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Bachelor, Master, PhD

Complete Theses at DAES Group


  • Accelerating K-means Clustering with Triangle Inequalities on GPU
    Alexander Kummutat
  • Master's Thesis, 07.2022
  • Optimized Binarized Neural Networks for Automotive Semantic Segmentation
    Hatem Ali Hussein Hassan Selim
    Master's Thesis, 05.2022
  • Optimization of Quality of Service in Dynamic Multi-Mode Task Systems
    Jan Peter Meyer
    Master's Thesis, 02.2022



  • Meta Machine Learning Optimization: Cache-aware Organization of Decision Trees.
    Waldemar Seiferling.
    Bachelor Thesis, 2020
  • Analysis and Optimization for Hoeffding Tree.
    Xiaoshi Wang.
    Bachelor Thesis, 2020
  • Exploring the Health of Automotive Systems under Transient and Intermittent Faults.
    Giancarlo Stooß.
    Bachelor Thesis, 2020
  • An efficient real-time capable multi-core module framework for the humanoid robot NAO.
    Aaron Larisch.
    Master's Thesis, 2020
  • Supporting Edge Computing Simulator for Real-Time Task models.
    Roman Sazontow.
    Bachelor Thesis, 2020
  • Configurable FPGA-based Access Latency Emulation for Non-Volatile Main Memory.
    Dennis Morczinek.
    Bachelor Thesis, 2020
  • Extendable Hardware-Based Main Memory Access Snooping for Non-volatile Memory Simulations and Analysis.
    Junior Delrich Kamtchogom Namtchueng.
    Bachelor Thesis, 2020
  • Optimization of OpenGL streaming in distributed embedded systems.
    Felix Mues.
    Bachelor Thesis, June 2020
  • 3D-Sensor-Data-based Localization of Logistical Objects with Machine Learning on Embedded Systems.
    Nikolas Müller.
    Master Thesis, April 2020


  • Supporting Semi-Partitioned Multiprocessor Resource Synchronization Protocols on RTEMS.
    Jan Duy Thien Pham.
    Bachelor Thesis, 2019
  • Navigation mobiler Roboter mit dynamischen Hindernissen.
    Harun Teper.
    Bachelor Thesis, 2019
  • Memory Access Analysis and Endurance Leveling Approaches for Non-volatile Working Memory Systems.
    Christian Hakert.
    Master's Thesis, 2019
  • Optimization and analysis for dependable application software on unreliable hardware platforms.
    Kuan-Hsun Chen.
    PhD Thesis, 2019
  • Resource-Aware Acceleration for Nano Particle Classification.
    Mikail Yayla.
    Master's Thesis, 2019
  • Towards Accurate Binary Object Detection in the Context of Industry 4.0.
    Jan Kaiser.
    Master's Thesis, 2019
  • Analysis and Optimization of Trace-Based Simulator for Non-Volatile Main Memory.
    Sebastian Blömeke.
    Bachelor Thesis, 2019
  • Priority-Preserving Optimization of Hardware Filter Efficiency for Broadcast Buses.
    Sebastian Schwitalla.
    Bachelor Thesis, June 2019
  • Exploring the Performance of Hardware Message Filtering in Controller Area Network.
    Iryna Denysenko.
    Master's Thesis, April 2019


  • Ablaufplanungsverfahren zur effizienten Ressourcennutzung bei der Algorithmenkonfiguration von maschinellen Lernverfahren.
    Andreas Lang.
    Master's Thesis, 2018
  • Reservation-Based Federated Scheduling for Parallel Real-Time Tasks.
    Niklas Ueter.
    Master's Thesis, 2018
  • Nested Preemption Fixed-Priority Scheduler for EV3OSEK.
    Nils Hölscher.
    Bachelor Thesis, 2018
  • Qualitätsoptimierung für digitale Bildverarbeitungsaufgaben in eingebetteten Systemen.
    Juri Wenner.
    Bachelor Thesis, 2018
  • Recognition of Attackers in the Context of Honeypots.
    Patrick Trockel.
    Master's Thesis, 2018
  • A PLC based real time material flow controller/calculator in warehouse management system.
    Siddharth Chithadka.
    Master's Thesis, 2018
  • Nested Preemption Fixed-Priority Scheduler for EV3OSEK.
    Nils Hölscher.
    Bachelor Thesis, 2018
  • Improvement of Vehicle Motion Information by Visual Odometry.
    Rajith Hebbal Ravikumar.
    Master's Thesis, 2018
  • Efficient Implementation of Resource-Constrained Cyber-Physical Systems using Multi-Core Parallelism.
    Olaf Neugebauer.
    PhD Thesis, 2018
  • Real-Time Synchronization on Multiprocessors through Suspension or Spinning?.
    Shabnam Tabatabaian.
    Master's Thesis, 2018
  • Methods for Efficient Resource Utilization in Statistical Machine Learning Algorithms.
    Helena Kotthaus.
    PhD Thesis, Department of Computer Science XII, TU Dortmund University, June 2018
  • Usefulness of Model-Based Testing Within Simulink Platform.
    Filip Chocholak.
    Master's Thesis, March 2018
  • Efficient Timer Mechanism in Real Time Operating Systems.
    Timo Gojowczyk.
    Bachelor Thesis, January 2018


  • Analysis and Optimisation of Signal-Flows in Real-Time Embedded Parallel Software Applications.
    Marco Dürr.
    Master's Thesis, 2017
  • Model based Tolerance and Error Analysis of Inertial Sensor based Measurement System of an Excavator.
    Abubakar Sanaullah.
    Master's Thesis, 2017
  • Power Management in heterogenen Multiprocessing-Systemen.
    Rico Endern.
    Bachelor Thesis, August 2017
  • Saving Energy in Embedded Systems Using Nearby Resources.
    Alexander Starinow.
    Bachelor Thesis, August 2017
  • Analyzing and evaluating resource synchronization protocols in RTEMS on multi-core systems.
    Nadzeya Liabiodka.
    Bachelor Thesis, June 2017
  • Multicore Systems with Dynamic Real-Time Guarantees.
    Lea Schönberger.
    Master's Thesis, May 2017
  • Resource-Aware Optimization by Trading Locality, Redundancy and Parallelism.
    Benjamin Gläser.
    Bachelor Thesis, April 2017
  • System Optimization of Hybrid Marine Systems.
    Osama Maqbool.
    Master's Thesis, April 2017
  • Evaluation of Multi-Mode Tasks under Rate-Monotonic and Earliest-Deadline-First Scheduling in Real-Time Systems.
    Vincent Meyers.
    Bachelor Thesis, April 2017
  • Scheduling algorithms and timing analysis for hard real-time systems.
    Wen-Hung Huang.
    PhD Thesis, Dortmund, Germany, April 2017
  • Deep Investigation for Fault Tolerance and Soft-Error Handling on Control Application.
    Mikail Yayla.
    Bachelor Thesis, March 2017, The enhancement of the thesis has been added in the downloadable version.
  • Exploration of Cyber-Physical Systems for GPGPU Computer Vision-Based Detection of Biological Viruses.
    Pascal Libuschewski.
    PhD Thesis, Dortmund, Germany, March 2017


  • Implementation and Evaluation of Real-Time Multiprocessor Scheduling Algorithms on LITMUS-RT.
    Junjie Shi.
    Master's Thesis, December 2016
  • Ressourcengewahre Ablaufplanungsverfahren für modellbasierte Optimierungen.
    Andreas Lang.
    Bachelor Thesis, September 2016
  • Automated Vehicle Telematic Data Acquisition and Information Transformation.
    Thomas Richter.
    Master's Thesis, August 2016
  • Saving Energy for Mobile Biosensors by Offloading.
    Dragana Popovic.
    Bachelor Thesis, May 2016
  • Optimierung der Energieeffizienz von Real-Time Wireless Communications.
    Sebastian Struwe.
    Master's Thesis, February 2016


  • Approximated Timing Analysis in Real-Time Calculus.
    Vasco Fachin.
    Master's Thesis, November 2015
  • Design and Implementation of Computation Offloading Mechanism in Real-Time System.
    Huan Tian.
    Master's Thesis, July 2015
  • Stereo camera de-calibration detection based on observing kinematic attributes of detected objects and the camera rig.
    Venkata Rama Prasad Donda.
    Master's Thesis, July 2015
  • Softwareredundanz zur Erkennung transienter Fehler.
    Martin Scholten.
    Bachelor Thesis, March 2015
  • WCET Analysis and Optimization for Multi-Core Real-Time Systems.
    Timon Kelter.
    PhD Thesis, March 2015


  • Vergleichende Studie von Arbitrierungsverfahren für Kommunikationsstrukturen in eingebetteten Multicoresystemen.
    Tim Harde.
    Bachelor Thesis, 2013
  • Automatic Parallelization for Embedded Multi-Core Systems using High-Level Cost Models.
    Daniel A. Cordes.
    PhD Thesis, 2013
  • Unterstützung modularer WCET-Analyse durch annotierte Binärobjekte.
    Christian Günter.
    Bachelor Thesis, 2013
  • Schedulingverfahren zur WCET-Reduktion in eingebetteten Multicore-Systemen.
    Hendrik Borghorst.
    Master's Thesis, 2013



  • Entwicklung und Anwendung von methoden zur stochastischen Behandlung von linearen und nichtlinearen Systemen am Beispiel eines Radiofrequenzspektrometers.
    Peter Marwedel.
    PhD Thesis, 1974

Location & approach

The campus of TU Dort­mund University is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is "Dort­mund-Eichlinghofen" (closer to Campus Süd), and from B 1 / A 40 "Dort­mund-Dorstfeld" (closer to Campus Nord). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from Campus Nord to Campus Süd by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at Campus Nord and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund University has its own train station ("Dort­mund Uni­ver­si­tät"). From there, suburban trains (S-Bahn) leave for Dort­mund main station ("Dort­mund Hauptbahnhof") and Düsseldorf main station via the "Düsseldorf Airport Train Station" (take S-Bahn number 1, which leaves every 20 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station "Stadtgarten", usually lines U41, U45, U 47 and U49. At "Stadtgarten" you switch trains and get on line U42 towards "Hombruch". Look out for the Station "An der Palmweide". From the bus stop just across the road, busses bound for TU Dort­mund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop "Dort­mund Kampstraße". From there, take U43 or U44 to the stop "Dort­mund Wittener Straße". Switch to bus line 447 and get off at "Dort­mund Uni­ver­si­tät S".

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn is one of the hallmarks of TU Dort­mund University. There are two stations on Campus Nord. One ("Dort­mund Uni­ver­si­tät S") is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the "Technologiepark" and (via Campus Süd) Eichlinghofen. The other station is located at the dining hall at Campus Nord and offers a direct connection to Campus Süd every five minutes.

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

Site Map of TU Dort­mund University (Second Page in English).