Mission And Vision

Due to significant advancements in computer hardware/software technology and automated data collection systems, there are tremendous opportunities for interdisciplinary research in combining quantitative modeling (e.g., statistics, data mining, machine learning, simulation, and operations research) with technology-driven engineering and domain knowledge to make significant social and economic impacts (through applications in manufacturing, bio- and nano- materials, energy and environment, health science, banking and finance). Given the complexity and huge amount of data streams in modern science and engineering systems, efficient and effective quantitative modeling techniques and implementation strategies are urgently needed for quality engineering, process monitoring and surveillance, data and knowledge mining, planning and decision making, and system performance optimization.

The objective and niche of CSIE is to create the best "collaborative" environment that allows researchers to develop the most updated state-of-the-art modeling methodologies and tools within the recent technology breakthrough application domain areas in:

  • Health Informatics
  • Prognostics and Systems Health Management
  • Quality Inspection and Safety Systems
  • Energy and Environmental Informatics

Currently, modeling researchers and domain area researchers often conduct research independently. It is common for domain area researchers to adopt only ordinary and standard modeling tools in their experimental design, data analysis, and system optimization, which may limit the significance of their research findings. Even though they may sometimes collaborate with modeling researchers, the collaboration is often at a primitive level and modeling researchers do not get chance to fully understand the domain problems and develop new state-of-the-art modeling methodology and strategy. The modeling team members in the research centre either have been conducting the state-of-the-art modeling research or are well connected with the well recognized experts in the modeling research field. The domain area expert team members are well known in the fields of public health, energy and environment, and bio- and nano- science. Supported by internal and external funding from the Centre, modeling researchers and domain area researchers will work closely to produce new state-of-the-art modeling strategy and methodology as well as scientific and engineering breakthrough findings and results, which will be published in top-notch methodology journals as well as science and engineering journals and proceedings such as Science, Nature, and PNAS.

Focused Application Areas

  • Health Informatics
    • Modeling, Simulation, and Surveillance of Infectious Diseases
    • Healthcare Operation Optimization and Control
    • Integrated Decision Support Systems for Health Protection
  • Prognostics and Systems Health Management (PHM)
    • PHM for electronics rich systems
    • PHM for infrastructures and transportation systems
  • Quality Inspection and Safety Systems
    • Safety Data Acquisition, Mining and Analysis
    • Design of Smart Sensor Systems for Quality Inspection
  • Energy and Environmental Informatics
    • Climate and Environmental Data Mining, Modeling, and Forecasting
    • Energy System and Efficiency Optimization

Synergy and Team Work

  • Interdisciplinary and multidisciplinary research.
  • Integration of domain/engineering knowledge, advanced data collection technology, and sophisticated data mining and quantitative modeling.
  • Modern and efficient research collaboration among junior and senior researchers from various research centers and institutions.
 

Methodology

  • Quality & Reliability Engineering
  • Data Mining, Machine Learning, and Artificial Intelligence
  • Statistical Modeling and Simulation
  • Optimization and Operations Research
  • Multivariate Statistical Process Control and Dynamic Monitoring
  • Computer Experiment Modeling and Design