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Mobile Crowdsensing and Crowdsourcing

Mobile Crowdsensing and Crowdsourcing

93 faculty research Mobile Crowdsensing and Crowdsourcing on GradNova.

K
Digital Games and Media
Mobile Crowdsensing and Crowdsourcing
Open Source Software Innovations
Populism, Right-Wing Movements
+1
A
Mobile Crowdsensing and Crowdsourcing
Air Quality Monitoring and Forecasting
Green IT and Sustainability
J
Geographic Information Systems Studies
Mobile Crowdsensing and Crowdsourcing
Peer-To-Peer Network Technologies
Semantic Web and Ontologies
+1
D
Advanced Graph Neural Networks
Complex Network Analysis Techniques
Expert Finding and Q&a Systems
Mobile Crowdsensing and Crowdsourcing
+1
M
Expert Finding and Q&a Systems
Information Retrieval and Search Behavior
Mobile Crowdsensing and Crowdsourcing
Natural Language Processing Techniques
+1
E
How Technology Can Be Designed to Foster and Celebrate Certain Human Values
New Models of Interactions With Machine Intelligence
Social Computing Technology That Coordinates Small Groups to Large Crowds
Mobile Crowdsensing and Crowdsourcing
+4
K
Applications of Artificial Intelligence to Support Sustainable Development and Climate-Related Initiatives
Artificial Intelligence With a Focus on Multiagent Systems and Reinforcement Learning
Cooperation and Coordination in Multiagent Systems
Auction Theory and Applications
+4
W
Advanced Authentication Protocols Security
Blockchain Technology Applications and Security
Distributed Systems and Fault Tolerance
Mobile Crowdsensing and Crowdsourcing
+1
K
Ethics & Fairness
Human-Centered AI
Human-Computer Interaction
Innovative Human-Technology Interaction
+4
V
Human-Centered Computing (human-Computer Interaction, Design, Social Computing, Digital Health, Citizen Science)
Mobile Crowdsensing and Crowdsourcing
Innovative Teaching and Learning Methods
Innovative Human-Technology Interaction
+2
S
Human-AI Interaction
Human-Computer Interaction
Information Retrieval
Systems
+5
S
Auction Theory and Applications
Consumer Market Behavior and Pricing
Game Theory and Applications
Mobile Crowdsensing and Crowdsourcing
+1
L
Cryptography and Data Security
Human Mobility and Location-Based Analysis
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
N
AI Ethics
AI Policy & Governance
Computational Sustainability
Human-AI Value Alignment for Societal Decision-Making
+6
Z
Machine Learning
Statistics
Theoretical Computer Science
Adversarial Robustness in Machine Learning
+4
M
Mohit Bansal

John R. and Louise S. Parker Distinguished Professor

Computer Science

University of North Carolina at Chapel Hill

Human-Like Language Generation and Q&a/dialogue
Interpretable and Structured Deep Learning
Multimodal, Grounded, and Embodied Semantics
Statistical Natural Language Processing and Machine Learning
+3
W
Wei Song

Professor and Coordinator of Software Engineering

Computer Science

University of New Brunswick

Advanced Graph Neural Networks
Mobile Crowdsensing and Crowdsourcing
Reinforcement Learning in Robotics
J
Joseph Konstan

Professor, Distinguished McKnight University Professor, Distinguished University Teaching Professor, Associate Dean for Research

Computer Science

University of Minnesota

Advanced Bandit Algorithms Research
Expert Finding and Q&a Systems
Mobile Crowdsensing and Crowdsourcing
Multimedia Communication and Technology
+1
F
Florian Schaub

Associate Professor, School of Information; Associate Professor (courtesy), EECS – Computer Science and Engineering

Computer Science and Engineering

University of Michigan

Computer Security
Human-Centered Privacy and Security
Human-Computer Interaction
Technology Policy
+5
A
Anhong Guo

Morris Wellman Faculty Development Assistant Professor of Computer Science and Engineering; Assistant Professor, EECS – Computer Science and Engineering; Assistant Professor (courtesy), School of Information

Computer Science and Engineering

University of Michigan

Accessibility
Augmented Reality
Human-AI Interaction
Human-Computer Interaction
+6
G
Cryptography and Data Security
Internet Traffic Analysis and Secure E-Voting
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
A
Innovative Human-Technology Interaction
Interactive and Immersive Displays
Mobile Crowdsensing and Crowdsourcing
Open Source Software Innovations
+1
T
Adversarial Robustness in Machine Learning
Auction Theory and Applications
IoT and Edge/fog Computing
Mobile Crowdsensing and Crowdsourcing
+1
T
Ethics and Social Impacts of AI
Homelessness and Social Issues
Housing, Finance, and Neoliberalism
Mobile Crowdsensing and Crowdsourcing
+1
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