World's Best Scientists 2026 revealed!
Asuman Ozdaglar

Asuman Ozdaglar

D-Index & Metrics

Computer Science

D-Index
69
Citations
31204
World Ranking
1924
National Ranking
976

Research.com Recognitions

  • The Science Academy Society of Turkey - Bilim Akademisi Electrical-Electronic Engineering
  • The Science Academy Society of Turkey - Bilim Akademisi Electrical-Electronic Engineering

Overview

Asuman Ozdaglar is affiliated with MIT in the United States and has contributed extensively to the fields of computer science and decision sciences. Their research spans several prominent subfields, including artificial intelligence, management science and operations research, statistical and nonlinear physics, economics and econometrics, and computational mechanics.

The scientist's recent work includes papers such as Personalized Federated Learning: A Meta-Learning Approach (2020, arXiv (Cornell University)), Learning From Reviews: The Selection Effect and the Speed of Learning (2022, Econometrica), Value of Information in Bayesian Routing Games (2020, Operations Research), A Model of Online Misinformation (2023, The Review of Economic Studies), and Graphon Games: A Statistical Framework for Network Games and Interventions (2023, Econometrica).

Frequent coauthors of Asuman Ozdaglar include:

  • Daron Acemoğlu
  • Kaiqing Zhang
  • Alireza Fallah
  • Ali Makhdoumi
  • Azarakhsh Malekian

Common publication venues feature arXiv (Cornell University) with 50 publications, SSRN Electronic Journal with 11, Operations Research with 3, Econometrica with 2, and SIAM Journal on Optimization with 2.

The main topics covered in Ozdaglar's research comprise:

  • Game Theory and Applications
  • Auction Theory and Applications
  • Advanced Bandit Algorithms Research
  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Reinforcement Learning in Robotics
  • Opinion Dynamics and Social Influence

Their body of work is characterized by an integration of theoretical and applied approaches, addressing challenges in distributed learning, network games, and social influence dynamics.

Among the recognitions received is an award from The Science Academy Society of Turkey - Bilim Akademisi for contributions in Electrical-Electronic Engineering.

Best Publications

  • Distributed Subgradient Methods for Multi-Agent Optimization

    A. Nedic;A. Ozdaglar

  • The Network Origins of Aggregate Fluctuations

    Daron Acemoglu;Vasco M. Carvalho;Asuman E. Ozdaglar;Alireza Tahbaz-Salehi

  • Convex Analysis and Optimization

    Dimitri P. Bertsekas;Angelia Nedić;Asuman E. Ozdaglar

  • Constrained Consensus and Optimization in Multi-Agent Networks

    A. Nedic;A. Ozdaglar;P.A. Parrilo

  • Bayesian Learning in Social Networks

    Daron Acemoglu;Munther A. Dahleh;Ilan Lobel;Asuman Ozdaglar

  • Opinion Dynamics and Learning in Social Networks

    Daron Acemoglu;Asuman E. Ozdaglar

  • On distributed averaging algorithms and quantization effects

    A. Nedic;A. Olshevsky;A. Ozdaglar;J.N. Tsitsiklis

  • Spread of (mis)information in social networks

    Daron Acemoglu;Asuman E. Ozdaglar;Ali Parandehgheibi

  • Opinion Fluctuations and Disagreement in Social Networks

    Daron Acemoğlu;Giacomo Como;Fabio Fagnani;Asuman Ozdaglar

  • Subgradient Methods for Saddle-Point Problems

    Angelia Nedic;Asuman E. Ozdaglar

  • Distributed Alternating Direction Method of Multipliers

    Ermin Wei;Asuman Ozdaglar

  • Optimal Pricing in Networks with Externalities

    Ozan Candogan;Kostas Bimpikis;Asuman Ozdaglar

  • Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods

    Angelia Nedić;Asuman Ozdaglar

  • Personalized Federated Learning: A Meta-Learning Approach

    Alireza Fallah;Aryan Mokhtari;Asuman E. Ozdaglar

  • On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers

    Ermin Wei;Asuman Ozdaglar

  • Distributed Subgradient Methods for Convex Optimization Over Random Networks

    I Lobel;A Ozdaglar

  • Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach

    Alireza Fallah;Aryan Mokhtari;Asuman E. Ozdaglar

  • Binary Opinion Dynamics with Stubborn Agents

    Ercan Yildiz;Asuman Ozdaglar;Daron Acemoglu;Amin Saberi

  • Routing and wavelength assignment in optical networks

    Asuman E. Ozdaglar;Dimitri P. Bertsekas

  • Competition and Efficiency in Congested Markets

    Daron Acemoglu;Asuman Ozdaglar

  • Spread of Misinformation in Social Networks

    Daron Acemoglu;Asuman E. Ozdaglar;Ali ParandehGheibi

Frequent Co-Authors

Atilla Eryilmaz
Atilla Eryilmaz The Ohio State University
Angelia Nedic
Angelia Nedic Arizona State University
Aryan Mokhtari
Aryan Mokhtari The University of Texas at Austin
Ishai Menache
Ishai Menache Microsoft (United States)
Anna Scaglione
Anna Scaglione Cornell University

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