Emanuele Rodolà

Emanuele Rodolà is a Full Professor of Computer Science at Sapienza University of Rome, leading the GLADIA group focused on Geometry, Learning, and Applied AI. He holds an ERC Grant and a Google Research Award. Previously, he was an Assistant and Associate Professor at Sapienza (2017-2020), a postdoc at USI Lugano, a Humboldt Fellow at TU Munich, and a JSPS Research Fellow at The University of Tokyo. He is an ELLIS fellow and member of the Young Academy of Europe, with multiple research awards.
His work bridges representation learning, geometry processing, graph/geometric deep learning, and audio/visual applications. Recent research includes unlearning mechanisms, neural model dynamics, and 3D shape reconstruction. He actively serves on top-tier conference committees and organizes workshops in AI and computer vision.

Education History:

• JSPS Research Fellowship, The University of Tokyo (2013)
• Humboldt Fellowship, TU Munich (2013-2016)
• Postdoc, USI Lugano (2016-2017)

Research focuses on foundational AI models, scalable latent space techniques, and interdisciplinary applications like music generation from EEG signals. His 150+ papers span geometric deep learning, diffusion models, and multimodal systems. Awards include ELLIS fellowship and Young Academy membership.