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University of Texas at Arlington

University of Texas at Arlington

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University of Texas at Arlington has 104 faculty across 1 departments on GradNova. 20 researchers have received 29 NSF grants totaling $15.3M.

Departments

Computer Science

Faculty

R
Data Mining
Machine Learning
Neural Networks, and Deep Learning
P
Continuous Optimization
M
Higher-Order Tensor Decomposition
Intelligent Data Management
Lage-Scale Neural Model Optimization
Spatial/multimodal Intelligence Systems
+5
M
Advanced Neural Network Applications
COVID-19 Diagnosis Using AI
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
+1
B
Mobile Health
Smart IoT
Wireless Sensing
Indoor and Outdoor Localization Technologies
+4
B
Bob Weems

Associate Professor and Director of the UG Computer Science Program

Computer Science

The University of Texas at Arlington

Answer Set Programming
Preference Matching
Advanced Database Systems and Queries
Cryptography and Data Security
+3
Z
Advanced Data Storage Technologies
Natural Language Processing Techniques
Online and Blended Learning
Online Learning and Analytics
+1
J
Bioinformatics and Health Informatics
Data Mining
Machine Learning
Neural Networks and Deep Learning
C
Artificial Intelligence Applications
Education
Entrepreneurship
Health Support Systems
+4
R
C
Digital Fabrication
Human-Computer Interaction
New Media
Physical Computing
+3
C
Carter Tiernan

Professor of Instruction, Assistant Dean for Student Affairs, and Director of Outreach

Computer Science

The University of Texas at Arlington

Computational Thinking
Engineering Education
Advanced Neural Network Applications
Robotics and Sensor-Based Localization
+3
A
Fault Localization
Live Programming
Mutation Testing
Program Synthesis and Repair
+6
A
Cardiac Imaging and Diagnostics
Clinical Reasoning and Diagnostic Skills
Emergency and Acute Care Studies
Innovations in Medical Education
+1
F
H
Machine Learning on Graphs
Topic Modeling
AI-Based Problem Solving and Planning
Advanced Graph Neural Networks
X
Distributed Quantum Computing
Edge AI
Mobile Computing
Vehicular Networks
+5
A
Graph Mining
Information Fusion
Multi-Feature Data Analysis
Multilayer Networks
+6
D
Computer Vision
Data Mining
Image and Video Processing
Machine Learning
+5
T
Cloud Computing and Resource Management
Distributed and Parallel Computing Systems
Energy Efficient Wireless Sensor Networks
IoT and Edge/fog Computing
+1
F
AI Accelerator Design
Emerging Computing Systems
Sustainable Computing
M
Multicore Architecture
Operating Systems
Parallel and Distributed Computing
System Support for Machine Learning
+7
J
Operating Systems
Parallel
Virtualization
Cloud Computing and Resource Management
+4
D
3D Reconstruction
Geometric Computer Vision
Graph Neural Networks
Physics-Informed Machine Learning
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