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.
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Article Item
Sanghani Center Student Spotlight: Seyma Simsek , article Date: Mar 31, 2026 -