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  • 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.

  • 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...

  • 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 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). ...

  • Will return Fall 2023 ...

  • To discover how evolution acts on materials properties in microbial systems. Use experiments,  simulations, and analytical theory to elucidate how biological fitness and function emerge from physical principles.

  • 1.) Creating and improving classifiers which will predict cichlid fish behavior in video data Biology: Review the literature to find behaviors of biological importance. Learn to identify complex behaviors in video which aids in correctly training our machine learning model. Computer Science: Learn and utilize computer vision classifier. Seek and develop new tools that will improve accuracy...

  • The first goal of the project is to curate the large volumes of data collected by higher education institutions. The team will then develop dashboards and other tools that enable users and decision makers to analyze, understand, and act on that data.   

  • The goal of this course is to explore the intersections of health, storytelling, and visual communication. Collaborative projects might include comics, exhibitions, apps, and other creative projects meant to help make medical information more accessible and appealing to broad audiences. We will work with hospitals, clinics, and other medical professionals as partners.

  • We are comprised of several teams, made up of both undergraduate and graduate students, all working on different projects to solve global development issues. These solutions include: economic technologies for rural farmers, nutrition and farming engineering, vulnerability analyses, and accessible healthcare technology. We value human-centered design and co-creating with communities to ensure...

  • To discover physical principles of how animals move in complex, challenging environments. Use tools from physics, neuroscience, biomechanics, and robotics to extract mechanism of how animal and engineered systems move, especially with respect to stability, agility, and robustness.

  • To examine how small, low cost unmanned aerial vehicles can be used to deliver items, operate in constrained environments, and maximize efficiency.  To achieve this, we will develop electromechanical designs, avionics, and algorithms for small, low cost, aerial vehicles.  We will first focus on developing gliding vehicles that are catapult launched.  Once the platforms are...

  • The team explores financial markets with machine learning tools. Machine learning (ML) techniques are heavily employed in quantitative trading strategies to predict or price stocks and other asset markets such as bonds, options and other derivatives, commodities, etc. Students will not only do research in these areas, but they will also learn how to use ML tools to better understand and...

  • Modern electronic devices are powerful but uninspiring; they are ubiquitous but ephemeral. We will design and fabricate devices for music production, gaming, and computing sparked by real-world designs from the past as well as fictional formulations of imagined futures. The black-and-white, utilitarian minimalism of modern laptops and cell phones that blight the aisles of Best Buy with boredom...

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