The University of Northumbria at Newcastle, UK
Thesis Title: “Computational Models to Demonstrate the Effects of Maspin on Tumour Growth”.
Thesis Advisors: Prof Alamgir Hossain, Dr. Rosemary Bass, and Dr. Charles Fall
University of Liberal Arts Bangladesh, Bangladesh
Thesis Title: Design of a Simple Low-cost Rectenna for Low Power RFID Wireless Power Transmission Applications
Thesis Advisor: Prof Rezaul Karim Mazumder
Current appointment
Teaching and Research responsibilities (50% teaching + 50% research):
-Teaching health data science and public health courses
-Supervising health outcomes pharmacy graduate students
-Programming, management, and analysis of health databases (OPTUM) and health informatics
-Overseeing the dedicated OPTUM claim data server and training students and faculties in data science methods
-Collaborate with faculty in the design, creation analysis of project-specific data for grant submissions
Appointments held
(Pitzer Lab, Project: Rotavirus vaccine effectiveness and impact in Bangladesh and other developing countries-project NIH funded)
Research interest and agenda:
-Heterogeneity in rota virus transmission dynamics both in developed and developing country settings
-Measuring direct and indirect impacts of rotavirus vaccine in developing country setting
-Multiscale modelling: Individual-based models, compartmental models and dynamic models of infectious disease
-Statistical modelling: Regression models, mixed models, survival analysis
-Parameter estimation: MCMC, OLS methods
Grohn’s Lab, Project: US-UK collab: mycobacterial transmission dynamics in agricultural systems: integrating phylogenetic, epidemiology, ecology and economics. USDA- NIFA Award no: 72159. )
Research interest and agenda:
-Modelling and risk analysis of Paratuberculosis and bovine TB dynamics
-Economic decision models: dynamics models and compartmental models
-Developed livestock models and decision support tools for managements
-Pattern analysis of antimicrobial resistance changes in USA using machine learning technique
Project title: Online intelligent decision support system to improve the treatment of necrotising entrocolitis (NEC) and Sepsis for very low birth weight premature babies