INFORMATION SCIENCE · AI · MULTIMODAL RETRIEVAL
Academic work and research
Reza Javidi’s research connects information science, artificial intelligence, artistic experience and practical information problems.
ACADEMIC STATUS
PhD student in Information Science and Knowledge Studies
University of Tehran · Focused on information retrieval, knowledge organization and applications of artificial intelligence in specialist settings.
Research Lens
From image and text to meaning, time and context: the central question is how to find meaningful similarity in complex data.
Research areas
Information retrieval
Neural retrieval, similarity modelling, semantic search and the design of responsive information systems.
Multimodal retrieval
Combining images, text and contextual signals to retrieve results beyond visual similarity alone.
Language and vision-language models
LLMs and VLMs, embeddings, transformers, and their use in knowledge organization and representation.
Medical information
Applications of artificial intelligence in specialist settings and the relationship between imaging data and clinical text.
Retrieval of similar clinical cases
A central focus of his doctoral research is retrieving similar clinical cases using medical images and clinical text together. The working premise is that clinical similarity is not necessarily the same as visual similarity: a system needs to combine visual, textual and temporal evidence within one model.
This perspective connects experience with image and performance to questions of meaning, context and memory in information systems.
Earlier research
The influence of online environments on students’ searches for scientific information, the effects of media on professional audiences, and the impact of knowledge management on organizational productivity.
Reference project
Developing a Comprehensive Dictionary of Information Science covering information retrieval, the semantic web, data, machine learning, neural networks and large language models.