Professor 정성용's Research Team Wins Best and Excellent Presentation Paper Awards at the Korean Sensor Society Conference
Professor 정성용's research team (Division of Advanced Materials Engineering, Electronic Materials Engineering) graduate students recently won the Best Presentation Paper Award and the Excellent Presentation Paper Award side by side at the 2026 Korean Sensor Society Autumn Conference, recognizing their research excellence in the field of sensors.
The conference covered the latest research across sensor technologies, including gas, bio, wearable, and healthcare sensors, physical and MEMS sensors, and AI sensor platforms. In particular, a Korea–Taiwan–Japan joint symposium, the Korean Sensor Society–The Korean Society of Mechanical Engineers IT Convergence Session, the Young Scientist Forum, poster sessions, and industrialization sessions were held together, facilitating exchanges among industry, academia, and research communities and adding diversity to the event.
At the conference, student 윤성영 received the Best Presentation Paper Award for the study titled 'Centimeter-Scale Flexible 2D Bimetallic C-MOF Thin Films for Wireless Passive NH3 Detection.' The study demonstrated the realization of electrically conductive two-dimensional bimetallic conductive metal–organic frameworks (c-MOFs) as centimeter-scale flexible thin films and proposed the feasibility of a wireless ammonia detection system using this material.
The research team combined flexible c-MOF thin films with wireless sensing technology to demonstrate the possibility of gas detection without a separate battery. They also highlighted high potential for expansion into wearable devices, environmental monitoring, and wireless chemical sensor platforms.
Student 서정후 received the Excellent Presentation Paper Award for the study 'Low-Resistance and Highly Selective Xylene Sensor Using Sb-Doped SnO2 Hollow Spheres.' The study developed a sensor that selectively detects xylene, a representative volatile organic compound (VOC), by using antimony (Sb)-doped tin dioxide (SnO2) hollow spheres to lower the electrical resistance of oxide semiconductor gas sensors.
The work is characterized by combining a hollow structure that secures a large reactive surface area with electrical property control via Sb doping to achieve both low resistance and high xylene selectivity simultaneously.
Each study provides a foundation for enabling robots, smart manufacturing, industrial safety, and wearable devices to perceive gases and chemicals in real environments through wireless/passive sensor systems and highly selective chemical sensor materials. If cameras and tactile sensors are the 'eyes' and 'skin' of Physical AI, gas sensors can serve as the 'electronic nose' and a chemical sensory organ that reads surrounding chemical information, which is noteworthy.
This award demonstrates the capabilities of the Jeonbuk National University (JBNU) research team across functional nanomaterial design, gas sensor devices, and wireless sensing systems. It also confirmed the potential of next-generation chemical sensing technologies that help Physical AI perceive chemical information in real environments.
Professor 정성용 said, “We will continue research that can be applied to the environment, semiconductors, industrial safety, healthcare, and wireless sensor fields based on functional nanomaterials and chemical sensor technologies.” He added, “We will expand the research into next-generation chemical sensory sensor technologies that enable Physical AI to perceive chemical information in real environments.”