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 · Ongoing PhD research in multimodal medical information retrieval, representation learning and semantic indexing, with mammography as the primary case study.
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
Medical Image Retrieval and Clinical Information Retrieval, with a focus on semantic search and similarity modelling.
Multimodal Medical Information Retrieval
Combining medical images, clinical text and contextual signals to retrieve relevant cases.
Representation Learning and Semantic Indexing
Representation Learning and Semantic Indexing form the basis for representing and organizing image and text data within the retrieval framework.
Mammography
Mammography is the primary case study for designing and evaluating the retrieval framework and examining the relationship between medical images and clinical information.
Current PhD research
Design and evaluation of a multimodal medical information retrieval framework based on representation learning and semantic indexing, with mammography as the primary case study. His ongoing PhD research examines how medical images and clinical information can be connected to retrieve relevant cases. A central premise is that clinical similarity is not necessarily identical to visual similarity: meaningful retrieval must consider clinical context alongside visual evidence.
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.