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Mobile Crowdsensing and Crowdsourcing

Mobile Crowdsensing and Crowdsourcing

53 faculty research Mobile Crowdsensing and Crowdsourcing on GradNova.

K
Information Retrieval
Machine Learning
Natural Language Processing
Social Computing
+5
C
Advanced Bandit Algorithms Research
Auction Theory and Applications
Experimental Behavioral Economics Studies
Mobile Crowdsensing and Crowdsourcing
+1
K
Kurt Luther

Associate professor and associate director for research, Center for Human-Computer Interaction

Computer Science

Virginia Tech

Data Visualization and Analytics
Digital Games and Media
Mobile Crowdsensing and Crowdsourcing
Open Source Software Innovations
+1
J
Geographic Information Systems Studies
Mobile Crowdsensing and Crowdsourcing
Peer-To-Peer Network Technologies
Semantic Web and Ontologies
+1
I
Game Theory and Voting Systems
Mobile Crowdsensing and Crowdsourcing
Sports Analytics and Performance
M
Expert Finding and Q&a Systems
Information Retrieval and Search Behavior
Mobile Crowdsensing and Crowdsourcing
Natural Language Processing Techniques
+1
E
AI in Service Interactions
Mobile Crowdsensing and Crowdsourcing
Music and Audio Processing
Psychological and Educational Research Studies
+1
W
Blockchain Technology Applications and Security
Distributed Systems and Fault Tolerance
Mobile Crowdsensing and Crowdsourcing
K
Ethics & Fairness
Human-Centered AI
Human-Computer Interaction
Innovative Human-Technology Interaction
+4
V
Programming Languages (formal Verification and Testing, Language Implementation)
Mobile Crowdsensing and Crowdsourcing
Innovative Teaching and Learning Methods
Innovative Human-Technology Interaction
+2
D
Adversarial Learning
Imbalanced Data
Randomized Search Heuristics
Semi-Supervised Learning
+6
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
M
Mohit Bansal

John R. and Louise S. Parker Distinguished Professor, Director of Graduate Admissions

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
Computer Security
Human-Centered Privacy and Security
Human-Computer Interaction
Technology Policy
+5
A
Innovative Human-Technology Interaction
Interactive and Immersive Displays
Mobile Crowdsensing and Crowdsourcing
Open Source Software Innovations
+1
T
Tasfia Mashiat

Assistant Professor of Instruction

Computer Science

University of Iowa

Ethics and Social Impacts of AI
Homelessness and Social Issues
Housing, Finance, and Neoliberalism
Mobile Crowdsensing and Crowdsourcing
+1
R
Anomaly Detection Techniques and Applications
Context-Aware Activity Recognition Systems
Human Mobility and Location-Based Analysis
Mobile Crowdsensing and Crowdsourcing
+1
W
Computer Security
Computing and Software
Blockchain Technology Applications and Security
Game Theory and Voting Systems
+1
R
Rinku Dewri

Associate Professor, Computer Science

Computer Science

University of Denver

Cryptography and Data Security
Distributed and Parallel Computing Systems
Mobile Crowdsensing and Crowdsourcing
Privacy, Security, and Data Protection
+1
P
Blockchain Technology Applications and Security
Caching and Content Delivery
Cryptography and Data Security
Fintech, Crowdfunding, Digital Finance
+1
D
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Mobile Crowdsensing and Crowdsourcing
Multimodal Machine Learning Applications
+1
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