Contact Me! mgemalma@purdue.edu
Meric Altug Gemalmaz

Meric Altug Gemalmaz

PhD Candidate @ Purdue University

Curriculum Vitae

(Last Updated: February 7, 2024)

About Me

I am a PhD candidate in the Department of Computer Science at Purdue University, advised by Dr. Ming Yin. My research interests are in the fields of human-AI interaction, applied artificial intelligence, and fairness. Specifically, I focus on investigating fairness issues in the artificial intelligence (AI) development pipeline from a human-in-the-loop perspective. This includes examining how human biases sneak into AI models and how to mitigate these biases. As well as understanding how humans perceive and react to AI models with different fairness properties, especially if they can strategically respond to AI models' decisions. My research has led to publications at top-tier AI venues, including the International Joint Conference on Artificial Intelligence (IJCAI) and the AAAI/ACM Conference on AI Ethics and Society (AIES).

In addition to my research, I have been recognized with several teaching awards for my role as a Graduate Teaching Assistant. One such honor is the Graduate Teaching Award, received in Fall 2022, in supporting a graduate-level data mining class. Additionally, in 2020, I was awarded the prestigious Raymond Boyce Graduate Teacher Award for my teaching assistance to an undergraduate-level computer architecture class.

Before attending graduate school, I received my bachelor's degree from Purdue University, Department of Computer Science with distinction in December 2018.


News

  • January 2024: I received special recognition for an exceptional review at CHI 2024.
  • November 2023: I passed my preliminary exam and have achieved candidacy!
  • November 2022: I received the Graduate Teaching Award for my performance in CS 57300!
  • April 2022: Our paper "Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems" has been accepted to AIES 2022! This work was done with Dr. Ming Yin.
  • May 2021: Our paper "Accounting for Confirmation Bias in Crowdsourced Label Aggregation" has been accepted to IJCAI 2021! This work was done with Dr. Ming Yin.
  • March 2020: I was awarded the Raymond Boyce Graduate Teacher Award for my performance in CS 25000 of the Fall 2019 semester.
  • January 2020: My petition to become a PhD student was approved by the faculty, and I have now officially become a PhD student!

More News...


Publications

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Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems

Meric Altug Gemalmaz and Ming Yin
The 5th AAAI/ACM Conference on AI, Ethics, and Society (AIES), Oxford, UK, August 2022.

Publication Image

Accounting for Confirmation Bias in Crowdsourced Label Aggregation

Meric Altug Gemalmaz and Ming Yin
The 30th International Joint Conference on Artificial Intelligence (IJCAI), Online, August 2021.