About me

I am a computer science Ph.D. student at the University of Washington under the supervision of Prof. Linda Shapiro and Ranjay Krishna. Previously, I earned my Bachelor's degree from the Sharif University of Technology in Iran. Summer 2021, I received an International Undergraduate Excellence Award from the Chair for Computer Aided Medical Procedures & Augmented Reality (CAMPAR) at Technical University of Munich for a research internship in the field of Medical AI. I was selected as one of the five awardees among all applicants from various nations.

My main research interest is solving healthcare problems and increasing life quality in patients suffering from different diseases using machine learning and deep learning. During my Bachelor, I investigated many medical questions, such as cell segmentation, seizure detection, and single-cell profile enhancement.
I am also interested in computer vision, and currently working on a joint project between Amazon and UW on 3D scene understanding.


  • Image-based cell profiling enhancement via data cleaning methods

    Authors: Arghavan Rezvani, Mahtab Bigverdi, Mohammad Hossein Rohban

    Paper | Code



  1. PhD, University of Washington

    2022 — present

    Supervisors: Prof. Linda Shapiro and Ranjay Krishna

  2. Bachelor, Sharif University of Technology

    2017 — 2022

    Supervisor: Mohammad Hossein Rohban
    Thesis title: Cell Segmentation in microscopic images using transformers

  3. Farzanegan2 high school

    2013 - 2017

    Diploma In Mathematics and Physics in the gifted students high school in Iran


  1. Reseach assistant

    University of Washington, Seattle, WA 2022 — Present

    Working on a joint project with Amazon on 3D scene understanding

  2. Reseach intern

    Technical University of Munich, Germany 2021 - 2022

    Developed a model based on Graph Convolutional Network architecture for detecting seizure in EEG signals

  3. Reseach assistant

    Sharif University of Technology, Iran 2019 — 2021

    Enhanced single-cell profile via data cleaning



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