Mr. Sudarshan Sivakumar won Best Researcher Award
in the field of Automotive domain

BY SCIENTIFIC LAURELS

| BOSCH Global SW Technologies | INDIA

Mr. Sudarshan Sivakumar is a distinguished researcher with expertise in Deep Learning, ADAS (Advanced Driver Assistance Systems), Control Systems, and Photonics. He has contributed significantly to both theoretical and applied research through journal publications and presentations:

  1. Real-time Object Detection for ADAS Systems using Deep Learning Techniques – Published in the International Journal of Electrical & Computer Engineering, utilizing Convolutional Neural Networks (CNN) for vehicle assistance systems.

  2. Optoelectronics and Photonics Seminar – Recognized with an appreciation certificate from IISc and DRDO (Dec 2020); work published in the IISc Department of Physics journal.

  3. Proportional-Integral Controller for Detecting RF Interference – Published in the International Symposium of Instrumentation (IISc, Dept. of Physics).

His research demonstrates a blend of theoretical understanding and practical implementation, particularly in real-time systems, automation, and sensor technologies.

Professional Background

1. BOSCH Global Software Technologies Pvt Ltd (May 2024 – Present)

  • Project: Driver Brake Request Feature (Volvo, Ford, JLR)

    • Implemented Torque Gradient Limitation and Speed Dependency features in AUTOSAR ASW layer using ASCET.

    • Developed unit and component test cases using Axter/ASCET ATT and TESTIDE.

    • Executed PSL builds, resolved compilation issues, and analyzed trace logs for customer bug reports.

  • Project: Mercedes Benz – Driver Assistance System (Generation 5)

    • Worked on object tracking and sensor fusion for ADAS L2 functionalities.

    • Applied Python, K-Means clustering, and Random Forest for automation and test report processing.

    • Contributed to GUI development for internal BOSCH tools and supported SIL validation using Open Drive.

2. Continental Automotive – ADAS R&D (Oct 2022 – May 2024)

  • Focused on camera-based visualization test development for driver assistance systems.

  • Automated view comparisons, conducted regression testing, and implemented ML/image-processing techniques like SVM, edge detection, and correlation analysis.

3. BOSCH – Value Added Functions (Nov 2021 – Aug 2022)

  • Developed and executed test cases for braking system functions (AVH, APB, HHC, FLC) in VW and Porsche vehicles.

  • Conducted test coverage analysis, scripting in PERL, and signal visualization for VAF module validation.

Technical Expertise: Python (Pandas, NumPy, Seaborn, scikit-learn, OpenCV, NLTK), C, PERL, ASCET, TESTIDE, Lauterbach, Canoe, CAPL scripting, HIL/SIL validation.

Eligibility for Best Researcher Award

Mr. Sudarshan Sivakumar has demonstrated outstanding contributions in research and practical applications across multiple domains:

  • Published multiple peer-reviewed journal papers in recognized international journals.

  • Recognized by IISc and DRDO for research presentations.

  • Developed innovative solutions in ADAS, sensor fusion, and braking systems for leading automotive companies.

  • Expertise spans machine learning, deep learning, control systems, and software validation, with significant real-world impact.

His combination of academic excellence, industry contributions, and technical leadership makes him an ideal candidate for the Best Researcher Award in Scientific Laurels.