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Technical University of Munich

Hadi Askaripoor, Ph.D.

Address: Institut für Informatik IV Technische Universität München, Boltzmannstraße 3, 85748 Garching bei München, Germany

Email: askaripo@in.tum.de

Curriculum Vitae

  • (Nov 2019- March 2024) Research Assistant, Chair of Robotics, Artificial Intelligence and Embedded Systems, Technical University of Munich (TUM)
  • (Jul 2019- March 2024) Visiting Research Scholar, University of California, Los Angeles (UCLA)
  • (Apr 2019- Oct 2019) Robotics Engineer, Robotics Start-up Company, Munich 
  • (Oct 2016- Apr 2019) Master's Degree in Biomedical Engineering (Electronics Track), Politecnico di Milano (Polimi)
  • (Aug 2014- Sep 2016) Automation Engineer, Pardazesh Sanat Company
  • (Oct 2010- July 2014) Bachelor's Degree in Electronics Engineering, University of Birjand

Teaching

Teaching Assistant:

Master Seminars: 

  • WS 2022/2023: E/E Architecture Configuration in Autonomous Driving
  • SS 2022: E/E Architecture Configuration in Autonomous Driving
  • WS 2021/2022: E/E Architecture Configuration in Autonomous Driving 
  • WS 2020/21: Resource Planning in Autonomous Driving

Master Lab Courses:

Supervised Theses

Finished:

  • Guided Research: Analysis and Evaluation Sofware Defined Vehicle on Nvidia AGX Drive Platform, Thilo Mueller
  • Bachelor Thesis: Development of a Self-driving Car Utilizing Artificial Intelligence Techniques, Joan Freixas Martinez
  • Master Thesis: An Approach for Design Error Analysis, Zhenchen Liao
  • Master Thesis: Industrialization of the ASTERIOS Real-Time Kernel, Julie Lucas (External, @Safran)
  • Bachelor Thesis: Developing a Front-End of a Framework for Synthesis of E/E Architectures, Amir Taghizadegan
  • Master Thesis: Resource Planning and Power Management in Autonomous Driving Platforms, Ang Li
  • Master Thesis: Next Generation of Model Predictive Control for Autonomous Driving, Stefan Qiu (External, @Siemens)
  • Bachelor Thesis: Developing a GUI for Mapping Applications in Automotive High-Performance Central Computer, Andre Seecamp 
  • Bachelor Thesis: Analysis and Evaluation of Real-time Operating Systems for Autonomous Vehicles, Thilo Mueller
  • Master Thesis: Resource Planning in Autonomous Driving Platforms, Runtao Duan
  • Master Thesis: Grid-Free Sensor Data Fusion and Surface Mapping, Yujie Lian (External, @Bosch)
  • Guided Research: Insight into the activities of a start-up and into the research of robot navigation, Adrian Dendorfer
  • Bachelor Thesis: Development of a Driver Assistant System based on Electronic Horizon Data, Lennard Riedel (External, @Elektrobit)
  • Guided Research: Prototyping of a 3 degrees of freedom movable lifting platform, Noah Bucher

Publications

T. Müller, H. Askaripoor and A. Knoll, "Advancing E/E Architecture Synthesis: A Perspective on Reliability Optimization and Hypervisor Integration," 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju Island, Korea, Republic of, 2024, pp. 1996-2003, doi: 10.1109/IV55156.2024.10588416.[more...]

H. Askaripoor, T. Mueller and A. Knoll, "E/E Designer: A Framework to Design and Synthesize Vehicle E/E Architecture," in IEEE Transactions on Intelligent Vehicles, vol. 9, no. 7, pp. 5204-5221, July 2024, doi: 10.1109/TIV.2023.3324617.[more...]

T. Müller, H. Askaripoor and A. Knoll, "Performance Analysis of KVM Hypervisor Using a Self-Driving Developer Kit," IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022, pp. 1-7, doi: 10.1109/IECON49645.2022.9968908.[more...]

Askaripoor, H.; Hashemi Farzaneh, M.; Knoll, A. E/E Architecture Synthesis: Challenges and Technologies. Electronics 2022, 11, 518. doi.org/10.3390/electronics11040518

Y. Lian, G. Rempfer, H. Askaripoor, J. Landsgesell and A. Knoll, "Efficient Polyline Surface Mapping with Strong Error Bounds," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589795.[more...]

H. Askaripoor, M. H. Farzaneh and A. Knoll, "A Platform to Configure and Monitor Safety-Critical Applications for Automotive Central Computers," 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 2021, pp. 1-4, doi: 10.1109/ETFA45728.2021.9613692.[more...]

H. Askaripoor, M. H. Farzaneh and A. Knoll, "A Model-Based Approach to Facilitate Design of Homogeneous Redundant E/E Architectures," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3426-3431, doi: 10.1109/ITSC48978.2021.9565115.[more...]

Askaripoor, H.; Shafaei, S. and Knoll, A. (2021). A Flexible Scheduling Architecture of Resource Distribution Proposal for Autonomous Driving Platforms. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS, ISBN 978-989-758-513-5, pages 594-599. DOI: 10.5220/0010471605940599.[more...]

Hadi Askaripoor, Morteza Hashemi Farzaneh, and Alois Knoll. "Considering Safety Requirements in Design Phase of Future E/E Architectures." 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 1. IEEE, 2020.[more...]

Hadi Askaripoor, M. Zhou, C.P. Lohmann., P. Cerveri, & M.A. Nasseri,  (2019, July). Reducing the Number of Degrees of Freedom to Control an Eye Surgical Robot through Classification of Surgical Phases. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5403-5406). IEEE [more...]

Mohammad Hasan Eslami, Amir Shtiani, Hadi Askaripoor, and Tohid Jafari. "Dynamic Performance Improvement of Power System using UPFC based on ANFIS Controller." International Journal of Natural and Engineering Sciences (IJNES) E-ISSN: 2146-0086 4, no. 3 (2013): 01-06 [more...]

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