جست‌وجوی استاد و پژوهشگر

Emanuele Rodolàمشاهده پروفایل

استاد

• Representation Learning
• Geometry Processing
• Graph and Geometric Deep Learning
• +۳ مورد دیگر

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.

Leonardo Gabrielliمشاهده پروفایل

پژوهشگر

• Audio Signal Processing
• Machine Learning
• Embedded Systems
• +۳ مورد دیگر

Prof. Leonardo Gabrielli is a Researcher at the Department of Information Engineering (Università Politecnica delle Marche). His work focuses on audio signal processing, machine learning, and embedded systems with applications in real-time audio generation, acoustic scene analysis, and smart transportation systems. He has contributed to projects such as emergency vehicle detection systems and audio enhancement techniques for reverberant environments. His research interests include neural network-based audio processing, physical modeling of musical instruments, and sustainable IoT applications. He has developed prototypes for driver-assistance systems, packet loss concealment algorithms, and biomedical signal analysis tools using deep learning approaches. Prof. Gabrielli collaborates on datasets like A3CarScene for driving scene understanding and has explored generative models for music synthesis and medical diagnostics. His work bridges theoretical signal processing with practical embedded system implementations, emphasizing real-world applications in automotive, healthcare, and environmental monitoring domains. Key Projects: Emergency vehicle detection, smart loudspeaker equalization, music streaming optimization Lab Affiliation: Department of Information Engineering's audio processing laboratories

• Experimental Phonetics
• Sociolinguistics
• Bilingual Speech
• +۳ مورد دیگر

Alessandro Vietti is a Tenured Associate Professor of Linguistics at the Free University of Bozen-Bolzano, Italy, and Director of the ALPS (Alpine Laboratory of Phonetic Sciences). He holds a PhD in theoretical linguistics and sociolinguistics from the University of Pavia. His research focuses on experimental phonetics, sociolinguistics, and the quantitative analysis of speech variation using advanced methods like Ultrasound Tongue Imaging (UTI) and social network analysis. He leads projects such as the AlpiLinK corpus and the Phoné initiative for spoken Italian recognition systems. Key research areas include bilingual speech patterns in multilingual contexts, articulatory phonetics, and the sociolinguistic implications of phonetic variation. Vietti has developed a specialized laboratory for phonetic studies and contributed to documenting endangered languages through ASR systems. He teaches courses like Introduction to Linguistics and Sociolinguistics at the Bachelor level. His work bridges theoretical linguistics with applied methodologies, emphasizing empirical and technological innovation in language research. Notable projects include a DFG-funded study on Tyrolean dialect sounds (€500k) and collaborative research on multilingual speech models. Vietti’s publications span phonetic articulation, sociolinguistic modeling, and computational tools for language analysis. His contributions reflect a commitment to interdisciplinary approaches, integrating linguistics with technology and social science.

Roberto Basiliمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Knowledge Representation
• +۵ مورد دیگر

Roberto Basili is an Associate Professor in the Department of Computer Science at the University of Roma, Tor Vergata, where he has been a member of the Artificial Intelligence group (ART) since 1991. His academic appointments span both the Faculty of Engineering and the Department of Linguistics, reflecting his interdisciplinary approach to natural language processing and computational linguistics. Professor Basili's research focuses on Natural Language Processing, Machine Learning, Knowledge Representation, and their applications in Information Retrieval and the Semantic Web. His work particularly emphasizes semantic tagging, word sense disambiguation, ontology engineering, and music genre categorization. He leads the ART (Artificial Agent @ Roma Tor Vergata) research group, which develops frameworks for language-driven ontology learning and question answering systems. His publication record shows consistent contributions from the early 1990s through 2006, with recent work emphasizing kernel methods for semantic role labeling, ontology-driven information retrieval, and hierarchical semantic analysis. The research trends indicate a progression from foundational work in lexical acquisition and parsing toward more sophisticated semantic analysis and ontology integration, reflecting the evolution of the NLP field itself. Professor Basili has secured significant research funding through multiple EU Framework Program projects including PrestoSpace (FP6), FF-Poirot (FP5), and MOSES (FP5), as well as NSF grants and Italian national research initiatives (PRIN). These projects demonstrate his ability to lead large-scale collaborative research efforts addressing both theoretical challenges and practical applications in language technology. His teaching responsibilities include courses on Distributed Databases and Information Retrieval, Database Systems, Fundamentals of Programming in the Faculty of Engineering, and Trattamento Automatico delle Lingue (Natural Language Processing) in the Department of Linguistics. This dual appointment underscores his bridging of computer science and linguistic approaches to language processing.