The group currently identified the following areas based on the importance and timeliness of the research issues behind as well as the expertise of the members of the research group.

• Computational Epidemiology
  To develop computational techniques and tools for collecting, mining and visualizing source data as well as disease transmission/diffusion networks in order to timely detect, monitor and control emerging disease spread or epidemic outbreaks.

  Current project: Infectious Disease Surveillance, Epidemiological Modeling, and Control Strategies
  

• Mobile Health
  To develop middleware and system prototypes which can support mobile health ranging from data capturing, signal processing, to activity recognition.

  Current project: A Prototyping Environment for Ubiquitous Healthcare Systems
  

• Evidence-based Medicine and Clinical Decision Support System
  To develop text mining and AI reasoning methods and related prototypes for incorporating evidence-based medicine support into clinical decision support systems.

  Current project: Clinical decision support system and clinical data analysis

• Medical Data Forensics
  To develop computational techniques and tools for analyzing and assessing the validity of health and medical related data and/or the associated subjects.

  Current Project: Detecting the Counterfeits of Chinese Herbs in Mobile Platform
  

• Healthcare Process Optimization
  To develop computational methodologies for modeling and mining healthcare process related data for process optimization. Related issues include bottleneck detection, patient wait time shortening, etc.

  Current Project: Process mining for patient journey shortening

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