Lisa Margreat Rajendran

Developed integration on an ARM-based microprocessor (Raspberry Pi 4b) for synchronized data acquisition. Built and validated image processing routines in Python (OpenCV) to support automated measurements. Optimized algorithms to make the best use of computation time and added GPU programming for parallel processing. Configured RS232/Ethernet communication, ensuring reliable end-to-end data flow from sensors to analysis.

Applied analog (filtering, amplification) and digital (FFT, vibration/spectral analysis) signal processing techniques to calibrate and analyze industrial sensor networks. Commissioned, operated, and performed structured tests on acoustic, vibration, and sensor calibration benches, including acoustic camera systems.

Coursework: Discrete Control Systems, Model-Based-SW Development/ Real Time-Software, Digital Systems/ VHDL. Master's thesis: Modernizing Analog Viscometers: Bridging the Gap to Digital Lab 4.0.

Coursework: Digital Communication, IoT for communication, Cloud Computing, Digital signal processing, Computer networks, Control systems, and Embedded systems. Bachelor's thesis: Chatbot- Attendance and Location Guidance System (ALGs).