Dr. Pingsha Dong

Professor

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Biography

Pingsha Dong is the Robert F. Beck Collegiate Professor at the University of Michigan, where he focuses on advanced design analysis methodologies and engineering structures, with a particular emphasis on welded structures and novel computational modeling techniques. He has developed numerous unique computational procedures that are adopted by major manufacturing industries and national and international codes and standards. His current research interests encompass math-based design-for-producibility evaluation methods for lightweight metallic structures and advanced fatigue design life evaluation methods for high-speed train vehicles and equipment. Dr. Dong has published around 200 papers in peer-reviewed journals and conference proceedings, presenting plenary and keynote lectures at various international conferences. His representative research sponsors include leading automotive, aerospace, petrochemical, and shipbuilding companies such as Boeing, Ford, and Hyundai Heavy Industries, as well as government agencies like NASA and the Department of Energy.

Research Interests

Experience

Professor

— Present

University of Michigan • Ann Arbor, MI

Teaching and research in advanced design methodologies and engineering structures.

Awards

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AWS 2015 Fellow Award

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IIW Fellow Award

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SNAME’s Elmer L. Hann Award

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R&D 100 Award

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TIME Magazine’s Math Innovator Award

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science