Dr.-Ing. Julian Zobel

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Julian Zobel

Short Bio

Julian studied computer science at TU Darmstadt. From late 2018 to 2022, he was working as a research assistant in the research group "Adaptive Communication Systems" at KOM. Since finishing his PhD thesis focused on autonomous applications of aerial communication networks in disaster situations, Julian pursues his research interests on distributed and infrastructure-independent communication networks, aerial communication support, and aerial network monitoring as a postdoc researcher at KOM. 

 

Publications

  • Julian Zobel and Ralf Steinmetz. "Enabling Information Transmission in Low-Throughput Wireless Channels for Aerial Disaster Monitoring Systems." In: Proc. ISCRAM 2024.
  • Dirk Zeuss et al. "Nature 4.0: A networked sensor system for integrated biodiversity monitoring." In: Global Change Biology, 2024.
  • Julian Zobel. "Aerial Network Assistance Systems for Post-Disaster Scenarios — Topology Monitoring and Communication Support in Infrastructure-Independent Networks". Technische Universität Darmstadt, 2023.
  • Julian Zobel, Paul Frommelt, Lukas Laufenberg, Régis Fayard, Lukas Wehrstein, Ralf Kundel, Ralf Steinmetz. "LoRaMeter: Signal Mapping in LoRa Networks." In: Proc. SoftCOM 2023.
  • Julian Zobel, Ralf Kundel, and Ralf Steinmetz. "CAMON: Aerial-Ground Cooperation System for Disaster Network Detection."   In: Proc. ISCRAM 2022.
  • Pegah Golchin, Leonard Anderweit, Julian Zobel, Ralf Kundel, Ralf Steinmetz. "In-Network SYN Flooding DDoS Attack Detection Utilizing P4 Switches." In: 3rd KuVS Fachgespräch "Network Softwarization", 2022.
  • Julian Zobel, Niklas Stöhr, Ralf Kundel, Patrick Lieser, and Ralf Steinmetz. "Dynamic Monitoring Area Allocation for Aerial Post-Disaster Situation Monitoring."   In: Proc. NetSys 2021.
  • Julian Zobel, Tobias Meuser, and Ralf Steinmetz. "Calling Ground Support: Cooperative DTNs for Improved Aerial Monitoring Systems."   In: Proc. GHTC 2021.
  • Julian Zobel, Patrick Lieser, Tobias Meuser, Lars Baumgärtner, Mira Mezini, and Ralf Steinmetz. "Modeling Civilian Mobility in Large-Scale Disasters."   In: Proc. ISCRAM 2021.
  • Julian Zobel, Paul Frommelt, Patrick Lieser, Jonas Höchst,Patrick Lampe, Bernd Freisleben, Ralf Steinmetz. "Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations."   ComputerScience4BioDiversity, INFORMATIK 2021, Lecture Notes in Informatics (LNI).
  • Ralf Kundel, Paul Stiegele, Dat Tran, Julian Zobel, Osama Abboud, Rhaban Hark, Ralf Steinmetz. "User Space Packet Schedulers: Towards Rapid Prototyping of Queue-Management Algorithms."   In: Proc. NetSys 2021.
  • Jakob Karg, Julian Zobel, Bruno Sousa, Steffen Bamfaste, Giulio Pinzan, Artur Scholz. "Cluster-II: A Recommendation System for Semi-Automated Scheduling of Ground Station Passes". In: Proc. SpaceOps 2021.
  • Jonas Höchst, Jannis Gottwald, Patrick Lampe, Julian Zobel, Thomas Nauss, Ralf Steinmetz, Bernd Freisleben. "tRackIT OS: Open-source Software for Reliable VHF Wildlife Tracking."   ComputerScience4BioDiversity, INFORMATIK 2021, Lecture Notes in Informatics (LNI).
  • Julian Zobel, Benjamin Becker, Ralf Kundel, Patrick Lieser, and Ralf Steinmetz. "Topology-aware Path Planning for In-Transit Coverage of Aerial Post-Disaster Communication Assistance Systems."   In: Proc. IEEE LCN 2020.
  • Julian Zobel, Patrick Lieser, Bastian Drescher, Bernd Freisleben, and Ralf Steinmetz. "Optimizing Inter-Cluster Flights of Post-Disaster Communication Support UAVs."   In: Proc. IEEE LCN 2019.
  • Patrick Lieser, Julian Zobel, Björn Richerzhagen, and Ralf Steinmetz."Simulation Platform for Unmanned Aerial Systems in Emergency Ad Hoc Networks."  In: Proc. ISCRAM 2019.
  • Julian Zobel, Patrick Lieser and Ralf Steinmetz."Multi-Strategy Simulation of Aerial Post-Disaster Ad Hoc Communication Support Systems."  In: Proc. IEEE LCN Demonstrations 2019.
  • Lars Baumgärtner, Patrick Lieser, Julian Zobel, Bastian Blössl, Ralf Steinmetz, and Mira Mezini "LoRaAgent: A DTN-based Location-aware Communication System using LoRa"   In: Proc. GHTC 2020.
  • Björn Richerzhagen, Nils Richerzhagen, Julian Zobel, Sophie Schönherr, Boris Koldehofe, and Ralf Steinmetz. "Seamless Transitions Between Filter Schemes for Location-based Mobile Applications."  In: Proc. IEEE LCN. Nov. 2016, pp. 1–9.

 

Teaching Activities

I am always looking for students interested in writing their Bachelor's or Master's Thesis in the field of adaptive aerial communication systems and infrastructure-less communication networks. A list of currently open topics is published here. If you have an idea for a thesis that is not covered in the list, do not hesitate to contact me directly.

 

Supervised Theses

Student Topic Type
Konrad Altenhofen Network Resilience through Dynamic Routing with Disjoint Paths MA
Levent Görgü Adaptive Application of UAVs in Highly Dynamic Disaster Network Topologies MA
Simon Gütthoff Cooperative Network Topology Monitoring in UAV-Supported Post-Disaster Ad Hoc Networks MA
Patrick van Halem Implementation and Performance Evaluation of Asynchronous
Traffic Shaping on Real-Time Processors (co-supervision with Christoph Gärtner)
MA
Benjamin Heinz Low-Power Long-Range Multi-Hop Relay Communication Protocols for Emergency Crisis Communication MA
Jakob Karg A Recommendation System for Semi-Automated Scheduling of Ground Station Passes, KOM Award Best Masterthesis 2019 MA
Ivan Rubinskii Applying autonomous UAV systems with uncertain and deprecated information. MA
Muhammad Farhan Sarwar Testbed for Time-Critical Wireless Sensor Networks (co-supervision with Benjamin Becker) MA
Bastian Drescher Optimierung von Nachrichten- und Datentransport durch Unbemannte Luftfahrtsysteme StA
Niklas Stöhr Concepts for Territorial Allocation and Route Calculations for UAVs in Aerial Topology Monitoring Sytems StA
Inga Dischinger Prototype System for Adaptive Self-Regulating LoRa Networks BA
Paul Frommelt Prototype System for Energy-Efficient Mobile Data Offloading in Heterogeneous Wireless Sensor Networks BA
Henry Kalff Processing and Transmission of Network Topology Data in Aerial Monitoring Systems for Disaster Situations BA
Louis Neumann Strategies for MANET Monitoring with Unmanned Aerial Vehicles
BA
Sebastian Perle Simulative Comparison of Cluster Detection Approaches on Topology Data for Aerial Post-Disaster Communication Assistance Systems BA
Yashita Saxena Design and Assessment of UAV Movement Models for Simulative Evaluation BA
Jan Uhlig Strategy Transitions in Autonomous Aerial Systems for Post-Disaster Communication Support BA
Tobias Faschingbauer Modelling UAV Flight Properties based on Real-world Flight Sensor Measurements BA
Patrick Pascal Wagner Optimierung der Gebietszuweisung für Unbemannte Luftfahrzeuge in nichtkonvexen Beobachtungsgebieten BA
Lukas Wehrstein Modular Energy-Aware Simulation Environment for Wireless Sensor Network Evaluation, KOM Award Best Bachelorthesis 2022 BA

 

 

Offene Abschlussarbeiten

In the realm of space communication, where delays and disruptions are inherent challenges, the efficacy of systems hinges on their ability to withstand such adversities. The adoption of Delay-/Distruption-Tolerant Networking (DTN) with the Bundle Protocol (v7) strives to facilitate communication and traffic flow in space despite intermittent disruptions. However, ensuring the resilience and efficiency of such systems requires more than just robust protocols; it demands access to realistic data and information for their design, implementation, and evaluation.

Researchers and developers working in this domain face a crucial problem: the scarcity of realistic data for simulations and testing. While real-world data exists, it often comes shrouded in non-disclosure agreements (NDAs), limiting its accessibility and adaptability. Furthermore, such data might lack the variability necessary to explore diverse and new scenarios, or adapt to different setups and hardware configurations.

The synthetic generation of information, data, and packets based on real-world counterparts helps to overcome such issues. By replicating the behavior of various sensor modules and their interactions by sophisticated models, researchers can generate synthetic data that closely mirrors real-world scenarios. But crucially, this modeling approach must embrace modularity and adaptivity. Different sensor modules can be modeled individually, allowing for their modular combination to simulate diverse setups and traffic patterns. Furthermore, module behavior should be adaptable, allowing testing new hardware configurations or exploring alternative communication protocols. At its best, this approach enables researchers to simulate and evaluate a plethora of scenarios with realistic communication patterns and minimal resource requirements.

Within the scope of this thesis you will

  • Delve into interesting topics like synthetic data generation and space communication using protocols such as PUS A/B/C, CFDP and other Space Packets
  • Model traffic patterns based on a real-world space communication data analysis
  • Implement a modular and adaptable generator tool for space communication patterns based on your analysis (preferrable in Rust or Python)
  • Test your model in a DTN simulator or an actual BP implementation and its applicability in combination with the Bundle Protocol v7
  • Scientifically evaluate your models and generators by an in-depth comparison to real-world data in the simulated environment
  • Provide an elaborate, scientific report (written in LaTeX)

Your profile:

  • Motivated, independent working style
  • Interest in, e.g., satellite communication, network protocols, simulations, ad-hoc and disruption-tolerant communication
  • Experience in programming, e.g., Python, Rust, or other OOPLs, is beneficial

This thesis is conducted in collaboration with associates of ESA/ESOC in Darmstadt. A separate NDA regarding usage of space communication data may be required.