2024
My doctoral research focuses on the nexus of applied statistics and deep learning with differential privacy. In the current Ph.D. project funded by National Science Foundation(NSF), I am working to develop a deep learning model which can objectively quantify clinical trials' outcomes and cognitive assessment. In another recent Ph.D. project funded by the National Institute of Health(NIH), I have looked into how pregnancy(yes/no) effect the DNAm of the pregnancy and birth using survival analysis/linear regression. I aim to build state-of-the-art statistical machine learning and deep learning models to solve issues from the internet of things(IoT), social science, learning science, public health, and consumer behavior.
Research Themes:
Statistical ML, Deep Learning with Differential Privacy(DP), Others:
Research papers:
AI and Cognitive Diagnostic Modeling:
Research papers:
Applied Statistics, Bayesian Inference, and Biostatistics:
Research papers:
Consumer Behavior, and AI in Marketing:
Research papers:
2022
2021
2020
2019
2018
2017 & Beyond:
- Gueorguieva PJ, Hasan Mahbubul, Reed E. Obstetrics Team Satisfaction, Communication and Readiness for Emergencies Through Dedicated Simulations: Quality Improvement Project. Scientific Day. May 2024.
- Kazmi SH, Hasan Mahbubul, Youskievicz S, Vazzalwar R, Prazad P. Correlation of Oxygen Saturation Index and Oxygenation Index in Neonates With Persistent Pulmonary Hypertension Treated With Inhaled Nitric Oxide. Scientific Day. May 2024.
- Studebaker N, Oram R, Marsh M, Henschen E, Hasan Mahbubul, et al. PO and GO: Improving Pediatric Antibiotic Stewardship at Hospital Discharge. Scientific Day. May 2024.
- Krasity B, Hasan Mahbubul, Uppuluri S, Prazad P. Standardization of Urinary Tract Infection Diagnosis in the Neonatal ICU: Experience at a Tertiary Care Center. Advocate GME. February 2024. [Link to Full Text].
- Studebaker N, Oram R, Marsh M, Henschen E, Hasan Mahbubul, et al. Antibiotic Appropriateness at Hospital Discharge: An Opportunity for Stewardship. Scientific Day. May 2024.
- Nezon D, Okafor C, Hasan Mahbubul, Park M, McKenzie Gupta S. Comprehension of Pediatric Discharge Instructions: Do Gaps Exist for Caregivers Who Prefer to Communicate in a Language Other Than English? Scientific Day. May 2024.
My doctoral research focuses on the nexus of applied statistics and deep learning with differential privacy. In the current Ph.D. project funded by National Science Foundation(NSF), I am working to develop a deep learning model which can objectively quantify clinical trials' outcomes and cognitive assessment. In another recent Ph.D. project funded by the National Institute of Health(NIH), I have looked into how pregnancy(yes/no) effect the DNAm of the pregnancy and birth using survival analysis/linear regression. I aim to build state-of-the-art statistical machine learning and deep learning models to solve issues from the internet of things(IoT), social science, learning science, public health, and consumer behavior.
Research Themes:
Statistical ML, Deep Learning with Differential Privacy(DP), Others:
Research papers:
AI and Cognitive Diagnostic Modeling:
Research papers:
Applied Statistics, Bayesian Inference, and Biostatistics:
Research papers:
Consumer Behavior, and AI in Marketing:
Research papers:
2022
2021
2020
2019
2018
2017 & Beyond:
