Data Science News and Announcements

February 9, 2017

Awards for Microsoft Seed Funding

Faculty from the Colleges of Computing and Engineering have received awards for their proposals submitted in response to our call "Seed Funding in Data Engineering and Science for Cloud Computing Projects." The awards are funded by a generous gift to Georgia Tech from Microsoft to provide access to Microsoft Azure to seed projects in Data Engineering and Science. Microsoft Azure is a flexible cloud computing platform and infrastructure designed to support building, deploying, and managing data-intensive applications. Proposals were evaluated based on intellectual merit, match of needs to project scope, and on the impact to science or society. Each of the following awardees receives approximately $25,000 plus Microsoft Azure Credits equating to $25,000 per project:

  • Umakishore Ramachandran (CoC) for "SDO: Software defined orchestration in the fog-cloud continuum for situation awareness"
    Situation awareness deals with recognizing when sensed data could lead to actionable knowledge, and the associated sensors produce data around the clock, creating high bandwidth issues, latency demands, and extraneous data that need not be transported to the cloud. Ramachandran's research employs a holistic view of networks across all levels of the resource continuum from IoT platforms to the cloud. The work aims to exploit and extend Azure to provide infrastructure support for fog-computing using Ramachandran's execution framework called Foglets.
  • Ghassan AlRegib (ECE), in collaboration with Haibin Di, Zhiling Long, Dogancan Temel for "Cloud-enabled see-through"
    Computation imaging is fundamental to a variety of applications such as medical diagnostics, industrial manufacturing, energy exploitation, and space exploration. With the explosive growth of the size and volumes of image-associated data, and the need for interdisciplinary collaboration, the cloud has become a superior resource. The proposed work would develop high-security data sharing and storage on Microsoft Azure, advanced image-data-processing tools, user friendly visualization interfaces, and an integrated development environment. The resulting platform could impact numerous applications including petroleum exploration, medical diagnostics, and the inspection of precision instruments.
  • May Dongmei Wang (BME) for "GenePLUS: Developing a deep-learning-based open source tool over Azure cloud to enhance novel genome gene prediction"
    Accurately predicting genic structure is important for achieving a more efficient functional analysis of the organism, and such work requires large computing and storage resources such as Microsoft Azure services. Wang's proposed work will design, develop and deploy an open-source tool for the bioinformatics community that will use multiple genomic sequences and deep learning technologies to improve gene prediction accuracy.


February 7, 2017

IDEaS Welcomes New Associate Directors

Three faculty recently accepted roles with IDEaS.

  • Deirdre Shoemaker takes on the position of IDEaS Associate Director for Research and Strategic Initiatives. Deirdre is a Professor in the School of Physics, College of Sciences, and is one of the founding members of the Center for Relativistic Astrophysics, for which she is the current director.  She is also an adjunct associate professor of the School of Computational Science and Engineering.
  • David Sherrill has become the IDEaS Associate Director for Research and Education. David is the director of the Center for Computational Molecular Science and Technology, and is a professor in the School of Chemistry and Biochemistry in the College of Sciences.
  • Marilyn Wolf steps into her new role of IDEaS Associate Director for Research Infrastructure and Shared Resources. Marilyn is the Rhesa S. Farmer Distinguished Chair of Embedded Computing Systems, and a Georgia Research Alliance Eminent Scholar in the School of Electrical and Computer Engineering in the College of Engineering.


January 27, 2017

First Southern Data Science Conference comes to Atlanta on April 7

The data science community and members of the South Big Data Hub should mark their calendars for the very first Southern Data Science Conference, to be held on April 7 at the Hyatt Regency Atlanta Perimeter at Villa Christina. The conference is expected to attract data science thought leaders from around the southeast and the nation and will feature speakers from innovative companies and research laboratories, such as Google, Microsoft, AT&T, NASA, Glassdoor and Groupon.



June 5, 2016

A teaching assistant named Jill Watson

In his TedX Talk, Ashok Goel discusses the use of AI to enrich education.

Watch the video...


September 29, 2016

South Big Data Hub announces awards that apply data science to regional challenges

Three research teams in the Southern U.S. will receive funding for projects designed to use data science and data analytics to address challenges related to healthcare, environmental sustainability, and updating and improving power grids. The funding will be awarded through the “Big Data Spokes” program of the National Science Foundation’s (NSF) Big Data Regional Innovation Hub initiative.



September 28, 2016

Addressing Environmental Challenges with Big Data and Artificial Intelligence - Georgia Tech to collaborate with Smithsonian Institution and IBM

Soon scientists and the public will have the chance to easily test hypotheses about America’s ecological challenges with the help of an ensemble of technologies, including artificial intelligence. Researchers at Georgia Institute of Technology will link their technology for systems thinking with IBM Watson and the Encyclopedia of Life at the Smithsonian. Scientists will then be able to use the information to create their own models about the environment and efficiently test them.



August 28, 2016

Data Driven - Turning numbers into knowledge - Powerful computers and sophisticated algorithms change the way research is done.

When it comes to scientific circles, data science may be a new kid on the block, but it’s rapidly become everyone’s best friend. A highly interdisciplinary field that blends statistics, computing, algorithms, applied mathematics, and visualization, data science uses automated methods to gather and extract knowledge from very large or complex sets of data. “Data science is difficult to explain because any way you define it, you’re usually excluding something that is critically important,” said Dana Randall, a professor in Georgia Tech’s School of Computer Science.



May 31, 2016

The Big Data Issue: Georgia Tech Alumni Magazine, Vol. 92, No. 2

Issue dedicated to profiles of Big Data research across Georgia Tech.



June 5, 2016

Georgia Tech Meets Big Data Challenges by Uniting Under New Institute

The Georgia Institute of Technology is tackling the challenges of big data by creating the new Institute for Data Engineering and Science (IDEaS). Announced today, the new Interdisciplinary Research Institute (IRI) will unite researchers across Georgia Tech, foster important partnerships with industry, and play a key role in building the community of the recently announced Coda building in Technology Square.



April 20, 2016

Georgia Tech, Portman Announce Coda in Tech Square

The Georgia Institute of Technology and Portman gathered Atlanta’s civic and business leaders Wednesday to announce Coda, an unprecedented collaborative building including Georgia Tech’s high performance computing center located in Tech Square. The approximately 750,000-square-foot mixed-use project represents a $375 million investment into the budding innovation district.


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