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Computer Science

Computer Science

University of Texas at Austin

Computer Science at University of Texas at Austin has 74 faculty on GradNova.

Faculty

M
A
Machine Learning
Reinforcement Learning in Robotics
Domain Adaptation and Few-Shot Learning
Adversarial Robustness in Machine Learning
B
Bioinformatics and Computational Biology
Cosmology and Gravitation Theories
Relativity and Gravitational Theory
Astronomy and Astrophysical Research
+2
A
Distributed Systems and Fault Tolerance
Interconnection Networks and Systems
Optimization and Search Problems
Parallel Computing and Optimization Techniques
+1
M
Formal Methods
Scientific Computing
D
Theoretical Computer Science
Complexity and Algorithms in Graphs
Advanced Graph Theory Research
Cryptography and Data Security
+2
R
Raymond Mooney

Professor, Professorship In Computer Sciences #3

Computer Science

The University of Texas at Austin

Bioinformatics and Computational Biology
Machine Learning
Natural Language Processing
Topic Modeling
+4
J
Jayadev Misra

Schlumberger Centennial Chair Emeritus and University Distinguished Teaching Professor Emeritus

Computer Science

The University of Texas at Austin

Formal Methods
D
Bioinformatics and Computational Biology
Advanced Database Systems and Queries
Semantic Web and Ontologies
Data Management and Algorithms
+2
R
Bioinformatics and Computational Biology
Machine Learning
Evolutionary Algorithms and Applications
Reinforcement Learning in Robotics
+3
K
Ken McMillan

Professor, Admiral B.R. Inman Centennial Chair in Computing Theory

Computer Science

The University of Texas at Austin

Formal Methods
Programming Languages and Compilers
Formal Methods in Verification
Logic, Programming, and Type Systems
+3
B
Human-Computer Interaction
Intelligent Robotics
Machine Learning
D
Computer Architecture
Systems and Networking
High-Energy Particle Collisions Research
Particle Physics Theoretical and Experimental Studies
+3
P
Computer Architecture
Q
Computer Vision
Graphics and Visualization
Machine Learning
3D Shape Modeling and Analysis
+4
A
Security and Privacy
Advanced Malware Detection Techniques
Internet Traffic Analysis and Secure E-Voting
User Authentication and Security Systems
+2
J
Human-Computer Interaction
Intelligent Robotics
Machine Learning
A
M
Gender and Technology in Education
Innovative Teaching and Learning Methods
Online and Blended Learning
Online Learning and Analytics
+1
G
Programming Languages and Compilers
D
Bioinformatics and Computational Biology
Machine Learning
Crystallization and Solubility Studies
X-Ray Diffraction in Crystallography
+3
A
Alan Cline

David Bruton, Jr. Centennial Professor Emeritus in Computer Sciences #2, Distinguished Teaching Professor Emeritus

Computer Science

The University of Texas at Austin

S
Formal Methods
Machine Learning
Programming Languages and Compilers
Formal Methods in Verification
+4
J
Intelligent Robotics
Machine Learning
Robotics and Sensor-Based Localization
Robotic Path Planning Algorithms
+3
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