Ros Maria Edathil Francis Stanly

Highly skilled Digital Signal Processing Engineer with 3 years of hands-on experience in designing, analyzing, and implementing DSP algorithms and systems. Expertise in real-time signal processing for telecommunications and embedded systems. Proficient in MATLAB, Python, and C for algorithm development, with a solid understanding of Fourier transforms, filter design, and adaptive signal processing techniques. Strong collaborative skills with a proven ability to work in cross-functional teams to deliver optimized DSP solutions.

Machine Learning Attack on Hybrid Current Mirror Inverter Physical Unclonable Function
Developed with HSPICE and Machine Learning Algorithms

• Assessed the effectiveness of a novel current mirror inverter physical unclonable function (PUF) using machine learning techniques.
• Designed the PUF using HSPICE to ensure robust security features.

Touchless Mobile Phone Using MEMS Sensor
Developed for Individuals with Paralysis Using Raspberry Pi

• Designed a touchless GSM mobile phone operated through eye blink movements and body or finger vibrations.
• Aimed to provide a communication solution for individuals with severe motor disabilities.

Accelerator-Based Gesture Controlled Robot
Designed with Arduino for Gesture-Based Control

• Developed a vehicle robot that could be controlled using hand gestures, utilizing an accelerometer and Arduino.
• Aimed at creating intuitive human-machine interaction through gesture recognition.

• Certificate in Embedded Systems and Hardware Design – SMEC Labs
• 15th International Symposium on Ocean Technology (SYMPOL 2019) – Department of Electronics, CUSAT
• Hands-on Workshops on IC Design – Department of Electronics, CUSAT
• Technical Event on Automation and Robotics – Organized by Educoncepts
• Workshop on Fundamentals of VLSI Design Flow – Conducted by Entuple Technologies