ALESSIA GRECUCCIO

Biomedical Engineering MSc student at Università Campus Bio-Medico di Roma, complemented by a Bachelor's degree in Clinical Engineering from Sapienza University of Rome, achieved with top honors. Proficient in CAD, mechanical design, kinematics, and biomedical signal processing, with a strong foundation in electronics, mechanical measurements, and electromagnetic fields. Currently honing advanced skills in robotics, mechatronic systems, and AI-driven engineering solutions, leveraging analytical, computational, and technical expertise to address interdisciplinary challenges in engineering and healthcare. Committed to driving innovation and enhancing patient outcomes through cutting-edge technology and collaborative problem-solving.

Experimental Physics Laboratory, Sapienza University of Rome | 2023–2024

• Performed precise measurements and data acquisition, applying rigorous uncertainty analysis
• Developed systematic methods for experimental design, analysis, and interpretation

Glucose Trend Forecasting Project, Università Campus Bio-Medico di Roma | 2026

• Built predictive models for glucose levels in diabetic patients using time-series analysis
• Conducted feature extraction, data preprocessing, and evaluation of model accuracy

Medical Image Classification Project, Università Campus Bio-Medico di Roma | 2026

• Designed machine learning algorithms for classifying chest X-rays (COVID-19, pneumonia, normal)
• Performed data curation, model training, validation, and performance assessment

Mechatronics Laboratory, Università Campus Bio-Medico di Roma | 2025–present

Focus: Microcontroller PIC16F887 Programming

· Programmed the PIC16F887 microcontroller in CCS to perform multiple control and measurement tasks

· Controlled stepper motors with adjustable direction and speed based on microcontroller inputs

· Integrated sensors and peripherals including ultrasonic sensors, encoders, and Bluetooth modules on breadboard

· Developed and tested incremental programs for each functionality, ensuring correct operation of all modules

Robotic Manipulator Project, Università Campus Bio-Medico di Roma | 2025–present

· Constructed robotic manipulator chains using modular components to match assigned joint configurations

· Programmed trajectory execution in Python, translating kinematic plans into precise motion commands

· Tested motion accuracy, joint coordination, and trajectory tracking on physical prototypes

· Applied principles of inverse kinematics and control to ensure manipulability and task completion

• Academic Merit Recognition, Sapienza University of Rome | 2022
• Excellence Scholarship Program, Università Campus Bio-Medico di Roma | 2025–present