Teams

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  • The goal of this VIP team is to leverage generative AI to develop educational technologies that improve the learning experience of college students. These technologies will be focused on creating more equitable learning outcomes across diverse learners.

  • 1) Innovation in Bio-Inspired Design: Advance the understanding of bio-inspired robotics by integrating biological principles into the design of soft-material robotic swimmers. 2) Interdisciplinary Project: Foster collaboration between engineering, material science, and biology to explore new soft robots that contribute to the field of biomimicry. 3) Fluid Dynamics Analysis: Investigate the...

  • Some of the strengths of Media Arts are its interdisciplinary nature and innovative use of technology and artistic practices. These strengths create problems in publishing academic or creative media-arts projects in traditional books and journals. Our goals are: 1) Research how and why non-traditional journals operate (funding, print & web-based strategies, peer-review vs peer-supported,...

  • The Law, Data & Design Lab works to increase fairness, efficiency, transparency, and access to justice in the civil and criminal legal systems in the United States and around the world. We use methods from computer and data science (e.g., natural language processing, machine and deep learning), operations management (e.g., process mining, simulation), public policy (e.g., program...

  • The mission of the Workplace Ecology Lab (WELab) is to create sustainable and healthy human-centered environments. Our team conducts research on the interdependent relationship between human outcomes and the built environment in various settings, such as workplaces, university campuses, and homes. To achieve this, we employ a diverse array of mixed methods, encompassing data analytics,...

  • 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 goal of this team is to create educational tools for nanoscale additive manufacturing (AM) based on two-photon absorption (TPA) so that high-skills nanoscale three-dimensional (3D) printing can become as prolific as hobbyist 3D printing is today. TPA-based nanoscale AM has the unique ability to use light to produce 3D structures with features as small as 100 nm. These structures have...

  • 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...

  • Using artificial intelligence (AI)-based approaches (especially manifold learning) for understanding the delicate rules of nature and utilizing them for forming innovative software- and hardware-based tools for addressing the major challenges in a wide range of disciplines. ...

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

  • Finding new materials to serve as the next generation catalysts, batteries, solar cells, superconductors or electronic devices can have a potentially transformative impact on our lives and society. Here, we seek to leverage state-of-the-art machine learning methods to accelerate the process of materials discovery and design far beyond what is possible using conventional simulation and...

  • 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...

  • 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...

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

  • Future wireless communication devices will need to dynamically learn their environment and opportunistically exploit spectrum. The goal of this project is to integrate machine learning algorithms into communication architectures to achieve the agility required for the task. The team will participate to the DARPA Spectrum Collaboration Challenge (SC2) and test its solutions against other...

  • 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...

  • Airavata 2.0 is a cutting-edge project that aims to revolutionize computational experiments. Students interested in contributing to a groundbreaking initiative at the intersection of technology and science should consider this project. ...

  • Aquabots will explore new research in maritime robotics including navigation of underwater and surface vehicles, mapping and exploration underwater, and other challenging maritime robotic technologies.

  • 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 design and instantiate autonomous mobile robots capable of performing non-trivial tasks in support of people, in life and in work. Emphasis is on task-driven autonomy and underlying algorithms needed to realize it.

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