Scholar
Arshia Rafieioskouei
Google Scholar ID: E7VilogAAAAJ
Michigan State University
Causality
Cyber-physical systems
Reinforcement Learning
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Citations & Impact
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Citations
16
H-index
3
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0
Publications
5
Co-authors
2
list available
Contact
Email
rafieios@msu.edu
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Publications
1 items
HypRL: Reinforcement Learning of Control Policies for Hyperproperties
2025
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0
Resume (English only)
Academic Achievements
Paper 'HYPRL: Reinforcement Learning of Control Policies for Hyperproperties' accepted to NeurIPS 2025 (Sep 2025)
Paper 'Beyond Correlation: Establishing Causality in Protein Corona Formation for Nanomedicine' accepted to Molecular Pharmaceutics (Apr 2025)
Paper 'Ai-driven prediction of cardio-oncology biomarkers through protein corona analysis' accepted to Chemical Engineering Journal (Mar 2025)
Paper 'Efficient Discovery of Actual Causality using Abstraction-Refinement' accepted to EMSOFT 2024 and published in IEEE TCAD (Jul 2024)
Awarded ESWEEK 2024 student travel grant by SIGDA (Aug 2024)
Background
Second-year PhD student in Computer Science and Engineering at Michigan State University
Research focuses on causality, particularly formalizing it using temporal logic and transforming it into an SMT problem
Applies causality analysis in Cyber-Physical Systems (CPS) to uncover causal relationships between events
Optimizing the approach for efficiency and exploring applications in medicine and nanoscience
Actively seeking internships in CPS, safety failures, formal methods, and verification
Co-authors
2 total
Borzoo Bonakdarpour
Associate Professor of Computer Science, Michigan State University
Tzu-Han Hsu
Graduate Research Assistant of Computer Science, Michigan State University
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