Bio-imaging & Brain Engineering Laboratory
Our Research Projects
Bio-imaging & Brain Engineering Laboratory
Our Research Projects
l Dual-Arm Humanoid Robotics and Reinforcement Learning
- Bimanual Long-Horizon Manipulation Via Temporal-Context Transformer Reinforcement Learning, IROS 2025
- Bimanual Long-Horizon Lifecare Robotics with Temporal Context LLM Planner and Transformer RL, IEEE EMBC 2025
- Counterfactual Multi-Agent Reinforcement Learning for Long-Horizon Medical Assistive Tasks with Dual-Arm Robot, IEEE EMBC 2025
- Multi-agent AMIX-DAPG of Dual-arm Robot for Long-Horizon Lifecare Tasks, ICAIIC 2025
- Long-Horizon Manipulation by a Single-arm Robot via Sub-goal Network based Hierachical Reinforcement Learning, ICBMT 2023
- Real-time Human Activity Recognition wit IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Neural Networks, Sensors 2022
- Grasping a Target Object in Clutter with an Anthropomorphic Robot Hand via RGB-D Vision Intelligence, Target Path Planning and Deep RL, KIPS Trans. SW & Data Processing 2022
- Reward Shaping to Learn Natural Object Manipulation with an Anthropomorphic Robot Hand and Hand Pose Priors via On-policy RL, ICICT, 2021
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l Deep Learning Projects: Human Activity Recognition & Computer Aided Diagnosis
- Human Activity Recognition via CNN and RNN based on Depth Imaging and IMU Sensors: J.H. Park et al., 2017; S.U. Park et al., 2016
- RGBD Human Hand Pose Recognition
- Breast Cancer Detection and Recognition via Deep Learning DBN: M. A. Al-antari et al., 2017
- Breast Cancer Computer Aided Diagnosis (CAD) Systems via Deep Learning: Mugahed et al., 2018 Mohammed et al., 2018
- Skin Lesion Segmentation via Deep Learning: Mohammed et al., 2018
- ISIC 2018 Deep Learning Skin Lesion Segmentation, Detection, and Diagnosis Challenge Leaderboards (Bioimaging-KHU) ranked 42 out of 112
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l 3D Depth Imaging, Human Pose Recognition, & Human Activity Recognition
- Human Pose Recognition from Depth Images: Nguyen Duc Thang et al., 2011
- Human Activity Recognition from Depth Images: Md. Zia Uddin et al., 2010; A. Jalal et al., 2012
- Human Computer Interaction
l Motion Sensor-based Human Activity Recognition
- Human Activity Recognition Using Accelerometers: A.M. Khan et al., 2010; A.M. Khan et al., 2010
- Personal Life Logging: Myung-Woo Lee et al., 2011
l Smart Home Technologies: Activity Recognition, Life Logging, Gesture Interface, HCI
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l Brain Stimulation Technologies
- Transcranial Direct Current Stimulation (tDCS): Lee et al., 2009; W. H. Lee et al., 2012; H. S. Suh et al., 2012
- Transmagnetic Magnetic Stimulation (TMS): Y.S. Cho et al., 2010
- Brain Stimulation via Ultrasound
l Brain Computer Interface (BCI)
- P300-based BCI: Khan et al., 2012
- P300-based Word Typing BCI Systems
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l Ultrasonic Imaging
- Ultrafine Ultrasound: Kim et al., 2003
- Ultrasound Computed Tomography: Kim et al., 2003; Marmarleis et al., 2003; Kim et al., 2005; Jeong et al., 2004;
- Ultrasonic Soft Tissue Differentiation: Kim et al., 2003; Jeong et al., 2005;
- Finite Element Analysis of Ultrasound Propagation: Kim et al., 2009;
- Ultrasound Pulse Detection: Kim et al., 2009;
- Ultrasound and Bone: S.H Kim et al., 2009
- Photoacoustic Imaging
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l Magnetic Resonance Imaging (MRI)
- Functional MRI: Singh et al., 2002; Jeong et al., 2004
- Breast MREIT: Lee at al., 2006
l Bioelectromagnetic Brain Imaging
- EEG/MEG: T.S. Kim et al., 2002
- Finite Element Analysis of Bioelectromagnetics: Lee et al., 2006
l Biomedical Signal & Image Processing
- Independent Component Analysis: Tahir et al., 2009;
- Medical Image Enhancement and Denoising: Truc et al., 2009;
- Image Segmentation: Truc et al., 2008; Truc et al., 2009;
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