Scalable Data Science (SDS) Lab


The research focus of the SDS Lab is to develop scalable algorithms, techniques, and systems for gaining insights from massive datasets in domains such as ecommerce, social media, healthcare, and defense applications. This demands new innovations in data and knowledge management, information retrieval, and machine learning. The lab has expertise in big data and scalable/cluster computing technologies. It also focuses on applications of machine learning and deep learning techniques to solve challenging problems in cybersecurity (e.g., on social media), healthcare (e.g., digital pathology, precision health), and sustainable design.

Publications           Funding


352 Naka Hall

Department of Electrical Engineering & Computer Science

University of Missouri




Computer Science PhD Students

Informatics PhD Students

Computer Science MS Students

BS Students



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Interested in joining the lab?

We are always looking for highly motivated and talented students. If interested, please contact Dr. Praveen Rao.