Associate Professor of Electrical Engineering
Chambers Faculty Scholar in the School of Engineering

Packard Electrical Engineering
350 Jane Stanford Way, Room 261
Stanford, California 94305-9510
E-mail:  aozgur@stanford.edu
Phone: +1 650 723 7368


I am an associate professor in the Electrical Engineering Department of Stanford University and a member of ISL. Before joining Stanford, I was a postdoctoral researcher with the Algorithmic Research on Networked Information Group at EPFL, Switzerland. I received my PhD degree in October, 2009 from the Information Processing Group at the same university. I received my B.Sc. degrees in electrical engineering and physics from Middle East Technical University, Turkey, in 2001 and the M.Sc. degree in electrical engineering from the same university in 2004. From 2001 to 2004, I worked as a hardware design engineer for the Defense Industries Research and Development Institute in Turkey.

My Thesis
Google Scholar


My current research interests are in information theory, wireless communication and networks, distributed estimation and learning. Here are a few representative papers on topics I have been recently interested in:

Distributed Estimation, Inference and Learning:
  • L. Barnes, Y. Han, A. Ozgur, Learning Distributions from their Samples under Communication Constraints, arxiv, 2019.[ pdf]
  • L. Barnes, Y. Han, A. Ozgur, A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation, Proc. IEEE Allerton Conference on Communication, Control, and Computing (Allerton), 2018.[ pdf]
  • Y. Han, A. Ozgur, T. Weissman, Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints, Proceedings of Machine Learning Research, Conference on Learning Theory, 2018.[ pdf]
  • Y. Han, P. Mukharjee, A. Ozgur, T. Weissman, Distributed Statistical Estimation of High-Dimensional and Non-parametric Distributions, Proc. IEEE International Symposium on Information Theory (ISIT), 2018.[ pdf]
  • C. T. Li, X. Wu, A. Ozgur, A. El Gamal, Minimax Learning for Remote Prediction, Proc. International Symposium on Information Theory (ISIT), 2018. [ pdf]

Geometry and Information Theory:
  • X. Wu, L. Barnes, A. Ozgur, "The Capacity of the Relay Channel": Solution to Cover's Problem in the Gaussian case, IEEE Transactions on Information Theory, Jan 2019.[ pdf]
  • L. Barnes, A. Ozgur, X. Wu, An Isoperimetric Result on High-dimensional Spheres, submitted 2018.[ pdf]
  • J. Liu, A. Ozgur, Capacity Upper Bounds for the Relay Channel via Reverse Hypercontractivity, submitted 2018.[ pdf]
  • X. Wu, A. Ozgur, Cut-Set Bound Is Loose for Gaussian Relay Networks, IEEE Transactions on Information Theory, Feb. 2018. [ pdf]

Group Testing and Massive Random Acess:
  • H. Inan, P. Kairouz, A. Ozgur, M. Wootters, On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing, Proc. IEEE Allerton Conference on Communication, Control, and Computing (Allerton), 2018.[ arXiv]
  • H. Inan, P. Kairouz, A. Ozgur, Sparse Combinatorial Group Testing for Low-energy Massive Random access, Proc. IEEE 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2017. [ arXiv]

Energy Harvesting and Remotely Powered Communications:
  • D. Shaviv and A. Ozgur, Universally Near Optimal Online Power Control for Energy Harvesting Nodes, IEEE Journal on Selected Areas in Communications, Dec. 2016.[ pdf]
  • D. Shaviv, A. Ozgur, and H. Permuter, Capacity of Remotely Powered Communications, IEEE Transactions on Information Theory, March 2017.[ pdf]
  • D. Shaviv, A. Ozgur, A. Arbabian, Communication with Crystal-Free Radios, IEEE Transactions on Communication, November 2018.[ pdf]
  • D. Shaviv and A. Ozgur, Online Power Control for Block i.i.d. Energy Harvesting Channels, IEEE Transactions on Information Theory, August 2018.[ pdf]


    Current Members:
    • Huseyin Inan (PhD Student)
    • Leighton Barnes (PhD Student)
    • Chuan-Zheng Lee (PhD Student)
    • Cem Kalkanli (PhD Student)
    • Daria Reshetova (PhD Student)

    Former Members:
    • Ritesh Kolte (PhD 2016, now at The Voleon Group)
    • Pritam Mukherjee (Post-doc 2017, now at Stanford Center for Biomedical Informatics)
    • Ayan Sengupta (Post-doc 2016-2017, now at Qualcomm)
    • Xiugang Wu (Post-doc 2015-2018, now at the University of Delaware)
    • Peter Kairouz (Post-doc 2016-2018, now at Google AI)
    • Dor Shaviv (PhD 2018, now at Lyft, Level 5, Self-Driving Division)

    • Open Positions: I am looking for students and postdocs with strong mathematical background and interest in theoretical work to join my research group. If you are an admitted Stanford PhD student, please send me an email with your CV. I apologize I am unable to respond to all inquiries from prospective students and postdocs.


Current NSF Projects