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Biswajit Biswal
Biswajit Biswal

Computer Science & MathematicsAssistant Professor of Computer Science237 Engineering and Computer Science Building803-536-8440

Biswajit Biswal

Dr. Biswal serves as an assistant professor of computer science focusing on Cybersecurity courses. He also handles any additional tasks assigned by the department chair.


  • Ph.D. (Computer Information and System Engineering), 2016, Tennessee State University, Nashville, TN
  • M.S. (Electrical Engineering), 2008, NYU Tandon School of Engineering, Brooklyn, NY
  • B.E. ( Medical Electronics Engineering), 2005, B.M.S. College of Engineering, Bangalore, India


Dr. Biswal has been a valuable member of SC State for over five years. As a dedicated researcher, he actively involves students in various research activities. His remarkable contributions have led to the successful acquisition of numerous funded grants in roles such as Principal Investigator (PI), Co-Principal Investigator (Co-PI), and Senior Personnel. Through his efforts, he enhances the research culture and academic opportunities at South Carolina State University.

Research Interests

Cybersecurity, AI/ML, Data Science, Blockchain, and Cloud Computing


CS 401 - Operating Systems

CS 420 - Computer Networks

CS 335 - Cryptography and Network Security

CS 460 - Senior Project


1. B. Biswal and S. Chestnut, ""DeepTrac: Applying Artificial Intelligence in Plant Disease Detection,"" SoutheastCon 2022, 2022, pp. 233-236, doi: 10.1109/SoutheastCon48659.2022.9763917. 2.Abdulkabir Bello, Biswajit Biswal, Sachin Shetty, Charles Kamhoua, and Kimberly Gold ""Radio frequency classification toolbox for drone detection"", Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110061Y (10 May 2019);   1. B. Biswal, A. Duncan, and Z.J. Sun, “ADA: Advanced Data Analytics Methods for Abnormal Frequent Episodes in the Baseline Data of ISD.” Nuclear Engineering and Technology. 2. Biswal, B. (2022, August), SSCTrac: AI-Powered Soil Moisture Condition Detection Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 3. Muallem, A., Shetty, S., Pan, J. W., Zhao, J., & Biswal, B. (2017). Hoeffding tree algorithms for anomaly detection in streaming datasets: A survey. Journal of Information Security, 8(4), 339-361. doi:10.4236/jis.2017.84022 4. Biswal, Biswajit & Shetty, Sachin & Rogers, Tamara. (2014). Enhanced learning classifier to locate data in cloud datacenters. International Journal of Metaheuristics. 4. 375-380. DOI:10.1109/CloudNet.2014.6969024