I am a researcher working at the intersection of human–computer interaction and artificial intelligence, with a focus on translating fundamental advances in AI into practical, human‑centered systems. My research emphasizes multimodal sign language technologies, AI‑driven human interaction, human activity understanding, and generative models for accessible and natural human–machine communication.
I received my PhD in Smart Engineering from Inha University in 2025. My doctoral research, titled
“Advancing Sign Language Recognition: A Multimodal Deep Learning Framework with Keypoint Vectorization,”
developed scalable and interpretable multimodal learning approaches for sign language understanding. My work integrates deep learning, computer vision, and human–computer interaction to improve accessibility and inclusive AI systems.
I have held research appointments across several leading institutions. I am currently an Assistant Professor in the Department of Computer Engineering at Gachon University, where I lead research in the Intelligent Network & Embedded Systems Lab. In parallel, I serve as a Research Professor and Senior Researcher collaborating with the Voice AI Research Institute at Inha University, focusing on multimodal learning, Vision Transformers, diffusion models, and large language model–based agents. Previously, I was a Postdoctoral Researcher at KAIST’s SpaceTop Research Center (ITRC), where I contributed to vision‑based VR keyboard systems with an emphasis on precise fingertip contact detection and real‑time interaction.
In addition to my research activities, I have extensive teaching experience at universities in Korea and Uzbekistan, delivering undergraduate and graduate courses in deep learning, computer vision, cybersecurity, machine learning, numerical analysis, and mathematical modeling. My current research continues to explore multimodal perception, AI‑driven human–computer interaction, and generative models, with broader interests in deploying robust, interpretable, and human‑centered AI systems in real‑world environments.
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