RESEARCH
- Research Center
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Laboratory Information
- Bio-Medical Nanochemistry Lab
- Computational Medicine Lab
- Data Engineering Lab
- Distributed Computing Lab
- Energy Electrochemistry Lab
- Future Communications & Systems Lab
- Knowledge Service Consulting Lab
- Applied Laser Technology Lab
- Nano Systems Lab
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- Networking and intelligent Processing Lab
- Neural Engineering and Control Laboratory(NEC)
- Vibration & Measurement Lab
- Virtual Manufacturing & Intelligence, Optimization Lab
- Wireless & Emerging Network Systerm Lab
- Nano & Particle Technology Lab
- Thermal Fluid System Laboratory
- Sustainable Materials and Process Design Lab
- Thermal-Structural Analysis and Aero-Heating Test Lab
- Advanced Surface Devices Lab
- Research Articles
- Research Project
Research Area
Bio simulation(physiome) / Cardiac electrophysiology / Artificial Organs / Hemodynamics
- The heart moves blood to all the organs of the human body and supplies the necessary oxygen and nutrients to each organ and tissue. The heart is an organs with few physical organs in the body that exhibit the combined action of electrical / mechanical behavior that repeats the contraction and relaxation of the whole tissue by bioelectric generation and transmission.
- Recently, with the emergence of the Physiomics for several decades, computer simulations of heart have been actively carried out to identify causes and mechanisms of heart disease. Physiomics is a new integrated biology that collects and integrates knowledge gained from various levels of genes, proteins, cells, organs as an alternative to the underlying genome project, and grasps the functions of the human body macroscopically. Based on IT technology, Physiomics research mainly quantifies and stores vast quantities of biometric information based on IT technology, and then creates a model of protein-cell-tissue-organ from genetic level in computer using knowledge base of mathematics, engineering, It is the study which studies the life phenomenon of the human body from an integrated point of view.
- Virtual heart studies use advanced computing resources to identify the underlying mechanism of electrophysiologic / cardiomechanical disturbance of myocardial tissue in patients with arrhythmia or heart failure and to develop better methodologies for the treatment of these disorders. A convergence study that quantitatively computes quantitative data that is difficult to measure by an experimental method by mathematically formulating an inductively revealed principle through medical and biology experiments using engineering clusters , Which is a representative field of biomedical engineering.
- To perform this study, we must understand the electrophysiology and cardiac mechanics of the heart from a public viewpoint. The physiological phenomenon and principle of the heart revealed to date are based on the solid mechanics and fluid dynamics and the thermodynamic theory by the electric field theory and the Newtonian mechanical approach, and make a mathematical model. The constructed mathematical model is expressed in the form of differential equations, and the differential equations are quantified using various numerical methods. In other words, it is possible to experiment with various experiments that can not be practiced by conventional biological experiments such as in vivo or ex vivo experiments or in vitro experiments, It is the mission of this research to build up and solve important biophysical / physiological problems.
Join us
Prof. Ki Moo Lim
-Director of CML-
earned his PhD from Seoul University and worked as postdoctoral
researcher in John Hopkins University
+82-54-478-7780
Computational Medicine Laboratory (CML)
cordially invites bright applicants as a researcher and graduate student (Master's degree or Ph.D. degree). We are looking for students who are self-motivated, positive attitude, eager, and interested to gain research experience in biomedical simulation and modeling. Students who possess good understanding in c/c++ programming language and/or academic writing is a plus. We offer comfortable research environment with a deep knowledge and sophisticated research tools for all CML member. We cover full tuition fees and provide monthly salary for all CML member.
