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Virginia Tech

Virginia Tech

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Virginia Tech has 283 faculty across 4 departments on GradNova. 105 researchers hold 141 active NSF grants and 7 active NIH grants totaling $113.5M.

Departments

Computer Science
Bradley Department of Electrical and Computer Engineering
Department of Mechanical Engineering
Department of Chemical Engineering

Faculty

M
Experimental Learning in Engineering
Gender and Technology in Education
Online and Blended Learning
Online Learning and Analytics
+1
S
Innovative Teaching and Learning Methods
Online Learning and Analytics
Software Engineering Research
Software Testing and Debugging Techniques
+1
B
Bob Edmison

Collegiate Associate Professor

Computer Science

Virginia Tech

Online and Blended Learning
Online Learning and Analytics
Software Engineering Research
Software Testing and Debugging Techniques
+1
D
Dan Dunlap

Visiting Associate Professor

Computer Science

Virginia Tech

Innovative Teaching and Learning Methods
Online and Blended Learning
Software Engineering Research
Topic Modeling
+1
S
J
J
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Network Security and Intrusion Detection
+1
Y
Innovative Teaching and Learning Methods
Innovative Teaching Methodologies in Social Sciences
Intelligent Tutoring Systems and Adaptive Learning
Y
S
A
Data Stream Mining Techniques
Evolutionary Algorithms and Applications
Machine Learning and Data Classification
Metaheuristic Optimization Algorithms Research
+1
K
Advanced Data Storage Technologies
Cloud Computing and Resource Management
Distributed and Parallel Computing Systems
Interconnection Networks and Systems
+1
A
Advanced Data Storage Technologies
Caching and Content Delivery
Cloud Computing and Resource Management
Distributed and Parallel Computing Systems
+1
C
Interactive and Immersive Displays
Software Engineering Research
Software Engineering Techniques and Practices
Teaching and Learning Programming
+1
D
D
Bioinformatics and Genomic Networks
Enzyme Structure and Function
Machine Learning in Bioinformatics
Protein Structure and Dynamics
+1
O
G
Advanced Data Storage Technologies
Distributed Systems and Fault Tolerance
Parallel Computing and Optimization Techniques
Real-Time Systems Scheduling
+1
S
Advanced Malware Detection Techniques
Adversarial Robustness in Machine Learning
Anomaly Detection Techniques and Applications
Digital Media Forensic Detection
+1
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