Emir Ceyani

PhD Student at University of Southern California

Emir Ceyani | PhD Student at University of Southern California

I am a fourth year PhD student in Electrical Engineering at the Universoty of Southern California, working with Prof. Salman Avestimehr. My research focuses on the intersection of federated learning and graph machine learning. Recently, I have a keen interest in generative flow networks and conformal prediciton. I have been selected as a 2025 North America Finalist at the Qualcomm Innovation Fellowship.

Research Topics

Federated Learning
GFlowNets
Graph Neural Networks
Uncertainty Estimation
Probabilistic Modeling
AI For Science
Conformal Prediction
LLM Reasoning

My Contributions +

Recent News

Ultimately, I am driven by a deep interest in understanding and defining intelligence, whether it's in animals or artificial systems. While I'm excited about the potential of AI, I'm also mindful of its limitations and potential pitfalls – I'm definitely not a technosolutionist.

Before my current role, Before joining USC, I received my MSc and BSc degrees from the Electrical Engineering at Bilkent University as a Senior Researcher in 2018 and 2020 respectively.