Published on by Innovation Technologist

Innovative Research Award

Heeyoung Ahn
National Institute of Forest Science, Republic of Korea

Heeyoung Ahn
Affiliation National Institute of Forest Science
Country South Korea
Scopus ID 59943381500
Documents 2
Citations 3
h-index 1
Subject Area Agricultural and Biological Sciences
Event Global Innovation Technologist Awards

Heeyoung Ahn is a researcher affiliated with the National Institute of Forest Science in the Republic of Korea. Her research contribution is represented in the open-access article A Real-Time Decision Support Framework for Helicopter Dispatch During Multiple Simultaneous Forest Fires in the Republic of Korea, published in Fire in 2026. The study addresses operational resource allocation during simultaneous forest fires through real-time fire information, simulation, and optimization methods. [1]

Abstract

The study develops an interactive decision support framework for helicopter dispatch during multiple simultaneous forest fires in the Republic of Korea. It integrates real-time fire information, fire-spread simulation, resource availability, prioritization, and integer linear programming to generate operational dispatch alternatives. The framework was evaluated using hypothetical and actual simultaneous fire incidents and compared with manual dispatch decisions. [1]

Keywords

Forest fire suppression; helicopter dispatch; integer linear programming; fire simulation; resource allocation; decision support; forest management.

Introduction

Forest fires in the Republic of Korea frequently occur simultaneously, creating competition for limited aerial suppression resources. The research responds to this operational challenge by developing a structured framework intended to support rapid, evidence-based helicopter allocation rather than relying exclusively on manual expert judgment. [1]

Research Profile

Ahn’s documented profile identifies an affiliation with the National Institute of Forest Science and a subject area within Agricultural and Biological Sciences. The supplied Scopus record lists two documents, three citations, and an h-index of 1. [2]

Research Contributions

  • Contributes to real-time forest-fire decision support and resource allocation.
  • Connects fire-spread simulation with integer linear programming.
  • Considers operational constraints and competing simultaneous incidents.
  • Provides an analytical basis for comparing optimized and expert-led dispatch strategies. [1]

Publications

Jeon, D.; Chung, W.; Kim, G.; Lee, B.-D.; Kwon, C. G.; Ahn, H.-Y.; Lee, Y.-E.; Han, H. “A Real-Time Decision Support Framework for Helicopter Dispatch During Multiple Simultaneous Forest Fires in the Republic of Korea.” Fire, 9(7), 305, 2026. [1]

Research Impact

The article demonstrates an applied research pathway connecting operations research, fire behavior modeling, and forest-fire management. Its principal significance lies in supporting decision-makers with alternative helicopter dispatch scenarios under constrained resources, while retaining human judgment within the operational process. [1]

Award Suitability

For the Global Innovation Technologist Awards, the research provides a relevant basis for consideration under an innovative research category. The work combines computational optimization with a practical forest-fire management problem and demonstrates a technology-enabled approach to emergency resource allocation. The supplied publication and researcher metrics should be considered alongside the award’s official eligibility and evaluation criteria. [1] [2]

Conclusion

Heeyoung Ahn’s documented contribution is situated at the intersection of forest-fire science, operational research, and technology-assisted decision support. The cited 2026 publication provides a concrete example of interdisciplinary research designed to improve helicopter dispatch decisions during simultaneous forest fires in the Republic of Korea. [1]

References

  1. Jeon, D.; Chung, W.; Kim, G.; Lee, B.-D.; Kwon, C. G.; Ahn, H.-Y.; Lee, Y.-E.; Han, H. (2026). A Real-Time Decision Support Framework for Helicopter Dispatch During Multiple Simultaneous Forest Fires in the Republic of Korea. Fire, 9(7), 305.
    https://doi.org/10.3390/fire9070305
  2. Elsevier. (n.d.). Scopus author details: Heeyoung Ahn, Author ID 59943381500. Scopus.
    https://www.scopus.com/pages/authors/59943381500
  3. MDPI. (2026). Fire, Volume 9, Issue 7. MDPI Open Access publication record.
  4. National Institute of Forest Science. Research and forest-fire science resources. Republic of Korea.
  5. Korea Forest Service. Forest fire prevention and suppression information. Republic of Korea.
Heeyoung Ahn | Agricultural and Biological Sciences | Innovative Research Award

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