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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
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- 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
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Through interdisciplinary and collaborative innovation, we are driving the future of the Information Age.
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Tianqi
Kou
he/him
Informatics Ph.D. Student
Graduate Adviser
Fred Fonseca and Daniel Susser
Graduate Cohort
2020
Research Interests
- Philosophy of Science and Technology
- Epistemology of Machine Learning
Research Keywords
Justification
Research reproducibility and transparency