Dr. Shashi Bhushan Jha
About
Dr. Shashi Bhushan Jha, Assistant Professor in the Department of Computer Science, received his Ph.D. in Electrical Engineering and Computer Science from Embry Riddle Aeronautical University in Daytona Beach, Florida. His research interests include automated defect detection, computer vision, deep learning, machine learning, and optimization. Dr. Jha is actively publishing peer-reviewed journal articles. His previous work was published in high-impact factor journals such as Computers in Industry, Computers & Industrial Engineering, and the Journal of Intelligent Manufacturing. In addition, Dr. Jha serves as a reviewer for various journals, including CAIE, Information Sciences, and IEEE SMCHe, teaching graduate and undergraduate computer science courses and mentoring students on their capstone projects. Dr. Jha's industry experience includes a role as a research intern at Cash App @ Block Inc., where he collaborated with cross-functional teams to analyze large datasets and develop advanced machine-learning models.
Research Performance Summary
First Recorded Paper
Dual market facility network design under bounded rationality
Year: 2018
Citations: 17
Venue: Algorithms 11 (4)
Latest Recorded Paper
A Novel Parallel Multi-Stage Architecture for Network Intrusion Detection
Year: 2025
Citations: 0
Venue: Available at SSRN 5387798
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.