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Data-Driven Disease Surveillance

Data-Driven Disease Surveillance

29 faculty research Data-Driven Disease Surveillance on GradNova.

D
Privacy and Deception in the Modeling, Control, and Optimization of Stochastic Systems
LGBTQ Health, Identity, and Policy
COVID-19 Epidemiological Studies
Privacy-Preserving Technologies in Data
+2
A
Alexander Rodríguez

Assistant Professor, EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computational Epidemiology
Machine Learning
Multi-Agent Systems
Public Health
+5
L
Census and Population Estimation
Data Mining Algorithms and Applications
Data Quality and Management
Data-Driven Disease Surveillance
+1
S
COVID-19 Epidemiological Studies
COVID-19 Pandemic Impacts
Data-Driven Disease Surveillance
Influenza Virus Research Studies
+1
E
AI for Healthcare
Applied AI
Groupware Systems
Mobile and Cloud Computing
+5
M
Mauricio Santillana

Professor, jointly appointed in Physics & Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Northeastern University

Design and Implementation of Disease Outbreaks Prediction Platforms and Mathematical Solutions to Healthcare
Modeling Fluid Flow to Inform Coastal Floods Simulations and Atmospheric Global Pollution Transport Models
Modeling of Geographic Patterns of Population Growth
COVID-19 Epidemiological Studies
+4
R
Rumi Chunara

Associate Professor of Computer Science and Engineering and Biostatistics

Computer Science

New York University

Biostatistics
Health
Machine Learning
Data-Driven Disease Surveillance
+4
M
Data Visualization and Analytics
Data-Driven Disease Surveillance
Misinformation and Its Impacts
Scientific Computing and Data Management
+1
S
Advanced Text Analysis Techniques
Data-Driven Disease Surveillance
Innovative Teaching and Learning Methods
Natural Language Processing Techniques
+1
N
Naren Ramakrishnan

University Distinguished Professor

Computer Science

Virginia Tech

Complex Network Analysis Techniques
Data Mining Algorithms and Applications
Data Visualization and Analytics
Data-Driven Disease Surveillance
+1
P
Visual Computing (visualization)
Data Visualization and Analytics
Explainable Artificial Intelligence (xai)
Ethics and Social Impacts of AI
+2
D
David Ebert

Chief AI and Data Science Officer Associate Vice President of Research and Partnerships Computer Science Engineering Endowed Innovation Chair Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

3D Shape Modeling and Analysis
Advanced Vision and Imaging
Computer Graphics and Visualization Techniques
Data Visualization and Analytics
+1
D
Artificial Intelligence and Machine Learning
Multi-Agent and Knowledge-Based Systems.
Robotics
Biosensors and Analytical Detection
+4
J
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
A
Alberto Maria Segre, PhD

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

Computer Science

University of Iowa

Computational Epidemiology
AI-Based Problem Solving and Planning
Machine Learning and Algorithms
COVID-19 Epidemiological Studies
+2
S
Artificial Intelligence (ai)
COVID-19 Epidemiological Studies
Data-Driven Disease Surveillance
Human Mobility and Location-Based Analysis
+2
O
Computer Science Education
Human-Computer Interaction
Visualization
Teaching and Learning Programming
+4
F
Feng Chen

Fellow, Eugene McDermott Distinguished Professor Professor

Computer Science

The University of Texas at Dallas

Advanced Image and Video Retrieval Techniques
AI in Cancer Detection
Data Management and Algorithms
Data Mining Algorithms and Applications
+6
X
Xinyue Ye

Professor, Landscape Architecture & Urban Planning

Computer Science

Texas A&M University

Traffic Control and Management
Traffic Prediction and Management Techniques
Transportation Planning and Optimization
Human Mobility and Location-Based Analysis
+4
O
Data Management and Algorithms
Data-Driven Disease Surveillance
Geographic Information Systems Studies
Land Use and Ecosystem Services
+1
M
Mark Dredze

Director of the Data Science and AI Institute and John C. Malone Professor

Computer Science

Johns Hopkins University

AI for Healthcare
Machine Learning
Natural Language Processing
Topic Modeling
+4
B
B. Aditya Prakash

Professor, Associate Chair for Academic Affairs

College of Computing

Georgia Institute of Technology

Complex Network Analysis Techniques
COVID-19 Epidemiological Studies
Data-Driven Disease Surveillance
Opinion Dynamics and Social Influence
+1
C
Data-Driven Disease Surveillance
Geographic Information Systems Studies
Human Mobility and Location-Based Analysis
Urban Transport and Accessibility
+1
J
Distributed Systems
Dynamic Computation
Knowledge Representation and Reasoning
Privacy
+5
2
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