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  • 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...

  • The ACT (Autonomous and Connected Transportation) Lab is focused on understanding the interactions between drivers/travelers, emerging vehicular technologies, and novel infrastructure designs. To this aim, a high-fidelity full-cab driving simulator is employed for data collection. Based on the data collected in the simulated environment, as well as data from other sources, the research team ...

  • 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. ...

  • 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...

  • 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 develop an automotive LiDAR system in support of the emerging technical area of vehicle autonomy and increased safety.

  • 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). ...

  • The Bits of Good VIP team is closely linked to the Bits of Good student organization. In order to participate in the VIP, you will need to be a member of the BoG student organization, as this is where teams, roles, and training will take place. As a member of VIP, you will have some additional responsibilities to support the assignment of individual grades for the VIP. These may include:...

  • 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.).

  • This VIP takes as its main focus Georgia Tech’s new Living Building – the Kendeda Building for Innovative Sustainable Design – and its efforts to advance social equity as one of seven key performance areas in the Living Building Challenge. This VIP also explores equity and resilience in sustainability projects on Georgia Tech’s campus...

  • WILL RETURN FALL 2023   Green chemistry and engineering are creating a culture change for the future direction of industry. Flow chemistry will be an essential tool to sustainable and tailored chemical-based processes. This project will design, build, test, and evaluate prototypes of flow reactors for targeted chemical processes.

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

  • This project will no longer accept new students as it will conclude Fall 2023 ...

  • Model crack propagation, crack networks, particle crushing, and healing in salt rock; predict soil and rock THCM behavior during heat and fluid injection and extraction; design new geomaterials to optimize the fuel cycle; and recommend strategies for resource and waste management.

  • The objective of this program is to develop tools and methods for designing and securely using configurable computing in embedded systems.

  • This team focuses on the effects that data are having in shaping education, on how new, rich, educational data sources can be used to improve content, instruction, and learning. Specifically, we look to the vast array of data that can be collected around educational opportunities at Georgia Tech and how those data shape educational practice.

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