# Mohammad Salavatipour, PhD

## Contact

##### Associate Dean, Graduate, Faculty of Science - Deans Office

- mrs@ualberta.ca

## Overview

### About

**Education**

- B.Sc., Computer Engineering, Sharif University of Technology, 1998
- M.Sc., Computer Science, University of Toronto, 2000
- Ph.D., Computer Science, University of Toronto, 2003

### Research

**Area**

Algorithmics

**Interests**

Approximation Algorithms, Hardness of Approximation, Algorithmic Graph Theory, Probabilistic and Randomized Algorithms.

**Summary**

I am interested in design and analysis of algorithms; in particular approximation algorithms and hardness of approximation. Most of these problems are optimization problems that are known to be hard. Our goal is to design efficient algorithms with provable guarantee on the quality of the solution with respect to the optimum one. These problems arise in various applications such as clustering problems, vehicle routing, scheduling, and network design.

## Courses

### CMPUT 272 - Formal Systems and Logic in Computing Science

An introduction to the tools of set theory, logic, and induction, and their use in the practice of reasoning about algorithms and programs. Basic set theory; the notion of a function; counting; propositional and predicate logic and their proof systems; inductive definitions and proofs by induction; program specification and correctness. Prerequisites: CMPUT 101, 174, 175, 274, or SCI 100.

### CMPUT 675 - Topics in Computing Science