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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 GroupExploring 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 HistoryPhylogenetic 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 SystemsDeveloping 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 InternetDirects the Internet Measurement and Anti-Abuse Laboratory at BYU. Focuses on aspects of the Domain Name System.

Parris Egbert

egbert@cs.byu.edu

3D GraphicsReal-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 CategorizationTraining 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 WeaponsDesigning 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 GUIsSimulated 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 ExperienceInteractive computing in hiking and prototyping with 3D printers, circuits and software.

Tony Martinez

martinez@cs.byu.edu

Machine LearningImproved learning mechanisms for deep neural networks, document recognition and classification, and automatic composition of music.

Eric Mercer

egm@cs.byu.edu

Test and VerificationTest and verification in software engineering by pursuing automatic techniques for program verification for concurrent and sequential systems.

Bryan Morse

morse@cs.byu.edu

Computer VisionComputer 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 ApplicationsRecommending 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 ResearchDesigns 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 LearningSemi-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 SystemsFocuses on engineering and supporting distributed, high-throughput, low latency systems.

Quinn Snell

snell@cs.byu.edu

Computational ScienceInvestigates 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 LabHis main areas of interest include neural networks, machine learning, artificial intelligence, evolutionary computation and computational creativity.

Sean Warnick

sean@cs.byu.edu

IDeA LabsFocuses 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 LabTheir 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 UsabilityMeasuring the prevalence of proxies that intercept TLS connections, and developing operating system services for authenticating and securing internet connections.