Alessandro Sebastian Russo

Alessandro Sebastian Russo is a PhD student in Computer and Systems Engineering at Politecnico di Torino, with a focus on scalable architectures for neurosymbolic AI in scene interpretation and generation. He is affiliated with the Department of Control and Computer Science (DAUIN) and part of the GRAINS group (Graphics and Intelligent Systems). His academic role includes Lecturer responsibilities as an external teaching assistant.

His educational background includes a Master's degree in Data Science (2021) from Politecnico di Torino, with thesis work on Machine Learning and Transformer Neural Networks. Prior to his PhD, he completed a one-year research fellowship in medical machine learning.

Russo's research bridges neural and symbolic AI through Logic Tensor Networks (LTNs), aiming to enhance scene understanding for autonomous driving applications. Current work explores integration of Large Language Models (LLMs) and Commonsense Knowledge Bases to improve logical consistency. His teaching experience includes collaborations on courses in Mobile Application Development and Innovation Management.

Key publications span medical imaging (Medical Image Analysis), neurosymbolic learning (NeSy workshops), and computer vision (IJCNN, ISVC). He is also an inventor on the national patent Deep Neural Networks for Multi-View Mammography Classification. No scientific awards are currently listed in the available information.