Assoc. Prof. Dr. Giuseppe Placidi | Medical Imaging | Best Research Article Award
Professor | University of L’Aquila | Italy
Assoc. Prof. Dr. Giuseppe Placidi is an accomplished researcher whose work spans artificial intelligence, biomedical engineering, and human-computer interaction, with a strong emphasis on translational applications. His research demonstrates a rare combination of methodological innovation and practical impact, exemplified by his development of a lightweight convolutional neural network (CNN) for detecting COVID-19 from chest CT scans, which offers rapid and accurate diagnostic capabilities in clinical settings. In addition, he has contributed significantly to emotion recognition in human-robot interaction, advancing understanding of how AI systems can interpret and respond to human affective states. His work on EEG-based brain-computer interfaces driven by self-induced emotions highlights his expertise in integrating neurophysiological data with real-time computational algorithms, paving the way for more responsive and adaptive BCI systems. Beyond AI and neuroengineering, he has investigated neurocognitive function using semi-immersive virtual reality tasks combined with functional near-infrared spectroscopy, revealing insights into prefrontal cortex activation during complex motor tasks. Furthermore, his clinical research on gender differences in osteoporosis contributes to the understanding of disease mechanisms and patient-specific healthcare strategies. Published in high-impact journals such as Pattern Recognition Letters, Frontiers in Robotics and AI, and Computer Methods and Programs in Biomedicine, Dr. Placidi’s work is widely cited and recognized for its scientific rigor, interdisciplinary breadth, and societal relevance. His research consistently bridges cutting-edge computational methods with real-world applications, making him an exemplary candidate for recognition in research excellence.
Featured Publications
Polsinelli, M., Cinque, L., & Placidi, G. (2020). A light CNN for detecting COVID-19 from CT scans of the chest. Pattern Recognition Letters, 140, 95–100.
Spezialetti, M., Placidi, G., & Rossi, S. (2020). Emotion recognition for human-robot interaction: Recent advances and future perspectives. Frontiers in Robotics and AI, 7, 532279.
Iacoviello, D., Petracca, A., Spezialetti, M., & Placidi, G. (2015). A real-time classification algorithm for EEG-based BCI driven by self-induced emotions. Computer Methods and Programs in Biomedicine, 122(3), 293–303.
Moro, S. B., Bisconti, S., Muthalib, M., Spezialetti, M., Cutini, S., Ferrari, M., … Placidi, G. (2014). A semi-immersive virtual reality incremental swing balance task activates prefrontal cortex: A functional near-infrared spectroscopy study. NeuroImage, 85, 451–460.
De Martinis, M., Sirufo, M. M., Polsinelli, M., Placidi, G., Di Silvestre, D., & Ginaldi, L. (2020). Gender differences in osteoporosis: A single-center observational study. The World Journal of Men’s Health, 39(4), 750.