AI-assisted data analysis for quantum and biological systems
Hybrid quantum device (NEMs, Graphene PN junction, Flying Qbit)
Working principles of AI (Dynamical properties of system parameter during training)
Non-equilibrium dynamics (Active particle, Quantum heat engine)
Biophysical modeling (Homeostasis for glucose, Cell migration, Hearing mechanism)
Please don't hesitate to get in touch with us at any time if you're interested in collaborating on research topics beyond those mentioned above. We welcome the opportunity to explore new avenues of collaboration and are excited to work together on innovative projects
Research Grants
Study on consilience between time series and A.I. (시계열 데이터와 인공지능의 상보적 통합연구, 2022-2025, NRF)
Study on analysis of particle tracking data and A.I. (인공지능을 활용한 경로추적 데이터 분석 기술 연구, 2020-2021, NRF)
Biomimetic controller development based on glucose homeostasis (혈당항상성의 생물물리학적 이해와 생체모사 컨트롤러 제작, 2017-2020, NRF)