Teams

The ACT (Autonomous and Connected Transportation) Driving Simulator Team addresses problems that arise in multiple dimensions due to the emergence of autonomy, connectivity, and novel tech-leveraged modes in transportation. A major focus is to understand the interactions among drivers/travelers, emerging vehicular technologies related to connectivity and autonomy, and novel infrastructure...

To develop a system that will be able to drive like an expert human driver. In order to achieve this, we will initially monitor the driving styles of several drivers using a high-fidelity driving simulator. Based on the measurements, we will be able to classify drivers according to their skill using graphical inference models. We will then develop suitable models for drivers’ actions and...

The Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) at Georgia Tech focus on planning, control, and decision-making algorithms of highly dynamic, under-actuated, and human-cooperative robots in complex environments. The VIP Team will explore the challenging research topics in mechanical design, mechatronics, control algorithm design, and perception of dynamic legged...

This project brings together histories and concepts of visual culture and image making with explorations of technology and artificial intelligence. We are an artist and AI researcher exploring approaches to applying machine learning to create artistic images. Our team is analyzing the application of machine learning to the creative act of image making. Working collaboratively in the areas of...

To develop a framework that fundamentally alters the development of algorithms. We desire to create an automated method that starts with the best human algorithms and then dispassionately develops hybrid algorithms that outperform existing methods. Next, we prove that these algorithms can also be studied by humans for inspiration in development of new algorithm and optimization methods. ...

Leverage advances in machine learning and data analytics to enable faster and more accurate calculations of chemical properties using quantum-mechanical techniques such as density functional theory (DFT). ...

Goals: To build a suite of mobile applications for iOS and Android devices that will be used to administer and collect data from individuals who have suffered brain traumas with lingering effects (e.g., stroke leading to Aphasia, Alzheimer’s, etc.).

Due to ITAR and other access restrictions this project is limited to US citizens only.

GOALS: To examine the problem of concussion from a multidisciplinary view that includes neuroscience, clinical assessment, sports engineering, health informatics, and societal issues.