Gokce Dayanikli

Assistant Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Gokce Dayanikli is currently serving as an Industrial And Enterprise Systems Engineering Assistant Professor at Uiuc.

Honors

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Experiences

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Education

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Gokce Dayanikli

UIUC

Assistant Professor

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game theory mean field games applied mathematics stochastic games mathematical optimization algorithmic game theory computer science mechanism design computational intelligence control optimization computational game theory equilibrium problem non-cooperative game theory nash equilibrium multiagent systems stochastic process climate policy greenhouse gas control economic modelling machine learning research carbon emission trading environmental science statistics environmental impact of the energy industry mathematical bioscience policy modeling carbon accounting carbon pricing multi-agent learning cooperative game theory network games network evolution finite state space mean field mean field models nash equilibria large number green regulator mathematical biology sustainable energy energy economics energy research energy strategies energy institute sustainable energy technologies theoretical biology environmental impact assessment environmental planning stochastic dynamics emission reduction emission control imperfect information game life expectancy population aging recurrent neural networks stochastic optimization learning control computational epidemiology infectious disease modelling epidemic intelligence social distancing differential games general game playing market equilibrium information propagation information diffusion rumor spreading optimal incentives multiple major players carbon emission regulations stackelberg mfg machine learning method fictitious play gdp per capita social optimum neural network architectures finance ai foundation financial engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Stackelberg Mean Field Game for Green Regulator With a Large Number of Prosumers. 2022 American Control Conference (ACC) (2025)

Maxim BichuchGökçe DayanıklıMathieu Laurière

systems engineeringmechanism designcontrol systemsequilibrium problemalgorithmic game theorymathematical optimizationmean field gamesstochastic gameslarge numbercontrol optimizationgame theoryapplied mathematicsenergy managementgreen regulator

Modeling of Rumor Propagation in Large Populations With Network via Graphon Games. 2022 American Control Conference (ACC) (2025)

Huaning LiuGökçe Dayanıklı

rumor spreadingcommunicationglobal networksgraph theorysocial network analysisinformation propagationgraphon gamesnetwork sciencedata scienceinformation diffusionsocial simulationnetwork gamesnetwork evolutionnetwork analysislarge populationsrumor propagation

A Machine Learning Method for Stackelberg Mean Field Games. Mathematics of Operations Research (2024)

Gökçe DayanıklıMathieu Laurière

stackelberg mfgmachine learningmathematical optimizationmean field gamesstochastic gamesmachine learning methodartificial intelligencecontrol optimizationmulti-agent learningmean fieldglobal optimizationgame theorymachine learning researchcomputational intelligenceapplied mathematicsneural network (machine learning)computer science

A Stackelberg Mean Field Game for Green Regulator With a Large Number of Prosumers. (2024)

Maxim BichuchGökçe DayanıklıMathieu Lauriere

How Can the Tragedy of the Commons Be Prevented?: Introducing Linear Quadratic Mixed Mean Field Games. arXiv (Cornell University) (2024)

Dayanikli, GokceLauriere, Mathieu

decision makingequilibrium problemstochastic gamesnon-cooperative game theorygame theorymathematicsdifferential gameseconomic behavioreconomic theoryordinary differential equationsmean field gameseconomicspolicy modelingstochastic processapplied mathematicsmixed population mfgseconomic modellingeconomic dynamicssocial choicetheoretical economics

Learning Discrete-Time Major-Minor Mean Field Games. Proceedings of the AAAI Conference on Artificial Intelligence (2024)

Kai CuiGökçe DayanıklıMathieu LaurièreMatthieu GeistOlivier PietquinHeinz Koeppl

mathematical programmingalgorithmic game theorymathematical optimizationfictitious playmean field gamesstochastic gamesimperfect information gamemean fieldcomputational game theorymultiagent systemsgame theorystochastic processapplied mathematicscomputer sciencemathematicsprobability theorystochastic partial differential equations

Machine Learning Methods for Large Population Games With Applications in Operations Research. arXiv (Cornell University) (2024)

Gökçe DayanıklıMathieu Laurière

machine learninglarge population gamesstochastic gamesartificial intelligencemachine learning methodscomputational game theorygame theorymachine learning researchdata sciencecomputational intelligencecomputer sciencegeneral game playingoperations research

Multi-Population Mean Field Games With Multiple Major Players: Application to Carbon Emission Regulations. 2022 American Control Conference (ACC) (2024)

Gökçe DayanikliMathieu Laurière

environmental impact assessmentcarbon accountingcarbon emission tradingmean field gamescarbon emission regulationsenvironmental impact of the energy industryclimate policyenvironmental sciencecarbon footprintenvironmental policyenvironmental economicsgreenhouse gas controlenvironmental resource managementmultiple major playersenvironmental planningagricultural economics

Deep Learning for Population-Dependent Controls in Mean Field Control Problems With Common Noise. arXiv (Cornell University) (2023)

Dayanikli, GokceLauriere, MathieuZhang, Jiacheng

population-dependent controlsneural network (machine learning)machine learningstochastic optimizationrecurrent neural networksartificial intelligencecontrol optimizationdeep learninglearning controlmachine learning researchdata scienceapplied mathematicscomputational intelligencecomputer scienceneural network architectures

Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling. 2018 Winter Simulation Conference (WSC) (2023)

Mohammad DehghanimohammadabadaiGökçe Dayanıklı

public healthcommunicable diseasesinfectious disease modellingrisk managementpublic health preparednesshumanitarian logisticsgame theoretical setupcovid-19mean field gamesepidemiologyepidemic intelligencemodeling and simulationrational responsecomputational epidemiologysocial distancinginfectious diseases (medical specialty)operations research