Alireza Rafiei

Alireza Rafiei

Applied AI Scientist

Alireza Rafiei’s Homepage

Hi there! I’m Alireza, a second-year (2022-now) Ph.D. student in Computer Science and Informatics at Emory University. Before Emory, I completed my M.S. degree at the University of Tehran in 2021. Broadly, my research interests lies in AI applications in medicine. Specifically, I am interested in developing novel and state-of-the-art machine learning models and tailoring them for practical healthcare-related applications. I have a keen interest in devising methods that bridge classical techniques with learning-based approaches, ensuring they are both fundamentally sound and mathematically inspired.

Outside of work and school, I love playing soccer! I used to play it professionally when I was younger.

Research interests

  • Generative AI
  • AI for Health
  • Data-Centric AI
  • Time-series Analysis
  • Reinforcement Learning
  • Signal Processing

Updates and news

  • [06/2024] I’ve received the Society of Critical Care Medicine’s (SCCM) Datathon travel grant.
  • [04/2024] “The 2024 Pediatric Sepsis Challenge: Predicting in hospital-mortality in children with suspected sepsis in Uganda” paper accepted for publication in pediatric critical care medicine and the challenge will be lunched soon!
  • [04/2024] Our paper “Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing” accepted for presentation in artificial intelligence in medicine. See you at AIME!
  • [03/2024] Our paper “Development and validation of a model for endotracheal intubation and mechanical ventilation prediction in PICU patients” paper accepted for publication in pediatric critical care medicine.
  • [01/2024] Our paper “Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit” accepted for publication in computers in biology and medicine.
  • [01/2024] I’ve received the clinical and single-cell transcriptomics for pneumonia codeathon and conference participation grant.
  • [08/2023] Exiting news! Our paper, “Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model”, was recognized by the American College of Clinical Pharmacy (ACCP) as the 2023 Critical Care paper of the year!
  • [05/2023] Our paper “Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model” accepted for publication in critical care.
  • [04/2023] I’ve received the Bridge2AI CHoRUS workshop travel grant.
  • [08/2022] I officially join to the department of biomedical informatics at Emory University as a PhD student.
  • [07/2022] Our paper “Automated detection of major depressive disorder with EEG signals: a time series classification using deep learning” accepted for publication in IEEE Access.
  • [06/2022] Our paper “Pedestrian collision avoidance using deep reinforcement learning” accepted for publication in international journal of automotive technology.
  • [03/2022] Exciting news! I’ve got a fully funded PhD admission at the Computer Science and Informatics program at Emory University! Looking forward to starting my PhD journey!
  • [01/2022] I have begun a remote research internship at Monash University.
  • [01/2021] Our paper “FCOD: Fast COVID-19 Detector based on deep learning techniques” accepted for publication in informatics in medicine unlocked.
  • [01/2021] Our paper “SSP: Early prediction of sepsis using fully connected LSTM-CNN model” accepted for publication in computers in biology and medicine.





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