Atefeh Mollabagher

Hi! I am Atefeh Mollabagher, a Ph.D. student in Electrical and Computer Engineering at UC San Diego, advised by Dr. Parinaz Naghizadeh. Before that, I received my B.Sc. in Electrical Engineering from the University of Tehran. My research focuses on recommender systems, multi agent reinforcement learning, and opinion dynamics.

✉️ atefeh@ucsd.edu

Publications

1. The Feedback Loop Between Recommendation Systems and Reactive Users
   A. Mollabagher, P. Naghizadeh. American Control Conference (ACC’25), 2025.

2. Reactive Users vs. Recommendation Systems: An Adaptive Policy to Manage Opinion Drifts
   A. Mollabagher, P. Naghizadeh. Under review, 2025.

Ongoing projects

• Multi-Agent RL for Recommender–User Interaction. Building a framework where both RS and users are adaptive agents; studying drift, fairness–accuracy trade-offs, and platform interventions.
• Recommendation–User Feedback Loops. Modeling closed-loop dynamics and mitigation policies (deterministic + stochastic) with convergence and robustness analysis.

Teaching

• TA, ECE 250 – Random Processes (Fall 2025), UC San Diego. Led discussions, rubrics, and grading.
• TA, ECE 153 – Probability & Random Processes for Engineers (Spring 2025), UC San Diego. Led discussions, rubrics, and grading.