Ph.D student, Soongsil University/Departments of smartwearable engineering, South Korea
SangUn Kim is a dedicated Ph.D. student at Soongsil University, specializing in smart wearable engineering. With expertise in wearable sensors, actuators, and electronic textiles, he is pushing the boundaries of technology in areas like pressure sensors, stretchable electronics, and VR applications. Throughout his academic journey, he has published over 10 SCI-indexed articles in high-impact journals and actively collaborates with multidisciplinary teams to innovate in the field. His work has earned him recognition in the research community, and he is focused on bridging the gap between cutting-edge research and practical, real-world applications in smart wearable technology. 🎓🧠💡
Publication Profile
Google Scholar
Education:
SangUn Kim is currently pursuing an integrated Master’s and Ph.D. program at Soongsil University in the Department of Smart Wearable Engineering. His research interests revolve around wearable technologies and advanced materials. 🎓📚
Experience:
SangUn Kim has extensive experience in researching smart wearable engineering, specializing in the development of stretchable sensors and human arm workout classification systems. His expertise extends to shape memory alloys and AI-based textile systems. Kim has contributed to over 25 research projects, six industry collaborations, and multiple patents in the wearable technology sector. 🛠️🤖
Awards and Honors:
SangUn Kim’s work has garnered significant recognition in his field. His contributions to smart wearable engineering have been published in prominent journals such as Materials, Sensors, Fashion and Textiles, and Polymers. Additionally, he holds several patents in the domain and is a respected member of the Korean Fiber Society. 🏅🥇
Research Focus:
Kim’s research focuses on developing innovative solutions in smart wearable technology. This includes designing advanced sensors, improving shape memory alloys for heating methods, and creating human arm workout classification systems using machine learning algorithms. His work in the wearable sector is instrumental in advancing fitness monitoring, actuator design, and e-textiles. 🔬🧵
Conclusion:
SangUn Kim is an ambitious and highly skilled researcher whose work stands at the forefront of wearable engineering and smart textiles. His passion for innovation and his dedication to creating real-world applications from advanced research positions him as a leader in the field of smart wearables. 🌟🚀
Publications:
Effects of 3D printing-line directions for stretchable sensor performances
CC Vu, TT Nguyen, S Kim, J Kim
Journal: Materials 14 (7), 1791
Published Year: 2021
Link to article
Cited by: 15
Human arm workout classification by arm sleeve device based on machine learning algorithms
S Chun, S Kim, J Kim
Journal: Sensors 23 (6), 3106
Published Year: 2023
Link to article
Cited by: 7
Improved heating method for shape-memory alloy using carbon nanotube and silver paste
SJ Kim, SU Kim, CC Vu, JY Kim
Journal: Fashion and Textiles 10 (1), 16
Published Year: 2023
Link to article
Cited by: 6
The programmable design of large-area piezoresistive textile sensors using manufacturing by jacquard processing
SU Kim, TTN Truong, JH Jang, J Kim
Journal: Polymers 15 (1), 78
Published Year: 2022
Link to article
Cited by: 6
Variable shape and stiffness feedback system for VR gloves using SMA textile actuator
SU Kim, SM Gu, J Kim
Journal: Fibers and Polymers 23 (3), 836-842
Published Year: 2022
Link to article
Cited by: 5
Analysis of driving forces of 3D knitted shape memory textile actuators using scale-up finite element method
SU Kim, J Kim
Journal: Fashion and Textiles 9 (1), 38
Published Year: 2022
Link to article
Cited by: 4
Comparative Performance Analysis of Inverse Phase Active Vibration Cancellation Using Macro Fiber Composite (MFC) and Vibration Absorption of Silicone Gel for Vibration Reduction
SU Kim, JY Kim
Journal: Polymers 15 (24), 4672
Published Year: 2023
Link to article
Cited by: 2
Measurement of 3D Wrist Angles by Combining Textile Stretch Sensors and AI Algorithm
JH Kim, BH Koo, SU Kim, JY Kim
Journal: Sensors 24 (5), 1685
Published Year: 2024
Link to article
Cited by: 1
Evaluation of Electrical Properties and Uniformity of Single Wall Carbon Nanotube Dip-Coated Conductive Fabrics Using Convolutional Neural Network-Based Image Analysis
E Kim, SU Kim, J Kim
Journal: Processes 12 (11), 2534
Published Year: 2024
Link to article
Cited by: 0
Fabrication of a Capacitive 3D Spacer Fabric Pressure Sensor with a Dielectric Constant Change for High Sensitivity
JE Lee, SU Kim, JY Kim
Journal: Sensors 24 (11), 3395
Published Year: 2024
Link to article
Cited by: 0