Ayfer Ozgur

Ayfer Ozgur is an Associate Professor of Electrical Engineering at Stanford University and a Chambers Faculty Scholar in the School of Engineering. She holds a Ph.D. from EPFL (2009) and B.S./M.S. degrees from Middle East Technical University. Her research focuses on information theory, wireless communication, distributed estimation, and machine learning, with notable contributions to federated learning, privacy-aware systems, and energy-efficient networks.

Education: Ph.D., EPFL (2009); M.S., Middle East Technical University (2005); B.S. in Electrical Engineering and Physics (2001).

Research Interests:

• Information Theory and Geometry
• Wireless Networks and Communication
• Federated Learning and Privacy
• Energy Harvesting Systems
• Distributed Estimation and Learning

Publications Trends: Ozgur's work emphasizes theoretical foundations of decentralized data science, privacy-utility trade-offs, and geometric approaches to information theory. Recent articles explore over-the-air statistical estimation, federated learning with secure aggregation, and optimal compression under privacy constraints.

Awards: Recipient of the IEEE CTTC Early Achievement Award (2018), Okawa Foundation Award (2018), and NSF Career Award (2013).

Advising & Grants: Supervises doctoral and master's students in distributed systems and machine learning. Current NSF projects include 'Foundations of Decentralized Data Science' and 'Geometric Network Information Theory.'

Labs/Teams: Leads a research group with active members in theoretical and applied communication systems, collaborating with industry partners like Google and META.