Research

The Ning lab is conducting research on Data Mining, Machine Learning and Big Data Analytics with applications in drug discovery, Medical Informatics and Health Informatics. The research in the Lab is highly data-driven, computation-oriented and primarily focused on methodology development. The Lab develops new and better methods/algorithms/models to solve emerging and critical problems in healthcare and medicine domains. The new methodologies being developed in the Lab are also sufficiently generalizable to be applied to the problems from other domains (e.g., e-Commerce, social networks, system monitoring and diagnosis) that share similar characteristics as the targeted problems in healthcare and medicine domains. The typical techniques that the Lab develops include information retrieval, learning to rank, recommendation, classification, among others, and are applied to problems such as drug property prediction, compound prioritization, drug selection, pharmacovigilance data mining, electronic medical record analysis, etc.

Active Projects:

Some Completed Projects:

  •  Enhancing Online CS Courses through Data Mining for Personalized Intervention
    • This project was supported by IUPUI.
    • Dr. Ning served as a co-PI.
  •  Recommendation Meets Search
    • This project was supported by the IUPUI “Developing Diverse Researchers with InVestigative Expertise (DRIVE)” program.
    • Dr. Ning served as the PI (sole PI).
  •  Computational Methods for Drug Discovery
    • This project was supported by IUPUI.
    • Dr. Ning served as the PI (sole PI).