Michael Mislove | Professor*
Ph.D., 1969, University of Tennessee
Topological Algebra, Domain Theory, Ordered Structures, Category Theory, Non-well-founded Set Theory, the Semantics of High-Level Programming Languages, Concurrency Theory, Process Algebra and Probabilistic Models.
Carola Wenk | Professor*
Ph.D., 2002, Freie Universität Berlin
Algorithms and computational geometry, with a focus on shape matching algorithms and interdisciplinary applications ranging from computational biology to intelligent transportation systems.
Ramgopal Mettu | Associate Professor*
Ph.D., 2002, University of Texas, Austin
Focused on the design and analysis of algorithms with guarantees on running time and solution quality that are necessary for the principled study of experimental and biological phenomena.
Jihun Hamm | Associate Professor*
Ph.D., 2008, University of Pennsylvania
Machine Learning: adversarial machine learning, deep learning, privacy and security, optimization, nonlinear dimensionality reduction.
Aron Culotta | Associate Professor*
Ph.D., 2008, University of Massachusetts at Amherst
Social network analysis, natural language processing, data science, machine learning.
Brian Summa | Assistant Professor*
Ph.D., 2013, University of Utah
Large data processing, scientific visualization, computer graphics, scalable algorithms, large data file formats, stream processing, progressive processing, interactive techniques, digital photography, scientific data, image processing, computational topology for data analysis, high performance computing, energy minimization, and energy approximations.
Zizhan Zheng | Assistant Professor*
Ph.D., 2010, Ohio State University
Networking, cloud computing, cybersecurity, machine learning, optimization, game theory, mechanism design.
Nicholas Mattei | Assistant Professor*
Ph.D., 2012, University of Kentucky
Artificial Intelligence, Data Science, Decision Making, Preferences
Anastasia Kurdia | Professor of Practice
Ph.D., 2010, University of Texas, Dallas
Computer science education with concentration on effective teaching and active learning, novel pedagogies, learning at scale, teaching with technology, recruitment and retention, increasing diversity in technical fields. Scientific interests include algorithms and optimization with applications in computational geometry, graphics and visualization; parallel computing; scientific, mobile, and biomedical software.
Aaron Maus | Professor of Practice
Ph.D., 2019, University of New Orleans
Protein Structure Comparison and Analysis Techniques, Protein Energy Functions and Minimization Protocols
* Identifies members of graduate faculty