SMU Data Science Review
Volume 9, Number 3 (2025) Fall 2025
Articles
Reducing Range Anxiety through Predictive Modeling of EV Battery Degradation
Caleb Thornsbury, Christian Castro, and Bivin Sadler
Application of Open-Source Small Large Language Models for Finance report analysis
Tue Vu, Mark Austin, and Marcel Tuijn
Availability Model to Evaluate AI Data Centers’ Role in Grid Stability
Troy McSimov, Trevor S. Kunz, and Jeffrey Billo
A Modular Framework for Cost-Efficient Aspect-Based Sentiment Analysis Using Small Language Models
Senthil Kumar and Nibhrat Lohia
Anomaly Detection for Multi-System Bug Triage
Gibran Miguel Zavala Gamero, Hayoung Cheon, and Mustafa Iqbal
Virtual AI Lifestyle Assistant
Solomon T. Mathew and Babu T. Mathew
Automating Cardiff Model Data Capture in Emergency Departments: Ambient NLP Integration with Oracle-Cerner FHIR Systems
Simi Augustine, Marco A. Lopez, Jacquelyn Cheun, and Chris Papesh
NLP Bias and African American English
Kenya Roy and Faizan Javed
Bias Evaluation of Healthcare Data with the use of VBQA - a VAERS Inspired Bias Question Answer Dataset
Nolan Dulude, Renu Karthikeyan, Bivin Sadler, and Faizan Javed
AI-Powered Reporting for Improved Hospital Efficiency
Joel C. Laskow, Chris Papesh, Srishti Awasthi, and Jacquelyn Cheun
Predicting House Prices Using Machine Learning
Pejal Rath and Robert Slater
Molecular Quantum Particle Algorithm (MQPA): Hybrid Quantum-Classical Learning for Molecular Property Prediction
Jessica Mcphaul and Bivin Sadler Ph.D.
