Faculty Research

Each faculty member has a specific area of expertise that inspires their work, and are often eager to share these interests with student research assistants.

Sean Barker

  • Smart buildings
    • data analytics
  • Sustainability
    • greening homes and IT equipment
  • Distributed systems
  • Cloud computing
    • resource management in big data systems

David Byrd

  • Machine Learning in Financial Markets
  • Privacy-Preserving Federated Learning
  • Securely learning from distributed training data
  • Simulation of Complex Systems
  • Geographically-distributed mobile devices
  • Electronic financial markets
  • Responsible Machine Learning (e.g. learning not to spoof a financial market)

Cibele Freire

  • Resilience problem in databases
  • Inconsistent databases
  • Computational complexity, with special interest for dichotomy results

Sarah Harmon

  • Computational Creativity
  • Human-Computer Interaction
  • Narrative Intelligence

Mohammad Irfan

  • Interdisciplinary areas that combine artificial intelligence with:
    • sociology (e.g, influence in social networks)
    • economics (e.g., microfinance markets)
    • arts (e.g., authentication of Jackson Pollock's paintings)
  • Computational geometry and graph drawing

Stephen Majercik

  • Nature-inspired computation
    • Swarm intelligence
    • Particle swarm optimization
  • Computation and the arts
    • uses of artificial intelligence techniques in the arts
    • using technology as an expressive medium
  • Stochastic satisfiability
    • efficient solution techniques

Laura Toma

  • Efficient algorithms and data structures for large data (cache-efficient, resource-efficient, parallel)
  • Algorithms for spatial data
  • Algorithm engineering