RAbu Al Shahriar Rifat

Experience

Working at the edge of two disciplines.

Mar 2026 — Present

Hohai University

Nanjing, China

Graduate Research Assistant

Supervisor: Prof. Xu Peng · Jiangning Campus

Road Damage Detection & Segmentation · Intelligent Transportation Systems

  • Developed deep learning models with TensorFlow and Keras for road damage detection and segmentation, implementing UNet and Mask R-CNN to classify cracks, potholes, and rutting.
  • Managed end-to-end data pipelines including image annotation, preprocessing, and augmentation to ensure high-quality training datasets.
  • Built ML models for traffic behavior analysis and implemented vehicle detection algorithms with OpenCV.
  • Authored research papers, presented findings, collaborated across disciplines, and supervised undergraduate researchers.

Jan 2026 — Present

ResearchBuddy AI

Dhaka, Bangladesh

Research Assistant

Sleep medicine · Biomedical signal processing

Sleep Apnea Detection from Physiological Signals

  • Developed deep learning models with TensorFlow and Keras for sleep apnea detection from ECG, EEG and respiratory data.
  • Preprocessed large-scale biomedical datasets — signal filtering, normalization and feature extraction — to improve accuracy and reliability.
  • Applied explainable AI techniques (Grad-CAM, SHAP) to interpret predictions and ensure clinical relevance.
  • Collaborated with healthcare researchers to validate models and contributed to publications and presentations.