Shashi Bhushan Jha

Dr. Shashi Bhushan Jha is an Assistant Professor in the Department of Computer Science at the University of West Florida, part of the Hal Marcus College of Science and Engineering. He holds a Ph.D. in Electrical Engineering and Computer Science from Embry-Riddle Aeronautical University and teaches undergraduate and graduate courses such as Data Structures and Algorithms and Data Mining.

Education:

• Ph.D., Electrical Engineering and Computer Science, Embry-Riddle Aeronautical University, 2023
• M.S., Indian Institute of Technology Kharagpur, India, 2018
• B.E., Nagpur University, India, 2013

His research centers on automated defect detection, computer vision, deep learning, machine learning, and optimization, with extensions into graph machine learning, data mining, sustainable computing, and cybersecurity. He applies these areas to industrial and societal problems such as visual inspection systems and real estate forecasting.

His recent publications span high-impact journals and arXiv preprints, focusing on CNN-based defect detection, housing market prediction, and improvements in CNN model performance using image gradients. These works reflect a strong trend in applying deep learning to real-world data analysis and industrial automation.

Dr. Jha actively serves as a reviewer for leading journals including Computers & Industrial Engineering, Information Sciences, and IEEE SMC, contributing to academic rigor in his field.

He mentors students on capstone projects and has secured research experience through an industry internship at Cash App @ Block Inc., where he developed machine learning models using large datasets in collaboration with cross-functional teams. No formal grants are mentioned, but his applied research suggests strong industry-academia engagement.

Dr. Jha is involved in research groups related to Artificial Intelligence and High-Performance Computing at UWF, contributing to ongoing projects in smart systems and scalable computing solutions.