Kangning Wang
Scholar

Kangning Wang

Google Scholar ID: tK_Ty_IAAAAJ
Assistant Professor of Computer Science, Rutgers University
Economics and ComputationMechanism DesignSocial Choice
Citations & Impact
All-time
Citations
500
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Received an ACM SIGecom Doctoral Dissertation Award Honorable Mention, a Duke CS Best Dissertation Award, and Best Paper Awards at SODA 2024 and WINE 2018.
Research Experience
  • Worked with Moses Charikar and Aviad Rubinstein at Stanford University; Participated in the 'Data-Driven Decision Processes' program at the Simons Institute for the Theory of Computing, UC Berkeley; Interned twice at Google Research, hosted by Jieming Mao, Renato Paes Leme, and Aranyak Mehta.
Education
  • Ph.D. in Computer Science from Duke University, advised by Kamesh Munagala; Bachelor's degree from Yao Class, Tsinghua University.
Background
  • Research interests include Mechanism Design, Social Choice, Information Design, Market Design, and Algorithmic Fairness. Member of the EconCS group and the CS theory group at Rutgers University.