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.

01

Predictive Modeling

Classification, ranking, ensemble learning, model evaluation, and decision support with attention to operational consequences.

02

Applied AI

Applied and generative AI for organizational decision-making, education, workflow design, and responsible implementation.

03

Analytics & Operations

Data analytics, visualization, forecasting, simulation, optimization, and operational research grounded in real-world processes.

PUBLICATIONS

Selected published work.

2026IEEE Access

Predictive Gains and Governance Trade-Offs in Socioeconomic Automobile Repossession Modeling

Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.

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2026IEEE IRI

A CatBoost-Based Ablation Study of Scheduling Heuristics in Automobile Repossession

Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar. Pages 298–303.

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2026IEEE Access

Assessing Skip-Tracing Information in Repossession Prediction Using Ensemble Learning and SHAP Analysis

Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.

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2026Review of Business Information Systems

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.

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2026Sage Social Impact Essentials

Scaling Responsibly at Adventure Works Cycles: Relational Analytics, Forecasting, and Strategic Decision Making

Andy Sinclair.

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2026Sage Social Impact Essentials

ZIP Code Data and AI for Reducing Vehicle Repossession: A Social Impact Exercise in the Philadelphia Area

Andy Sinclair.

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2026Journal of Big Data

Predictive Modeling for Auto Repossession Success: A Comparative Evaluation

Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.

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2026Sage Social Impact Essentials

EcoMotors: Data-Driven Strategy for EV Market Entry

Andy Sinclair.

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2025IEEE CogMI

Unlocking Machine Learning Insights into a Novel Auto Repossession Dataset

Andy Sinclair, Preston Billion-Polak, and Taghi M. Khoshgoftaar.

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2025IEEE ICMLA

Applying Machine Learning to Classify Automobile Repossession Success

Preston Billion-Polak, Andy Sinclair, and Taghi M. Khoshgoftaar.

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2025Sage

International Recovery Systems: The Capacity Challenge of an Auto-Repossession Company

S. Shokoohyar, Andy Sinclair, J. Cross, J. Blacksten, and B. Zachariah.

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2024IEEE

A decision support system for customer behavior analysis through social media data mining

Z. Kidesh, E. Nikookar, S. Shokoohyar, Andy Sinclair, and K. Aminbeidokhti.

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2023Sage

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.

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2023Taylor & Francis

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.

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For conference presentations, teaching experience, awards, and additional academic activity, see the full curriculum vitae.