“I am inspired by AI-driven autonomy, solving real-world challenges in UAVs, robotics, and perception”
I am a researcher in AI, computer vision, and autonomous systems, specializing in Unmanned Aerial Systems (UAS) and perception technologies. Currently, I am pursuing my Master’s in Autonomous Vehicle Engineering at the University of Naples Federico II, with a focus on machine learning-driven UAV autonomy, sensor fusion, and AI-based perception systems.
As a visiting research student at Cranfield University, my research revolves around predicting drone landability in identified zones using semantic segmentation and radar-generated terrain elevation maps. My expertise lies in deep learning (TensorFlow, PyTorch), computer vision (OpenCV), and robotics (ROS, SLAM, multi-sensor fusion).
Passionate about bridging research and real-world applications, I aim to develop AI-powered autonomous solutions for defense, logistics, and emergency response. I am also actively exploring entrepreneurial opportunities in AI-driven UAVs and robotics. Through my work, I strive to push the boundaries of intelligent autonomous systems and their impact on society.