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- Tamer Basar

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
66
Citations
18,442
342
World Ranking
364
National Ranking
191

2014 - IEEE Control Systems Award “For seminal contributions to dynamic games, stochastic and risk-sensitive control, control of networks, and hierarchical decision making.”

2012 - SIAM Fellow For contributions to dynamic game theory and application to robust control of systems with uncertainty.

2006 - Richard E. Bellman Control Heritage Award

2005 - Fellow of the International Federation of Automatic Control (IFAC)

2000 - Member of the National Academy of Engineering For development of dynamic game theory and application to robust control of systems with uncertainty.

1983 - IEEE Fellow For contributions to multiperson decision making and deterministic and stochastic dynamic game theory.

- Computer network
- Artificial intelligence
- Statistics

Tamer Basar focuses on Mathematical optimization, Game theory, Nash equilibrium, Control theory and Distributed computing. His work on Stochastic control as part of general Mathematical optimization research is frequently linked to Context, bridging the gap between disciplines. In general Game theory, his work in Game theoretic is often linked to Smart grid linking many areas of study.

Nash equilibrium is a subfield of Mathematical economics that Tamer Basar investigates. Tamer Basar has included themes like State and Estimator in his Control theory study. His work carried out in the field of Distributed computing brings together such families of science as Network congestion, Stochastic game, Intrusion detection system, The Internet and Computer network.

- Dynamic Noncooperative Game Theory (3322 citations)
- Coalitional game theory for communication networks (768 citations)
- Quantized consensus (622 citations)

Mathematical optimization, Control theory, Nash equilibrium, Game theory and Optimal control are his primary areas of study. His Mathematical optimization study integrates concerns from other disciplines, such as Stackelberg competition, Stochastic process, Decision problem and Function. His Bounded function research extends to Control theory, which is thematically connected.

Nash equilibrium is a subfield of Mathematical economics that he explores. Tamer Basar is interested in Repeated game, which is a branch of Mathematical economics. As part of one scientific family, Tamer Basar deals mainly with the area of Game theory, narrowing it down to issues related to the Computer network, and often Wireless.

- Mathematical optimization (33.99%)
- Control theory (17.55%)
- Nash equilibrium (16.06%)

- Mathematical optimization (33.99%)
- Nash equilibrium (16.06%)
- Reinforcement learning (3.83%)

His scientific interests lie mostly in Mathematical optimization, Nash equilibrium, Reinforcement learning, Discrete mathematics and Stackelberg competition. His Mathematical optimization research includes themes of Function, Control and Control theory. His Nash equilibrium study is focused on Mathematical economics in general.

His Reinforcement learning study incorporates themes from Convergence and Algorithm. His studies in Convergence integrate themes in fields like Telecommunications network and Sequence. Many of his studies on Discrete mathematics apply to Combinatorics as well.

- Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. (126 citations)
- Demand Response Management in the Smart Grid in a Large Population Regime (115 citations)
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents (85 citations)

- Computer network
- Artificial intelligence
- Statistics

Tamer Basar mostly deals with Mathematical optimization, Reinforcement learning, Discrete mathematics, Nash equilibrium and Convergence. His Mathematical optimization study combines topics from a wide range of disciplines, such as Stackelberg competition, Stochastic process and Discrete time and continuous time. His work deals with themes such as Algorithm, Control theory and Nonlinear system, which intersect with Reinforcement learning.

His Nonlinear system research incorporates themes from Telecommunications network and Theoretical computer science. His Discrete mathematics research is multidisciplinary, incorporating elements of Distributed algorithm and Graph, Combinatorics. Nash equilibrium is a primary field of his research addressed under Mathematical economics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Dynamic Noncooperative Game Theory

Tamer Başar;Geert Jan Olsder.

**(1982)**

6806 Citations

Coalitional game theory for communication networks

W. Saad;Zhu Han;M. Debbah;A. Hjorungnes.

IEEE Signal Processing Magazine **(2009)**

934 Citations

Coalitional Game Theory for Communication Networks: A Tutorial

Walid Saad;Zhu Han;Merouane Debbah;Are Hjørungnes.

arXiv: Information Theory **(2009)**

809 Citations

H-Optimal Control and Related Minimax Design Problems

Tamer Başar;Pierre Bernhard.

**(1991)**

791 Citations

Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications

W. Saad;Zhu Han;H. V. Poor;T. Basar.

IEEE Signal Processing Magazine **(2012)**

786 Citations

Quantized consensus

Akshay Kashyap;Tamer Başar;R. Srikant.

Automatica **(2007)**

743 Citations

Dynamic Noncooperative Game Theory, 2nd Edition

Tamer Başar;Geert Jan Olsder.

**(1998)**

683 Citations

Optimal control of LTI systems over unreliable communication links

Orhan C. Imer;Serdar Yüksel;Tamer Başar.

Automatica **(2006)**

633 Citations

CDMA uplink power control as a noncooperative game

Tansu Alpcan;Tamer Başar;R. Srikant;Eitan Altman.

Wireless Networks **(2002)**

629 Citations

Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach

S. Maharjan;Quanyan Zhu;Yan Zhang;S. Gjessing.

IEEE Transactions on Smart Grid **(2013)**

595 Citations

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Publications: 90

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