Sejong University Professor Kim Younggap's Research Team Wins 'IEEE Outstanding Paper Award'

Sejong University announced on November 21 that Research Professor Palash Yuvraj Ingle, a member of Professor Kim Younggap's research team from the Department of Information Security, received the 'IEEE Outstanding Paper Award' at IEEE DASC 2025, a world-renowned academic conference in the fields of artificial intelligence and security.

Professor Palash Yuvraj Ingle, a research professor in the Department of Information Security at Sejong University led by Professor Kim Younggap, received the 'IEEE Outstanding Paper Award' at IEEE DASC 2025. Sejong University

IEEE DASC 2025 (The 23rd IEEE International Conference on Dependable, Autonomic and Secure Computing) is a leading international conference in the fields of artificial intelligence, security, and autonomous systems, organized by the IEEE Computer Society. It was held from October 21 to 24 in Hakodate, Hokkaido, Japan.

The award-winning paper, 'FireNarrator: Multimodal LLM-Based Fire Incident Reporting with Decision Logic,' proposes an intelligent fire reporting system that automatically recognizes and explains fire incidents by leveraging large language models (LLM) and sensor fusion technology. While conventional fire detection systems are limited to simply determining whether a fire has occurred, FireNarrator processes image, sensor, and language data simultaneously to comprehensively assess the type, severity, and response measures for a fire, and automatically generates natural language reports that are easily understood by humans. This comprehensive approach has drawn significant attention.

This research was supported by the STEAM-Future Convergence Technology Pioneer Research Program of the National Research Foundation of Korea under the Ministry of Science and ICT. Experiments demonstrated that FireNarrator significantly outperforms existing systems in fire classification accuracy and natural language report generation. Furthermore, the content of the automatically generated reports was evaluated as being suitable for use in actual fire incident reporting, supporting the potential for artificial intelligence to evolve into an intelligent disaster response tool capable of interpreting and explaining situations.

Professor Kim Younggap stated, "This achievement has laid an important foundation for advancing safety management and disaster response based on AI technology," adding, "We plan to continue expanding our research with the goal of creating social value."

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