← Meet the rest of the cohort
Somayyeh Mousavi

Somayyeh Mousavi

Demographic-aware EHR-based models for cardiovascular diseases

PhD Candidate

Emory University

Google ScholarLinkedInGitHubEmail

Your week at a glance

  • Small group — you facilitate Group 4 · Aquila on Day 3 (Evaluation).
  • Poster — Day 7 (Sun, Jun 28) · Session B (10:30–11:30 AM).

Seyedeh Somayyeh Mousavi is currently a PhD candidate in Computer Science and Informatics at Emory University (2022–present). She holds a double Master's degree in Biomedical Engineering and Computer Science and Informatics from Zanjan University (2018) and Emory University (2025), as well as a Bachelor's degree in Electrical Engineering from Zanjan University (2014). Her Master's project focused on developing a portable, non-invasive blood pressure (BP) monitoring system using biosignals. The goal was to continuously estimate blood pressure over long periods using Artificial Intelligence (AI) models, leveraging a combination of biosignals such as electrocardiogram (ECG) and photoplethysmography (PPG), to improve remote health monitoring and patient care. In her PhD research, she aims to develop Machine Learning (ML) and Deep Learning (DL) approaches for cardiovascular disease applications from both cross-sectional and longitudinal perspectives, incorporating BP measurements and ECG recordings as key biosignals.

Awards & honors

Recognition

  • NSF and IEEE EMB Society Travel Award (2026)
  • Society of Critical Care Medicine (SCCM) Travel Award, Datathon 2025 (2025)
  • Iranian American Academics and Professionals (IAAP) Organization Scholarship (2025)
  • Society of Critical Care Medicine (SCCM) Travel Award, Datathon 2024 (2024)
  • IEEE EMBC NextGen Scholar Award (2024)
  • Emory University PhD Scholarship (2021)
  • Best Thesis Award, 18th Thesis of the Year National Festival, Iranian Student Book Agency (2020)
  • Best Young Award for research contributions in science and technology, Zanjan, Iran (2019)
  • Ranked First, 3 Minute Thesis Competition, University of Zanjan (2019)
  • Best Paper Award, 4th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS 2018)
  • Best Thesis Award (M.Sc.), 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME 2018)
  • Ranked First in M.Sc., University of Zanjan (2018)
  • Ranked Third, 3rd Biomedical Engineering Idea Competition, Amirkabir University of Technology (2017)
  • Ranked First, Mechatronics and Robotics Symposium, University of Zanjan (2016)
Meet the rest of the cohort