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!
- Brittany Terese 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.
- Binhai Zhu
Applied computational geometry, intelligent web searching, geographical information systems, spatial databases, design and analysis of algorithms, combinatorial optimization.
- The Applied Algorithms Laboratory is co-directed by Brendan Mumey and Binhai Zhu
- The Computational Ecology Group is co-directed by Clem Izurieta and Geoff Poole
- The Numerical Intelligent Systems Laboratory is directed by John Sheppard
- The Software Engineering Laboratory and Software Factory is co-directed by Clem Izurieta and Upulee Kanewala
- The Networks Laboratory is directed by Mike Wittie