SK Rakib Ul Islam Rahat
PhD Student in Computer Science · Wright State University
skrakibulislamrahat@gmail.com · Dayton, Ohio, USA
Research focus
Trustworthy AI at the intersection of medical imaging, reliability under dataset shift, calibration, semantic transport, knowledge engineering, and knowledge-guided/neurosymbolic reasoning.
Doctoral advisor: Dr. Cogan Shimizu.
Education
MBA, Management Information Systems
MSc, Global Business and Administration
B.Tech, Computer Science and Engineering
Research & professional experience
PhD Student / Researcher
Doctoral research connecting trustworthy medical AI, reliable evaluation, knowledge engineering, and semantic representations.
Independent Medical AI Researcher
Developed medical-imaging studies on dataset shift, calibration, shortcut learning, and reproducible external evaluation.
AI & Data Intern
Supported analytics and automation using Python and SQL, exploratory analysis, and reproducible data workflows.
Teaching Assistant
Mentored students on preprocessing, evaluation, and reproducible ML workflows; contributed to co-authored research.
Junior Software Engineer
Contributed to software engineering, smart-system integration, and applied technical development.
Methods & tools
Programming: Python, SQL, Java
Machine learning: PyTorch, TensorFlow, scikit-learn, CNNs, multimodal learning
Evaluation: External validation, calibration, dataset shift, Grad-CAM, SHAP
Research tools: Jupyter, Google Colab, GitHub, LaTeX, Overleaf
Current doctoral interests: Knowledge engineering, semantic representations, knowledge graphs, neurosymbolic AI
SK Rakib Ul Islam Rahat Published research
Journal Articles
- TriGWONet: A lightweight multibranch convolutional neural network using gray wolf optimization for accurate oral cancer image classification
Discover Artificial Intelligence (Springer Nature) · 2026
https://doi.org/10.1007/s44163-025-00776-x - Multimodal Deep Learning for Classifying Diabetic Retinopathy Severity
Journal of Korea Multimedia Society · 2026
https://doi.org/10.9717/kmms.2026.29.3.524 - Advancing diabetic retinopathy detection with AI and deep learning: Opportunities, limitations, and clinical barriers
British Journal of Nursing Studies · 2025
https://doi.org/10.32996/bjns.2025.5.2.1 - Artificial intelligence for chronic kidney disease risk stratification in the USA: Ensemble vs. deep learning methods
British Journal of Nursing Studies · 2025
https://doi.org/10.32996/bjns.2025.5.2.3 - A Deep Learning Framework for Early Breast Cancer Detection Among US Women: Integrating Mammography and Clinical EHR Data
British Journal of Nursing Studies · 2025
https://doi.org/10.32996/bjns.2025.5.2.6 - Machine Learning-Based Hospital Readmission Prediction and Risk Analysis in the United States Healthcare System
Journal of Computer Science and Technology Studies (JCSTS) · 2024
https://doi.org/10.32996/jcsts.2024.6.5.32 - Deep Learning-Based Skin Cancer Diagnosis in the United States: Advances, Challenges, and Clinical Translation
Journal of Medical and Health Studies · 2023
https://doi.org/10.32996/jmhs.2023.4.6.18 - A Transfer Learning-Based Deep Convolutional Neural Network Framework for Automated Multi-Class Eye Disease Classification in the USA Using Retinal Fundus Image
Journal of Medical and Health Studies · 2023
https://doi.org/10.32996/jmhs.2023.4.4.24
Conference Papers
- Performance Evaluation of Hybrid Machine Learning Models for Heart Disease Prediction in U.S. Clinical Decision Support Systems
IEEE International Conference on Sentiment Analysis and Deep Learning (ICSADL) · 2026
https://doi.org/10.1109/ICSADL67539.2026.11452047 - An ANN Network-Based Approach for Early Detection of Parkinson's Disease Through Image Processing
IEEE Conference on Converging Technology · 2025
https://doi.org/10.1109/ICCTEIE66144.2025.11341843 - PneuNet: A Multi-Scale Attention-Enhanced CNN for Pediatric Pneumonia Detection from Chest X-rays
IEEE DELCON · 2025
https://doi.org/10.1109/DELCON68055.2025.11400229 - Deep Learning-Based Multi-Class Brain Tumor Classification from MRI using a Novel MS-DSCCNet Architecture
IEEE DELCON · 2025
https://doi.org/10.1109/DELCON68055.2025.11400450
SK Rakib Ul Islam Rahat Research & academic service
Accepted for publication
- Multi-Stream Contextual and Frequency-Aware Deep Learning with Evidential Uncertainty for Alzheimer’s MRI Slice Classification
Discover Artificial Intelligence (Springer Nature) · Accepted September 17, 2026
Manuscripts
- Reduced background sensitivity does not ensure external discrimination in fundus classifiers
Biomedical Signal Processing and Control · Submitted · 2026
Submitted September 2026. - Calibration Under Domain Shift in Diabetic Retinopathy Screening: Temperature Scaling Transfer and Target-Side Calibration with Limited Labels
Computerized Medical Imaging and Graphics · Under Review · 2026
Manuscript under review. - Evaluation of lightweight AI models for early diabetic retinopathy detection in resource-constrained screening settings
In review · Under Review · 2026
Manuscript under review.
Selected research projects
Background sensitivity and external discrimination in fundus classifiers
Twelve models. Two architectures. One fixed APTOS split. A study separating background sensitivity from external discrimination on a processed Messidor-2 archive.
Semantic transport across chest X-ray benchmarks
Five-seed DenseNet-121 experiments across Kaggle, RSNA, and CheXpert examine label transport, calibration, and high-confidence errors.
Calibration-aware diabetic-retinopathy reliability
Traceable experiments on calibration transfer from APTOS to Messidor-2, preserving split definitions, predictions, metrics, and audit artifacts.
Lightweight diabetic-retinopathy screening models
Five-fold comparison of EfficientNet-B0, MobileNetV2, and SqueezeNet using out-of-fold predictions and paired statistical tests.
Peer review & service
10 completed reviews · 5 journals
- IAES International Journal of Robotics and Automation (IJRA)
- International Journal of Electrical and Computer Engineering (IJECE)
- International Journal of Power Electronics and Drive Systems (IJPEDS)
- Computer Methods in Biomechanics and Biomedical Engineering
- Information Fusion
Selected certifications
- IBM Data Science
- Google Cloud AI Healthcare
- Illinois Tech AI Healthcare
- Elsevier Researcher Academy — Certified Peer Reviewer Course