Sahar Zeinali | Autonomous systems| Best Researcher Award

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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 Lübeck, 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

Scopus

Orcid

 

💼Professional Experience

Researcher in Automotive Systems University of Lübeck, Lübeck, Germany 2022–Present 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 2018–2019

🎓Education

Ph.D. in Control Systems Sharif University of Technology, Tehran, Iran 2016–2021 Visiting Researcher in Control Systems Universitat Autònoma de Barcelona, Barcelona, Spain 2019–2020 M.Sc. in Modeling, Simulation and Control Sharif University of Technology, Tehran, Iran 2013–2015 B.Sc. in Chemical Engineering Sharif University of Technology, Tehran, Iran 2009–2013 Notable Projects Design of Interaction-Aware Driving Assistance Systems for Autonomous Vehicles University of Lübeck, Lübeck, Germany 2023–Present

🖥️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, 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 Iran’s National Elites Foundation. Admitted to Exceptional Talents Schools, 2002–2009, Tabriz, Iran.

Publications Top Notes 📝

  1. 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.

 

  1. 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.

 

  1. 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.

 

  1. 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.

 

  1. 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.

 

  1. 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.

 

  1. S. Zeinali and M. Shahrokhi, “Adaptive control strategy for treatment of hepatitis C infection,” Industrial & Engineering Chemistry Research, 58(33), 15262-15270, 2019.

 

 

MANISHA RAJORIYA | Software Solutions | Women Researcher Award

Published on by Young Scientists Awards

  Ms. MANISHA RAJORIYA | Software Solutions | Women Researcher Award

👨‍🏫Profile Summary

A dedicated researcher and educator in the field of Computer Science & Engineering, currently pursuing a Ph.D. with a focus on Computer Networks and Software Defined Wireless Sensor Networks (SDWSN). With over 12 years of teaching experience, including roles as an Assistant Professor and thesis supervisor, I have contributed significantly to academia. My research interests span optimization algorithms, energy-aware scheduling, and the application of machine learning in SDWSN. Notable achievements include publications in esteemed journals and conferences, along with participation in workshops and training programs, demonstrating a commitment to continuous learning and professional development.

🌐 Professional Profiles

 

 

🎓Academic Qualification

Ph.D. (Pursuing) in Computer Science & Engineering, Rajasthan Technical University, Kota Specialization: Computer Networks Thesis Title: Clustering Based Distributed Controller Placement in Software Defined Wireless Sensor Networks Advisor: Dr. Chandra Prakash Gupta (2020-present) M. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2017) Specialization: Computer Science & Engineering Thesis Title: ETC Based Resource Allocation to Minimize Makespan Time in Heterogeneous Computing System Advisor: Dr. Rohitash Baniyal B. Tech in Computer Science & Engineering, Rajasthan Technical University, Kota (2014)

🔬Ph.D. Research Statement

In my doctoral studies, I am working on the controller placement problem in Software Defined Wireless Sensor Networks (SDWSN). Specifically, I am utilizing the Sailfish Optimization based Controller Selection (SFO-CS) approach for selecting optimal nodes as Control Nodes (CNs) in SDWSN. This solution aims to address the challenge of selecting optimal CNs efficiently in SDWSN, considering factors such as energy consumption and computing power. Additionally, I am exploring Machine Learning (ML) based techniques to enhance the intelligence and robustness of SDWSNs, particularly focusing on Deep Learning (DL) to minimize transmission distance and energy consumption.

 Work Experience

  • Assistant Professor, Department of Computer Science & Engineering, R N Modi Engineering College, Kota (Rajasthan) (August 2017-September 2018)

💻Skills

  • Programming Languages: C/C++
  • Simulation Software: Mininet, MATLAB, NS3, Cooja

 Journal

  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Sailfish optimization-based controller selection (SFO-CS) for energy-aware multi-hop routing in software defined wireless sensor network (SDWSN).” International Journal of Information Technology (2023): 1-14.
  • Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “SO-CPP: Sailfish Optimization based Controller Placement in IoT-Enabled Software-Defined Wireless Sensor Networks.” International Journal of Communication Systems (Accepted).

Conferences

Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “A Taxonomy on Distributed Controllers in Software Defined Networking.” In 5th International Conference on Computing Methodologies and Communication (2021). (pp. 120-126). Rajoriya, Manisha Kumari, and Chandra Prakash Gupta. “Performance of Ryu and Pox Controllers for Software Defined Networking using Mininet Emulator.” 2nd International Conference on Recent Advances in Computational Techniques: IC-RACT 2022, AIP Conference Proceedings.

Book

  • Rajoriya, Manisha Kumari. “Resource Allocation in Heterogeneous Computing System.” LAP LAMBERT Academic Publishing, Germany (July 13, 2023). ISBN-13: 978-6206740261

📊Research Area

Software Defined Networking, Wireless Sensor Network, Software Defined Wireless Sensor Network Controller Placement Problem, Optimization Algorithms, Energy Aware Scheduling

📚Top Noted Publication

Title: Sailfish Optimization-based Controller Selection (SFO-CS) for Energy-aware Multi-hop Routing in Software Defined Wireless Sensor Network (SDWSN)
Author: MKRCP Gupta
Journal: International Journal of Information Technology
Year: 2023

 

Title: A Taxonomy on Distributed Controllers in Software Defined Networking
Authors: MK Rajoriya, CP Gupta
Conference: 2021 5th International Conference on Computing Methodologies and …
Year: 2021

 

Title: SO-CPP: Sailfish Optimization-based Controller Placement in IoT-enabled Software-defined Wireless Sensor Networks
Author: MKRCP Gupta
Journal: International Journal of Communication Systems
Year: 2024

 

Title: ISFO-CS: An Improved Sailfish Optimization Algorithm for Controller Selection in SDWSN
Authors: MK Rajoriya, CP Gupta
Year: 2024

 

Title: Topology-based Controller Placement in Software Defined Network
Authors: MK Rajoriya, CP Gupta
Journal: AIP Conference Proceedings
Year: 2023

 

Title: A Preliminary Study on Cloud Computing and Its Virtualization
Author: MK Rajoriya
Journal: Advancement of Computer Technology and its Applications
Year: 2019

 

Title: Resource Allocation in Linear Programming Based on Energy and Make Span Minimization Using ETC
Authors: MK Rajoriya, RK Banyal
Conference: 2017 Second International Conference on Electrical, Computer and …
Year: 2017

 

Title: Efficient and Scalable LP Based Resource Allocation and Makespan Minimization in Heterogeneous Computing System: A Review
Authors: RKB MK Rajoriya
Conference: International Conference on Recent Advances in Computing and Communication …
Year: 2016