All Research Projects

Topics:
Health Systems Operations, Social Sciences
Topics:
Health Systems Operations
Martin A. Brooke, Guillermo Sapiro
Topics:
Digital Humanities
Topics:
Social Sciences
Topics:
Digital Humanities
Chris Tralie, Paul Bendich
Topics:
Digital Humanities
Mariano Tepper, Guillermo Sapiro
Topics:
Digital Humanities

Supported by a grant from the National Science Foundation Data Infrastructure Building Blocks program, we are developing an integrated system for disseminating large-scale social science data.

Jerry Reiter
Topics:
Social Sciences

A new model is developed for joint analysis of heterogeneous data. We seek to predict fMRI responses based upon genetic data and answers to psychological questionnaires.

Topics:
Health Systems Operations
Guillermo Sapiro, Helen L. Egger, MD
Topics:
Child Mental Health

We study a tree-based locally linear model for high-dimensional regression.

Mauro Maggioni
Topics:
Genomics and the Life Sciences

Use information functions to control sensors de-centrally, in order to obtain measurements of moving targets online that have most beneficial information to target BNP models.

Hongchuan Wei, Wenjie Lu
Topics:
Energy Data Analytics
Galen Reeves
Topics:

The TCRN develops methods for improving collection, access, and analysis of government data.

Jerry Reiter
Topics:
Social Sciences

Deep brain stimulation (DBS) is a widely used neurosurgical intervention for the treatment of neurodegenerative diseases such as Parkinson’s disease (PD), Essential tremor, and psychiatric disorders.

Jinyoung Kim, Guillermo Sapiro
Topics:
Imaging and the Brain

The differentiation and localization of brain structures is a crucial component for any neuroscience research or clinical applications.

Topics:
Imaging and the Brain

We propose a Gaussian mixture model to solve the compressive sensing problem without resorting to other signals to train the model. 

Jianbo Yang
Topics:

A new model is developed for joint analysis of heterogeneous data. We seek to predict fMRI responses based upon genetic data and answers to psychological questionnaires.

Topics:
Genomics and the Life Sciences