Artificial Intelligence and Data Science
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.
Learn more
Interested in discussing the research we are working on or learning more? Please contact:
Dr. Sanjay Madria
Curators' Distinguished Professor
(573) 341-4856 | madrias@mst.edu |
319 Computer Science Building
Areas of Interest
Mobile Data Management, Cloud computing, Cyber Security, Wireless computing and Data Analytics.
Dr. Ricardo Morales
Director of Professional Graduate Programs and Associate Teaching Professor
(573) 341-6350 | ricardom@mst.edu |
340 Computer Science Building
Areas of Interest
Introduction to Programming with C++, Data Structures, Discrete Mathematics For Computer Science, and Algorithms
Dr. Venkata Sriram Siddhardh Nadendla
Associate Professor and Associate Chair for Research
(573) 341-4090 | nadendla@mst.edu |
314 Computer Science Building
Areas of Interest
Cyber-Physical-Human Systems; Statistical Inference & Machine Learning; Nudge & Persuasion; Security, Fairness, Transparency and Trust
Dr. Satish Puri
Associate Professor and Associate Chair for Research
(573) 341-4792 | satish.puri@mst.edu |
306 Computer Science Building
Areas of Interest
Parallel and Distributed Computing, High Performance Computing, GPU Computing, Similarity Search
Dr. Huiyuan Yang
Assistant Professor
(573) 341-4541 | hyang@mst.edu |
333 Computer Science Building
Areas of Interest
Human-Centric AI, Multimodal Machine Learning, Machine Learning in Healthcare
Dr. Suman Maity
Assistant Professor
(573) 341-4406 | smaity@mst.edu |
335 Computer Science Building
Areas of Interest
Social Computing, Science of Science, Social NLP, Responsible Machine Learning