Seyma Simsek
Seyma Simsek is a Ph.D. student in the Department of Computer Science, advised by Chang-Tien Lu.
Her research focuses on computer vision and natural language processing, with an emphasis on multimodal learning and vision-language models.
She is particularly interested in developing artificial intelligence methods for multimodal reasoning and retrieval, leveraging large language models (LLMs), retrieval-augmented generation (RAG), and graph neural networks (GNNs) for structured information extraction and cross-modal retrieval across images, text, video, and audio.