I am Aniello Panariello, a Ph.D. student affiliated with the AImageLab research group at the University of Modena and Reggio Emilia, under the guidance of Prof. Simone Calderara, I am immersed in exploring Computer Vision and Deep Learning techniques. My prior experience includes leading the Computer Division for the Formula Student Team - MMR Driverless, where I focused on enhancing the perception capabilities of an autonomous racing car.

My research journey has evolved to focus on several advanced areas in machine learning. Currently, I am deeply engaged in Continual Learning, where I develop methods that enable models to learn continuously from a stream of data without forgetting previous knowledge. I also explore Transfer Learning, aiming to leverage knowledge from one domain to improve performance in another. Additionally, my work in Compositionality involves creating models that can understand and generate complex structures from simpler components. Lastly, I am investigating Zero-Shot Models, which are designed to make accurate predictions for tasks they have never seen before. Through these endeavors, I strive to push the boundaries of what machine learning models can achieve, particularly in scenarios with limited resources.

Previously I focused on Monocular Distance Estimation, a challenging area where I explore methods to accurately gauge distances using single-camera inputs, and Video Anomaly Detection, a field focused on identifying unusual human activities within video clips. In both domains, I employed innovative unsupervised and weakly supervised methods to maximize the utility of limited annotations while contributing to advancing these cutting-edge technologies.

Feel free to reach me for any question or curiosity.