Welcome! 👋
A quick intro: I specialize in human-AI interaction, applied AI, and fairness. I’m passionate about building AI systems that are fair, responsible, and truly work for everyone—by addressing bias in AI-driven decisions and keeping people at the center of design. I earned my Ph.D. in June 2025 from the Department of Computer Science at Purdue University, where I was advised by Dr. Ming Yin. My work has been featured at leading AI conferences such as IJCAI and AIES.
Before grad school, I earned my bachelor’s degree in Computer Science (with distinction!) from Purdue in December 2018. Outside of research, I love catching up on tech trends. Always happy to connect and chat about AI, fairness, or anything tech!
News
- June 2025: I obtained my Ph.D. from the Department of Computer Science at Purdue University.
- 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!
My Work
Fairness in the Machine Learning Pipeline: A Human-in-the-Loop Perspective
Meric Altug Gemalmaz
Ph.D. Dissertation, Department of Computer Science, Purdue University, West Lafayette, Indiana, USA, June 2025.
An Investigation of Decision Subjects' Interaction With Periodically Updated ML-Based Task Allocations
Meric Altug Gemalmaz and Ming Yin
(Included as a chapter in Ph.D. Dissertation)
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.
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.