The MIP Lab is seeking passionate and motivated students (M.S./Ph.D. students and undergraduate interns) to join our research team. If you are interested in developing and advancing multimodal AI for robotics, medicine, and autonomous systems, please feel free to contact me at shyoon@dgist.ac.kr. When emailing, please include a brief description of your research interests, your CV, and your transcript.

Medical AI / AI for Science
- Empowering clinical decision-making through AI-based medical image analysis and diagnosis for comprehensive patient care.
Foundation Model
- We study how to adapt and fine-tune foundation models for domain-specific tasks, with a focus on efficient and robust transfer to areas such as medicine and robotics.
Physical AI
- Advancing the frontier of Embodied AI by integrating multimodal perception with real-world robotic control to automate complex physical tasks.
Generative AI
- Advancing the theoretical understanding and empirical performance of generative AI models, including diffusion models, autoregressive models, and other emerging generative paradigms.
High-level Scene Understanding
- Developing high-level scene understanding models such as semantic segmentation, object detection, and scene reconstruction for autonomous systems, robotics, and other applications.

Advisor Professor : Yoon, Sung-Hoon
Multimodal Intelligence and Perception Laboratory Homepage