Samah Senbel

Samah Senbel is an active faculty member in the School of Computer Science & Engineering at Sacred Heart University, specializing in interdisciplinary data science applications. Her research bridges computer science with sports analytics, healthcare diagnostics, and social systems through advanced machine learning techniques.

Her research interests focus on predictive modeling and performance analytics, particularly examining athletic performance metrics in Division 1 women's basketball through physiological monitoring (sleep, mental state, jump height). Additional research areas include healthcare diagnostics (liver disease prediction), social media analysis (COVID-19 vaccine sentiment), and agricultural/energy economics. Her methodology emphasizes Python-based data processing and visualization for real-world problem solving.

Publication trends reveal strong expertise in

• Sports Science: 7 articles (2021-2025) on basketball performance, weightlifting analytics, and Olympic participation
• Health Informatics: 4 articles on disease prediction, physical activity monitoring, and pandemic impacts
• Social Systems: 4 articles covering visa applications, traffic safety, and gender disparities

Her scientific contributions demonstrate consistent output with 12 peer-reviewed publications in 2025 alone, primarily in computer science and sports medicine journals.

Dr. Senbel leads research on athlete monitoring systems, developing methodologies to correlate training metrics with competitive outcomes. Her current projects include dynamic dashboards for basketball performance tracking and machine learning models for early disease detection.