Research Areas

Below, you will find the research areas and contact information of our professors. If you are interested in doing research, please contact the professor directly.

Chris Archibald archibald@cs.byu.edu	Strategic Reasoning Group	Exploring how to reason and make decisions in the presence of multiple-agents, including teammates or adversaries. Evaluating performance of agents in these situations.
Mark Clement clement@cs.byu.edu	Bioinformatics and Family History	Phylogenetic Analysis applied to diagnosing Alzheimer’s disease from DNA samples, and developing Relative Finder and Descendancy Explorer.
Jacob Crandall crandall@cs.byu.edu	AI, Machine Learning, Multi-Agent Systems	Developing machines and algorithms that learn from and collaborate with people to solve challenging problems.
Casey Deccio casey@cs.byu.edu	Network Measurement and Anti-Abuse of Internet	Directs the Internet Measurement and Anti-Abuse Laboratory at BYU. Focuses on aspects of the Domain Name System.
Parris Egbert egbert@cs.byu.edu	3D Graphics	Real-time 3D Computer Graphics, Object-oriented Graphics, Vector field tools for CS and the Creation and Navigation of Virtual Environments.
Ryan Farrell farrell@cs.byu.edu	Fine-Grained Visual Categorization	Training computers to find the highly-localized and often subtle characteristics that allow precise identification at the level of fine-grained categories.
Nancy Fulda nfulda@cs.byu.edu	DRAGN Lab	DRAGN Lab focuses on neural architectures for Conversational AI, in addition to machine learning, neural language models, and natural language understanding.
Kimball Germane kimball@cs.byu.edu	Special Weapons	Designing more powerful ways to mechanically analyze higher-order programs for correctness and performance. Also designing domain-specific languages which offer programmers domain-specific guarantees about their programs.
Michael Goodrich mike@cs.byu.edu	Robotic Swarms and GUIs	Simulated robotic swarms to assess steering effectiveness and energy expenditure, and GUIs for selecting trade-offs in multi-objective optimization problems.
Michael Jones jones@cs.byu.edu	Emerging Technologies and User Experience	Interactive computing in hiking and prototyping with 3D printers, circuits and software.
Tony Martinez martinez@cs.byu.edu	Machine Learning	Improved learning mechanisms for deep neural networks, document recognition and classification, and automatic composition of music.
Eric Mercer egm@cs.byu.edu	Test and Verification	Test and verification in software engineering by pursuing automatic techniques for program verification for concurrent and sequential systems.
Bryan Morse morse@cs.byu.edu	Computer Vision	Computer vision with cross-overs into image processing, computer graphics, robotics, machine learning and high-performance computing.
Dennis Ng ng@cs.byu.edu	Advanced Information Retrieval Applications	Recommending items for children using the collaborative-filtering approaches and developing interactive game systems designated for children/adults with autism.
Kent Seamons seamons@cs.byu.edu	Internet Security Research	Designs and evaluates security tools including; secure email, secure chat, two-factor authentication, key management, certificate revocation and TLS security.
Kevin Seppi kseppi@cs.byu.edu	Applied Machine Learning	Semi-supervised machine learning that allows users to give feedback as the machine picks topics for documents, to interact and gain information from large quantities of text.
Jonathan Sillito sillito@cs.byu.edu	Engineering Intelligent Systems	Focuses on engineering and supporting distributed, high-throughput, low latency systems.
Quinn Snell snell@cs.byu.edu	Computational Science	Investigates algorithms for solving problems in computational biology, chemistry and physics. Finding efficient algorithms that can be run on parallel computers.
Dan Ventura ventura@cs.byu.edu	MIND Lab	His main areas of interest include neural networks, machine learning, artificial intelligence, evolutionary computation and computational creativity.
Sean Warnick sean@cs.byu.edu	IDeA Labs	Focuses on fundamental relationships between information, uncertainty and complexity. Key issues include approximation, learning, control, verification and optimization.
David Wingate wingated@cs.byu.edu	Perception, Control, and Cognition Lab	Their goal is to build agents that perform at human levels in complex tasks; improved depth estimation for augmented reality and high-level linguistic planning.
Daniel Zappala zappala@cs.byu.edu	Security and Usability	Measuring the prevalence of proxies that intercept TLS connections, and developing operating system services for authenticating and securing internet connections.