Introduction
- Systems Biology
- Bio-Inspired Engineering
- Research Interests
Research Focuses
- Signal Transduction Pathways
- Biomolecular Regulatory Networks
- Complex Cellular Dynamics
- Brain Systems Biology
- Cancer Systems Biology
- Cardiac Systems Biology
- Network Systems Biology
- Pregnosis
- Bio-inspired Self-Repairing Electronic Circuits
- Brain-inspired Speech Recognition System
Funded Research Projects
Software
- SBIE Software
- Source Codes of Publications
Research Equipments
Useful Information for Systems Biological Research and Links
Research Equipments


WCU/BioBrain Windows Cluster
  • 13-node (104-cores) 64-bit Windows Cluster System
  • CPU: Intel Xeon x64 QC Dual Processor * 13 ea
  • RAM: 64GB * 13 ea = 832 GB
  • OS: Windows HPC Server 2008












SBIE Windows Cluster 2 [SBIE Win Cluster]
  • 7-node (56-cores) 64-bit Windows Cluster System
  • CPU: Intel Xeon x64 QC Dual Processor * 7 ea
  • RAM: 48GB + 72GB * 6 ea = 480 GB
  • OS: Windows HPC Server 2008










SBIE Windows Cluster [SBIE Cluster]
  • 4-node (32-cores) 64-bit Windows Cluster System
  • CPU: Intel Xeon x64 QC Dual Processor * 4 ea
  • RAM: 16GB * 4 ea = 64 GB
  • OS: Windows Server 2003










SBIE Linux Cluster [SBIE Cluster2]
  • 4-node (16-cores) Linux Cluster System
  • CPU: Intel DC Dual Processor * 4 ea
  • RAM: 4GB * 4 ea = 16 GB
  • OS: SUSE Linux










Tesla Cluster
  • 4-Tesla T10 Graphics Processing Units (GPUs)
  • 960-cores (240 processor cores for each GPU)
  • 16GB high speed memory (4GB for each GPU)
  • Host CPU: Intel Xeon x64 QC Dual Processor
  • Host RAM: 2G * 12ea = 24GB




Tesla Workstation (2 sets)
  • 4-Tesla C1060 Graphics Processing Units (GPUs)
  • 960-cores (240 processor cores for each GPU)
  • 16GB high speed memory (4GB for each GPU)
  • Host CPU: Intel Xeon x64 QC Dual Processor
  • Host RAM: 4G * 8ea = 32GB












Cell & Molecular Experiments Bench