Shantanu Nath

Shantanu Nath serves as a Research Fellow in the Department of Information Engineering and Computer Science at the University of Trento, hosted by the Interdepartmental Center for Mind/Brain Sciences (CIMEC). His work bridges computer science and cognitive neuroscience through interdisciplinary research.

His research interests span several key areas:

• Natural Language Processing
• Computer Vision
• Multimodal Learning
• Knowledge Representation
• Cognitive Science

He specifically investigates integrating lexical knowledge bases like WordNet with multimodal neural networks such as CLIP for image-language understanding tasks, focusing on semantic disambiguation and cognitive modeling applications.

Nath's recent publication in SemEval-2023 demonstrates a trend toward hybrid AI systems combining structured knowledge resources with deep learning for complex multimodal challenges, reflecting growing interest in interpretable and knowledge-enhanced AI approaches.

He is actively affiliated with CIMEC, an interdepartmental research center fostering collaboration between engineering, computer science, and neuroscience to advance the scientific study of mind and brain mechanisms.