Hi!

My name is Omid Memarrast. I graduated with a Ph.D. in Computer Science from the University of Illinois Chicago. My research focus was primarily on developing Fair and Robust Machine Learning and Responsible AI algorithms. I was very fortunate to have Prof. Brian Ziebart as my advisor. I received my BS in Software Engineering from the University of Tehran, Tehran, Iran.

Recently, I’ve got a keen interest in Generative AI models and how to make them more responsible and fair.

My resume is available here

Recent News

• I am actively seeking job opportunities! Please don’t hesitate to contact me if you have any relevant openings.

• Invited to serve as a reviewer for the ICLR 2024.

• I’m in Hawaii to attend the ICML conference and present our work Superhuman Fairness.

• I’m in Osaka, Japan to attend the PAKDD conference and present our work Fairness for Robust Learning to Rank.

• I successfully defended my Ph.D. dissertation [Link]

• Invited to serve as a reviewer for the NeurIPS 2023.

• Our paper Superhuman Fairness is accepted at ICML 2023.

• Our workshop paper Superhuman Fairness via Subdominance Minimization is accepted at ICLR 2023 Workshop on Trustworthy ML

• Our paper Fairness for Robust Learning to Rank is accepted at PAKDD 2023.

• Invited to serve as a reviewer for the NeurIPS 2022.

• I successfully passed my PhD Preliminary Exam.

• Invited to serve as a reviewer for the ICML 2022.

• Invited to serve as a program committee (PC) member for the IJCAI 2022.

• Our workshop paper Fairness for Robust Learning to Rank is accepted at NeurIPS 2021 Workshop on Algorithmic Fairness through the Lens of Causality and Robustness.

• Our paper ParsiNLU: A Suite of Language Understanding Challenges for Persian is accepted at Transactions of the Association for Computational Linguistics.

• Invited to serve as a program committee (PC) member for the IJCAI 2021.

• Our conference paper Robust fairness under covariate shift is accepted at AAAI 2021.

• I’m joining LinkedIn as a Machine Learning Research Inern.

• I am volunteering for AAAI 2020 conference.

• Our conference paper Fairness for robust log loss classification is accepted at AAAI 2020.

• I successfully passed my PhD Qualifier Exam.

• I’m joining Moningstar, Inc. as a Data Science Inern.

• I received the Graduate Student Award Scholarship from the Computer Science Department at UIC.