This project is about developing an interactive map of health care centers in US, right now providing treatment and are ready to serve COVID-19 situation. With the map people of USA will find the nearby hospitals as well as be able to monitor real time availability of ICU beds to get the treatment for COVID-19.

To see the interactive map, Click here and for video overview, Click..

This project is developing a deep learning based social media analytics algorithm which does multimodal analysis of social media data in order to detect and monitor real time drug dealing and sharing drug related posts from social media including opioid, marijuana , hookah, LSD etc. Read more

The objective of this project is to build a platform for visualizing and analyzing crime data in Baltimore as it relates to the transportation network. The platform will be built using open source tools on the Docker platform. Baltimore Crime data will then be spatially joined with OpenStreetMapdata and stored in the PostGIS database. The resulting platform will then be used to analyze and visualize the relationships between crime and transportation networks in Baltimore using JupyterHuband web-based mapping applications. And Dr. Michael McGuire is the PI of this project.

The objective of this project is to develop AI (Artificial Intelligence) models based on multiple sources for accident detection including social media feeds, crowd sourced data such as Waze, images collected by drones, and automatic detector data into one unified paradigm to accurately detect traffic accidents and estimate their severity in a time frame as close to real time as possible. In addition, the resulting models will then be used to predict traffic situations that can lead to accidents.