Vladimir Marbukh (Fed)

Publications

Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress

May 1, 2024

Author(s)

Vladimir Marbukh

This paper proposes a distributed Green Network Optimization (GNO) with Multi-Agent Reinforcement Learning (MARL). GNO-MARL combines: (a) Network Utility

Simulating Job Replication Versus its Energy Usage

December 10, 2023

Author(s)

Brian D. Cloteaux, Vladimir Marbukh

Due to the proliferation of computers in all aspects of our lives, the energy and ecological impacts of computing are becoming increasing important. Some of the

Impact of the Exposure Time and Distance Thresholds on the Performance of Automatic Contact Tracing

October 23, 2023

Author(s)

Brian D. Cloteaux, Vladimir Marbukh, Kamran Sayrafian

Automatic exposure notification apps operate based on guidelines that specify distance and time thresholds to measure the occurrence of contacts with infected

Impact of Using Soft Exposure Thresholds in Automatic Contact Tracing

December 21, 2022

Author(s)

Kamran Sayrafian, Brian D. Cloteaux, Vladimir Marbukh

Current automatic exposure notification apps primarily operate based on hard distance/time threshold guidelines (e.g., 2 m/15 min in the United States) to

On the Performance of Automatic Exposure Determination Using Bluetooth-based Proximity Estimation

August 11, 2022

Author(s)

Kamran Sayrafian, Brian D. Cloteaux, Vladimir Marbukh

The proximity detection mechanism in current automatic exposure notification systems is typically based on the Bluetooth signal strength from the individual's

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Created October 9, 2019, Updated December 8, 2022