Yuval Kansal
Scholar

Yuval Kansal

Google Scholar ID: UincfVYAAAAJ
ECE PhD Student, Princeton University
AI for ScienceNLPReasoning in LLMs
Citations & Impact
All-time
Citations
158
 
H-index
2
 
i10-index
1
 
Publications
6
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • 1. Released paper: “Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need” (July 2025)
  • 2. Awarded The Hisashi and Masae Kobayashi *67 Fellowship Fund for the 2024-25 Academic Year
Research Experience
  • 1. Started PhD at Princeton University (September 2024 onwards).
Education
  • 1. Princeton University, Department of Electrical and Computer Engineering, PhD Student, Advisor: Prof. Niraj Jha (Since September 2024)
  • 2. UNSW Sydney, Bachelor of Computer Engineering (Honours), Advisor: Prof. Salil Kanhere (Graduated June 2024)
Background
  • Research Interests: Improving the reasoning capabilities of LLMs and building bottom-up superintelligence. Bio: Second year PhD student in the Department of Electrical and Computer Engineering at Princeton University.
Miscellany
  • Personal Interests: Traveling, hiking, running, and reading.