Jialin Li | Environmental Science | Best Researcher Award

Mr. Jialin Li | Environmental Science | Best Researcher Award

Doctor | Fudan university | China

Mr. Jialin Li is an accomplished researcher and Doctor at Fudan University, specializing in the preparation, functionalization, and application of advanced carbon-based porous materials for hydrogen storage, energy storage, and carbon dioxide capture. His educational background includes a master’s and doctorate in chemical engineering and materials science, where his primary focus was on nano-pore interface micro-environment regulation, design of multi-level nano-pore structures, and surface chemical modification of functional porous carbon fibers, carbon nanofibers, carbon aerogels, and porous carbon materials. Professionally, Mr. Jialin Li has been involved in significant research projects such as the coupling regulation of ultra-fine pores and hydrogen-bond microenvironment of polyacrylonitrile porous carbon nanofibers and investigating hydrogen adsorption mechanisms under confined conditions. He has made valuable contributions to material design strategies for energy applications and has played a key role in translating research findings into practical solutions, including patented technologies for preparing biomass textile fabric electrodes and pre-oxidized fiber fabric electrodes for flow batteries. As a dedicated researcher, Mr. Jialin Li has authored 14 documents, 124 citations, 6 h-index, which highlights his consistent research output and influence in the scientific community. His research has been widely published in reputable international journals, including the Chemical Engineering Journal, Journal of Colloid and Interface Science, ACS Nano, and International Journal of Hydrogen Energy, all indexed in Scopus and SCI, reflecting his ability to contribute to high-quality peer-reviewed publications. Mr. Jialin Li’s research interests include developing new porous carbon materials with ultra-high specific surface areas, improving gas adsorption performance at ambient conditions, and creating novel strategies for hydrogen and carbon dioxide storage. His research skills span advanced material synthesis, nano-structuring, micro-environment modulation, adsorption mechanism analysis, and interface chemical engineering, combined with hands-on experience in experimental design and data interpretation. He is also actively engaged in collaborative research that bridges chemistry, materials science, and environmental engineering, reflecting his interdisciplinary approach. Beyond his technical expertise, Mr. Jialin Li has contributed to mentoring younger researchers, fostering collaboration within his team, and supporting sustainable energy initiatives. His honors include recognition for scientific excellence through peer-reviewed publications, contribution to multiple high-impact studies, and the development of patented solutions that support energy sustainability.

Profile:  Scopus

Featured Publications

Li, J., Wang, Y., Zhang, Y., Zhao, W., Bao, W., Duan, Y., Yu, J., Zhu, B., & Qiao, K. (2024). Dipole-induced hydrogen bonds enhanced P/O co-doped Lyocell-based porous carbon fiber cloth for hydrogen storage under ambient pressure. Chemical Engineering Journal, 490, 151633. Citations: 35

Li, J., Duan, Y., Wang, Y., Zhang, Y., Zhou, J., Zhao, W., Yu, J., Zhu, B., & Qiao, K. (2024). Microenvironment modulation of interpenetrating-type hierarchical porous foam carbon by mild-homogeneous activation for H₂ storage and CO₂ capture under ambient pressure. Journal of Colloid and Interface Science, 675, 783–791. Citations: 28

Yu, J., Li, J., Chen, F., Chi, C., Zhang, W., Bao, W., Zhao, X., Zhu, B., & Qiao, K. (2024). Micro-nano scale synchronous “carving” of viscose fiber in activation process for atmospheric hydrogen storage. International Journal of Hydrogen Energy, 63, 411–417. Citations: 19

Zhang, Y., Zhu, B., Zhao, S., Zhao, W., Zhou, M., Sun, Y., Qiao, K., Liu, J., Zhou, J., & Li, J. (2024). In situ synthesis of self-assembly supramolecular crystal seeds within continuous carbon nanofibers for improved fiber graphitic structure. ACS Nano, 18(17), 11360–11374. Citations: 22

Bao, W., Yu, J., Chen, F., Du, H., Zhang, W., Yan, S., Lin, T., Li, J., Zhao, X., & Zhu, B. (2023). Controllability construction and structural regulation of metal-organic frameworks for hydrogen storage at ambient condition: A review. International Journal of Hydrogen Energy, 48(92), 36010–36034. Citations: 20

 

 

Keigo Hisadome | Environmental Science | Best Researcher Award

Dr. Keigo Hisadome | Environmental Science | Best Researcher Award

Dr. Keigo Hisadome | Environmental Science | Section Manager | Asia Air Survey Co., Ltd | Japan 

Dr. Keigo Hisadome is a highly respected Section Manager at Asia Air Survey Co., Ltd., with extensive expertise in geological survey, groundwater monitoring, soil contamination assessment, and large-scale environmental remediation projects. He has played a key role in advancing the understanding and management of environmental radioactivity, particularly in areas impacted by nuclear incidents. His professional journey is marked by a commitment to integrating scientific research with practical field operations, resulting in measurable improvements in environmental health and safety. Dr. Keigo Hisadome is recognized for his ability to translate complex data into actionable strategies that protect communities and ecosystems.

Professional Profile 

Education

Dr. Keigo Hisadome holds a doctoral degree in Environmental Science with a focus on environmental radioactivity and contamination remediation. His academic journey provided a robust foundation in geology, hydrology, and soil science, enabling him to approach environmental challenges with a multidisciplinary perspective. During his doctoral studies, he concentrated on innovative methodologies for monitoring and mitigating radioactive material transfer, contributing to the development of improved remediation techniques. His education has empowered him to take leadership roles in projects that require technical precision, scientific rigor, and strategic planning.

Experience

Dr. Keigo Hisadome has accumulated significant experience in managing field surveys, contamination assessments, and decontamination operations. As Section Manager, he oversees critical projects related to the remediation of radioactive contamination and the restoration of affected environments. His experience includes designing and implementing survey frameworks, coordinating multidisciplinary teams, and ensuring compliance with international safety standards. He has collaborated with government agencies, research institutes, and local stakeholders to develop solutions for long-term environmental recovery. His ability to combine technical expertise with management skills has positioned him as a trusted leader in environmental remediation initiatives.

Research Interest

Dr. Keigo Hisadome’s research interests revolve around environmental radioactivity, soil contamination dynamics, and groundwater monitoring systems. He is particularly interested in the transfer mechanisms of radioactive materials through forest ecosystems, with an emphasis on leaf litter decomposition and radionuclide migration. His work supports the creation of predictive models that inform decontamination strategies and land use planning. He also explores sustainable remediation techniques that balance ecological restoration with public safety. Dr. Hisadome’s research contributes to scientific understanding as well as to policy frameworks that address post-disaster recovery and long-term radiation risk management.

Award

Dr. Keigo Hisadome is being nominated for the Best Researcher Award in recognition of his exceptional contributions to environmental radioactivity research and his leadership in contamination remediation projects. His work has had a direct impact on the rehabilitation of areas affected by radioactive pollution, making a significant difference in community safety and environmental sustainability. This award would acknowledge his dedication to advancing science, his role in translating research into practical applications, and his commitment to mentoring future professionals in the field.

Selected Publication

“Assessment of Radioactive Material Transfer through Forest Leaf Litter” published in 2021 with 15 citations.

“Groundwater Monitoring Framework for Contaminated Sites” published in 2020 with 12 citations.

“Long-Term Behavior of Soil Contamination in Post-Disaster Areas” published in 2019 with 18 citations.

“Innovative Techniques for Large-Scale Decontamination Projects” published in 2021 with 10 citations.

Conclusion

Dr. Keigo Hisadome is a distinguished researcher whose expertise in environmental radioactivity has made a measurable difference in both scientific knowledge and public health outcomes. His dedication to research, field implementation, and knowledge dissemination has positioned him as a leader in the field of contamination remediation. With his extensive publication record, collaborative approach, and commitment to mentoring, he continues to advance scientific understanding and practical solutions for environmental challenges. This nomination highlights his substantial contributions to research and his potential to drive future innovations in environmental safety and sustainability.

saeid shabani | Environmental Science | Best Researcher Award

saeid shabani | Environmental Science | Best Researcher Award

Assist. Prof. Dr saeid shabani, AREEO, Iran

Assist. Prof. Dr. Saeid Shabani is a distinguished forestry researcher specializing in forest monitoring, natural hazards, and sustainable ecosystem development 🌳🌍. He holds a Ph.D. in Forestry from Tarbiat Modares University, Iran (2015), where he developed models for predicting soil and forest stand disturbances caused by logging 🏗️🌲. His research integrates GIS, machine learning, and statistical modeling to assess forest fragmentation, carbon stock monitoring, and climate change impacts 📊🛰️. Dr. Shabani has led numerous projects on afforestation, ecosystem assessments, and genetic variations in tree species 🌱🔬. His publications in high-impact journals, along with his role as a reviewer for esteemed scientific outlets, solidify his reputation as a leading expert in forestry research 📖🌿. With expertise in ArcGIS, R, and SPSS, he bridges the gap between technology and environmental conservation 💻🍃. His dedication to sustainable forest management makes him an outstanding candidate for the Best Researcher Award 🏅👏.

Publication Profile

Google Scholar

Education

Dr. Saeid Shabani earned his Bachelor of Science in Forestry from the University of Guilan, Iran (2005) 🌲, where he developed a strong foundation in forest management and conservation. He pursued his Master of Science in Forestry at Tarbiat Modares University (2009) 📊, focusing on the relationship between forest gaps, physiographic factors, and vegetation in Lalis Forest, Nowshahr 🌳🗺️. He further advanced his expertise with a Ph.D. in Forestry from the same institution (2015) 🏗️, specializing in modeling soil and forest stand disturbance caused by logging operations 🏞️🔍. Dr. Shabani’s academic journey emphasizes sustainable forest ecosystem development, leveraging GIS, machine learning, and data-driven modeling 📈🌍. His interdisciplinary research bridges ecological conservation and technological advancements to enhance forestry management strategies 💡🌱.

Experience

Dr. Saeid Shabani has extensive experience in forestry research, specializing in forest monitoring, sustainable development, and climate impact assessments 🌍🌿. He has led and collaborated on multiple projects across the Hyrcanian and Arasbaran forests, focusing on afforestation, forest road monitoring, and carbon stock assessment 🏞️📊. His expertise in GIS, R, and machine learning has enabled him to develop predictive models for forest stand disturbances and susceptibility to environmental threats like snowstorms and windthrow 🌪️🛰️. As a scientific reviewer, he contributes to journals such as Scientific Reports, Turkish Journal of Forestry, and Ecology of Iranian Forests 📖📝. He has also been involved in standardizing forestry job competencies and ecosystem differentiation. His impactful work in forest conservation and ecosystem modeling positions him as a leading researcher in environmental sustainability and forestry science

Awards & Honors

Dr. Saeid Shabani has received multiple recognitions for his groundbreaking contributions to forestry research 🌿🏆. His work on forest sustainability, ecosystem monitoring, and climate resilience has earned him prestigious awards and funding. He was a recipient of the Chinese Government Scholarship 🎓🇨🇳 and has won Best Paper Awards for high-impact forestry research in journals like the European Journal of Forest Research 📜🏅. His expertise as a reviewer has been acknowledged with Reviewer Recognition Awards from Scientific Reports, South African Geographical Journal, and Journal of Forest Research & Development 🔍📖. He has secured project grants from environmental organizations for studies on afforestation, soil health, and carbon stock modeling 🌲💰. His Excellence in Forestry Research Award highlights his innovative use of GIS and machine learning in forest monitoring 🏗️🛰️. Through his dedication to sustainable forestry and advanced modeling techniques, he has cemented his reputation as an award-winning researcher in environmental science.

Research Focus

Dr. Saeid Shabani is a distinguished researcher specializing in forest monitoring, ecosystem sustainability, and climate impact assessment 🌲🌎. His expertise lies in applying GIS, machine learning, and statistical modeling to predict forest disturbances caused by natural hazards and human activities 🛰️📊. His research focuses on forest fragmentation and logging impact modeling 🏗️🌳, assessing the effects of snowstorms, windthrow, and climate change on forest ecosystems ❄️🌪️, and evaluating carbon stock in Hyrcanian and Arasbaran forests 🌱📈. Additionally, he contributes to afforestation efforts and sustainable forest management strategies 🌿♻️ while analyzing soil health and biodiversity conservation in forest stands 🔬🍂. Through cutting-edge methodologies, he develops innovative solutions to preserve global forest ecosystems and mitigate environmental risks 🌍💡. His work plays a vital role in policy-making and sustainable forestry development, ensuring the long-term health of natural resources.

Publication Top Notes

  • 📜 Spatial Prediction of Soil Disturbance Caused by Forest Logging Using Generalized Additive Models and GISEuropean Journal of Forest Research 🏗️🌲

  • 🌍 Forest Stand Susceptibility Mapping During Harvesting Using Logistic Regression and Boosted Regression Tree ModelsGlobal Ecology and Conservation 📊🛰️

  • 📏 Spatial Modeling of Forest Stand Susceptibility to Logging OperationsEnvironmental Impact Assessment Review 🏞️📉

  • ❄️ Modeling the Susceptibility of Uneven‑Aged Broad‑Leaved Forests to Snowstorm DamageEnvironmental Science and Pollution Research 🌨️🌲

  • 🌡️ How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo?Sustainability 🏡🌞

  • 🌱 Soil Health Reduction Following Conversion of Primary Vegetation Covers in Semi-Arid EnvironmentsScience of the Total Environment 🏜️🌾

  • 🗺️ Modeling and Mapping of Soil Damage Caused by Harvesting in Caspian Forests Using CART and RF TechniquesJournal of Forest Science 📈📊

  • 🌪️ Prediction of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression & Random ForestCerne Journal 🌳💨