PhD Student
University of Chicago
krisha at uchicago dot edu


Bio

Welcome!

I am Krisha Mehta, a first year PhD student at the Computer Science department at the University of Chicago. I am advised by Prof. Alex Kale at the Data Cognition Lab. I am interested in studying how visualizations can help people reason about uncertainty and drive their decision-making.

Apart from that, I love to buy and read books (yes, those are two separate hobbies) and can cook a mean daal makhani. Occasionally, I summarize research papers on a blog called Computers, Papers and Everything.

My CV is available here.

News

  • [Sept 2023] Awarded the Liew Family Graduate Fellowship.
  • [Sept 2023] Joined the PhD in CS program at the University of Chicago!
  • [Oct 2022] Got promoted to Programmer writer II.
  • [June 2022] Worked on Ground Truth Plus and Ground Truth Synthetic.
  • [June 2021] Started working full-time at Amazon SageMaker as a programmer writer.
  • [May 2021] Graduated from Arizona State University with a Masters in Computer Science
  • [Aug 2020] Interned at Weights & Biases as a machine learning engineer.
  • [May 2020] Interned as a technical writer intern at Amazon this summer.
  • [Feb 2020] Our paper IndoorNet: Generating Indoor Layouts from a Single Panorama Image got published in Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore, 2020
  • [Aug 2019] Joined the MS in CS program at Arizona State University.
  • [June 2019] Selected to join the technical student program at The European Organization for Nuclear Research(CERN)(declined)
  • [May 2019] Our paper HomeNet: Layout Generation of Indoor Scenes from Panoramic Images Using Pyramid Pooling got accepted at the 3D Scene Generation Workshop, CVPR, 2019!
  • [Nov 2018] Selected for the Summer Research Program by the University of Auckland, New Zealand.

Publications

HomeNet: Layout Generation of Indoor Scenes from Panoramic Images Using Pyramid Pooling

Krisha Mehta, Yash Kotadia
3D Scene Generation Workshop, CVPR, 2019
Paper