CHEONG, TAE SUNG – Disaster Risk Management – Best Researcher Award

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CHEONG, TAE SUNG - Disaster Risk Management - Best Researcher Award

National Disaster Management Institute - South Korea

AUTHOR PROFILE

SCOPUS

CHAIRMAN OF THE KOREA IPCC PROFESSIONAL COMMITTEE:

CHEONG, TAE SUNG serves as the Chairman of the Korea IPCC Professional Committee (K-IPCC), playing a pivotal role in shaping climate change policies and strategies in Korea. His leadership and expertise are crucial in guiding the committee’s work and ensuring impactful contributions to the global climate change discourse.

COORDINATING LEAD AUTHOR AND RESEARCH CONTRIBUTOR:

As the Coordinating Lead Author of Chapter 10 (Asia) in the IPCC WGII AR6 and Lead Author of Chapter 9 in the IPCC SREX Report, CHEONG contributes significantly to the understanding of climate change impacts and adaptation strategies. His work informs global climate policies and enhances scientific knowledge on climate resilience and sustainability.

MEMBER OF NATIONAL AND INTERNATIONAL COMMITTEES:

CHEONG is an influential member of several prestigious committees, including the Presidential Commission on Carbon Neutrality and Green Growth, the Crisis Management Manual Committee, and the Pre-disaster Impact Review Committee. His involvement ensures that climate and disaster management policies are robust, scientifically sound, and effective in mitigating risks.

AWARD-WINNING RESEARCHER AND CONTRIBUTOR:

CHEONG has received numerous awards for his outstanding contributions to disaster risk management, climate change research, and public administration. Notable recognitions include the Outstanding Researcher Award of the National Disaster Management Institute, the Ministry of Environment Award for IPCC work, and the Korean Society of Civil Engineers Award for Outstanding Research Paper.

EDITOR AND DIRECTOR IN PROFESSIONAL JOURNALS:

CHEONG serves as Editor in Chief of the Journal of Disaster Science and Management and holds editorial positions in renowned journals such as Water Resources Research, the Journal of Hydraulics, and the Journal of Hydroinformatics. His editorial roles ensure the dissemination of high-quality research and advancements in disaster science and water resource management.

DIRECTOR AND SENIOR RESEARCH OFFICER:

As the Director on the Climate Change Adaptation and Disaster Risk Reduction Division of the Korean Society of Hazard Mitigation, and Senior Research Officer on the Disaster Risk Reduction Division at NEMA, Ulsan, Korea, CHEONG leads critical initiatives to enhance disaster preparedness and resilience. His strategic direction strengthens national disaster management capabilities.

DISTINGUISHED AUTHOR AND PEER-REVIEWED RESEARCHER:

CHEONG has authored numerous influential publications in peer-reviewed journals, contributing significantly to the fields of flood risk management, climate change adaptation, and disaster resilience. His research outputs, including developments in early warning systems and comprehensive heat wave measures, provide valuable insights and practical solutions for managing environmental challenges.

NOTABLE PUBLICATION

Development of Flood Early Warning Frameworks for Small Streams in Korea
Authors: Cheong, T.-S., Choi, C., Ye, S.-J., Kim, S., Koo, K.-M.
Year: 2023
Journal: Water (Switzerland)

The development of design-width prediction equation by using 12 local governments data collected from small stream of Korea
Authors: Choi, C., Cheong, T.S.
Year: 2023
Journal: Journal of Korea Water Resources Association

Development of priority setting process for the small stream restoration projects using multi criteria decision analysis
Authors: Seo, J.P., Cho, W., Cheong, T.S.
Year: 2015
Journal: Journal of Hydroinformatics

Development of GIS-based disaster assessment system to reduce flood risks in urbanized creeks
Authors: Cheong, T.S., Felix, M.L.A., Jeong, S.M.
Year: 2014
Journal: Desalination and Water Treatment

Case studies
Authors: Murray, V., Mc Bean, G., Bhatt, M., Warner, K., Zodrow, I.
Year: 2012
Book: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change

Chang Su – Computer application – Best Researcher Award

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Chang Su - Computer application - Best Researcher Award

Ocean University of China - China 

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Chang Su's academic journey began at the Department of Information Science and Engineering at Ocean University of China. He showed promise from an early age, demonstrating a keen interest in computer applications. His pursuit of knowledge in this field laid the foundation for his future endeavors in academia and professional practice.

PROFESSIONAL ENDEAVORS

In his professional journey, Chang Su has showcased significant expertise in computer applications. His involvement in the National Key R&D Program of China, collaborating with South China Aero Engine Factory 331, exemplifies his commitment to advancing intelligent manufacturing technologies. This experience has not only enriched his skill set but has also provided valuable insights into real-world applications of computer science.

CONTRIBUTIONS AND RESEARCH FOCUS

Chang Su's research focus lies in intelligent manufacturing, a critical area within computer applications. His contributions to the National Key R&D Program of China, particularly in the manufacturing of aircraft engine casings and blades, highlight his dedication to advancing the field. His research endeavors aim to leverage computer applications to enhance efficiency and innovation in manufacturing processes.

IMPACT AND INFLUENCE

Chang Su's participation in conferences like the IEICE conference and the HCII 2020 underscores his growing influence in the academic community. By publishing manuscripts in reputable venues, he has contributed to the dissemination of knowledge and fostered collaboration among researchers in the field of computer applications.

ACADEMIC CITES

Chang Su's research publications and contributions to prestigious conferences have garnered academic attention and citations. His work serves as a testament to his expertise and scholarly contributions in the domain of computer applications, further solidifying his reputation as a promising researcher in the field.

LEGACY AND FUTURE CONTRIBUTIONS

As Chang Su continues his journey toward obtaining a Ph.D. in Computer Applications, his legacy lies in his dedication to advancing intelligent manufacturing technologies. Through his research, he aims to make significant contributions to the field, shaping the future of computer applications and its impact on various industries. His work will pave the way for continued innovation and progress in the realm of intelligent manufacturing.

NOTABLE PUBLICATION

Zinc-mineralized diatom biosilica/hydroxybutyl chitosan composite hydrogel for diabetic chronic wound healing 2024 (1)

The hierarchical porous structures of diatom biosilica-based hemostat: From selective adsorption to rapid hemostasis 2023 (7)

Diatom-Inspired Bionic Hydrophilic Polysaccharide Adhesive for Rapid Sealing Hemostasis 2023 (4)

PEG-mediated hybrid hemostatic gauze with in-situ growth and tightly-bound mesoporous silicon 2022 (4)

 

Salim Chehida – Smart grid security – Best Researcher Award

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Salim Chehida - Smart grid security - Best Researcher Award

VERIMAG - Université Grenoble alpes - France

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Salim Chehida's academic journey commenced with an Engineer Degree in Computer Science from the University of Mostaganem, Algeria. He furthered his studies with a Magister Degree in Information Systems Engineering and eventually pursued a Ph.D. in Computer Science specializing in Software Engineering and Systems Security from the University of Oran 1 in Algeria in collaboration with the University of Grenoble Alpes in France.

PROFESSIONAL ENDEAVORS

Dr. Salim Chehida has had a diverse professional career, starting as a Software Engineer at the Finance Direction in Algeria and later transitioning to roles as a Scientific Researcher and Assistant Professor at the University of Mostaganem, Algeria. Currently, he serves as a Research and Development Expert at the University of Grenoble Alpes in France, contributing significantly to the fields of Software Engineering and Deep Learning.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Chehida's expertise lies in Software Engineering, particularly in the design, development, security, verification, and validation of software systems. He has made notable contributions to various innovative projects, including those related to cyber-physical systems (CPS) and Internet of Things (IoT) systems. His research focuses on deep learning applications, including image classification, segmentation, and object detection, as well as smart grid security.

IMPACT AND INFLUENCE

Dr. Chehida's research and development work have had a significant impact on academia and industry, particularly in the domains of software engineering and deep learning. His involvement in numerous projects, collaborations with companies and institutions worldwide, and contributions to conferences and publications have established him as a respected expert in his field.

ACADEMIC CITES

Dr. Chehida's publications and technical reports have been widely cited, reflecting the importance and relevance of his research contributions. His work in smart grid security and deep learning applications has garnered attention from researchers and professionals in academia, industry, and government organizations.

LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Chehida continues to advance his research and development endeavors, his legacy in the fields of software engineering and deep learning is assured. His future contributions are expected to further enhance our understanding and application of smart grid security measures and deep learning techniques, addressing critical challenges in cybersecurity and artificial intelligence for years to come.

NOTABLE PUBLICATION

Model-based Self-adaptive Management in a Smart Grid Substation 2023 (2)

Generation and verification of learned stochastic automata using k-NN and statistical model checking 2022 (1)

Learning and analysis of sensors behavior in IoT systems using statistical model checking 2022 (5)

BRAIN-IoT Architecture and Platform for Building IoT Systems 2022 (2)