Illinois Tech’s College of Computing is a hive of data science research. Find faculty and students with similar interests in one of the many data science research groups on campus.
Data Science
Standing the Test of Time
Professor of Computer Science Ioan Raicu was a first-year Ph.D. student when he co-authored the paper, titled “," which won the ACM/IEEE SC25 Test of Time Award.
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Computing Data Faster at DUNE
Nik Sultana, assistant professor of computer science at Illinois Tech, received a Universities Research Association (URA) Visiting Scholars Program grant to collaborate with Fermilab researchers to build software that reads the data collected by switches in the neutrino project the system’s detectors in real time.
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Transforming Data Interaction with NSF Grant
Xian-He Sun, Ron Hochsprung Endowed Chair of Computer Science, and , assistant research professor of computer science, received a National Science Foundation grant to pursue IOWarp, a platform to reduce the amount of data that needs to be transferred through optimization techniques and data transformation
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Real-World Experience
Blending strong academics with real-world experience in Illinois Tech’s Master of Data Science degree program has helped Sanjana Waghray become career ready.
Sanjana Waghray (M.A.S. DSC 2nd Year)
Hands-On Learning
Â鶹APP could be more prepared for a disaster through a cooperative effort between CPS and FEMA
Ryan Ciminski (AMAT 2nd Year)
Real-World Experience
A biostatistics research opportunity in summer 2024 exposed Virginia Reider to a new application for her math skills—and built the confidence that she needs to pursue a new career path.
Virginia Reider (STAT ’25)
Communication Is Key
The research opportunities at Illinois Tech are outstanding, and so are the opportunities to present that research.
Miles Bakenhus (Ph.D. AMAT 1st Year)
Hands-On Learning
A summer Research Experience for Undergraduates stipend gives students an opportunity to conduct their own research. Illinois Tech hosted 10 students to develop research projects in big data.
Anna Kong (Computer Science/M.S. Data Science 4th Year)