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Hyerin Kim

I’m currently pursuing my Ph.D. in Computer Science at the Technical University of Munich under the supervision of Prof. Jörg Ott.

I received my M.S. in Computer Science and Engineering from Seoul National University, South Korea, where I was advised by Prof. Wha Sook Jeon. My master’s research focused first on resource allocation for device-to-device C-V2X sidelink communication, and later on designing an optimization framework for MAC-layer resource scheduling at the QoS-flow level.

I obtained my B.S. in Computer Science and Engineering from Sogang University, South Korea. As an undergraduate researcher under Prof. Jungmin So, I conducted research on improving spatial reuse in dense Wi-Fi environments, and also led several software development projects.

Research Interests

  • Flow-level QoS-aware Resource Allocation at MAC layer
    • Scheduling algorithms to provision QoS for each flow in B5G
    • Applying both optimization-based formulations and reinforcement learning (RL) approaches
  • Distributed Resource Allocation in Wireless Networks
    • Addressing exposed and hidden terminal problems
    • Improving overall performance by estimating the states of neighboring devices
  • Cross-layer System-level Orchestration for Multi-flow Resource Allocation
    • Establishing slicing policies by aggregating information of flows within each slice
    • Leveraging orchestration frameworks such as O-RAN to optimize the interactions between MAC-layer parameters and application-layer requirements (further study)

Publications

Conference Papers

DRILL-Q: Delay-Responsive Intelligent Learning for Latency-sensitive QoS
Hyerin Kim, Katerina Koutlia, Biljana Bojović, Amir Ashtari, and Gabriel Ferreira
Proceedings of the 34th International Conference on Computer Communications and Networks (ICCCN),   Aug. 2025
DOI

Evolving 5G-LENA Towards 6G: Integrating AI for Intelligent Scheduling of Multi-Flow Traffic
Hyerin Kim, Katerina Koutlia, Biljana Bojović, Amir Ashtari, and Gabriel Ferreira
ICNS3 ‘25: Proceedings of the 2025 International Conference on ns-3,   Aug. 2025
DOI

Journal Papers

Improving Spatial Reuse of Wireless LANs using Contextual Bandits
Hyerin Kim, Gwanwoo Na, Heeseon Im, and Jungmin So
IEEE Transactions on Wireless Communications,   Nov. 2023
DOI • self review

Improving Spatial Reuse of Wireless LAN Uplink Using BSS Color and Proximity Information
Hyerin Kim and Jungmin So
MDPI Applied Sciences   Nov. 2021
DOI • self review

Projects

Enhancement of RL Approach Accessibility in NR
Contributor to Google Summer of Code (GSoC) with ns-3,   2024
wiki • posts • repository

Visual Analytics System for Real data-based Wi-Fi Performance (VisRWP)
Project Lead, in the Information Visualization and Visual Analytics class,   2023
repository

One-Touch Travel Planning Service, Triget
Project Lead & Backend Developer, as part of the 13th Software Maestro program,   2022
repository

Recent News

  • 01 Sep 🚀 Started PhD at Technical University of Munich (TUM)

  • 28 Aug 🎓 Received M.S. in Computer Science from Seoul National University

  • 20 Aug 📄 Presenting at ICNS3 Conference, Osaka, Japan

    Topic: "Evolving 5G-LENA Towards 6G: Integrating AI for Intelligent Scheduling of Multi-Flow Traffic", published in ACM International Conference on ns-3

  • 05 Aug 📄 Presenting at IEEE ICCCN, Tokyo, Japan

    Topic: "DRILL-Q: Delay-Responsive Intelligent Learning for Latency-sensitive QoS", published in IEEE International Conference on Computer Communications and Networks

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