Dr. Vasileios Pavlopoulos

Assistant Professor, Management Science

Contact

301 Sparkman Drive
Business Administration Building
Room 345
Huntsville, AL 35899
Campus Map

256.824.6598
vasileios.pavlopoulos@uah.edu

Biography

Dr. Pavlopoulos is an assistant professor of Management Science in the Department of Information Systems, Supply Chain, and Analytics. His expertise lies in the intersection of computational procedures and statistical methodologies. With a keen focus on the analysis of chronological data, he develops advanced models to detect and estimate critical points of interest. His research focuses on understanding complex systems and improving decision-making processes.

Curriculum Vitae

Education

  • Ph.D., Operations and Management Science, Washington State University, 2023
  • M.S., Business Administration, Washington State University, 2022
  • M.S., Statistics, Washington State University, 2020
  • B.S. & M.S., Electrical and Computer Engineering, University of Patras, 2017

Expertise

  • Change Point Analysis
  • Stock Market Data Applications
  • Time Series Analysis

Recent Publications

  • Pham H., Arwade G., Tan Y., Bhatt P., Pavlopoulos V. (2026). “Training Data Optimization for Classification via Weighted Dimensional Reduction and Adaptive Stratified Clustering for Balanced and Imbalanced Data”. Journal of Classification (pending publication).

  • Can E., Mark W.N., Pavlopoulos V. (2026). “The Effects of Sports Betting on Casino Gambling and Lottery”. Southern Economic Journal (pending publication).

  • Pham H., Pavlopoulos V., Patnayakuni R. (2025). “The Hidden Keywords: An Algorithmic Approach to Uncovering the Value of Negative Keywords in Search Advertising”. Decision Sciences Journal.

  • Bhatt, P., Singh, T., Pavlopoulos, V., & Pham, H. (2025). “Decoding Sentiments: Unveiling AI-Generated Content Through Sentiment Analysis and Human Evaluation”. Journal of Global Information Management, 33(1).

  • Tan Y., Orman W., Pavlopoulos V., Hieu Pham, Ravi Patnayakuni. (2025). “Transforming Student Data into Timely Interventions: A Dynamic Bayesian Network Decision Support System”. International Journal of Knowledge Management.

  • Pham H., Bhatt P., Pavlopoulos V., Tan Y., Patnayakuni R. “A Comparative Study of Convolutional Neural Networks and Vision Transformers for Agricultural Image Classification”. Journal of Database Management.

  • Pham H., Tan Y., Singh T., Pavlopoulos V., & Patnayakuni R. (2024). “A multi-head attention-like feature selection approach for tabular data”. Knowledge-Based Systems, 301, 112250.

  • Fotopoulos, St., Kaul A., Pavlopoulos, V., St., Jandhyala, V. K., “Adaptive Parametric Change Point Inference under Covariance Structure Changes.” The Statistical Papers.