News!

Our research in biomanufacturing is featured by the OU Bioprocessing Core Facility [Link]

Abrar has been selected as the finalist for the Three Minute Thesis (3MT) competition. Congratulations to Abrar!

Azmayn Inkishaf has defended his MS thesis on April 23rd on "Smart Policy Design for COVID-19: A Deep Reinforcement Learning Framework."

Leama Tah has defended her MS thesis on April 21th on "Prediction of LOS Among Preeclamptic Patients Using Supervised Learning Methods."

Rachel has presented a poster at OU Norman DISC Inaugural Data Science Symposium on March 26, 2025 on "Identifying Patterns of Suboptimal Follow-Up Care Among Childhood Cancer Survivors Using Survival Analysis Models."

Leama has presented a poster at OU Norman DISC Inaugural Data Science Symposium on March 26, 2025 on "Prediction of LOS Among Preeclamptic Patients Using Supervised Learning Methods."

Our paper "Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts" got accepted to be published in IEEE Access. Thanks to Rachel (PhD student) to lead this work!

Our paper "Hierarchical Time Series Forecasting of COVID-19 Cases Using County-level Clustering Data" got accepted to be published in Operations Research Forum. Thanks to Sonaxy (Ms student) and Airi (PhD student) to work on this work!

Our new paper led by PhD student, Rachel Bennett, is published "Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions" in Dynamics of Disasters: From Natural Phenomena to Human Activity, Dec 2024.

Our new paper is published "Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations" in Dynamics of Disasters: From Natural Phenomena to Human Activity, Dec 2024.

Talayeh Razzaghi is elected by INFORMS as the Senior Member on Dec 17, 2024.

Talayeh Razzaghi has contributed to an article entitled: "Advancing Biomanufacturing Excellence Through Artificial Intelligence" in https://cytovance.com/news-articles/advancing-biomanufacturing-excellence-through-artificial-intelligence/ 

Talayeh Razzaghi is featured in the latest Sooner Magazine: https://lnkd.in/giZzkDYX

Talayeh Razzaghi has presented a talk on "Scalable and Trustworthy Deep Neural Networks: Application to Early Prediction of Preeclampsia" as a guest speaker at the George Mason University, Department of Systems Engineering and Operations Research Seminar Series on Nov 15, 2024.  

Paul Okafor has defended his MS thesis on "Bioprocess monitoring in the biopharmaceutical industry using filtering and online cost-sensitive supervised learning" on Nov 11, 2024.

Our paper titled "Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering Techniques" has been accepted as a **regular paper** for the 2024 IEEE International Conference on Big Data.

Rachel Bennett has presented a talk at the 2024 INFORMS Annual Meeting on "Scalable and Trustworthy Deep Neural Networks" in Seattle, Washington on Oct 21, 2024.

Rachel Bennett has presented a poster at the 2024 INFORMS Annual Meeting at MIF Division on "Fair Multilevel Neural Networks" in Seattle, Washington on Oct 21, 2024.

Talayeh Razzaghi has presented a talk as a guest speaker at the 2024 Oklahoma Conference for Statistics, Biostatistics, and Data Science, Oklahoma City, Oklahoma, Oct 15, 2024. The title of her talk is "Scalable and Trustworthy Deep Neural Networks: Application to Early Prediction of Preeclampsia."