Asu Ozdaglar

Asu Ozdaglar is the deputy dean of academics for the MIT Schwarzman College of Computing. She is also the Head and Mathworks Professor in MIT’s Department of Electrical Engineering and Computer Science. Ozdaglar is also a member of the Laboratory for Information and Decision Systems (LIDS) and the Operations Research Center. Her research focuses on optimization for machine learning and new models and algorithms for the analysis and optimization of multi-agent dynamic networks (including technological, social and economic networks). Ozdaglar received a BS in electrical and electronics engineering from Middle East Technical University, and a PhD in electrical engineering and computer science from MIT.

Publications

• Farnia, F., Ozdaglar, A. (2020). Do GANs always have Nash equilibria?. International Conference on Machine Learning (ICML).
• Fallah, A., Mokhtari, A., Ozdaglar, A. (2020). On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms. International Conference on Artificial Intelligence and Statistics (AISTATS).
• Aybat, N. S., Fallah, A., Gürbüzbalaban, M., Ozdaglar, A. (2019). A Universally Optimal Multistage Accelerated Stochastic Gradient Method. Conference on Neural Information Processing Systems (NeurIPS).
• Acemoglu, D., Makhdoumi, A., Malekian, A., Ozdaglar, A. (2019). Too Much Data: Prices and Inefficiencies in Data Markets. National Bureau of Economic Research Working Paper Series.
• Parise, F., Ozdaglar, A. (2019). Graphon Games: A statistical framework for network games and interventions. SSRN 3437293.

Media

• December 8, 2017: MIT News, Asu Ozdaglar named head of Department of Electrical Engineering and Computer Science.
• May 31, 2017: MIT News, LIDS Smart Urban Infrastructures Workshop highlights emerging research.
• April 7, 2016: MIT News, Using data from social networks to understand and improve systems.
• August 7, 2015: MIT News, MIT researchers awarded grants from new Siebel Energy Institute.