where curiosity flows . . .
How we measure the world, extract meaning from noise, and use feedback to keep complex systems stable and reliable.
Information, Signals & Control research studies how information is represented, transmitted, and acted on under uncertainty, noise, and real-world constraints. This is where measurement limits, prediction, stability, and feedback live. It’s not “just data”; it’s the science of knowing and steering systems.
Start with the core research questions, then follow the mathematical and physical foundations plus the methods used in modern research. Applied outcomes live in the “Applied Threads” section below.
Explore real-world themes where signals, inference, and feedback show up together.
From raw measurements to interpretable pictures and maps.
Explore →Perception → planning → control under uncertainty.
Explore →Bandwidth, coding, reliability, and modern infrastructure.
Explore →Forecasting, tradeoffs, and robust choices in messy reality.
Explore →From raw measurements to interpretable pictures and maps.
Explore →Perception → planning → control under uncertainty.
Explore →Bandwidth, coding, reliability, and modern infrastructure.
Explore →Forecasting, tradeoffs, and robust choices in messy reality.
Explore →