Muhammad Yaseen, Maisam Ali, Sikandar Ali, Ali Hussain, Moon-Il Joo, Hee-Cheol Kim (2024). Cervical Spine Fracture Detection and Classification Using Two-Stage Deep Learning Methodology . IEEE Access.

Muhammad Yaseen, Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Moon-Il Joo, Hee-Cheol Kim (2023). Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security . Sensors.

Muhammad Yaseen, Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Moon-Il Joo, Hee-Cheol Kim (2023). Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security . Sensors.

CONFERENCE PAPER

Muhammad Yaseen, Sikandar Ali, Samman Fatima, Ali Hussain, Maisam Ali, Tagne Poupi Theodore Armand, Hee-Cheol Kim (2024). Classifying Gastric Cancer Carcinoma Stages with Deep Semantic Features and GLCM Texture Features . 2024 26th International Conference on Advanced Communications Technology (ICACT).

Muhammad Yaseen, Maisam Ali, Sikander Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim (2024). Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO . 2024 26th International Conference on Advanced Communications Technology (ICACT).

Muhammad Yaseen, Maisam Ali, Sikandar Ali, Hee-Cheol Kim (2024). Machine Learning Based Techniques for the Prediction of Axillary Lymph Node Metastases in Early Breast Cancer . 2024 26th International Conference on Advanced Communications Technology (ICACT).