As an undergraduate researcher, I'm building foundational expertise in machine learning and its applications. My current focus lies in computer vision, particularly exploring novel approaches to image quality assessment without reference images.
My broader interests span automation, computational methods, and the integration of machine learning with physics and hardware systems.
Developing methods for assessing image quality without reference images, exploring deep learning approaches for perceptual quality metrics. Investigating how models can learn quality features from diverse datasets and generalize across different image distortions and domains.
Recognized for autonomous drone system demonstrating innovative applications of computer vision and control systems in delivery scenarios.