CV

CV of Mohammad Asadi, PhD student in Electrical Engineering at Stanford University: education, experience, awards, fellowships, and patents.

Education

  • PhD, Electrical Engineering, Stanford University (2023-present) Ashley Lab and STAI Lab. Advised by Prof. Euan Ashley; co-advised by Prof. Fei-Fei Li and Prof. Ehsan Adeli.
  • BSc, Electrical Engineering, Sharif University of Technology (2018-2022)

Experience

  • Samsung: human-motion generation (diffusion-based pose and image generation).
  • EPFL (ML4ED): interpretable machine learning for online education.

Awards & Fellowships

  • Amazon AI PhD Fellowship, 2025
  • Stanford HAI Graduate Fellowship, 2025
  • “Smartest AI Agent” Prize, TreeHacks 2024 (project: Healthiator)

Service

  • Poster Committee Member, Market Design in the Age of AI symposium, Stanford University

Patents

  • System and Method for End-to-End Pipeline for Photo-Realistic 3D Motion Generation. U.S. Patent Application US20260080600A1 (Samsung Electronics).
  • MARCUS: An Agentic, Multimodal Vision-Language Model for Cardiac Diagnosis and Management. U.S. patent application, in preparation.

Selected Publications

See the publications page for the full list. Highlights:

  • MIRAGE: The Illusion of Visual Understanding, first author, 2026.
  • MARCUS: An Agentic, Multimodal Vision-Language Model for Cardiac Diagnosis and Management, co-first author, 2026.