Raffaella Bernardi is an Associate Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Science (CIMeC). She holds a PhD in Logic and Language from Utrecht University (2002) and has held academic positions at the Free University of Bozen-Bolzano and the University of Trento. Her research focuses on computational linguistics, formal semantics, distributional semantics, and multimodal models, with a particular emphasis on integrating vision and language systems. Education: PhD in Logic and Type Theory (2002, Utrecht University), Master's in Philosophy (1994, University of Chieti), and High School Diploma (1990). Research Interests: Natural Language Processing, Categorial Type Logic, Compositional Distributional Semantics, Visual Dialogues, and Multimodal Reasoning. She has pioneered work on grounding language in visual contexts and has contributed to key projects like the ERC-funded COMPOSES initiative. Grants & Leadership: Principal Investigator on EU projects (e.g., CACAO, Galateas) and member of the ERC COMPOSES team. She chairs conferences like ACL and EMNLP and serves on editorial boards for journals like the Journal of Logic, Language, and Information. Labs: Leads the LaVi (Language and Vision) research group and collaborates with the CLIC Lab. Active in organizing workshops on Formal Grammar and Vision-Language Integration.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۱-۳ از ۳ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
- Natural Language Processing
- Computational Linguistics
- Visually Grounded Conversational Models
- +۹ مورد دیگر
Raffaella Bernardi is an Associate Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy. She previously held academic positions at the University of Trento and the Free University of Bozen-Bolzano. Her research is centered on Computational Linguistics, with a focus on the interplay between language and reasoning in multimodal and conversational contexts. Research Interests: Her primary research areas include Natural Language Processing, Visually Grounded Conversational Models, Large Language Models (LLMs), Vision-Language Models (VLMs), and the cognitive abilities of AI systems. She investigates how language and reasoning interact, particularly in dialogue and multimodal settings. The analysis of her 15 most recent publications reveals a strong emphasis on multimodal reasoning, human-AI interaction, and the cognitive evaluation of language models. Her work frequently explores how AI systems understand and generate language in context, particularly in grounded and interactive environments. There is a consistent trend toward benchmarking, evaluation, and understanding the reasoning capabilities of modern LLMs and VLMs. Fellow of ELLIS (European Laboratory for Learning and Intelligent Systems) Best Paper Award, INLG 2023 Best Paper Nomination, Clic-it 2020 Best Paper Nomination, NL4AI 2020 Raffaella Bernardi has supervised numerous PhD and Master’s students, including Leonardo Bertolazzi, Claudio Greco, Alberto Testoni, and Sandro Pezzelle. She has been involved in significant research projects, often funded by industrial partners like SAP and EU initiatives. She has also been active in organizing scientific events and serving in leadership roles within the ACL and AILC communities. She leads a research group focused on multimodal language understanding and grounded interaction. Her team has developed benchmarks such as BD2BB (Be Different to Be Better) to evaluate the complementarity of language and vision in AI systems.
Marco Grassiمشاهده پروفایل
دانشیار
- Electrical and Electronic Measurements
- Analog-to-Digital Converters
- Electronic Circuit Design
- +۵ مورد دیگر
Marco Grassi is an Associate Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Pavia, specializing in electrical and electronic measurements (disciplinary sector IMIS-01/B). His academic activities include teaching three major courses: Electronics for Industrial Measurements, Digital IC Design, and Mechanical and Thermal Measurements for both Industrial Automation Engineering and Electrical Engineering programs. Professor Grassi's research spans multiple domains with a strong focus on analog-to-digital conversion techniques , particularly low-power SAR ADCs for audio and space applications, space instrumentation for missions like HERMES and THESEUS, and biomedical electronics including visual prostheses. His work consistently addresses the challenges of precision measurement systems in demanding environments. His recent publications (2023-2025) reveal a research trajectory that bridges fundamental circuit design with high-impact applications in space exploration and medical devices. This interdisciplinary approach has led to contributions in top journals across multiple fields including IEEE Transactions, Astronomy & Astrophysics, and biomedical engineering publications. Professor Grassi has secured patent protection for several of his innovations, particularly in power delivery circuits and microphone electronics, demonstrating the practical applications of his research. His technical expertise spans from theoretical circuit design to flight-ready space instrumentation. As an educator, Professor Grassi maintains an active teaching schedule with courses that integrate his research expertise into the classroom, providing students with exposure to cutting-edge measurement techniques and electronic design principles applicable to both terrestrial and space environments.