Hello! I’m Fatemeh Doudi, a Ph.D. student in the Department of Electrical and Computer Engineering at Texas A&M University, where I work under the supervision of Prof. Dileep Kalathil. My research focuses on generative models—including diffusion models, transformers, and state space architectures—with experience in RL-based fine-tuning, alignment methods, and in-context learning.

Previously, I earned my Master’s degree from Sharif University of Technology in Tehran, Iran. There, I worked on delay analysis in distributed computing under the supervision of Prof. Farid Ashtiani and Prof. Mohammad Ali Maddah-Ali.

You can download my CV from here.

News

• [May 2025]: Our paper “Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models” is now available on arXiv!
• [Dec 2024]:Our paper “PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power Systems” is now on arXiv!
• [Oct 2024]: I presented our paper, “Impact of Simulated Climate Data on Wind Power Prediction and Long-Term Grid Planning” in NAPS 2024!
• [June 2024]: Our paper, “Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector,” is now published in Joule.