Shubham Singh

1300 SEO

851 S. Morgan St.,

Chicago, Illinois 60607

I am a Ph.D. student with the Department of Computer Science at the University of Illinois Chicago, where I’m advised by Chris Kanich and Ian A. Kash, and my research focuses on the areas of Algorithmic Fairness, Security and Privacy, and Computational Social Science. Since 2023, I serve as Working Groups Lead for the Mechanism Design for Social Good (MD4SG) research initiative.

In the past, I worked at Precog Research Lab as a Research Associate, where I was advised by Ponnurangam Kumaraguru “PK” and Arun Balaji Buduru. My industrial experience includes working as a Full Stack Developer at an Amazon Pay-acquired startup and a software developer intern at MobiKwik. I received my undergraduate degree from IIIT-Delhi in Computer Science.

news

Feb 17, 2023	Our paper titled “Tracking, But Make It Offline: The Privacy Implications of Scanning QR Codes Found in the World” is accepted to Workshop on Technology and Consumer Protection (ConPro ’23) workshop at IEEE S&P 2023.
Feb 10, 2023	I am selected as a recipient of the Google CS Research Mentorship Program, Class A, 2023. Super excited to talk to other students and researchers in the industry and learn about their research journey.
Oct 6, 2022	Our paper “Fair Decision-Making for Food Inspections” got accepted at the second ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO’22) as an oral presentation. It was a delight interacting with the diverse community members with shared interest in fairness, algorithmic decision-making and operations research.
May 23, 2022	I am a research intern at Max Planck Institute for Software Systems for the Summer 2022. I’m honored to be working with Oshrat Ayalon and Elissa M. Redmiles.

selected publications

EAAMO

Fair Decision-Making for Food Inspections

Shubham Singh, Bhuvni Shah, Chris Kanich, and Ian A. Kash

In Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), Oct 2022

Bib HTML PDF

@inproceedings{singh-fairfood-eaamo2022,
  title = {Fair Decision-Making for Food Inspections},
  author = {Singh, Shubham and Shah, Bhuvni and Kanich, Chris and Kash, Ian A.},
  year = {2022},
  month = oct,
  booktitle = {Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)},
  location = {Arlington, VA, USA},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  series = {EAAMO '22},
  doi = {10.1145/3551624.3555289},
  isbn = {9781450394772},
  url = {https://doi.acm.org?doi=3551624.3555289},
  articleno = {5},
  numpages = {11},
  keywords = {food inspections, fairness, scheduling},
}