Riddhiman Adib, Ph.D. (he/him)

  • Sr. Research Engineer, Oregon Clinical and Translational Research Institute

Biography

I am currently an Sr. Research Engineer at Oregon Clinical & Translational Research Institute (OCTRI) in Oregon Health & Science University (OHSU), Portland, Oregon, U.S.A. I am also a Marquette alumni, an ex-BUETian, and an ex-cadet.

My research area aims to apply data-driven causal explorations; my vision is to improve public health, health informatics, and overall healthcare research. AI in Healthcare is an evolving and ever-expanding discipline, and I would love to contribute to that with the bit of knowledge and ideas I have. Currently, I am actively working in the field of Causal Inference; my primary focus is to apply Causal Inference and related theories in exploring cause-and-effect relationships in experimental and observational datasets.

Apart from the research works, I enjoy my free time mostly by singing. My other hobbies include reading thriller books, playing guitar, experimenting with electronics and electronic gadgets, playing board games, playing basketball, gaming on my PS5, hiking, and some more.

Education and training

    • Ph.D., 2022, Marquette University
    • M.S., 2020, Marquette University
    • B.Sc., 2015, Bangladesh University of Engineering & Technology

  • Internship

    • Visiting Scholar (Summer Research Intern), Regenstrief Centre for Healthcare Engineering, Purdue University, June 2019–July 2019

Areas of interest

  • Machine Learning
  • Causal Inference
  • A/B Testing (Experiment design)
  • Electronic Healthcare Records
  • Health Informatics
  • Data Science for Healthcare

Publications

Selected publications

  • Adib, R., Griffin, P., Ahamed, S. I., & Adibuzzaman, M. (2020, September). A causally formulated hazard ratio estimation through backdoor adjustment on structural causal model. In Machine Learning for Healthcare Conference. PMLR.
  • Adib, R., Gani, M. O., Ahamed, S. I., & Adibuzzaman, M. (2022). Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset. arXiv preprint arXiv:2205.01057. (Under review in Nature Scientific Reports)
  • Adib, R., Naved, M. M. A., Fang, C. H., Gani, M. O., Grama, A., Griffin, P., ... & Adibuzzaman, M. (2022). CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors. arXiv preprint arXiv:2204.13775. (Under review in Artificial Intelligence in Medicine)
  • Gani, M. O., Kethireddy, S., Adib, R., Hasan, U., Griffin, P., & Adibuzzaman, M. (2023). Structural causal model with expert augmented knowledge to estimate the effect of oxygen therapy on mortality in the ICU. Artificial Intelligence in Medicine, 137, 102493
  • Adib, R., Aldawod, E., Lang, N., Lasswell, N., & Guha, S. (2019, July). Analyzing Happiness: Investigation on Happy Moments using a Bag-of-Words Approach and Related Ethical Discussions. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). IEEE.
  • Adib, R., Das, D., Ahamed, S. I., & Lerret, S. M. (2022). An mHealth App-Based Self-management Intervention for Family Members of Pediatric Transplant Recipients (myFAMI): Framework Design and Development Study. JMIR nursing.
  • Roushan, T., Adib, R., Johnson, N., George, O., Hossain, M. F., Franco, Z., ... & Ahamed, S. I. (2019, July). Towards predicting risky behavior among veterans with PTSD by analyzing gesture patterns. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). IEEE.

Publications

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