Pegah Nokhiz


I am a Computer Science PhD student at Brown University.

I am currently working with Professor Suresh Venkatasubramanian on fairness in algorithmic decision making, in particular, Machine Learning. I am also interested in ethics in AI.

You can find my CV here and my Google Scholar page here.

Previously, I have worked on the following publications:

  • Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, and Suresh Venkatasubramanian, Precarity: Modeling the long-term effects of compounded decisions on individual instability, AAAI/ACM Conference on AI, Ethics, and Society, 2021. (the arXiv pre-print is here)

  • Lydia Reader, Pegah Nohkiz, Cathleen Power, Neal Patwari, Suresh Venkatasubramanian, Sorelle Friedler, Models for understanding and quantifying feedback in societal systems, The 2022 ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT 2022)

  • Vivek Gupta*, Pegah Nokhiz*, Chitradeep Duttaroy*, Suresh Venkatasubramanian, Equalizing Recourse Across Groups, arXiv preprint, arXiv:1909.03166.

  • Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar, INFOTABS: Inference on Tables as Semi-structured Data, Annual Conference of the Association for Computational Linguistics (ACL), 2020

  • Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, and Partha Talukdar, P-SIF: Document Embeddings using Partition Averaging, AAAI Conference on Artificial Intelligence (AAAI-20), NYC, US, 2020

  • Vivek Gupta, Ankit Saw, Pegah Nokhiz, Harshit Gupta and Partha Talukdar, Improving Document Classification with Multi-Sense Embeddings, European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2020 (extension of NAACL-SRW 2019 paper)

  • Vivek Gupta, Ankit Saw, Harshit Gupta, Pegah Nokhiz and Partha Talukdar, Word Polysemy Aware Document Vector Estimation, NAACL Student Research Workshop (SRW) 2019, non-archival (extension published in ECAI 2020)

  • Pegah Nokhiz and Fengjun Li, Understanding Rating Behavior based on Moral Foundations: The case of Yelp Reviews, IEEE BigData, Boston, MA, 2017

  • Vivek Gupta, Prerna Bharti, Pegah Nokhiz and Harish Karnick, SumPubMed: Summarization Dataset of PubMed Scientific Articles, ACL-IJCNLP SRW, 2021

  • Pranshi Yadav, Priya Yadav, Pegah Nokhiz and Vivek Gupta, Unbiasing Review Ratings with Tendency based Collaborative Filtering, AACL 2020 SRW

Note: * represents equal contribution

In my free time, I enjoy swimming, traveling and listening to music. Also, I am a foodie, I enjoy trying different kinds of food from all around the world!

“We have two lives, and the second begins when we realize we only have one.”