research

Causal Inference, Computing for mHealth, Structural Causal Models, Transportability, Experimental Studies, Electronic Health Records, Artificial Intelligence, Machine Learning, Data Science, public health, health informatics, AI in Healthcare

I was introduced to the world of Causal Inference (by Dr. Adibuzzaman) in 2018. I was immediately hooked to the fascinating works of Pearl, Elias, Rubin, Hernan, and many other researchers working relentlessly in this field. It has been a rabbit hole from there, and the more I learn, the more I find there is left to answer. I firmly believe Causal Inference is going to be one of the strongest pillars of data science in the next decades, and that is why I have decided to pursue this and make it my Ph.D. dissertation work.

During my Ph.D., I have worked closely under the supervision of my Ph.D. Supervisor, Dr. Sheikh Iqbal Ahamed, and with direct guidance from Dr. Mohammad Adibuzzaman, In the past, I have worked on multiple projects involving mobile health and computing, ubiquitous computing, crisis management, etc.

Other than these, I have worked on couple of other projects in mHealth, involving Family Self-management Intervention, Veteran Crisis Management, Diabetic Retinopathy, Electronic Palliative Care, and some others.

Click on the links to view: a list of my publications, and, a list of additional projects I have worked on.