Theodore T. Allen
Decision Sciences · The Ohio State University
Publications
158
Citations
2,674
Est. group size
~1
Recurring co-author estimate
Active years
37
Publishing since 1989
Theodore T. Allen works in decision sciences, developing optimization, scheduling, and machine learning methods and applying them to varied real-world problems such as supply chain routing, healthcare training and hygiene, sports analytics, and quality engineering. His work often combines statistical experimental design and algorithm development (e.g., dynamic programming, classification trees, hyperparameter tuning) with practical case studies in industry and healthcare settings.
Publication output has fluctuated over the last decade, with a notable spike in 2018, a decline through 2021-2022, and a gradual increase again from 2023 to 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Dynamic programming-based exact and heuristic algorithms for single machine scheduling with sequence-dependent setups
Expert Systems with Applications · 2025
- Perfect shot reveal: Machine learning analysis of goal-scoring strategies in soccer
International Journal of Sports Science & Coaching · 2025
- EEG Connectivity as Predictor of ICAN ADHD Children’s Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses
Applied Psychophysiology and Biofeedback · 2025
- Using Machine Learning to Develop a Predictive Model of Infant Hypoglycemia Based on Maternal and Infant Variables in an Electronic Health Record
UNC Libraries · 2025
- Strategies for case-based training with virtual patients: An experimental study of the impact of integrating mental model articulation and self-reflection
Applied Ergonomics · 2024
- Optimal classification trees with leaf-branch and binary constraints
Computers & Operations Research · 2024
- Exploratory image data analysis for quality improvement hypothesis generation
Quality Engineering · 2024
- Innovative Integer Programming Software and Methods for Large-Scale Routing at DHL Supply Chain
INFORMS Journal on Applied Analytics · 2024
- Incorporating Augmented Reality Patients Into Online Trauma Training to Support Mental Model Development
Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2024
- A simulation study of touch-free automatic alcohol-based handrub dispensers on hand hygiene disruption in healthcare settings
Computers & Industrial Engineering · 2024
- Automated, rapid, and convergent hyperparameter optimizer (ARCH) for neural network classifiers
Quality Engineering · 2024
- Design and analysis of facility location experiments applied to sanitizer dispensers
Journal of Quality Technology · 2024
- Dynamic Programming-Based Exact and Heuristic Algorithms for Single Machine Scheduling with Sequence-Dependent Setups
SSRN Electronic Journal · 2024
- Dynamic Programming-Based Exact and Heuristic Algorithms for Single Machine Scheduling with Sequence-Dependent Setups
SSRN Electronic Journal · 2024
- Using Machine Learning to Develop a Predictive Model of Infant Hypoglycemia Based on Maternal and Infant Variables in an Electronic Health Record
Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care · 2023
- Computers & Industrial Engineering×6
- Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care×5
- SSRN Electronic Journal×5
- Quality Engineering×4
- Decision Analysis×2
- Dennis K. J. Lin
Decision Sciences · Purdue University West Lafayette
- William I. Notz
Decision Sciences · The Ohio State University
- Tena I. Katsaounis
Decision Sciences · The Ohio State University
- Jay I. Myung
Computer Science · The Ohio State University
- Susan R. Hunter
Decision Sciences · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile