Senior Researcher at Electronics and Telecommunications Research Institute, South Korea
Soocheol Kim is a dedicated senior researcher at the Electronics and Telecommunications Research Institute (ETRI), actively contributing to the fields of optical imaging and sensor technologies. His academic background in mechanical engineering and professional experience reflect a solid commitment to advancing next-generation imaging systems. His work is distinguished by innovative contributions to practical applications across sectors such as safety, healthcare, and industrial monitoring.
Profile
Scopus
Best Researcher Award
Soocheol Kim’s innovative contributions and consistent research output make him a compelling candidate for the “Best Researcher Award.” His role in developing imaging surveillance equipment capable of functioning under adverse weather conditions and his strong publication, patent, and industry project record demonstrate his excellence in translating research into impactful solutions. His achievements align with the award’s intent to recognize outstanding researchers transforming scientific knowledge into societal benefit.
Education
He earned his Bachelor of Science in Mechanical Engineering from Korea Aerospace University in 2013. He pursued his postgraduate education at Yonsei University, receiving his M.S. in 2015 and Ph.D. in 2020, both in Mechanical Engineering. His academic foundation supports his advanced research in optical technologies and systems.
Experience
Since 2020, Soocheol Kim has served as a Senior Researcher at ETRI. He has completed nine major research projects and is currently engaged in one. He has also led five industry-sponsored consultancy projects. His strong portfolio includes contributions to imaging technologies for security and surveillance applications, particularly in detecting aerial threats under difficult environmental conditions.
Research Interest
His primary research focus lies in optical imaging technologies and sensor development. This includes bio-microscopy imaging, biosensors, and fire detection systems, with special attention to innovations that improve performance in real-world, critical applications such as public safety, health diagnostics, and environmental monitoring.
Publication
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“LED Array-Based Multi-Angle Light Scattering for Aspirating Smoke Detection and Classification” July 2025
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“Design and Implementation of Multi-Dimensional Convergence Information Platform Based on Spatial and Disaster Safety Information” March 2024
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“Multiple-Scattering-Based Optical Simulation for Analyzing Response Characteristics of Photoelectric Smoke Detectors” December 2023
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“Time Series Classification with Multiple Wavelength Scattering Signals for Nuisance Alarm Mitigation” December 2023
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“Smoke Particle-Source Prediction Model Based on Multiple Optical Wavelengths Using Deep Learning” June 2023
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“Spectrometer-Based Wavelength Interrogation SPR Imaging via Hadamard Transform” February 2023