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.

  • 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,...

  • 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...

  • 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. ...

  • 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...

  • 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.

  • 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...

  • 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. Students in this class work closely with community partners to support the...

  • The goal of the chemical equity VIP team is to explore chronic chemical exposures in occupations tangentially using chemicals, such as agriculture, transportation, constructions sectors. The team will be analyzing state and federal data leveraging molecular understanding of the chemicals reactivity, physical properties and toxicity profiles. Relationships between chemical exposure and...

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

  • The Climate Innovations VIP (formerly National Parks: Diversity & Sustainability) will explore technologies and practices to assess the impacts of climate, man-made and natural events on regional ecosystems. Building on the foundational research of diverse teams from prior US national park and Patagonia sustainability and outreach projects, the class will utilize tools including AI and...

  • 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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