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!
- Mary Ann Cummings
Software engineering, modeling and simulation, emergent behavior, system of systems.
- Dan DeFrance
Computer technologies in the arts (e.g. 3D modeling and animation), vector and motion graphics, image processing, and digital storytelling.
- 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, algorithms.
- 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.
- Veronika Strnadova-Neeley
Data mining, large-scale data analysis, graph algorithms, scientific computing.
- Mike Wittie
Networks, distributed systems, blockchains/DAGs, human computer interaction.
- Sean Yaw
Algorithms, graph theory, networks, resource management, optimization.
- Binhai Zhu
Applied computational geometry, intelligent web searching, geographical information systems, spatial databases, design and analysis of algorithms, combinatorial optimization.
These entities are listed because of their strong affiliation with our department, but our research is interdiscplinary and often involves other research entities in the college.
- The Applied Algorithms Laboratory
- The Computational Topology and Geometry Group
- The Numerical Intelligent Systems Laboratory
- The Software Engineering Laboratory and Software Factory
- The Networks Laboratory
- It is our intention to support all qualified doctoral students with either RA or TA positions (subject to availability of funding).
- Available to undergraduates at MSU and other schools.
- Students gain hands-on research experience working with a faculty adviser.
- Provides residence hall lodging, reimbursement for travel to/from Bozeman, and $5,000 stipend.
- Runs June through August.
- Application deadline is generally in February.
Doing research is a great way to learn about a topic and gain valuable experience that can aid in applying to graduate programs or future employment.
Undergraduates interested in gaining research experience should contact faculty members directly based on their area of interest.
If you are a prospective graduate student, we invite you to learn more about our graduate programs!