Mahsa Noroozi, M. Sc.

Mahsa Noroozi, M. Sc.
Mahsa Noroozi, M. Sc.
  • Persönliche Informationen

    Curriculum Vitae

    Mahsa Noroozi received her Msc. degree in computer science from the Gottfried Wilhelm Leibniz Universität Hannover in February 2020.

    Since March 2020 she is working as a research assistant towards a doctoral degree (Dr.-Ing.) at the Institut für Kommunikationstechnik of the Gottfried Wilhelm Leibniz Universität Hannover.

    Research Interests

    • IoT
    • Network theory
    • Time Sensitive Networking (TSN)
    • Communication protocols
    • Networked control systems
    • Networked predictive control
       

    Teaching

    • Network Calculus WiSe 2023/2024
    • Labor Rechnernetze WiSe 2023/2024
    • Proseminar Kommunikationsnetze WiSe 2023/2024
    • Nachrichtenverkehrstheorie WiSe 2021/2022
    • Nachrichtenverkehrstheorie WiSe 2022/2023
    • Rechnernetze SoSe 2020
    • Rechnernetze SoSe 2021
  • Publikationsliste

    Zeitschriftenbeiträge

    • Markus Fidler, Jaya Champati, Joerg Widmer, Mahsa Noroozi (2023): Statistical Age-of-Information Bounds for Parallel Systems: When Do Independent Channels Make a Difference?IEEE Journal on Selected Areas in Information Theory
      DOI: 10.1109/JSAIT.2023.3328766

    Konferenzbeiträge

    • Mahsa Noroozi, Flavio Gallistl, Majid Noroozi (2023): Performance Evaluation of a New Scheduling Model Using Congestion Window ReservationFICC
      arXiv: 2305.03684
    • Mahsa Noroozi, Kai Wang (2023): Implementation and Evaluation of Networked Model Predictive Control System on Universal RobotICRAE 2023
      arXiv: 2307.09076
    • Mahsa Noroozi, Markus Fidler (2022): A Min-plus Model of Age-of-Information with Worst-case and Statistical BoundsICC 2022
      DOI: 10.1109/ICC45855.2022.9838750
    • Mahsa Noroozi, Markus Fidler (2022): Age-and Deviation-of-Information of Time-Triggered and Event-Triggered SystemsITC 2022
      arXiv: 2206.01428
    • Mahsa Noroozi, Lorenz Kies (2022): Performance Analysis of Universal Robot Control System Using Networked Predictive ControlICRAE 2022
      DOI: 10.1109/ICRAE56463.2022.10056165

    Diplom-/Masterarbeiten

    • Kai Wang (2023): Implementation and Analysis of an Application to Control a Robot Arm Using Model Predictive Control, MA, KN (Betreuerin: Mahsa Noroozi)
    • Flavio Emanuel Agostino Alfredo Gallistl (2022): Selektive Redundanz und Pfadmanagement mit maschinellem Lernen über MP-QUIC, MA, KN (Betreuerin: Mahsa Noroozi)
    • Maria Hasoud (2022): Simulation and Analysis of Low Latency Services for TSN-based Cyber-physical Systems in OMNeT++, MA, KN (Betreuerin: Mahsa Noroozi)
    • Mahsa Noroozi (2020): Implementierung eines Cluster-basierten Systems zur Berechnung von optimierten Netzwerkpfaden (Betreuer: Dr. -Ing. David Dietrich)

    Studien-/Bachelorarbeiten

    • Pascal Pudlowski (2022): Implementierung und Analyse einer Anwendung zur Steuerung eines Roboterarms durch ein zeitverzögertes Netzwerk, BA, KN (Betreuerin: Mahsa Noroozi)
    • Lorenz Kies (2021): Implementation of a Networked Predictive Control System with the Aim of Stabilization Due to the Existence of the Time Delay BA, KN, Betreuerin: Mahsa Noroozi)