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Research Area

Data Analytics

Data is everywhere in today’s world – from satellite imagery to social media posts to retail sales information to medical records. Data analytics examines large amounts of data to uncover patterns, discover correlations and generate insights. Adoption of data analytics technologies and techniques are transforming the way data is used, reshaping fields including medicine, retail, transportation, construction, and financial services. Data analytics is paving the way towards improved quality-of-life and increased operational efficiency. It is also the foundation for evidence-based decision making by individuals, firms, and governments.

Research Topics

  • Big Data Analytics: Big data analytics is the use of advanced analytics techniques on very large and diverse datasets that include structured and unstructured data with one or more of the following characteristics: high volume, high velocity, or high variety. Big data comes from sensors, devices, video, audio, the web, social media, and many other sources.
  • Business Intelligence: BI is a technology-driven process to analyze data from internal systems and external sources and present actionable information that helps corporate end-users make informed business decisions. A common way to present BI is through data visualizations – often accessed through data discovery tools and dashboards – that present data in ways that are accessible and user-friendly. Insights gleaned through BI can be used to make strategic business decisions that optimize business practices, identify market trends, increase profitability, enhance productivity, and accelerate growth.

Faculty


  • Dorothea Blostein
    Research Interests:
    • Biomechanics
    • adaptive tensegrity
  • Steven Ding
    Research Interests:
    • Data Mining
    • Machine Learning
    • Security
  • Randy Ellis
    Research Interests:
    • medical data analysis
  • Ahmed E. Hassan
    Research Interests:
    • software systems
    • software engineering
    • data analytics
  • David Skillicorn
    Research Interests:
    • adversarial knowledge discovery 
  • Yuan Tian
    Research Interests:
    • Software engineering
    • Applied machine learning
    • Recommender systems
    • Deep learning
    • Mining software repositories
  • Farhana Zulkernine
    Research Interests:
    • Big and Streaming Data Management and Analytics
    • Artificial Intelligence
    • Deep Learning and Decision Support Systems (DSS)
    • Cognitive Computing
    • Knowledge Management Systems
    • Cloud and Services Computing
All Research Faculty
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