Portfolio
This page highlights selected academic, research, and applied AI projects. My work mainly focuses on Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and practical technology solutions.
Research Projects
Malaria Cell Detection using Curriculum Learning and Faster R-CNN
Designed and implemented a deep learning pipeline using Faster R-CNN with Detectron2 and curriculum learning strategies to detect malaria-infected cells in microscope images. The project achieved notable improvement in detection performance, especially on low-cost microscope images.
Large-Scale Analysis of Citation Bias
Developed a predictive model assessing citation likelihood based on demographic data. This project explored patterns in academic citations and reflects my interest in data analysis and research-oriented machine learning.
Efficient Liver Disease Prediction
Built machine learning classifiers for liver disease prediction based on patient biomarker data. This project reflects my interest in healthcare-related AI and predictive modeling.
Predicting Safety Risks from Street View Photos
Applied image processing techniques to predict safety and crime-related risks using street view images. This project combines computer vision with real-world urban analysis.
