Somya Mohanty

Assistant Professor, 2016
Ph.D. in Computer Science and Engineering, Mississippi State University (2013)

Office: Petty 164

Research: Big-Data, Machine Learning, Data Science, Cyber-Security, Trustworthy Computing.
Teaching: Data Science, Principles of Operating Systems

Research Overview

Dr. Mohanty’s research interests are the development of new methods, algorithms, and systems applicable for mining, analyzing, and visualizing large-scale complex datasets (“Big Data”). Specifically, his research focuses on development of predictive models and novel algorithms for real-time analysis in very high-throughput systems, and creating decision engines based on such systems. The research efforts has found its applicability in a wide range of areas such as predicting the states of network traffic in internet scale models, understanding natural language in structured and unstructured text, leveraging the utility of social media during disaster events, and developing a deeper understanding of patient health using electronic medical records. Apart from the data driven research, Dr. Mohanty is also working on research which involves assuring privacy and security in information/compute systems by developing efficient trusted platforms.

Research Support

Dr. Mohanty’s research has been funded by National Oceanic and Atmospheric Administration (NOAA), Department of Energy (DoE), National Institute of Justice (NIJ), National Science Foundation (NSF), Microsoft, National Endowment for the Humanities (NEH), Mississippi State Department of Health (MSDH), and Mississippi Agriculture and Forestry Experiment Station (MAFES).


Dr. Somya Mohanty joined the University of North Carolina at Greensboro in 2016, as an Assistant Professor in the Department of Computer Science. Prior to this, he worked as an Assistant Research Professor and lead the Innovative Data Laboratory at Social Science Research Center at Mississippi State University. He received his B.S. in Computer Science and Engineering from Berhampur University, his M.S. in Computer Science from Florida State University, and his Ph.D. degree in Computer Science and Engineering from Mississippi State University.