01
Predictive Modeling
Classification, ranking, ensemble learning, model evaluation, and decision support with attention to operational consequences.
RESEARCH & PUBLICATIONS
Applied research built around real decisions.
My research focuses on machine learning, applied AI, predictive modeling, analytics, and operational decision support. Much of my work examines the automobile repossession industry, where model performance has to be considered alongside workflow, interpretability, governance, and practical use.
This page brings together selected published articles, conference papers, and research or teaching cases. DOI and publisher links point to the authoritative record for each work.
RESEARCH FOCUS
Machine learning, AI, and analytics for operational decisions.
02
Applied AI
Applied and generative AI for organizational decision-making, education, workflow design, and responsible implementation.
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Analytics & Operations
Data analytics, visualization, forecasting, simulation, optimization, and operational research grounded in real-world processes.
PUBLICATIONS
Selected published work.
Predictive Gains and Governance Trade-Offs in Socioeconomic Automobile Repossession Modeling
Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.
A CatBoost-Based Ablation Study of Scheduling Heuristics in Automobile Repossession
Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar. Pages 298–303.
Assessing Skip-Tracing Information in Repossession Prediction Using Ensemble Learning and SHAP Analysis
Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.
Fuel Costs and the EV Conversation: Tracking Public Sentiment Through Social Media
S. Shokoohyar, V. Ghomi, W. Liang, Andy Sinclair, and C. Evert. Volume 26, Issue 1.
Scaling Responsibly at Adventure Works Cycles: Relational Analytics, Forecasting, and Strategic Decision Making
Andy Sinclair.
ZIP Code Data and AI for Reducing Vehicle Repossession: A Social Impact Exercise in the Philadelphia Area
Andy Sinclair.
Predictive Modeling for Auto Repossession Success: A Comparative Evaluation
Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.
EcoMotors: Data-Driven Strategy for EV Market Entry
Andy Sinclair.
Unlocking Machine Learning Insights into a Novel Auto Repossession Dataset
Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.
Applying Machine Learning to Classify Automobile Repossession Success
Preston Billion-Polak, Andy Sinclair, and Taghi M. Khoshgoftaar.
International Recovery Systems: The Capacity Challenge of an Auto-Repossession Company
S. Shokoohyar, Andy Sinclair, J. Cross, J. Blacksten, and B. Zachariah.
A decision support system for customer behavior analysis through social media data mining
Z. Kidesh, E. Nikookar, S. Shokoohyar, Andy Sinclair, and K. Aminbeidokhti.
Auto Repossession Agencies: Why Are They Leaving the Industry and What Can They Do to Remain in Business
S. Shokoohyar, J. Cross, Andy Sinclair, C. Evert, and A. Gorizi.
Impact of COVID-19 outbreak and vaccination on ride-sharing services: A social media analysis
S. Shokoohyar, V. Ghomi, A. Gorizi, A. Liang, and Andy Sinclair.
For conference presentations, teaching experience, awards, and additional academic activity, see the full curriculum vitae.