Experienced Ph.D. candidate specializing in computer vision and machine learning with a strong focus on object detection, segmentation, and tracking in dynamic environments. Skilled in designing and implementing deep learning models, including transformer-based architectures and semi-supervised methods, to address challenges in video analysis. Proficient in frameworks like PyTorch and TensorFlow, with expertise in developing scalable solutions for real-world applications. Published in reputable journals and conferences, contributing innovative approaches to visual object tracking and segmentation. Eager to apply advanced technical knowledge and research experience to solve complex problems in AI-driven industries.
Machine Learning
Deep Learning
Computer Vision
Visual Object Tracking
Segmentation
Detection
Phd in Electronic and Information Engineering, (2021-2025)
Kunsan National University, Gunsan, South Korea.
BEng in Electronics and Communication Engineering, (2016-2020) SRM Valliammai Engineering College, Tamilnadu, India.