Greetings! I'm Kyuhwan Shim 🤗

Master's Student @ Graduate School of AI, Seoul Nat'l University

My research is focusing on the intersection of visual grounding and leveraging multimodal models for real-world reasoning as an agent. My long-term goal is to develop robot-learning paradigms to address real-world problems by enhancing visual reasoning and grounding objects with language understanding. I participated in Team TIDYBOY-DSPL, where we achieved Finalist (3rd place) in the Robocup@Home DSPL League.

I'm pursuing my MS Degree at Biointelligence Lab in Seoul Nat'l University, advised by Prof. Byoung-Tak Zhang. I received my Bachelor's Degree from Sogang University in Computer Science. Previously, I worked as a Machine Learning Engineer Intern at Nota Inc., where I developed YOLO-based detection models at the ITS Team. I also co-founded and worked as a Senior Designer at OCONNECT Student Venture, based at UNIST.

My research field encompasses computer vision and deep learning systems, spanning the intersection of computer science and mathematics. I’m interested in data science which can solve problems in reality logically, particularly focusing on data analytics and statistical method. Recently, I have an interest on semantic segmentation and domain adaptation field and aggressively participating in various contests.

I strive to achieve the goal of enhancing human lifestyles through my own reasoning. I enjoy extracting insights from diverse datasets, utilizing cutting-edge models to solve real-world problems. With a passion for Deep learning & Data, I have a strong foundation in engineering and scientific disciplines. Continuously improving my skills, I'm particularly interested in applying language models and state-of-the-art techniques to contribute to collaborative problem-solving.