RESEARCH
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]
TEACHING
GROUP
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.
AWARDS
Current NSF Projects
NeTS: Small: Massive Wireless Random Access: Principles and Protocols
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