Industrial engineering, computer vision, 3D pose estimation, forecasting, and applied machine learning.
resume / academic summary
Resume / CV
Download my current resume and read about the thesis work that has shaped my research direction in industrial AI, computer vision, and explainable machine learning.
Expected PhD graduation: February 25, 2027
Master's completed in 2022; expected PhD graduation in February 2027.
Deployable methods, interpretability, and research grounded in real use cases.
Master's Thesis (2022)
Image Analysis based on AI Application for Manufacturing Automation
Master's Thesis Summary
A machine learning system for abalone detection and counting on conveyor belts using YOLOv3 with Deep SORT. The system addresses video challenges such as overlap and occlusion, improving accuracy over traditional OpenCV-based methods. It also integrates Grad-CAM with convolutional networks such as ResNet50 for classifying normal and abnormal images, improving interpretability and decision transparency.