Teams

Conventional environmental simulation approaches in urban design are time-consuming and often incompatible with the fast-paced design processes. This project aims to revolutionize this outdated paradigm by developing surrogate models that accelerate simulations, thereby offering real-time feedback to urban decision-makers, such as architects, urban designers, and policymakers. Our goal is to...

To develop 2-D to 2-D tunneling structures to enable for smaller, faster, more capable microelectronic devices applied to a broad range of applications such as energy, RF, and sensing.

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...

Create Ava: an intelligent, full-body, controllable human avatar that can hear/see and is capable of natural, spoken conversations with humans.

AccessCORPS will train students (and others) to systematically assess the accessibility of GT course materials, to determine any barriers a student with an impairment or disability or other challenge may face when taking the course. The AccessCORPS team members will then work with the course instructor(s) to reduce access barriers in the materials and other aspects of the course, while also...

For students to learn the theory and gain the skills necessary to fabricate next-generation batteries for EVs, spacecraft, and Smart Cities infrastructure.

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. ...