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Dr. Sonya Hsu is a dynamic and experienced scientist with a proven academic track record as an associate professor in the School of Computing and Informatics at the University of Louisiana Lafayette. Possesses strong administrative, negotiation, and logistics management skills, complemented by expertise in analytics, machine learning, S/4HANA, and ERP configuration. Her research focuses on health/business informatics, quantitative methods, and IT operational excellence in healthcare and business. Her quality publications are in the Journal of Business Research, Information & Management, and HICSS conferences. She was a recognized Fulbright Specialist working on an IoMT project in ERs in Malaysia and was awarded a Fulbright scholarship in Romania.

Ph.D. in Management Information Systems
Southern Illinois University

M.A. in Telecommunication
Michigan State University

• IT Operations in Healthcare
• Applied Computing in Business Operations
• Data/information Security in Distributed Computing

• VS Tida, S Hsu, X Hei (2024). A Unified Training Process for Fake News Detection Based on Finetuned Bidirectional Encoder Representation from Transformers Model, Big Data 12 (4), 331‐342.
• Vijay Tida, Sharon Hei, Sonya Hsu (2023). Privacy-Preserving Deep Learning Model for Covid-19 Disease Detection. Hawaii International Conference on System Sciences 56, 2023.
• Vijay Tida, Sharon Hei, Sonya Hsu (2023). Kernel-Segregated Transpose Convolution Operation. Hawaii International Conference on System Sciences 56, 2023.
• Rodrigue Rizk, Dominik Rizk, Fredric Rizk and Sonya Hsu (2023). 280 Characters to the White House: Predicting 2020 US Presidential Elections from Twitter Data, Computational and Mathematical Organization Theory, 29 (4), 542-569.
• Vijay Tida, Sonya Hsu (2022). Universal Spam Detection using Transfer Learning of BERT Model, Hawaii International Conference on System Sciences‐55, 2022.