The Auton Lab

Developing Artificial Intelligence for practical solutions to real world problems

Battlefield Health Care

Using cutting edge research and technologies, CMU develops techniques and systems intended to rapidly triage and stabilize injuries sustained in high-risk areas, particularly the battlefield or during military operations. Automated diagnosis and detection of injuries can quickly identify problems, with the eventual goal of automatic medical kits to stabilize soldiers and victims of disasters until qualified help can arrive.

Health Care

We use machine learning tools to build various types of practical models of data. This can range from predictive models that aim to identify some interesting aspect of patient data (e.g. is a monitor alert real or artifact, are there signs of disease or not), explanatory models (e.g. what differentiates one cohort from another, or one state from another), forecasting and trending models (e.g. what is going to happen in the future, will a patient become unstable), and grouping (or clustering) entities (e.g. these patients are similar to those ones).

Outbreak Detection

Hospital acquired infections are a significant yet preventable detractor of patient care. The Auton lab develops statistical models for joining disparate sources of information such as genetic tests, patient histories, geography, and other epidemiological information for detecting systematic outbreaks and identifying root cause. Leveraging multiple data sources, our algorithms establish corroborating evidence to support or dismiss hypothetical outbreak scenarios, both increasing detectability and speed of analysis while maintaining low false alert rates.

Predictive Maintenance

The Auton Lab has over 15 years of experience applying machine learning to maintenance of complex aerospace and automotive assets. Our work focuses on reducing risks of unforeseen issues, reducing false positives in fault detection systems, and forecasting future failures.

Radiation Safety

We develop algorithms for both detection and decision support in nuclear threat identification. Using our flagship Bayesian Aggregation method for source detection and characterization we are developing fast and efficient tools for situational awareness and safety applications. Our work focuses on robust methods, multi-sensor and multi-modal data fusion, and decision support infrastructure for rapidly processing alerts.

Usability

The Auton Lab is dedicated to helping organizations and individuals make use of machine learning and automation principles to better ourselves and the lives of everyone. We create software and guidelines that makes it easier for anyone to perform complex data analysis, and to refine techniques to better use the data available to them.

Latest News

Jun 1, 2022
$10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance
The School of Computer Science’s Auton Lab will use $10.5 million from the U.S. Army to lead a multi-institution effort to extend the capabilities of artificial intelligence in predictive maintenance.
Dec 29, 2021
Auton lab provides analytic support to Allegheny County Health Department's covid mitigation efforts
The Auton Lab’s work with the Allegheny County Health Department (ACHD) was featured at WPXI media and in the official Allegheny County Press release. The Auton lab is providing analytics to detect and forecast covid using microbiological testing of wastewater and developing a systematic analysis capability that this local public health office will use in daily practice.
Nov 18, 2021
EDS-HAT featured nationally
Our Enhanced Detection System for Healthcare-Associated Transmission algorithm is making news following a retrospective impact study led by our collaborators at the University of Pittsburgh. By coupling machine learning with whole genome sequencing, CMU and University of Pittsburgh School of Medicine scientists have greatly improved the quick detection of infectious disease outbreaks within a hospital setting.
Jul 12, 2021
Marinus Analytics places in XPrize competition
CMU spinoff Marinus Analytics won third place in the IBM XPrize for their work on counter-human-trafficking! Marinus Analytics has worked closely with the Auton Lab in the past in developing their methodology. See the full story on the CMU News Site.

The Auton Lab

Battlefield Health Care

Health Care

Outbreak Detection

Predictive Maintenance

Radiation Safety

Usability

Latest News

$10.5M Army Contract to CMU Lab Will Expand Use of AI in Predictive Maintenance

Auton lab provides analytic support to Allegheny County Health Department's covid mitigation efforts

EDS-HAT featured nationally

Marinus Analytics places in XPrize competition