Dr. M Murty

Professor

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Biography

M. Ram Murty is a Professor and Queen's Research Chair in the Department of Mathematics and Statistics at Queen's University. He holds a Ph.D. from the Massachusetts Institute of Technology and has a strong focus on number theory and its allied areas. His research interests prominently include the theory of zeta functions and questions related to the distribution of prime numbers. Over the years, he has worked on related areas including graph theory and combinatorics. Murty's research projects operate in several distinct yet related fields. Project 1 explores classical number theory with an emphasis on arithmetical functions, progressing from single-variable to multi-variable contexts through the lens of Dirichlet series. Project 2 highlights graph theory as a crucial analytical tool for addressing complex, real-world challenges through mathematical representation, particularly utilizing network theory. Finally, Project 3 investigates the emerging field of probabilistic number theory, aiming to expand its applications in the algebraic realm. This project pushes the boundaries of traditional number theory to integrate newer mathematical frameworks. His body of work reflects a commitment to advancing theoretical research while addressing practical implications in mathematics.

Research Interests

Experience

Professor

— Present

Queen's University • Kingston

Leading research and teaching in mathematics with a focus on number theory and combinatorics.

Requirements for Queen's University

Master Program
Requirements
GPA Requirement
Required:3.3
TOEFL
Listening
Required:20
Reading
Required:22
Writing
Required:24
Speaking
Required:22
Total
Required:88
IELTS
Overall
Required:7
Prerequisites
Honours Bachelor degree Background in Computing, Mathematics, Statistics, or Engineering
Application Checklist
  • Online application
  • Statement of Research Interest
  • Curriculum Vitae
  • Two academic references
  • Transcripts
Specialization Notes

Department of Computing offers research-based, project-based, and course-based patterns.