Arshia Rafieioskouei

PhD Student in Computer Science at Michigan State University

prof_pic.png

428 S Shaw Ln # 3320

East Lansing, MI 48824

Hi! I’m Arshia Rafieioskouei, a second-year PhD student in Computer Science and Engineering at Michigan State University, working under the supervision of Dr. Borzoo Bonakdarpour in the TART Lab. I hold a Bachelor’s degree in Computer Engineering from Sharif University of Technology.

My research focuses on causality, specifically formalizing it using temporal logic to transform it into an Satisfiability Modulo Theories (SMT) problem. This approach allows me to deploy causality analysis in Cyber-Physical Systems (CPS) to uncover causal relationships between events. I’m also working on optimizing this process for better efficiency and exploring applications in medicine, nanoscience, and beyond.

If you’re interested in discussing causality—in any form—or if you have a dataset where you’d like to uncover causal relationships, feel free to contact me via email.

Additionally, I’m actively seeking internships in fields such as CPS, safety failures, formal methods, and verification. You can learn more about my work and experience on my website or through my CV.

“The appearance of a cause always conveys the mind, by a customary transition, to the idea of the effect.”

– David Hume

news

Apr 08, 2025 🧬 Our paper on Beyond Correlation: Establishing Causality in Protein Corona Formation for Nanomedicine has been accepted to Molecular Pharmaceutics.
Mar 01, 2025 🧬 Our paper on Ai-driven prediction of cardio-oncology biomarkers through protein corona analysis has been accepted to Chemical Engineering Journal.
Aug 23, 2024 🎉 Thrilled to announce that I’ve been awarded the ESWEEK 2024 student travel grant by SIGDA!
Jul 14, 2024 🚀 Our paper on Efficient Discovery of Actual Causality using Abstraction-Refinement has been accepted to EMSOFT 2024.

selected publications

  1. Molecular Pharm
    nano_pic.png
    Beyond Correlation: Establishing Causality in Protein Corona Formation for Nanomedicine
    Arshia Rafieioskouei, Kenneth Rogale, Amir Ata Saei, and 2 more authors
    Molecular Pharmaceutics, Apr 2025
  2. EMSOFT’24
    esweek.png
    Efficient Discovery of Actual Causality Using Abstraction Refinement
    Arshia Rafieioskouei, and Borzoo Bonakdarpour
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Nov 2024
  3. CEJ
    cej.png
    Ai-driven prediction of cardio-oncology biomarkers through protein corona analysis
    Avirup Guha, Seyed Amirhossein Sadeghi, Harikrishnan Hyma Kunhiraman, and 14 more authors
    Chemical Engineering Journal, Nov 2025