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Mobile Crowdsensing and Crowdsourcing

Mobile Crowdsensing and Crowdsourcing

93 faculty research Mobile Crowdsensing and Crowdsourcing on GradNova.

J
Jamie Tucker-Foltz

Secondary Faculty, Assistant Professor

Computer Science

Yale University

Bayesian Modeling and Causal Inference
Complex Network Analysis Techniques
Game Theory and Voting Systems
Internet Traffic Analysis and Secure E-Voting
+1
J
James Bagrow

Secondary Appointments: Associate Professor, Department of Mathematics & Statistics

Computer Science

University of Vermont

Complex Systems
Computational Social Science
Data Science and Machine Learning
Mathematical Modeling
+6
N
Computational Economics
Fair Algorithmic Decision-Making
Game Theory & Social Choice
Incentives in Multi-Agent Systems Including Blockchain and Machine Learning Environments
+8
P
Cloud Computing and Resource Management
Integrated Circuits and Semiconductor Failure Analysis
Mobile Crowdsensing and Crowdsourcing
Physical Unclonable Functions (pufs) and Hardware Security
+1
S
Machine Learning
Constraint Satisfaction and Optimization
Explainable Artificial Intelligence (xai)
Reinforcement Learning in Robotics
+2
Y
Theoretical Computer Science
Game Theory and Voting Systems
Auction Theory and Applications
Game Theory and Applications
+2
R
Context-Aware Activity Recognition Systems
IoT and Edge/fog Computing
Mobile Crowdsensing and Crowdsourcing
Privacy-Preserving Technologies in Data
+1
Y
Digital Accessibility for Disabilities
Digital Marketing and Social Media
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
R
Data Visualization and Analytics
Innovative Human-Technology Interaction
Mobile Crowdsensing and Crowdsourcing
Natural Language Processing Techniques
+1
K
Auction Theory and Applications
Ethics and Social Impacts of AI
Experimental Behavioral Economics Studies
Mobile Crowdsensing and Crowdsourcing
+1
T
Tarek Abdelzaher

Sohaib and Sara Abbasi Professor and Willett Faculty Scholar

Computer Science

University of Illinois Urbana-Champaign

Caching and Content Delivery
Complex Network Analysis Techniques
Energy Efficient Wireless Sensor Networks
Mobile Crowdsensing and Crowdsourcing
+1
S
Salma Elmalaki, Ph.D.

Associate Professor of Teaching Electrical Engineering and Computer Science

Department of Electrical Engineering and Computer Science

University of California, Irvine

Internet-Of-Things (iot)
Mobile Computing
Personalized Computing
Pervasive Autonomous Systems
+5
Y
Yanmin Gong

Associate Professor, School of Engineering Medicine

Computer Science

Texas A&M University

Cryptography and Data Security
IoT and Edge/fog Computing
Mobile Crowdsensing and Crowdsourcing
Privacy-Preserving Technologies in Data
+1
S
Adversarial Robustness in Machine Learning
Information and Cyber Security
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
I
AI in Software Engineering & Education
Human Aspects of Software Engineering
Open Source
Open Source Software Innovations
+4
H
Digital Accessibility for Disabilities
Mobile Crowdsensing and Crowdsourcing
Tactile and Sensory Interactions
Usability and User Interface Design
+1
D
Auction Theory and Applications
Data Stream Mining Techniques
Evacuation and Crowd Dynamics
Mobile Crowdsensing and Crowdsourcing
+1
X
Artificial Intelligence (ai)
Federated Learning in Wireless Networks
Signal Processing and Representation Learning
The Internet of Things (iot)
+6
B
Advanced Neural Network Applications
Mobile Crowdsensing and Crowdsourcing
Privacy-Preserving Technologies in Data
Recommender Systems and Techniques
+1
L
Cryptography and Data Security
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
Privacy-Preserving Technologies in Data
+1
X
Xiaowen Gong

Godbold Associate Professor Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Auburn University

Advanced MIMO Systems Optimization
Cooperative Communication and Network Coding
IoT and Edge/fog Computing
Mobile Crowdsensing and Crowdsourcing
+1
L
Information Visualization
Data Visualization and Analytics
Complex Network Analysis Techniques
Visual Perception and Processing Mechanisms
+2
G
Auction Theory and Applications
Complexity and Algorithms in Graphs
Game Theory and Voting Systems
Mobile Crowdsensing and Crowdsourcing
+1
C
Advanced Bandit Algorithms Research
Auction Theory and Applications
Experimental Behavioral Economics Studies
Mobile Crowdsensing and Crowdsourcing
+1
2

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