Scholar
Arash Nasr-Esfahany
Google Scholar ID: kfM4pY8AAAAJ
PhD Student at MIT
Citations & Impact
Citations
191
H-index
6
i10-index
4
Publications
10
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- Publications: CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation (NSDI '23 Best Paper Award); Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion (ISCA '25) and several other papers; Awards: Jacobs Presidential Fellowship, Neekeyfar Fund Award.
Research Experience
- Summer 2022 research intern at Causality and Machine Learning group, Microsoft Research Redmond, working with Emre Kiciman; Student researcher at Google from June 2023 to December 2024, working on CPU performance modeling.
Education
- PhD: MIT CSAIL, advisor Mohammad Alizadeh; Master's: Not specified, but designed CausalSim method and received NSDI '23 best paper award; Bachelor's: Electrical Engineering department, Sharif University of Technology.
Background
- Research Interests: Modeling computer systems with causality and machine learning. Background: PhD candidate at MIT CSAIL, advised by Mohammad Alizadeh.
Miscellany
- Personal Interests: Early morning rowing on the Charles River, member of the MIT Rowing Club.
