Research¶
Overview¶
My research sits at the intersection of optimization, artificial intelligence, and sustainability, tackling problems where uncertainty, complexity, and real-world constraints demand rigorous, scalable solutions.
Core areas of focus include enterprise-wide optimization under uncertainty, integrated process models (spanning control, scheduling, and planning), agent-based modeling, interpretable machine learning, and sustainability analysis via LCA/TEA.
Research Themes¶
1. Optimization Under Uncertainty¶
Developing mathematical frameworks that account for the inherent unpredictability of real-world systems.
- Partial disruption modeling for supply chains using stochastic programming
- Mixed-integer optimization under uncertainty for robust planning and resource allocation
- Focus on capturing disruption spectra rather than binary failure assumptions
Key Contribution
A novel partial disruption model for pharmaceutical supply chains that reveals hidden risk exposure missed by traditional total-disruption approaches.
2. Integrated Systems Modeling¶
Building models that bridge traditionally siloed decision layers, from real-time control to long-term strategic planning.
- Multi-agent systems for complex matching and allocation problems
- Advisor-student matching optimization using agent-based simulation
- Integration of scheduling, planning, and control into unified decision frameworks
Key Contribution
An agent-based simulation framework for graduate advisor-student matching that systematically outperforms ad hoc and purely preference-based approaches.
3. Sustainability & Decision Support¶
Quantifying environmental and economic trade-offs to support strategic decision-making in industrial contexts.
- Life Cycle Assessment (LCA) and Techno-Economic Analysis (TEA) for process evaluation
- AWARE water footprint methodology for water-intensive industries
- Decision support tools that integrate sustainability metrics into capital allocation
Key Contribution
Integrated LCA/TEA models revealing scenarios where sustainability improvements align with cost reductions, and identifying decision boundaries where trade-offs become unavoidable.
Selected Publications¶
| Publication | Venue | Link |
|---|---|---|
| Partial Disruption Modeling for Pharmaceutical Supply Chains | In progress | Coming soon |
| Agent-Based Advisor-Student Matching | In progress | Coming soon |
| Sustainability Analysis via LCA/TEA | In progress | Coming soon |
View Full Profile on Google Scholar
Cite This Work¶
BibTeX — Partial Disruption Modeling for Pharmaceutical Supply Chains
@article{badejo2025partialdisruption,
title = {Partial Disruption Modeling for Pharmaceutical Supply Chains},
author = {Badejo, Oluwadare},
year = {2025},
note = {In progress},
url = {https://Dare-Badejo-001.github.io/research/}
}
BibTeX — Agent-Based Advisor-Student Matching
@article{badejo2025agentmatching,
title = {Agent-Based Advisor-Student Matching Optimization},
author = {Badejo, Oluwadare},
year = {2025},
note = {In progress},
url = {https://Dare-Badejo-001.github.io/research/}
}
BibTeX — Sustainability Analysis via LCA/TEA
@article{badejo2025lcatea,
title = {Sustainability Analysis via Integrated LCA/TEA Models},
author = {Badejo, Oluwadare},
year = {2025},
note = {In progress},
url = {https://Dare-Badejo-001.github.io/research/}
}