Data science is a growing field of understanding the world through data mining and deep learning and reasoning/artificial intelligence. Research Themes are Urban Infrastructures, Image Analysis and Computer Vision, Machine learning, Real-time scheduling, Heuristic Problem Solving. Four T/TT and 2 NTT Teaching faculty have at least a 50% commitment in Data Science. The work is funded by NSF, Dept of Transportation, DOE, and some industrial support ($1.7M). Recent awards to junior faculty have increased this figure.
Interested in discussing the research we are working on or learning more? Please contact:
Curators' Distinguished Professor and Associate Chair for Research
(573) 341-4856 | madrias@mst.edu |
319 Computer Science Building
Mobile Data Management, Cloud computing, Cyber Security, Wireless computing and Data Analytics.
Associate Chair for Academic Affairs & Associate Professor
(573) 341-4788 | tluo@mst.edu |
307 Computer Science Building
Trustworthy Artificial intelligence and Internet of Things (machine learning, cybersecurity, IoT)
Director of Professional Graduate Programs and Associate Teaching Professor
(573) 341-6350 | ricardom@mst.edu |
340 Computer Science Building
Introduction to Programming with C++, Data Structures, Discrete Mathematics For Computer Science, and Algorithms
Assistant Professor
(573) 341-4090 | nadendla@mst.edu |
313 Computer Science Building
Cyber-Physical-Human Systems; Statistical Inference & Machine Learning; Nudge & Persuasion; Security, Fairness, Transparency and Trust
Assistant Professor
(573) 341-4351 | astripathy@mst.edu |
310 Computer Science Building
Statistical Learning Theory, Adaptivity in Machine Learning
Associate Professor
(573) 341-4792 | satish.puri@mst.edu |
306 Computer Science Building
Parallel and Distributed Computing, High Performance Computing, GPU Computing, Similarity Search
Assistant Professor
(573) 341-4541 | hyang@mst.edu |
333 Computer Science Building
Assistant Professor
(573) 341-4406 | smaity@mst.edu |
335 Computer Science Building
Social Computing, Science of Science, Social NLP, Responsible Machine Learning
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