Xinze Liu | Ecological conservation | Best Researcher Award

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Prof. Xinze Liu | Ecological conservation | Best Researcher Award

Senior Engineer at Sichuan Geological Environment Survey and Research Center, China

Prof. Xinze Liu (born 1987) is a senior engineer specializing in natural heritage conservation and ecological restoration. He holds a master’s degree from China University of Geosciences (Wuhan) and is affiliated with the Sichuan Geological Environment Investigation and Research Center. With 14 peer-reviewed publications 📄 and 16 patent applications 🏅, he is the principal inventor of travertine natural restoration technology, officially recognized as green technology by eight Chinese government departments. His work in Huanglong Scenic Area has significantly enhanced heritage preservation 🏞️ and sustainable development.

 

Publication Profile

Scopus

Orcid

 

Academic and Professional Background

Prof. Xinze Liu, born in 1987, is a senior engineer with a master’s degree from China University of Geosciences (Wuhan). He is currently affiliated with the Sichuan Geological Environment Investigation and Research Center, where he specializes in natural heritage conservation and ecological restoration research. His work plays a critical role in safeguarding geological and ecological environments, positioning him as a leading expert in his field.

Research Contributions

Prof. Liu has an impressive academic record, having published 14 peer-reviewed papers in authoritative professional journals. His research is widely recognized within the scientific community, reflecting his strong commitment to advancing knowledge in ecological restoration and conservation.

Research Focus

Liu Xinze’s research focuses on travertine mineralogy, carbonate deposition, and geological heritage conservation. His study on Huanglong’s travertine formations explores their mineralogical characteristics, spatial distribution, and formation processes from the Late Pleistocene to Early Holocene. His work integrates geology 🏔️, geochemistry ⚗️, and environmental science 🌱, contributing to natural heritage preservation and ecological restoration. His research also has implications for climate change studies 🌡️ and sustainable conservation efforts of World Heritage Sites. His expertise spans geomorphology, hydrogeology, and mineral formation, making significant contributions to earth sciences.

 

Publication Top Note

Travertine Mineralogical Characteristics and Spatial Distribution in Huanglong, China, a World Natural Heritage: Derived from Late Pleistocene to Early Holocene Glacial U-Shaped Valley Carbonate Deposits

 

Pin-Chun Huang | Environmental Science | Best Researcher Award

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Assist. Prof. Dr. Pin-Chun Huang | Environmental Science | Best Researcher Award

Assist. Prof. Dr. Pin-Chun Huang, National Taiwan Ocean University, Taiwan

Dr. Huang is an expert in hydrology and river engineering with extensive experience in rainfall-runoff modeling and flood prediction. He holds a Ph.D. from NTOU and has received numerous awards, including the 2022 Excellent Young Scholars Award from Taiwan’s National Science and Technology Council. He has published widely in high-impact journals, focusing on hydrological and geomorphological systems for flood and coastal inundation forecasting. 🌊💧🌐📚

Publication Profile

Google Scholar

 

Professional Experience

Assist. Prof. Dr. Pin-Chun Huang has a diverse academic and research background. Since February 2022, he has been serving as an Assistant Professor in the Department of Harbor and River Engineering at National Taiwan Ocean University (NTOU). He also has experience as a Visiting Scholar at several prestigious institutions, including the University of California, Irvine (2019) and Moscow State University (2017). Dr. Huang worked as an Assistant Research Fellow at NTOU’s Center of Excellence for Ocean Engineering from 2018 to 2022. Additionally, he held a postdoctoral position at NTOU from 2016 to 2018. 🌍🔬📚

Education

Assist. Prof. Dr. Pin-Chun Huang has an extensive academic foundation in Harbor and River Engineering from National Taiwan Ocean University (NTOU). He earned his Ph.D. in 2016, following a Master’s degree in 2013, both from NTOU’s Department of Harbor and River Engineering. Dr. Huang’s academic journey began at NTOU in 2007, where he completed his Bachelor’s degree in 2011. His solid educational background equips him with deep expertise in hydrology, hydraulics, and engineering research. 📘🎓🌊

Awards and Honors

Assist. Prof. Dr. Pin-Chun Huang has received numerous prestigious awards throughout his career. In 2022, he was honored with the Excellent Young Scholars Award by Taiwan’s National Science and Technology Council. Dr. Huang also received the Academic Research Advancement Award from National Taiwan Ocean University in 2021. His academic excellence has been recognized with an Honorary Membership in the Phi Tau Phi Scholastic Honor Society (2016), and the Best Paper Award at the Disaster Management Conference (2013). Additionally, he was awarded the Engineering, Science, and Technology Scholarship by China Engineering Consultants in 2011 and 2012. 🏅🎖️📜

Research Interests

 

Assist. Prof. Dr. Pin-Chun Huang’s research interests are focused on surface hydrology and channel hydraulics, aiming to better understand water flow and flood behavior in various environments. His expertise includes rainfall-runoff modeling, which helps predict stormwater runoff, and flood forecasting for urban and rural areas. He also specializes in coastal inundation simulation to evaluate flood risks in coastal regions, integrating storm surge and topographic characteristics. Additionally, Dr. Huang works on geomorphologic analysis, studying the impact of landscape features on hydrological processes. 🌊💧🌍🏞️🌧️

Publication Top Notes

  • “Distinctions of geomorphological properties caused by different flow-direction predictions from digital elevation models” – Cited by: 21, Year: 2016 🌍📊
  • “An efficient method for DEM-based overland flow routing” – Cited by: 21, Year: 2013 🚶‍♂️🌧️
  • “Evaluating the adequateness of kinematic-wave routing for flood forecasting in midstream channel reaches of Taiwan” – Cited by: 21, Year: 2012 🌊🔮
  • “Influence of topographic features and stream network structure on the spatial distribution of hydrological response” – Cited by: 16, Year: 2021 🏞️📈
  • “An effective alternative for predicting coastal floodplain inundation by considering rainfall, storm surge, and downstream topographic characteristics” – Cited by: 11, Year: 2022 🌧️🌊
  • “Improvement of two-dimensional flow-depth prediction based on neural network models by preprocessing hydrological and geomorphological data” – Cited by: 11, Year: 2021 🤖🌐
  • “Efficient DEM‐based overland flow routing using integrated recursive algorithms” – Cited by: 11, Year: 2017 🌍🔄
  • “A simple depression-filling method for raster and irregular elevation datasets” – Cited by: 11, Year: 2015 🏔️🧑‍💻
  • “Assessment of flood mitigation through riparian detention in response to a changing climate–a case study” – Cited by: 9, Year: 2018 🌎🌧️
  • “An alternative for predicting real-time water levels of urban drainage systems” – Cited by: 8, Year: 2023 🌆💧
  • “Analysis of hydrograph shape affected by flow-direction assumptions in rainfall-runoff models” – Cited by: 7, Year: 2020 🌧️🔍
  • “Channel hydrological response function considering inflow conditions and hydraulic characteristics” – Cited by: 5, Year: 2020 🌊⚙️
  • “Channel-flow response function considering the downstream tidal effect and hydraulic characteristics” – Cited by: 3, Year: 2021 🌊🔄
  • “Refinement of the channel response system by considering time‐varying parameters for flood prediction” – Cited by: 3, Year: 2020 🌧️📈
  • “Establishing a shallow-landslide prediction method by using machine-learning techniques based on the physics-based calculation of soil slope stability” – Cited by: 2, Year: 2023 🌍🔮
  • “A novel method of estimating dynamic partial contributing area for integrating subsurface flow layer into GIUH model” – Cited by: 2, Year: 2023 🌍🧠

KECHNIT Djamel | Water Resources | Best Researcher Award

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Mr. KECHNIT Djamel | Water Resources | Best Researcher Award

PhD Student at CRREBaC ( Congo basin water ressources researchcenter ), Algeria

KECHNIT Djamel is a dedicated researcher and PhD student specializing in water resources. His research, centered around the Congo River Basin, focuses on the use of remote sensing and in-situ measurements to optimize river navigation and manage water resources more effectively. With an educational background in hydraulics engineering and extensive professional experience, he has contributed to several key projects related to hydraulic networks, water supply systems, and irrigation. His academic contributions are significant, with two peer-reviewed journal articles and multiple conference presentations on innovative approaches in hydrology.

Publication profile

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ORCID

Educational Background

KECHNIT Djamel is currently pursuing a PhD in Water Resources at the University of Kinshasa, DRC, with an expected completion date in September 2024. His dissertation focuses on the “Application of Remote Sensing and In Situ Measurement for the Determination of an Optimal Scenario of Navigation in the Congo River Basin,” under the guidance of Professor Raphael Tshimanga and co-advisors from Algeria and the UK. Prior to his PhD, he earned a Master’s degree in Hydraulics from the National Higher School of Hydraulics (ENSH) in Algeria in 2018. He also holds a Bachelor’s degree in Hydraulics Engineering from the same institution, which laid the groundwork for his specialization in water resources. His strong academic background in hydraulics and water management has equipped him with the skills necessary for impactful research in the field.

Work Experience

Djamel has extensive professional experience as a hydraulic engineer, contributing to several key projects in Algeria. From October 2018 to August 2021, he worked with ZERARGA HOCINE ARCHITECTS, where he completed the rehabilitation of various road and utility networks, including the drinking water supply network for Bouchaoui Hospital and irrigation network projects in Oran. Earlier, from October 2017 to May 2021, he served at ARTELIA EAU & ENVIRONNEMENT, where he focused on hydraulic modeling for water supply systems. His professional roles have honed his practical skills and knowledge in hydraulics, enabling him to apply theoretical principles to real-world challenges. Djamel’s engineering background complements his academic research, allowing him to approach problems from both theoretical and practical perspectives in the field of water resources management.

Research Focus

KECHNIT Djamel’s research focuses on the application of remote sensing and in-situ measurements for the effective management of water resources, particularly in large and data-scarce river systems like the Congo River Basin. His dissertation explores optimal navigation scenarios by integrating remote sensing data with field measurements. Djamel is particularly interested in assessing uncertainties in remote sensing-based discharge models and utilizing entropy-based approaches for bathymetry and discharge estimation. His work aims to improve water management practices and contribute to sustainable development in the region. By addressing challenges related to data scarcity and environmental variability, Djamel seeks to enhance the scientific understanding of hydrological processes and develop practical solutions for water resource management. His interdisciplinary approach blends engineering, hydrology, and remote sensing, making his research highly relevant in addressing contemporary water-related challenges.

Conclusion

KECHNIT Djamel is a strong candidate for the Best Researcher Award due to his innovative research, robust academic record, and impactful professional experience in hydraulic engineering. His work on remote sensing applications for large river systems, particularly in the under-researched Congo Basin, has the potential to transform water management in data-scarce regions. While expanding his research scope and publication volume would further strengthen his candidacy, his existing contributions position him as a leading figure in his field.

Publication Top Notes

Assessing uncertainties of a remote sensing-based discharge reflectance model for applications to large rivers of the Congo Basin

Authors: D. Kechnit, R. M. Tshimanga, A. Ammari, M. A. Trigg

Citations: 1-13

Year: 2024

Bathymetry and discharge estimation in large and data-scarce rivers using an entropy-based approach

Authors: D. Kechnit, R. M. Tshimanga, A. Ammari, M. A. Trigg, A. B. Carr, F. Bahmanpouri, …

Citations: 1-15

Year: 2024

Contribution à la conception d’un SIG dynamique: cas de la ville de Kolea (w. Tipaza)

Authors: D. Kechnit

Citations: Not specified

Year: 2018

SIG et télégestion dans la gestion des réseaux d’eau potable cas de la ville d’Ain Taya (w. Alger)

Authors: D. Kechnit

Citations: Not specified

Year: 2017