Teams

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  • The proposed interdisciplinary team's goal is to investigate how virtual reality can enhance the digital twin platform that will be used for human-wearable robot education in construction. Sub-goals are to: 1. Develop personalized models (using machine learning) for predicting students' interactions with a virtual reality learning environment and integrate these models into a digital twin...

  • Bridge the gap between K-12 education and cutting-edge engineering, computing, and design to empower educators and students alike. The team will design and deliver dynamic workshops for K-12 schools, apply action research to enhance curricula, and build an online resource library with lessons and materials for teachers. These resources will help K-12 students deepen their understanding...

  • This class addresses the clean energy goals of the UN SDGs, GT CAP, and Institute Strategic Plan. It focuses on advancing these goals by challenging students to learn and conduct research using campus as a living lab. Class Goals include: 1. Learning about clean energy solutions 2. Assessing clean energy opportunities for GT’s highest energy intensive buildings 3. Conducting research and...

  • Underground infrastructure is responsible for the foundations of bridges and buildings and the construction of utilities, pavements and road tunnels. In this team, we combine rapid prototyping, electronics, and computational algorithms to create ground breaking underground technologies to: i) Improve the way we burrow and excavate soils ii) Create new methods to measure the characteristics...

  • This project aims to support multimodal transportation by making it safer and more comfortable for residents to walk and bike in their communities. We will work to improve heat resilience capacity and enhance climate justice by understanding how people adapt to extreme heat by changing their mobility and activity patterns. This will enable us to also explore variations in heat adaptation and...

  • 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...

  • Empower campus and democratize accessibility to the AI Makerspace; Enable the AI Makerspace to be accessible by all students and instructors; this entails the creation of tools, interfaces, libraries, and modules that empower the Georgia Tech community to access AI regardless of background and AI-related skills.

  • Develop an AI-driven tool to enhance collaboration within multidisciplinary teams. The AI (BrainBridge) will actively listen to team discussions, identifying and translating complex scientific jargon into accessible language. By intelligently deciding when and how to provide this information, BrainBridge will empower team members from diverse disciplines to better understand one another...

  • This VIP project aims to advance vertical precision agriculture by developing a hybrid AI-physiological crop modeling framework that integrates machine learning, non-invasive plant monitoring, and mechanistic models to optimize nutrient uptake, biomass growth, and crop health. Hyperspectral imaging will enable real-time plant monitoring, providing insights into biomass accumulation and...

  • 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. ...

  • 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.

  • This VIP team will focus on accelerating sustainable development in Africa. As the population rapidly increases (more than 2 billion projected by 2050), there are pressing needs in multiple areas. Students are invited to analyze, assess and discuss efforts to achieve sustainable development in Africa, and contribute projects on sustainable development there. Projects may...

  • 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.

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