NetGCoop 2026: International Conference on Networks, Games, Control and Optimization

TOPICS OF INTEREST

The areas of interest include (but are not limited to):

Methodological Foundations

– Game Theory: differential, mean-field, and algorithmic games; network formation and routing
– Optimization & Control-Theoretic Tools: distributed, robust, and stochastic optimization in networks
– Stochastic Modeling & Queueing Theory: analysis; performance evaluation; scheduling and resource allocation
– Learning & Automation: reinforcement learning, data-driven and AI-driven optimization of and for networks

Network Economics & Market Design

– Pricing & Incentives: static and dynamic network pricing; incentives for cooperation
– Auctions & Bargaining: design of auctions; negotiation protocols; contract design in networks
– Digital Markets: ad placement; influence networks; strategic information diffusion
– Economics of Infrastructure: cloud, fog, and edge computing; performance and economics of SDN

Network Applications

– Decentralized Systems: blockchain and distributed ledgers analysis and optimization
– Power & Energy: analysis of smart grids, power networks and decentralized energy markets
– Logistics & Production: supply chains; manufacturing workflows; transportation networks
– Social & Biological Networks: spread dynamics of information or similar concepts; design of intervention strategies
– Wireless: analysis of next-gen networks, IoT, and satellites communications
– Quantum networks: quantum consensus protocols, quantum sensing, quantum communications and error correction
– Trust & Reputation: trust in decentralized environments; strategic reputation games
– Resilience: resource allocation under uncertainty; adversarial attacks; systemic risk
– Sustainability: energy-efficient computing; “green” networks