Welcome to IDEaS
The Institute for Data Engineering and Science (IDEaS) provides a unified point to connect government, industry, and academia to advance foundational research, and accelerate the adoption of Big Data technology. IDEaS leverages expertise and resources from throughout Georgia Tech's colleges, research labs, and external partners, to define and pursue grand challenges in data science foundations and in data-driven discovery. We are also dedicated to educating students and those already in the workforce through innovative educational and training programs.
Spotlight
Tech Receives Commitment to Launch New AI Health Innovation Center
The Parker H. Petit Center for AI-Driven Health Innovation will operate under the Institute for Data Engineering and Science (IDEaS) and bring together researchers from across Georgia Tech to advance AI-driven approaches to human health. Researchers affiliated with the Petit Center will work across fields and with clinical and healthcare organizations to help close the gap between discovery and practical use. Over time and with additional investments, the Petit Center’s work will expand into areas such as cancer biomarker discovery, healthy aging, advanced cellular therapies, and AI-supported healthcare systems.
Leadership Appointments to Focus on Building Connections & AI Skills
The Institute for Data Engineering and Science (IDEaS) has selected faculty to serve in two associate director roles that will center on developing internal and external community projects at the intersection of data sciences, machine learning, and AI. They will support the executive director, David Sherrill, in creating research and upskilling opportunities for the campus community in fundamental and applied machine learning and AI for research and by identifying promising new research collaborations and potential funding sources.
Career Alert!
Research Engagement Manager-IDEaS and INNS
The Institute for Data Engineering and Science (IDEaS) and the Institute for Neuroscience, Neurotechnology, and Society (INNS) are seeking a Research Engagement Professional to cultivate strategic external research partnerships with industry, foundations, and government entities. This role supports multidisciplinary priorities across Georgia Tech research units, including robotics, space, manufacturing, and materials. The incumbent collaborates with faculty and leadership to identify strengths, align partnerships, and steward long-term collaborations.
Centers
Center for High Performance Computing
The Center for High Performance Computing (CHiPC) advances the state of the art in massive data and high-performance computing technology, and solves high-impact real-world problems. HPC scientists devise computing solutions at the absolute limits of scale and speed. In this compelling field, technical knowledge and ingenuity combine to drive systems using the largest number of processors at the fastest speeds with the least amount of storage and energy. The center's focus is primarily on algorithms and applications.
The Center for Artificial Intelligence in Science and Engineering (ARTISAN)
The Center for Artificial Intelligence in Science and Engineering (ARTISAN) aims to accelerate advances in science and engineering by integrating cutting-edge artificial intelligence techniques. We are dedicated to fostering interdisciplinary research, cultivating the next generation of AI experts, and developing innovative solutions that address complex challenges in our world.
The South Big Data Innovation Hub
Georgia Tech, along with the University of North Carolina’s Renaissance Computing Institute (RENCI), co-directs the South Big Data Regional Innovation Hub that serves 16 Southern states and the District of Columbia. It is part of the National Science Foundation’s four Regional Innovation Hubs, created to build innovative public-private partnerships addressing regional challenges from data analysis and research to data science workforce development. The Georgia Tech location is operationally run as a center of the Institute for Data Science and Engineering.
Featured Research Areas
Machine Learning
Unstructured and dynamic data analysis, deep learning, data mining, and interactive ML underpin big data foundations and applications.
Health & Life Sciences
Driving predictive, preventive, & personalized care using big data sets from genomics, systems biology, proteomics, and health records.
High Performance Computing
High-performance systems, middleware, algorithms, applications, software, and frameworks for data-driven computing.
Materials & Manufacturing
Microscopic views of materials and scalable modeling and simulation technologies for accelerated development of new materials.
Energy Infrastructure
Sensors and Internet of Things enable infrastructure monitoring. Data analytics improves energy production, transmission, distribution, and utilization.
Algorithms & Optimization
Streaming and sublinear algorithms, sampling and sketching techniques, high-dimensional analysis for big data analytics.
