Probir Roy
Scholar

Probir Roy

Google Scholar ID: yGkoxoQAAAAJ
Assistant Professor
Citations & Impact
All-time
Citations
99
 
H-index
6
 
i10-index
5
 
Publications
13
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at conferences such as ICDCS'25, TACO'23, MSR'23, etc. Involved in projects like 'Integrating Software Performance Analysis into CS Education' and 'Towards Efficient Cloud Services', which have been funded by NSF.
Research Experience
  • Assistant Professor at the University of Michigan-Dearborn; research focuses on developing program analysis tools to address performance issues.
Education
  • PhD from the College of William and Mary under the supervision of Xu Liu, developing lightweight memory profiling techniques to identify performance inefficiencies.
Background
  • Assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn. Research focuses on building practical tools and techniques to expose various performance bottlenecks and optimization opportunities in software. As the complexity of computational systems increases, designing high-performance software/hardware is becoming more challenging.
Miscellany
  • Looking for self-motivated students interested in system research.