What is the Institute for Data Engineering and Science?
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.
IDEaS Spotlight
IDEas Theoretical Neuroscience Seminar Series
Ashok Litwin-Kumar | Assistant Professor, Department of Neuroscience, Columbia University
Talk 1: Dimension of Activity In Random Feedforward Networks And Cerebellum-Like Systems February 21st | 2pm - 3pm | Klaus 2443
Zoom link: https://gatech.zoom.us/j/96621393496
Talk 2: Dimension of Activity In Random Recurrent Network Systems
February 22nd | 2pm - 3pm | Mason 3133
Zoom link: https://gatech.zoom.us/j/91947308413
SEE THE SERIES LINEUP HERE
Data Science @ Georgia Tech
As the largest student-run data science organization on campus, we are dedicated to developing technical skills in data science through various activities and events such as club projects, workshops, guest speakers and professors. Our organization serves as a platform for undergraduate and graduate students of all majors at Georgia Tech to learn about and practice data science and analytics. We are a focused club with three main components: projects, bootcamps, and Hacklytics.
LEARN MORE ABOUT THE ORGANIZATION HERE
Centers
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.
Transdisciplinary Research Institute for Advancing Data Science
The Transdisciplinary Research Institute for Advancing Data Science (TRIAD) integrates research and education in mathematical, statistical, and algorithmic foundations for data science. Funded by the National Science Foundation as part of their TRIPODS program, it is based at Georgia Tech and includes members from the School of Mathematics, the College of Computing, the School of Industrial and Systems Engineering, the School of Electrical and Computer Engineering, and many more.
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.
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.
News
On Dec. 10, 2022, Georgia Tech chemist M.G. Finn found himself in the Stockholm Concert Hall wearing a tuxedo. It was a big night — the 126th…
This week we introduce David Sherrill, Regents’ Professor in the School of Chemistry & Biochemistry with a joint appointment in the School of…
4 Questions with the IDEaS Leadership Team | Featuring Xiaoming Huo; A. Russell Chandler III Professor, H. Milton Stewart School of Industrial and…
