Dr. Sahar Zeinali| Autonomous systems | Best Researcher Award
Dr, Institute for Electrical Engineering in Medicine, University of Luebeck, Germany
With a Ph.D. in Control Systems from Sharif University of Technology and experience as a Researcher in Automotive Systems at the University of LΓΌbeck, Germany, I specialize in developing driving assistance systems for autonomous vehicles. Collaborating with industry leaders like ZF Group and Infineon Technologies, my work focuses on model-based and AI-based methods to enhance energy efficiency, driving comfort, and safety. Proficient in MATLAB, Simulink, and Python, I have a strong background in software architecture design and algorithm implementation. Recognized for academic excellence and ranked among top university entrants, I bring expertise in control engineering and a dedication to innovation in automotive technology.
Profile
Professional Experience
Researcher in Automotive Systems University of LΓΌbeck, LΓΌbeck, Germany 2022βPresent Collaborated with ZF Group and Infineon Technologies on the EEmotion project. Developed driving assistance systems for autonomous vehicles using model-based and AI-based methods. Enhanced energy-efficiency, driving comfort, and safety. Created software and system simulation requirements. Designed software architecture and interfaces for integration and evaluation purposes. Implemented and validated algorithms in the simulation environment. Conducted Software-in-the-loop (SIL) testing. Control Engineer (Part-time) Namvaran Consulting Company, Tehran, Iran 2018β2019
Education
Ph.D. in Control Systems Sharif University of Technology, Tehran, Iran 2016β2021 Visiting Researcher in Control Systems Universitat AutΓ²noma de Barcelona, Barcelona, Spain 2019β2020 M.Sc. in Modeling, Simulation and Control Sharif University of Technology, Tehran, Iran 2013β2015 B.Sc. in Chemical Engineering Sharif University of Technology, Tehran, Iran 2009β2013 Notable Projects Design of Interaction-Aware Driving Assistance Systems for Autonomous Vehicles University of LΓΌbeck, LΓΌbeck, Germany 2023βPresent
Skills
- Software: MATLAB & Simulink, IPG CarMaker, Comsol Multiphysics
- Python Packages & Libraries: TensorFlow, Keras, Scikit-learn, Gymnasium
- Programming Language: Python, MATLAB, C++
- Agile Methodology: Scrum
- Development Tools: Git
- Typesetting: LaTeX, Microsoft Office
- Operating System: Windows, macOS
Honors
Recognized for studying at Sharif University of Technology, Iranβs top university. Ranked 3rd out of over 2000 participants in the Ph.D. Entrance Exam in Iran, 2015. Directly admitted to the M.Sc. program as an Exceptional Talented Student, top 10% by GPA, at Sharif University of Technology, Tehran, Iran, 2013. Ranked 500th among more than 350,000 university entrance participants in Iran, 2009. Member of Iranβs National Elites Foundation. Admitted to Exceptional Talents Schools, 2002β2009, Tabriz, Iran.
Publications Top Notes 
- S. Zeinali, M. Fleps-Dezasse, J. King, and G. Schildbach, βDesign of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving,β Control Engineering Practice, 146, 105881, 2024.
- X. Zhang, S. Zeinali, and G. Schildbach, βInteraction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,β European Control Conference (ECC), 2024.
- X. Zhang, S. Zeinali, and G. Schildbach, βInteraction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,β Accepted in IEEE Transactions on Control Systems Technology, 2024.
- S. Zeinali, M. Shahrokhi, and A. Pishro, βObserver-based controller for treatment of hepatitis C infection using fractional order model,β Mathematical Methods in the Applied Sciences, 45(17), 10689-10709, 2022.
- S. Zeinali and M. Shahrokhi, βObserver-based singularity-free nonlinear controller for uncertain systems subject to input saturation,β European Journal of Control, 52, 49-58, 2020.
- S. Zeinali, M. Shahrokhi, and A. Ibeas, βObserver-based impulsive controller design for treatment of hepatitis C disease,β Industrial & Engineering Chemistry Research, 59(43), 19370-19382, 2020.
- S. Zeinali and M. Shahrokhi, βAdaptive control strategy for treatment of hepatitis C infection,β Industrial & Engineering Chemistry Research, 58(33), 15262-15270, 2019.