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- A Community Research Infrastructure for Integrated AI-Enabled Malware and Network Data Analytics
- AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection
- Automated Vulnerability Discovery and Crash Investigation System Guided by Unmanned Aerial Vehicle Control Model
- Captioning Scientific Figures at Scale
- Computer-based Stroke Analysis
- Curating a Releasable Large-Scale Dataset for Common Logical Fallacies in Online Conversations
- Groundwork for a Synchrotron MicroCT Imaging Resource for Biology (SMIRB)
- Interpretable Machine Learning based on Deep Neural Networks: A Source Coding Perspective
- Predictive Modeling from High-Dimensional, Sparsely and Irregularly Sampled, Longitudinal Data
- Science-Informed Machine Learning to Accelerate Real-time (SMART) Decisions in Subsurface Applications Phase 2 Development and Field Validation
- Self-Supervision of Visual Learning From Spatiotemporal Context
- Towards Provable Security of Real-world Servers: Where Online Learning Meets Server Retrofitting
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About
Through interdisciplinary and collaborative innovation, we are driving the future of the Information Age.
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Prospective Students
Explore our interdisciplinary programs that prepare versatile leaders for the global economy.
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StudentsAccess the resources and services you need to succeed in and out of the classroom.
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Yao
Lyu
Informatics Ph.D. Student
Graduate Adviser
Jack Carroll
Graduate Cohort
2020
Website(s):
Research Interests
Human-Computer Interaction, Computer-Supported Cooperative Work, Infrastructure Studies, Community Informatics