Description of impact
We study the performance of processes acting on complex networks. In collaboration with industrial partners, we develop signals for delays in multi-layered supply chains. On energy networks, we study and understand the performance of policies and develop algorithms for a fair and efficient allocation of resources.| Category of impact | Research Topic/Theme (at group level) |
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Related content
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Research output
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Heavy-traffic approximations for a layered network with limited resources
Research output: Contribution to journal › Article › Academic › peer-review
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Electric vehicle charging: A queueing approach
Research output: Contribution to journal › Article › Academic › peer-review
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Bounds and limit theorems for a layered queueing model in electric vehicle charging
Research output: Contribution to journal › Article › Academic › peer-review
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A stochastic resource-sharing network for electric vehicle charging
Research output: Contribution to journal › Article › Academic
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Simulation study for the comparison of power flow models for a line distribution network with stochastic load demands
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Complete resource pooling of a load balancing policy for a network of battery swapping stations
Research output: Contribution to journal › Article › Academic
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Insensitivity of proportional fairness in critically loaded bandwidth sharing networks
Research output: Contribution to journal › Article › Academic
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Stochastic networks for electric vehicle charging
Research output: Contribution to conference › Poster
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Bounds and limit theorems for a layered queueing model in electric vehicle charging
Research output: Contribution to journal › Article › Academic
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A stochastic resource-sharing network for electric vehicle charging
Research output: Contribution to journal › Article › Academic › peer-review
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Separation of timescales in a two-layered network
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Asymptotic analysis of Emden–Fowler type equation with an application to power flow models
Research output: Contribution to journal › Article › Academic › peer-review
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A fluid model of an electric vehicle charging network
Research output: Contribution to journal › Article › Academic
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Maximum waiting time in heavy-tailed fork-join queues
Research output: Contribution to journal › Article › Academic
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Comparison of stability regions for a line distribution network with stochastic load demands
Research output: Contribution to journal › Article › Academic
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Complete resource pooling of a load-balancing policy for a network of battery swapping stations
Research output: Contribution to journal › Article › Academic › peer-review
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Large fork-join networks with nearly deterministic service times
Research output: Contribution to journal › Article › Academic
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Projects
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600.649.000.10N006 Vlasiou NWO/RGC Grant Joint Research Scheme
Project: Research direct
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Complexity in Transport and Logistics
Project: Research direct
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Stochastic processes driven by non-convex resource allocation problems
Project: Research direct
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Activities
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Layered and interacting queues
Activity: Talk or presentation types › Invited talk › Scientific
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Heavy-traffic approximations for a layered network with limited resources
Activity: Talk or presentation types › Invited talk › Scientific
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California Institute of Technology
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific
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Hong Kong University of Science and Technology
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific
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Queues on interacting networks
Activity: Consultancy types › Outreach › Popular
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Simons Institute for the Theory of Computing
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific
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Hong Kong University of Science and Technology
Activity: Visiting an external institution types › Visiting an external academic institution › Scientific