Data Science

Data Science and Visual Analytics

Massive amounts of data are created by research, medicine, and society through large-scale scientific simulations, high-throughput and multi-modal experimental devices, web and social media usage, and ever increasing number of sensors in the environment, manufacturing, and even in our daily lives. From engineering to medicine, manufacturing to social sciences, the challenge has shifted from generating sufficient amounts of data to understanding and using it, hence resulting in the rapid emergence of the field of Data Science. CSE faculty are prominent leaders in the interdisciplinary field of Data Science, particularly in developing new data and visual analytics approaches to analyze and transform large and complex data sets into knowledge and actionable information.

Specific topic areas of interest within CSE include: 

  • Data mining and visualization
  • Data and AI security
  • Graph analytics
  • Health analytics
  • Network science
  • Social and urban computing
  • Explainable and equitable AI

Current interdisciplinary research directions at CSE include developing scalable, interactive and interpretable tools for large-scale data and AI/ML models; understanding and managing dynamical systems, varying from understanding and fighting against the spread of diseases to improving urban infrastructure and strengthening safety and well-being on the web.

Research in data science and visual analytics at Georgia Tech involves many campus units — spanning colleges, schools, and individual labs. Together, these researchers work to create new collaborative opportunities, strengthen partnerships with industry and government, and maximize the societal impact of the transformative data science research conducted at Georgia Tech.

Related links:

Institute for Data Engineering and Science (IDEaS)

M.S. in Analytics

 

CSE Faculty specializing in Data Science and Visual Analytics research:

Srinivas Aluru

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Srinivas Aluru

Regents' Professor

Personal Webpage

Bo Dai

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Bo Dai

Assistant Professor

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B. Aditya Prakash

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B. Aditya Prakash

Associate Professor

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Helen Xu

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Helen Xu Block 2

Assistant Professor

Personal Webpage

Ümit Çatalyürek

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Ümit Çatalyürek

Professor

Personal Webpage

Surya Kalidindi

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Surya Kalidindi

Joint Regents' Professor

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Florian Schäfer

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Florian Schäfer

Assistant Professor

Personal Webpage

Chao Zhang

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Chao Zhang

Assistant Professor

Personal Webpage

Polo Chau

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Polo Chau

Professor

Personal Webpage

Srijan Kumar

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Srijan Kumar

Assistant Professor

Personal Webpage

Kai Wang

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Kai Wang Profile

Assistant Professor

Personal Webpage

Xiuwei Zhang

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Xiuwei Zhang

Assistant Professor

Personal Webpage

Peng Chen

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Peng Chen

Assistant Professor

Personal Webpage

Haesun Park

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Haesun Park

Chair, Regents' Professor

Personal Webpage

Anqi Wu

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Anqi Wu

Assistant Professor

Personal Webpage