Overview

Our faculty have varied research interests and expertise. Consequently, our research projects often involve multidisciplinary teams of Ph.D. students, Master's students, undergraduate students and/or faculty.  To learn more about faculty research interests and our research laboratories, please read on!


Research Interests

  • Brittany Fasy
    Computational geometry and topology, topological data analysis, road network analysis, algorithms.
  • Clem Izurieta
    Software engineering, software evolution, ecological modeling.
  • Indika Kahanda
    Bioinformatics and computational biology, machine learning, data mining, biomedical natural language processing.
  • Upulee Kanewala
    Software testing, software engineering, machine learning, scientific software development and testing.
  • Hunter Lloyd
    Robotics, computer vision, multimedia and animation.
  • Dave Millman
    Computational geometry, scientific computing, parallel computing.
  • Brendan Mumey
    Computational biology, networks, combinatorial optimization.
  • John Paxton
    Artificial intelligence, machine learning, computer science education.
  • John Sheppard
    Machine learning, data mining, evolutionary computation, Bayesian methods, fault diagnosis and prognosis, domain ontologies.
  • Mike Wittie
    Communication networks, distributed systems, optimization, human computer interaction.
  • Qing Yang
    Wireless networks, mobile computing, vehicular networks, network security and privacy.
  • Binhai Zhu
    Applied computational geometry, intelligent web searching, geographical information systems, spatial databases, design and analysis of algorithms, combinatorial optimization.

Research Laboratories