Maria Damanaki

Computer Vision Engineer

Maria Damanaki is an Industrial PhD candidate in the "Industrial Doctorate in Computer and Telecommunications Sciences" program at the University of Ioannina, in collaboration with Avisense, a spin-off of the Industrial Systems Institute (ISI) at the Athena Research Center.

Her research focuses on developing robust algorithms for multi-modal and collaborative robotic perception, under the PhD thesis titled "Advanced Multi-Modal and Multi-Agent Perception Solutions for Connected Ground and Aerial Unmanned Vehicles." In parallel, Maria works as a researcher at ISI, contributing to projects in autonomous driving and computer vision.

She holds an MSc in Information Processing Systems and Machine Intelligence and a BSc in Physics from the University of Patras.

Her expertise lies in computer vision, sensor fusion, and machine learning.

Her research experience includes object detection and tracking using camera and LiDAR data, multi-agent data fusion, and image segmentation with 3D CNNs. She has implemented algorithms such as Kalman and Particle Filters, k-NN, and Perceptron for applications like gesture recognition and multi-object tracking.

Maria is skilled in Python, MATLAB, and C++, and proficient with tools including Google Colab, Spyder, and Arduino. She combines a strong academic background with hands-on engineering skills, contributing actively to cutting-edge R&D in intelligent systems.