HCIR Lab

Welcome to HCIR Lab in Seoul National University of Science and Technology

[ HCIR Lab News ]

• Journal Publish: "FRU-Adapter: Frame Recalibration Unit Adapter for Dynamic Facial Expression Recognition," coauthored with M. Her and H.G. Nabi is accepted in Electronics, 2025. Congraturations!

• Journal Publish: "MSA-GCN: Exploiting Multi-Scale Temporal Dynamics with Adaptive Graph Convolution for Skeleton-Based Action Recognition," coauthored with K.C. Alowonou is accepted in IEEE ACCESS, 2024. Congraturations!

• Journal Publish: "Zero-Shot Proxy with Incorporated-Score for Light-Weight Deep Neural Architecture Search," coauthored with T.-T. Nguyen and J.-H. Han is accepted in Electronics, 2024. Congratulations!

• Journal Publish: "Relative Age Position Learning for Face-based Age Estimation," coauthored with S. Amirullaeva and J.-H. Han is accepted in IEEE ACCESS, 2024. Congratulations!

• Research Fund: The project named "AI and HPC-based High-Speed Encryption Research" is accpeted and funded by NRF, 2024-2027.

• Research Fund: The project named "Development for Processing Software on AI Semiconductor Devices" is accepted  and funded by IITP, 2022-2029.

• Research Fund: The project named "Development of Human Digital Twin Technology Based on Dynamic Behavior Modelling and Human-Object-Space Interaction" is accepted  and funded by IITP, 2022-2025.

[ Research Topics ]

• AI & Deep Learning

  • HCIR lab studies AI & deep learning algorithms to achieve better performance in various fields including computer vision, natural language processing, and robot intelligence. Moreover, we research the efficient deep learning algorithms which can be trained and run on the edge devices. 

• Intelligent Robot

  • HCIR lab focuses on AI and deep learning algorithms for a better robot intelligence. We develop intelligent robots that can understand the context based on robot vision, express its understanding based on natural language, and act intelligently.

• Human-Robot Interaction

  • HCIR lab studies AI-driven human-robot interaction and cooperation. We especially focus on the reinforcement learning for better human-robot cooperation. Also, we research various human-robot interaction fields including human intention reading, human action recognition, and human facial expression recognition.

• AI Applications

  • HCIR lab's research fields are not limited to intelligent robots. We study various AI applications, for example detecting and classifying traffic accidents from dashcam videos.

[ Notice ]

• HCIR Lab 에서 함께 연구할 2025학년도 학부연구생 및 2025/2026학년도 대학원생 (석사, 박사과정) 을 모집합니다. 관심있는 학생들은 교수님 이메일로 간단한 자기소개와 이력서 (CV) 를 보내기 바랍니다.

• HCIR Lab is looking for undergraduate and graduate students (M.S. and Ph.D.) for 2024 and 2025, respectively. Students who want to join HCIR Lab send CV to Prof. Han.