tidaltamu

Data used in tidaltamu workshops

The Libraries maintain a repository containing open access articles representing TAMU research. Using AI-related text mining akin to sentiment analysis, we would like to add a metadata facet for this collection that describes the research activity as either basic or applied research. We feel confident that, checking for the presence of two discr…

Single Cell Resolution Analysis for Bioinformatic Sequencing: Develop a deep learning generative model for single cell sequencing data. The revolution of single cell high throughput technology has generated a massive amount of genomic data for understanding molecular mechanisms at single cell resolution. However, the bioinformatics tools for sin…

Process data from the Houston Lightning Mapping Array to predict storm severity and flooding potential in order to alert the public. Machine learning and data mining skills are strongly needed. Students who wish to enhance website design skills are also needed.

This project consists of using a large database of extracted literature data to better understand the print parameters and their effect on the quality of the printed part. With so many print parameters, feature extraction will be very important in the analysis.

Support Crisis Responses for Urban Mobility Prediction: The objective of the project is to create novel machine learning models to predict disruptions in urban road systems and mobility during crises

Magneto: Machine learning to control and predict magnetic materials properties. This could be for other related materials such as superconducting material, magnetic shape memory alloys, alloys exhibiting spin glass, etc. Leveraging data science, this project is an exploratory research project to identify important features to magnetic properties…

Image analysis and software tools to provide an automated means of infrastructure damage assessment from natural disasters.

AI for Urban Flood Risk Prediction: This study employs AI methods for analyzing multi-model data (social media, remote sensing, crowdsourced data) to predict flood risk in urban area.

Artificial Intelligence Material Selection: Repository for the advancement of materials science through data analytics approaches