This image shows Halimeh Agh

Halimeh Agh

Dr.

Head of the Division for Automotive Software Engineering (ASE), Postdoc
ISTE - Institute of Software Engineering
ESE - Empirical Software Engineering

Contact

+49 711 685 88556
+49 711 685 88380

Universitätsstraße 38
70569 Stuttgart
Deutschland
Room: 1.242

Subject

  • Software Engineering
  • Automotive Software Engineering
  • Autonomous Cars
  • AI in Software Engineering
  • Software Testing
  • Agile Methods
  • Software Process Improvement
  • 2023/04: Shaurya Shaurya, Advanced Solutions for Sensor Fusion Testing in ADAS focusing on Real-World Radar Stimulation, M.Sc. Thesis, University of Stuttgart and Bertrandt AG.
  • 2023/04: Julien Hartmann, Multi-dimensional, Automated Determination of Powertrain Software Variants for Release Conformity, M.Sc. Thesis, University of Stuttgart and Mercedes-Benz.
  • 2023/08: Dominik Aust, The Application of Fuzzing in Software Product Line Testing: Identifying Product-Specific Goals for Guiding a Fuzzer based on Variability Models, B.Sc. Thesis, University of Stuttgart.
  • 2023/10: Yang Fu, The Application of Fuzzing in Testing Different Versions and Variants of Cars, B.Sc. Thesis, University of Stuttgart.
  • 2024/01: Jannick Stuby, Applying Machine Learning Techniques for Improving Test Input Generation in Embedded Fuzzers, B.Sc. Thesis, University of Stuttgart.
  • 2024/02: Michael Rodi, Improving Navigation for 2-wheelers via
    3DMA GNSS of Mobile Phones, B.Sc. Thesis, University of Stuttgart.
  • 2024/02: Sounak Chakraborty, Mayukh Mitra, Upasana Dhar,  Efficient Management and Configuration of Test Infrastructures for Vehicle Software Components, M.Sc. Research Project, University of Stuttgart.
  • 2024/03: Shubham Gupta, Enhancing Safety in Autonomous Vehicles: Real-time Dual Image Cropping Algorithm for Redundant Lane Detection, M.Sc. Thesis, University of Stuttgart and Torc Robotics.
     

  • BMBF AutoDevSafeOps: Adapting the DevOps processes and principles for the automotive domain
  • ICM SdMobi2 - SWUpCar: Developing and testing integrated approaches for the forward-looking development of upgradeable vehicles
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