Dr. Sahar Zeinali| Autonomous systems | Best Researcher Award
Dr, Institute for Electrical Engineering in Medicine, University of Luebeck, Germany
š©āš¬ With a Ph.D. in Control Systems from Sharif University of Technology and experience as a Researcher in Automotive Systems at the University of LĆ¼beck, 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.š
Profile
š¼Professional Experience
Researcher in Automotive Systems University of LĆ¼beck, LĆ¼beck, Germany 2022āPresent 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 2018ā2019
šEducation
Ph.D. in Control Systems Sharif University of Technology, Tehran, Iran 2016ā2021 Visiting Researcher in Control Systems Universitat AutĆ²noma de Barcelona, Barcelona, Spain 2019ā2020 M.Sc. in Modeling, Simulation and Control Sharif University of Technology, Tehran, Iran 2013ā2015 B.Sc. in Chemical Engineering Sharif University of Technology, Tehran, Iran 2009ā2013 Notable Projects Design of Interaction-Aware Driving Assistance Systems for Autonomous Vehicles University of LĆ¼beck, LĆ¼beck, Germany 2023āPresent
š„ļøSkills
- 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
šHonors
Recognized for studying at Sharif University of Technology, Iran’s 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 Iranās National Elites Foundation. Admitted to Exceptional Talents Schools, 2002ā2009, Tabriz, Iran.
Publications Top Notes š
- S. Zeinali, M. Fleps-Dezasse, J. King, and G. Schildbach, “Design of a utility-based lane change decision making algorithm and a motion planning for energy-efficient highway driving,” Control Engineering Practice, 146, 105881, 2024.
- X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” European Control Conference (ECC), 2024.
- X. Zhang, S. Zeinali, and G. Schildbach, “Interaction-aware traffic prediction and scenario-based model predictive control for autonomous vehicles on highways,” Accepted in IEEE Transactions on Control Systems Technology, 2024.
- S. Zeinali, M. Shahrokhi, and A. Pishro, “Observer-based controller for treatment of hepatitis C infection using fractional order model,” Mathematical Methods in the Applied Sciences, 45(17), 10689-10709, 2022.
- S. Zeinali and M. Shahrokhi, “Observer-based singularity-free nonlinear controller for uncertain systems subject to input saturation,” European Journal of Control, 52, 49-58, 2020.
- S. Zeinali, M. Shahrokhi, and A. Ibeas, “Observer-based impulsive controller design for treatment of hepatitis C disease,” Industrial & Engineering Chemistry Research, 59(43), 19370-19382, 2020.
- S. Zeinali and M. Shahrokhi, “Adaptive control strategy for treatment of hepatitis C infection,” Industrial & Engineering Chemistry Research, 58(33), 15262-15270, 2019.