Dr. Sharon Di

Associate Professor

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Biography

Sharon Di is an Associate Professor in the Department of Civil Engineering and Engineering Mechanics at Columbia University in the City of New York, and co-chairs the Smart Cities Center at the Data Science Institute. She directs the DitecT (Data Innovative Technology-Driven Transportation) Lab, focusing on transportation systems. Her overarching research mission is to empower mobility with an emphasis on the use of technology for social good. She specializes in mobility modeling and analytics, integrating sociotechnical solutions to deepen understanding of human mobility and the complex interactions within systems. Her research intersects transportation systems engineering and artificial intelligence, encompassing game theory and data science. Dr. Di is currently pioneering the development of digital twins for urban transportation management, leveraging cyber-physical systems technology. Her work spans diverse areas, including multi-modal mobility optimization and autonomous vehicle control, with a focus on health considerations in transportation. Dr. Di has served as an Associate Editor for journals such as Transportation Science and Transportation Research Part B. She has received numerous awards and recognitions for her contributions to the field, including the Transportation Science Meritorious Service Award from INFORMS in 2022.

Research Interests

Experience

Postdoctoral Research Fellow

2008-06-01 — 2010-06-01

University of Michigan Transportation Research Institute • Ann Arbor, MI

Conducted research on innovative transportation solutions.

Awards

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Transportation Science Meritorious Service Award

2022-11-01
#

Amazon AWS Machine Learning Research Award

2020-01-01
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Transportation Data Analytics Contest Winner

2017-01-01

Requirements for Columbia University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7.5
Prerequisites
Bachelor's degree or international equivalent
Application Checklist
  • Online application
  • Transcripts
  • Statement of Academic Purpose
  • Personal Statement
  • Three letters of recommendation
  • CV or Resume
  • Application fee
Specialization Notes

Department of Anthropology (GSAS)