Department Head, EECS
School of Engineering Distinguished Professor of Engineering
- METU, BS, Electrical and Electronics Engineering, 1996
- MIT, SM, Electrical Engineering and Computer Science, 1998
- MIT, PhD, Electrical Engineering and Computer Science, 2003
Since completing her graduate studies at MIT in 2003, Dr. Ozdaglar has been a faculty member in the Electrical Engineering and Computer Science Department at MIT. She is affiliated with LIDS and the Operations Research Center. Her research focuses on problems that arise in the analysis and optimization of large-scale dynamic multi-agent networked systems including communication networks, transportation networks, and social and economic networks.
Book and Book Chapters:
- A. Ozdaglar and R. Srikant, “Incentives and Pricing in Communication Networks,” in Algorithmic Game Theory, Noam Nisan, Tim Roughgarden, Eva Tardos, and Vijay Vazirani, eds., Cambridge University Press, 2007.
- D. Bertsekas, A. Nedic, and A. Ozdaglar, Convex Analysis and Optimization, Athena Scientific, Cambridge, Mass., 2003.
- D. Acemoglu, M.A. Dahleh, I. Lobel, and A. Ozdaglar, “Bayesian Learning in Social Networks,” LIDS report 2780, 2009.
- A. Nedic, A. Olshevsky, A. Ozdaglar, and J.N. Tsitsiklis, “On Distributed Averaging Algorithms and Quantization Effects,” to appear in IEEE Transactions on Automatic Control, 2009.
- A. Nedic and A. Ozdaglar, “Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods,” to appear in SIAM Journal on Optimization, 2009.
- D. Acemoglu, K. Bimpikis, and A. Ozdaglar, “Price and Capacity Competition,” Games and Economic Behavior, vol. 66, no. 1, pp. 1-26, 2009.
- N. Stein, A. Ozdaglar, and P.A. Parrilo, “Separable and Low-Rank Continuous Games,” International Journal of Game Theory, vol. 37, no. 4, pp. 475-504, 2008.
- D. Acemoglu and A. Ozdaglar, “Competition and Efficiency in Congested Markets,” Mathematics of Operations Research, vol. 32, no. 1, pp. 1-31, 2007.
- A. Simsek, A. Ozdaglar and D. Acemoglu, “Generalized Poincare-Hopf Theorem for Compact Nonsmooth Regions,” Mathematics of Operations Research, vol. 32, no. 1, pp. 193-214, 2007.
- A. Jadbabaie, A. Ozdaglar, and M. Zargham, “A Distributed Newton Method for Network Optimization,” Proceedings of the IEEE Conference on Decision and Control (CDC), 2009.
- P. Njoroge, A. Ozdaglar, N. Stier-Moses, and G. Weintraub, “Competition, Market Coverage, and Quality Choice in Interconnected Platforms,” Proceedings of the Workshop on the Economics of Networked Systems (NetEcon), 2009.
- I. Lobel and A. Ozdaglar, “Convergence Analysis of Distributed Subgradient Methods over Random Networks,” Proceedings of the Allerton Conference on Communication, Control, and Computing, 2008.
- Microsoft Fellow 2001
- Graduate Student Council Teaching Award for the School of Engineering, MIT 2004
- NSF CAREER Award 2005
- Class of 1943 Career Development Chair 2006
- AACC Donald P. Eckman Award 2008
- NSF Career Grant, “Distributed Multi-agent Control and Optimization: Where Game Theory Meets Network Optimization.”
- AFOSR/MURI, “Distributed Learning and Information Dynamics in Networked Autonomous Systems," joint with Profs. Shamma, Balcan (Gatech), Abed, Baras, Martins (UMaryland),Young (UOxford), and Dahleh, Kaelbling (MIT).
- AFOSR, “Dynamics of Beliefs, Culture, and Social Interactions,” joint with Profs.
- Acemoglu, Dahleh (MIT), and Shamma (Gatech).
- NSF, “Optimization and Control of Stochastic Wireless Networks,” joint with Prof. Parrilo (MIT).
- DARPA, “Control of Mobile Ad-hoc Networks,” joint with Prof. Medard (MIT).
- DARPA, “ITMANET, the FLoWS project,” joint with Profs. Goldsmith, Boyd, Johari (Stanford), Effros (Caltech), Coleman, Meyn, Moulin (UIUC), and Medard, Shah, Zheng (MIT).
- NSF, “An Analytic Framework for Political and Social Change: Conflict, Beliefs, and Dynamics,” joint with Profs. Acemoglu, Dahleh, and Shah (MIT).
- NSF, “Future Optical Network Architectures,” joint with Profs. Chan and Shah (MIT).
- 6.207/14.15: Networks
- 6.254: Game Theory with Engineering Applications
- 6.252: Nonlinear Programming
- 6.251/15.081: Introduction to Mathematical Programming
- 6.231: Dynamic Programming and Stochastic Control
- 6.041: Probabilistic Systems Analysis
- 6.011: Introduction to Communication, Control, and Signal Processing