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.

Publications

Complete list of my publications, so far.

Presentations and Posters

• Presentation slides for invited talk on “Introduction to Causal Inference” for COSC 5931/4931 Machine Learning Principles, Spring 2021 at Marquette University
• Poster and recorded talk for “A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model” in MLHC 2020
• Presentation slides for “Analyzing Happiness: Investigation on Happy Moments using a Bag-of-words Approach and Related Ethical Discussions” in Compsac 2019
• Presentation slides for “Towards Predicting Risky Behavior among Veterans with PTSD by Analyzing Gesture Patterns” in Compsac 2019
• Poster for ““Is Haloperidol effective in Delirium treatment?”: Answering Treatment and Policy Controversies in Healthcare through Prior Knowledge-driven Structural Causal Model Generation” in Forward Thinking Poster Session 2020
• Poster for “Causal Exploration on Large Healthcare Datasets through Emulation of Randomized Controlled Trials: An Application on Delirium Patients in the ICU” in Forward Thinking Poster Session 2019
• Poster for “MARQUECare: Information Technology Tools and a System for Palliative Care for Everyone” in Healthy People on a Healthy Planet Conference
• Poster for “Non-invasive Human Identification using Wi-fi Signals” in Forward Thinking Poster Session 2017

Open Source Projects

• BottomNavBar (~200 Stars)
  • Android library to add bottom navigation bar to application
• FormMaster (~150 Stars)
  • Android library to easily build and use larger forms

Live Applications

• Harriken (Restaurant discovery android app based in Dhaka, Bangladesh)
• Meghdut Fieldforce (Field-level task distribution and management app, for android)
• [APPothecary] (Android app for healthcare: medicine, doctor, reminder management)
• [QRF Mentor and Veteran] (Android client for collaboration and communication between peer mentors and veterans)
• World-in-360 (Web application to showcase 360 degree panaromic images)
• Stay Focused (Goal-focused to-do list android app with reminders)