Dr. Yan Gu

Associate Professor

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Biography

Dr. Yan Gu is an Associate Professor in the School of Mechanical Engineering at Purdue University. He holds a Ph.D. from Purdue University awarded in 2017 and a Bachelor of Science degree from Zhejiang University, China, obtained in 2011. Dr. Gu specializes in robotics, focusing particularly on legged locomotion, humanoid quadrupedal robots, and wearable robotics. His research encompasses hybrid dynamical systems, control, state estimation, and dynamics, contributing fundamental knowledge in these areas. He has received several prestigious awards, including the NSF CAREER Award in 2021 and the Student Paper Finalist Award from the IEEE/ASME International Conference on Advanced Intelligent Mechatronics in 2020. Dr. Gu was also recognized with multiple teaching awards for his excellence in education at both the University of Massachusetts Lowell and Purdue University. His selected research projects and publications explore innovative applications of robotics, addressing both theoretical and practical challenges.

Research Interests

Awards

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NSF CAREER Award

2021-01-01
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Student Paper Finalist Award

2020-01-01
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Verizon’s 5G Robotics Challenge Award

2019-01-01
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Excellence Teaching Award

2019-01-01
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Estus H. Vashti L. Magoon Award for Excellence in Teaching

2014-01-01
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Frederick N. Andrews Fellowship

2011-01-01
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Chu Kochen Award

2010-01-01

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.