Anjolaoluwa Popoola

Research

My aim is to further develop and apply machine learning algorithms to address complex challenges in healthcare, humanitarian efforts, and other sectors such as energy, sustainability, etc.

Research Interests:

  • Healthcare Analytics
  • Social Welfare and Public Policy
  • AI for Social Good
  • Business Analytics and Operations Management

Methodological Interests:

  • Machine Learning and AI: Deep Learning, Ensemble Methods, Interpretable AI, High Dimensional Data Analysis.
  • Signals processing and Dynamic Systems Modeling: Kalman Filters,Particle Filters, Hidden Markov Models, etc.
  • Optimization: Convex optimization, Decision-focused Learning, Sequential Decision-Making, Mixed Integer Programming

Publications

Popoola, A., Frediani, J., Hartman, T. and Paynabar, K. (2023). Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.. Georgia Institute of Technology, Emory University, GA, USA. BMC Medical Informatics and Decision Making Journal DOI: 10.1186/s12911-023-02262-9 .

Owosela B., Popoola, A., Kedar S. (2024). Generative Adversarial Networks in Ophthalmology. Emory University, Georgia Institute of Technology, Atlanta, GA, USA. North American Neuro-Ophthalmology society ARK: ark:/87278/s6nshzwq.

Work In Progress

Popoola, A., Kazemian, P., and Paynabar, K. Personalized Prediction and Control of Blood Glucose Levels using Dynamic System Modeling.. Georgia Institute of Technology, Case Western Reserve University, USA.

Popoola, A., Bugg, C., Garcia, G., and Paynabar, K. Reducing Homelessness Among Foster Care Youth: A Predictive Approach Using Ensemble Methods. Georgia Institute of Technology, Atlanta, GA, USA.

Conference Presentations

Popoola, A., Kazemian, P., and Paynabar, K. (2024). Personalized Prediction and Control of Blood Glucose Levels using Dynamic System Modeling. INFORMS 2024 Annual Meeting, Seattle, WA.

Popoola, A., Bugg, C., Garcia, G., and Paynabar, K. (2024). Reducing Homelessness Among Foster Care Youth: A Predictive Approach Using Ensemble Methods. Third annual workshop on AI and Analytics for Social Good, College Park, MD, United States.

Popoola, A., McNealey, A., Duhart, A. and Mullins, C. (2024). Bridging Dreams and Realities: iExperience High School Initiative Introducing Students to Industrial & Systems Engineering at Georgia Tech. Southeastern College Learning Center Association Conference, NC.

Popoola, A., Frediani, J., Hartman, T., and Paynabar, K. (2023). Mitigating Underreported Error in Food Frequency Questionnaire Data Using a Supervised Machine Learning Method and Error Adjustment Algorithm. INFORMS 2023 Annual Meeting, Phoenix, AZ.

Popoola, A., Frediani, J., Hartman, T., and Paynabar, K. (2023, Session Chair). Mitigating Underreported Error in Food Frequency Questionnaire Data Using a Supervised Machine Learning Method and Error Adjustment Algorithm. IISE 2023 Annual Meeting, New Orleans, LA.

Strickland, D. and Popoola, A. (2022). Creating an Inclusive Classroom Learning Experience. INFORMS 2022 Annual Meeting, Indianapolis, IN.

Conference Posters

Popoola, A., Frediani, J., Hartman, T., and Paynabar, K. (2023). Mitigating Underreported Error in Food Frequency Questionnaire Data Using a Supervised Machine Learning Method and Error Adjustment Algorithm. Trailblazers in Engineering Program, West Lafayette, IN.

Smith, J., Popoola, A., Garcia. D., and Gray, M. (2019). Farm Area Rapid Transit: A Case for Poultry Powered Transportation. Transportation Research Board Conference, Washington, DC.

Joerger, R. and Popoola, A. (2017). Prevention of Listeria Monocytogenes Transmission from Biofilm to Produce. Lincoln University Science Fair, Oxford, PA.

Joerger, R. and Popoola, A. (2017). Prevention of Listeria Monocytogenes Transmission from Biofilm to Produce. University of Delaware Undergraduate Research Symposium, Newark, DE.