Dr. Saeed Ghadimi

Assistant Professor

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Biography

Saeed Ghadimi is an Assistant Professor in Management Science Engineering at the University of Waterloo. His research focuses on Reinforcement Learning, Stochastic Optimization, Machine Learning, Data Analytics, and Nonconvex Optimization. Over the years, he has contributed significantly to these fields, exploring various methodologies and applications. Professor Ghadimi has taught several courses, including Engineering Economics, Deterministic Optimization Models, and Principles of Operations Research. His teaching is informed by his extensive research and practical experience, equipping students with the necessary tools to excel in their careers. With a commitment to advancing the field of management science engineering, he actively engages in research that addresses contemporary challenges in optimization and data analysis.

Research Interests

Reinforcement Learning Stochastic Optimization Machine Learning Data Analytics Nonconvex Optimization

Courses

MSCI 131 - Work Design Facilities Planning MSCI 261 - Engineering Economics: Financial Management Engineers MSCI 332 - Deterministic Optimization Models Methods MSCI 603 - Principles Operations Research MSCI 700 - Topics Operations Research Management MSE 332 - Fundamentals Optimization MSE 603 - Principles Operations Research MSE 634 - Deterministic Models Operations Research MSE 700 - Topics Operations Research Management

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.