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The ability of correctly evaluating the learned models is one of the most crucial aspects of machine learning. On the one hand, it is necessary to assess that one model…

INFERLab
(Intelligent Insfrastructure Research Lab)

The Intelligent Infrastructure Research Lab (INFERLab) is composed of a dedicated group of researchers at Carnegie Mellon University who are interested in rethinking and redesigning our built environment to improve its operational efficiency, as well as increase its resilience, adaptiveness and autonomy. In an increasingly resource-constrained world, our infrastructure systems will need to be able to interact with their environment and with each other in order to maximize their efficiency and minimize risks. Founded in 2011 by Dr. Mario Berges in the Civil and Environmental Engineering Department, the INFERLab is interested in undertaking research to help solve these problems.

What are we working on?

1
Sensing and Instrumentation Systems
2
Smart Grid Technologies
3
Building Automation Systems
4
Structural Health Monitoring
5
Geotechnical Systems Monitoring

Blog

Matlab tidbits

19 Jul 2012

Here’s how you’d implement a low pass butterworth filter in matlab. This has come in very handy. Here’s how you’d add (gaussian white) noise: Matlab can be a real pain when trying to save CSV…

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Publications

A Magnetic Field-based Appliance Metering System

Understanding where energy is being used in buildings is an important CPS component that can help improve energy conservation and efficiency. Current approaches for appliance-level energy metering typically require the installation of plug-through power meters, which is often difficult and…

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News

Paper accepted for SmartGridComm’13

A paper written by Emre Can Kara and Mario Berges in collaboration with Zico Kolter from the School of Computer Science, Tugce Yuksel from Mechanical Engineering, Gabriela Hug and Bruce Krogh from Electrical and Computer Engineering is…

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