Hi! My name is Tina and I come from Iran. Currently, I'm a PhD student in Computer Science at Stony Brook University, advised by Dr. Klaus Mueller . My research focuses on human-in-the-loop bias mitigation techniques and visual methods for Explainable AI. I am a member of the BIAS-NRT group at Stony Brook, where we collaborate across various disciplines to address bias and discrimination issues in humans and AI. Additionally, I hold a Graduate degree in Human-Centered Data Science, having taken graduate courses in Sociology and Psychology. I am also involved with the AI and Philosophy lab , where we explore the Model Multiplicity problem.
News
- Our paper, FairPlay: A Collaborative Approach to Mitigate Bias in Datasets , was accepted to NeurIPS Workshop on Pluralistic Alignment Workshop 2024.
- Our paper, FairPlay: A Collaborative Approach to Mitigate Bias in Datasets , was accepted to CSCW.
- Our paper, Reconciling Predictive Multiplicity in Practice , was accepted in ICML Workshop on Humans, Algorithmic Decision-Making and Society 2024 .
- I will be joining Dr. Ning Wang 's lab at the Institute for Creative Technologies at USC for the summer. We will be working on Explainable Self-Sware AI.
- Our Paper, FRMDN: Flow-based Recurrent Mixture Density Network, got accepted in Expert Systems with Applications, Volume 237. You can access it here.