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COVID-19 Epidemiological Studies

COVID-19 Epidemiological Studies

15 faculty research COVID-19 Epidemiological Studies on GradNova.

J
Jay Aikat

Vice Dean, School of Data Science and Society, Research Professor

Computer Science

University of North Carolina at Chapel Hill

Data Mining
Experimental Methods and Models in Networking Research and Education
Internet Traffic Generation, Wireless Networks, Congestion Control and Active Queue Management
Measurement and Modeling of Internet Traffic, Protocol Benchmarking
+5
O
Olivier Tremblay-Savard

Associate Professor, Associate Head Undergraduate (Acting)

Computer Science

University of Manitoba

COVID-19 Epidemiological Studies
Digital Games and Media
Genomics and Phylogenetic Studies
Plant and Animal Studies
+1
A
Alberto Segre

Chair, Department of Computer Science Gerard P. Weeg Faculty Scholar in Informatics Professor

Computer Science

University of Iowa

Distributed Algorithms for Solving Optimization Problems
AI-Based Problem Solving and Planning
COVID-19 Epidemiological Studies
Machine Learning and Algorithms
+2
D
Complex Network Analysis Techniques
COVID-19 Epidemiological Studies
Gender Diversity and Inequality
SARS-Cov-2 and COVID-19 Research
+1
N
Bacteriophages and Microbial Interactions
COVID-19 Epidemiological Studies
Genomics and Phylogenetic Studies
HIV Research and Treatment
+1
S
Artificial Intelligence (ai)
COVID-19 Epidemiological Studies
Data-Driven Disease Surveillance
Topic Modeling
+2
O
Computer Science Education
Human-Computer Interaction
Visualization
Data-Driven Disease Surveillance
+4
P
Paula deWitte

Professor of Practice Emerita, Computer Science & Engineering

Computer Science

Texas A&M University

COVID-19 Epidemiological Studies
Cybersecurity and Cyber Warfare Studies
Information and Cyber Security
Maritime Navigation and Safety
+1
M
Advanced Numerical Methods in Computational Mathematics
COVID-19 Epidemiological Studies
Mathematical and Theoretical Epidemiology and Ecology Models
Model Reduction and Neural Networks
+1
B
B. Aditya Prakash

Professor, Associate Chair for Academic Affairs

College of Computing

Georgia Institute of Technology

Anomaly Detection Techniques and Applications
Complex Network Analysis Techniques
COVID-19 Epidemiological Studies
Data-Driven Disease Surveillance
+1
A
Animal Virus Infections Studies
COVID-19 Clinical Research Studies
COVID-19 Epidemiological Studies
SARS-Cov-2 and COVID-19 Research
+1
J
COVID-19 Epidemiological Studies
Data Management and Algorithms
Data-Driven Disease Surveillance
Financial Markets and Investment Strategies
+1
S
Algorithmic Fairness
Game Theory
Machine Learning
Seismic Imaging and Inversion Techniques
+4
R
COVID-19 Epidemiological Studies
Data-Driven Disease Surveillance
Natural Language Processing Techniques
Speech Recognition and Synthesis
+1
H
COVID-19 Epidemiological Studies