Shilpa Siddeshappa

Electrical engineering professional with solid experience in designing, developing, and implementing electrical systems. Strong focus on team collaboration and delivering reliable results. Skilled in circuit design, power distribution, and troubleshooting with commitment to adapting to changing project needs. Known for reliability and results-driven approach.

Master Thesis Project:

June 2022- November 2022

Investigation and Verification of robust multigigabit optical communication interface for avonics system.

• The data rate flow for 10Gbps on optical fiber is verified through different optical Transceivers compatible with MPO/SFP/QSFP cables on the development kit boards for the Avionics system.The FPGA-based traffic generator and checker are developed.
• An I -Wave development kit that contains Xilinx Zynq Ultrascale+ FPGA was used in this test.GTY/GTH transceivers of the Zynq FPGA were configured to transmit the symbols from the traffic generator at 10Gbps and receive them in a loopback test setup.
• .Xilinx in system IBERT was used to determine the channel quality/BER

November 2021 - December 2021:

Contactless Fingerprint Detection using OpenCV

• HSV color space, skin segmentation, and by finding the correct area of interest.
• This project provides an optimal solution to the traditional biometric system, The implementation of Image Processing Algorithms are carried out by using C++ and Open Computer Vision (OpenCV) library,

June 2021 – July 2021:

Automated car parking system using Ultrasonic Sensors and Arduino

• The Arduino IDE program has been used to measure the distance of ultrasonic sensors and display the result on a serial monitor
• This project has been implemented by using MATLAB on LED screen connected wirelessly through Bluetooth.

Bachelor Thesis

January 2018 - July 2018:

Development of A Video Processing based Algorithm and Arduino Interface for ALS Patients to Commute Using Eye Gaze

• The implementation of Video processing is carried out by MATLAB image processing Library, BGR, HSV & Gray Scale color space, skin segmentation, and by finding the correct pixel area.