Dr. Nasser Lashgarian Azad

Professor

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Biography

Nasser Lashgarian Azad is a Professor and Associate Chair in the Department of Systems Design Engineering at the University of Waterloo. He has a strong background in Mechanical Engineering, having completed his Postdoctoral Fellowship at the University of California, Berkeley. His primary research interests include intelligent controls and automation applications in automotive systems and autonomous systems such as automated vehicles and drones. Additionally, he focuses on innovative applications of Artificial Intelligence methods to solve complex modeling, optimization, and control problems. He has contributed to over 70 publications in high-caliber, peer-reviewed journals, including the IEEE Transactions on Intelligent Transportation Systems and the Artificial Intelligence Review. Notably, he received the Early Researcher Award from the Ontario Ministry of Research and Innovation in 2015, recognizing his impactful work in the field. His teaching covers topics such as optimization methods and control systems, reflecting his expertise in both theoretical and applied aspects of engineering.

Research Interests

Courses

BME 411 - Optimization Numerical Methods SYDE 113 - Elementary Engineering Mathematics SYDE 352 - Introduction Control Systems SYDE 411 - Optimization Numerical Methods SYDE 632 - Optimization Methods SYDE 655 - Optimal Learning-Based Control

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
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Specialization Notes

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