Meysam Cheraghi | Arsenic in Environment | Best Researcher Award

Dr. Meysam Cheraghi | Arsenic in Environment | Best Researcher Award

Dr. Meysam Cheraghi, Soil and Water Research Institute, Iran

Dr. Meysam Cheraghi is a PhD scholar in Soil Chemistry, Fertility, and Plant Nutrition at the University of Tehran, with a research visit at the Technical University of Munich, Germany, in 2023. His work focuses on rhizosphere dynamics, nutrient uptake, and plant-soil interactions under environmental stresses. He has published multiple peer-reviewed articles on phosphorus bioavailability, arsenic geochemistry, and nitrate management, and co-authored a national-level technical report on nutrient responses to abiotic stress. From 2018 to 2024, he served as a Research Scientist at the Soil and Water Research Institute (SWRI), where he contributed to national agricultural research and laboratory quality management (ISO 17025). Skilled in experimental design, statistical analysis, and lab instrumentation, Dr. Cheraghi is proficient in tools like ArcGIS, MATLAB, and SPSS. Fluent in Persian and English, he is dedicated to advancing sustainable agriculture through innovative research on soil-plant-environment interactions to improve crop resilience under stress conditions.

Publication Profile

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Educational Background

Dr. Meysam Cheraghi has pursued a comprehensive academic journey in soil science, with a strong focus on plant-soil interactions and environmental stress management. He recently completed a prestigious research visit from May to October 2023 at the Professorship for Soil Biophysics and Environmental Systems, School of Life Sciences, Technical University of Munich (TUM), Germany. He is currently concluding his PhD (2019–2024) in Soil Chemistry, Fertility, and Plant Nutrition at the University of Tehran, where his thesis explores the effects of water deficit, silicon, and zinc on silicon fractionation and rhizosheath formation in wheat. He also earned his M.Sc. (2017–2019) in Soil Science from the same university, focusing on enhancing tomato root growth through biological and nutritional treatments. His academic foundation was laid with a BSc in Soil Science (2013–2017) from Shahid Chamran University of Ahvaz, Iran. His educational background reflects deep expertise in soil fertility, plant nutrition, and stress resilience in crops.

Research Interests

Dr. Meysam Cheraghi’s research is centered on improving plant water and nutrient management under environmental stress conditions, a critical challenge in modern agriculture. He is particularly interested in understanding the complex mechanisms that enhance plant resistance to stresses such as drought, salinity, and nutrient deficiency. His work emphasizes the chemical, physical, and biological interactions at the root-soil interface, focusing on how these dynamics regulate water and nutrient uptake. Dr. Cheraghi views the plant’s belowground system as a largely unexplored domain that plays a vital role in plant adaptation, and he seeks to unravel the hidden processes that occur in this “black box.” His current research delves into rhizosphere processes—specifically how plants respond to external stressors through morphological and physiological changes in this critical region. His ultimate goal is to apply this knowledge to develop sustainable strategies that enhance crop performance and resilience in challenging environmental conditions.

Professional Experience

Dr. Meysam Cheraghi served as a Research Scientist at the Soil and Water Research Institute (SWRI) in Karaj, Iran, where he gained extensive hands-on experience aligned with his academic and research interests. During this period, he actively contributed to various interdisciplinary projects across departments such as Soil Chemistry, Fertility and Plant Nutrition, and Soil Biology and Biotechnology. His responsibilities included identifying critical research gaps, developing proposals, executing field and lab-based experiments, analyzing soil and plant data, and preparing final research reports aimed at improving plant nutrition under environmental stresses. Additionally, Dr. Cheraghi played a vital role in implementing ISO 17025 standards within the Soil Chemistry and Physics Laboratory. His involvement in quality control, method validation, and continuous laboratory improvements ensured high accuracy in scientific output and sustained laboratory accreditation. His work reflects a deep commitment to advancing agricultural science through research excellence and technical precision.

Research Focus

Dr. Meysam Cheraghi’s research primarily focuses on soil-plant-environment interactions, particularly within the realm of soil fertility, plant nutrition, and environmental stress physiology. His work investigates how plants respond to abiotic stresses such as drought, salinity, and nutrient deficiency by examining processes in the rhizosphere, including rhizosheath formation and nutrient uptake mechanisms. A significant portion of his studies explores the role of silicon, phosphorus, and biochar in improving crop resilience and soil health. Dr. Cheraghi also delves into geochemical assessments of heavy metals like arsenic, cadmium, and nitrate contamination in soils and agricultural products. His multidisciplinary approach integrates soil chemistry, plant physiology, and environmental safety, emphasizing sustainable agriculture. With multiple high-impact publications and practical contributions through ISO-compliant lab standards and national-level technical reports, Dr. Cheraghi’s research contributes meaningfully to sustainable nutrient management, soil remediation, and crop adaptation strategies under environmental stress conditions.

Publication Top Notes

  • Geochemistry of arsenic in soils with a focus on calcareous soilsYear: 2025

  • Phosphorus bioavailability and silicon fractionation in wheat rhizosphereYear: 2025

  • Evaluation of nitrate determination techniques in fresh vegetablesYear: 2025

  • Application of silicon improves rhizosheath formation in wheat under droughtCited by: 14 | Year: 2024

  • Contrasting rhizosheath formation in two maize inbred linesCited by: 1 | Year: 2024

  • Methods of Soil Analysis; Sampling, Chemical and Physical MethodsCited by: 1 | Year: 2024

  • Nitrate status in Iranian agricultural products – a reviewCited by: 2 | Year: 2024

  • Functions of rhizosheath under drought stress: A reviewCited by: 27 | Year: 2023

  • Reviewing the role of biochar in paddy soilsCited by: 64 | Year: 2023

  • Silicon as a regulator nutrient for wheat under salinity and droughtCited by: 31 | Year: 2023

  • Soil health and crop response of biochar: updated analysisCited by: 57 | Year: 2023

  • Optimal management of tomato nutrition using various fertilizersCited by: 18 | Year: 2023

  • Specialized functions of nutritional elements under stress – review (Tech. report)Year: 2023

  • Effect of extractant type on potassium extraction from soilCited by: 3 | Year: 2022

  • Toxic elements in soils near copper smelter – spatial and risk analysisCited by: 28 | Year: 2022

 

Pin-Chun Huang | Environmental Science | Best Researcher Award

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

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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 🌍🧠