Dr. Kaan Erkorkmaz

Professor

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Biography

Kaan Erkorkmaz is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, specializing in precision manufacturing and control systems. He holds a Doctorate in Mechanical Engineering from the University of British Columbia and has extensive experience in areas like machining dynamics, optimal trajectory planning for machine tools, and enhancing productivity and quality in manufacturing operations. His research contributes significantly to fields such as precision engineering, automotives, and robotics, focusing on advanced manufacturing techniques and digital fabrication technologies. As a Fellow of the International Academy for Production Engineering (CIRP), he actively participates in scholarly and professional organizations and has received numerous awards for his teaching and research excellence. Notably, he has held the honorary title of ‘TUM Ambassador’ from the Technical University of Munich and has been recognized with the Sandford Fleming Foundation Teaching Excellence Award. His commitment extends to serving in various capacities within CIRP, including Technical Secretary and Editorial Committee Member.

Research Interests

Experience

Professor

2004-01-01 — Present

University of Waterloo • Waterloo, Ontario, Canada

Teaching courses and conducting research in mechanical and mechatronics engineering.

Awards

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TUM Ambassador

2022-01-01
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August-Wilhelm Scheer Global Visiting Professorships

2019-01-01
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Sandford Fleming Foundation Teaching Excellence Award

2016-01-01
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Poster Paper

2013-01-01
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InnoLecture Visiting Professorship

2011-01-01
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Early Researcher Award

2008-01-01
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Outstanding Young Manufacturing Engineer Award

2007-01-01

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.