Dr. Qiang Qiu

Associate Professor

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Biography

Qiang Qiu is an Associate Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. He specializes in the fields of computer vision and machine learning, with a focus on deep learning, image understanding, and representation learning. His research interests are at the intersection of these advanced techniques, contributing to both theoretical foundations and practical applications in understanding and interpreting visual data. Dr. Qiu is committed to educating the next generation of engineers and researchers, integrating innovative teaching methods into his curriculum. He collaborates with various academic and industry partners to advance the state of technology in his fields of expertise. Dr. Qiu's work has been published in numerous academic journals and conference proceedings, broadening the impact of his research on both scientific and technological advancements in machine learning and computer vision.

Research Interests

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.