Dr.-Ing. Anam Tahir
30167 Hannover
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Persönliche Informationen
Curriculum Vitae
Anam Tahir recieved her B.Sc. degree from Pakistan and her M.Sc. degree from TU Darmstadt, both in Electrical Engineering and Information Technology. She then completed her PhD from TU Darmstadt in the Self-Organizing Systems Lab as part of Collaborative Research Centre (CRC) 1053 “MAKI– Multi-Mechanisms Adaptation for the Future Internet”. Her PhD thesis title was ‘Scalable planning in large multi-agent queuing systems’. Since August 2024 she is working as a postdoctoral researcher at Institut für Kommunikationstechnik of the Gottfried Wilhelm Leibniz Universität Hannover.
Research Interest
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Scalable planning in multi-agent communication systems
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Molecular communication.
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Data-driven reinforcement learning.
Teaching
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Supervisor of Seminar on Molecular communication, WiSe 2024-2025
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Teacher of lecture ‘Multi-Agent Communication Systems’, SoSe 2025
Community Activities:
- Reviewer for ComCom
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Publikationsliste
Konferenzbeiträge
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(2024): Collaborative optimization of the age of information under partial observability, IFIP Networking
DOI: 10.23919/IFIPNetworking62109.2024.10619823 -
(2023): Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study
DOI: 10.1109/QoMEX58391.2023.10178579 -
(2022): Learning mean-field control for delayed information load balancing in large queuing systems
DOI: https://doi.org/10.1145/3545008.3545025
ISBN: 978-1-4503-9733-9/22/08 -
(2022): Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms
DOI: 10.1109/CCNC49033.2022.9700712 -
(2022): Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control
DOI: 10.1109/GLOBECOM48099.2022.10001412 -
(2022): Decentralized Coordination in Partially Observable Queueing Networks
DOI: 10.1109/GLOBECOM48099.2022.10001584 -
(2021): Towards QoE-Driven Optimization of Multi-Dimensional Content Streaming
DOI: https://doi.org/10.14279/tuj.eceasst.80 -
(2019): Ultra-Reliable Low Latency Communication for Consensus Control in Multi-Agent Systems
DOI: 10.1109/WCNC.2019.8885936
Dissertationen
Sonstiges
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(2024): Sparse Mean Field Load Balancing in Large Localized Queueing Systems
DOI: https://doi.org/10.48550/arXiv.2312.12973
arXiv: arXiv:2312.12973 -
(2022): A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
DOI: https://doi.org/10.48550/arXiv.2209.03859
arXiv: arXiv:2209.03859
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Forschungsprojekte
