Arash Javanshir khoei | Environmental Science | Cross-disciplinary Excellence Award

Arash Javanshir khoei | Environmental Science | Cross-disciplinary Excellence Award

Assoc. Prof. Dr Arash Javanshir khoei, University of Tehran, Iran

Assoc. Prof. Dr. Arash Javanshir Khoei is a distinguished marine biologist and ecologist ๐ŸŒŠ๐Ÿš with a Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6 (1999) ๐Ÿ‡ซ๐Ÿ‡ท. His research focuses on parasitology, heavy metal toxicity, aquatic ecology, and environmental sustainability ๐ŸŒฑ๐Ÿ”ฌ. With over three decades of academic and research experience, he has significantly contributed to understanding aquatic ecosystems, pollution effects, and species population dynamics. As a faculty member at the University of Tehran since 2005, he has mentored numerous students and led groundbreaking projects on water purification, microplastics, and sustainable aquaculture ๐Ÿž๏ธ๐ŸŸ. His numerous inventions, including water filtration systems and fish food manure, have earned him multiple national awards ๐Ÿ…. Dr. Khoei has authored impactful publications in high-ranking journals, advancing knowledge in marine science and environmental protection ๐Ÿ“š๐Ÿ”. His expertise and contributions make him a top candidate for the Best Researcher Award.

Publication Profile

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Educationย 

Dr. Arash Javanshir Khoei has an extensive academic background in marine sciences and environmental research ๐ŸŒ. He earned his Ph.D. in Biological Oceanography from the University of Pierre and Marie Curie, Paris 6, France (1999) ๐Ÿ‡ซ๐Ÿ‡ท, where he studied the effects of Digenetic Trematodes on bivalve mollusks in Arcachon Bay ๐Ÿฆ ๐Ÿš. His M.Sc. in Biological Oceanography (1995) from the same university focused on marine ecosystem dynamics. He completed his B.Sc. in Fisheries and Environment at the University of Tehran (1986) ๐Ÿ‡ฎ๐Ÿ‡ท, laying the foundation for his career in aquatic ecology. His academic journey has been marked by pioneering research in parasitology, water pollution, and marine biodiversity. His expertise spans limnology, fish behavior, and aquatic plant ecosystems, making significant contributions to environmental sustainability ๐ŸŒฟ๐Ÿ’ง. Through interdisciplinary research, Dr. Khoei continues to push the boundaries of marine biology, enhancing the scientific communityโ€™s understanding of aquatic environments.

Experience

Dr. Arash Javanshir Khoei has over 30 years of experience in academia and research ๐ŸŒ๐Ÿ”ฌ. He is currently an Associate Professor at the University of Tehran (2012โ€“present) ๐Ÿ‡ฎ๐Ÿ‡ท, where he teaches courses in oceanography, marine ecology, and environmental science ๐Ÿ“–. He previously served as an Assistant Professor at the same university (2005โ€“2012), shaping the next generation of marine scientists ๐ŸŽ“. From 2001 to 2005, he led the Ecology Department at the Ecological Academy of the Caspian Sea, spearheading key environmental research projects ๐ŸŒฑ๐ŸŒŠ. His early career included roles as a researcher at the Marine Research Centre of the Caspian Sea (1989โ€“1992), investigating marine biodiversity and water quality. With numerous national and international projects, Dr. Khoei has significantly contributed to marine conservation, aquaculture, and pollution control efforts ๐Ÿž๏ธ๐Ÿ . His diverse expertise has led to groundbreaking discoveries in environmental sustainability, heavy metal toxicity, and microplastic pollution ๐Ÿ†.

Awards & Honors

Dr. Arash Javanshir Khoei has received multiple prestigious awards for his outstanding contributions to marine science and environmental sustainability ๐ŸŒ๐Ÿ†. In 2015, he was recognized as a Superior Technology Creator by the Alborz Governorate and a Superior Researcher at the University of Tehran ๐Ÿ…. His innovative ideas earned him the Superior Idea Award from the Semnan Governorate in 2018. He holds multiple patents, including Fish Food Manure (2013), Bit Trap Filter (2016), and a System for Absorbing Cyclic Compounds in Water (2018) ๐Ÿ”ฌ๐Ÿ’ง. His research on sustainable water treatment, microplastic pollution, and aquaculture has attracted significant funding, including grants from Iranโ€™s National Science Foundation ๐Ÿ‡ฎ๐Ÿ‡ท. With numerous scientific contributions and technology-driven solutions, Dr. Khoei has become a leading figure in environmental conservation and aquatic research. His relentless dedication to marine ecology makes him a top contender for prestigious research awards ๐ŸŒŠ๐Ÿš.

Research Focus

Dr. Arash Javanshir Khoei’s research spans marine biology, aquatic ecology, and environmental toxicology ๐ŸŒŠ๐Ÿ”ฌ. His early work focused on the effects of Digenetic Trematodes on Bivalve Mollusks, revealing parasite-induced changes in cockle population dynamics ๐Ÿฆ ๐Ÿš. He has extensively studied heavy metal toxicity in aquatic species, evaluating bioaccumulation and immunotoxic effects of pollutants like lead, mercury, and iron oxide nanoparticles ๐ŸŒฑโš—๏ธ. His research also addresses microplastic pollution in the Caspian Sea, emphasizing its impact on marine life ๐ŸŒ๐Ÿ›‘. He pioneered studies on water purification, developing innovative techniques for removing heavy metals, arsenic, and pesticides from aquatic environments ๐Ÿ’งโ™ป๏ธ. Dr. Khoei’s interdisciplinary research extends to sustainable aquaculture, marine ecosystem dynamics, and environmental biotechnology ๐ŸŸ๐ŸŒพ. His work contributes to global efforts in pollution control, biodiversity conservation, and climate change mitigation, making him a leading expert in marine environmental science ๐ŸŒฟ๐ŸŒŠ.

Publication Top Notes

  • Investigating the effects of several parameters on the growth of Chlorella vulgaris using Taguchi’s experimental approach
  • Laboratory studies on egg and fecal pellet production of Centropages typicus: effect of age, effect of temperature, individual variability
  • Evaluation of potential immunotoxic effects of iron oxide nanoparticles (IONPs) on common carp (Cyprinus carpio)
  • Application of physical and biological methods to remove heavy metals, arsenic, and pesticides from water
  • Efficiency of chitosan for the removal of Pb (II), Fe (II), and Cu (II) ions from aqueous solutions
  • Assessment of heavy metals and their relationship with oxidative stress and immune parameters in aquatic species
  • Removal of Hg (II) and Cd (II) ions from aqueous solution using chitosan: kinetics and equilibrium studies
  • An investigation on the accumulation of heavy metals in Avicennia marina from the Persian Gulf
  • Evaluation of bivalve clearance rate (CR) as an indicator of heavy metal toxicity in Anodonta cygnea
  • Toxicity of titanium nano-oxide nanoparticles (TiO2) on the Pacific oyster, Crassostrea gigas

Yansong Li | Environmental Science | Environmental Impact Award

Yansong Li | Environmental Science | Environmental Impact Award

Dr Yansong Li, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China

Dr. Yansong Li Yaning Chen is an eminent figure in the fields of water science and climate change, particularly in arid zones. As the Director of multiple key research units at the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, he oversees significant research initiatives focused on desert and oasis ecology. His extensive leadership across these prestigious institutes highlights his crucial role in shaping environmental research in China.

Publication Profile

Orcid

Educationย 

Yansong Li pursued his education at the University of Chinese Academy of Sciences in Beijing, China ๐Ÿ‡จ๐Ÿ‡ณ. This prestigious institution is known for its strong focus on research and innovation across various scientific disciplines. His academic journey here has provided him with a deep understanding of cutting-edge research methodologies and advanced technologies. The education he received at this renowned university has equipped him with the skills to contribute significantly to his field. His time in Beijing reflects his dedication to academic excellence and his passion for exploring new frontiers in science and technology. ๐ŸŽ“๐Ÿ”ฌ๐ŸŒŸ

Expertise and Leadership

Dr. Yansong Li is a prominent figure in the field of environmental research. He currently serves as the Director of the State Key Laboratory of Desert and Oasis Ecology at the Xinjiang Institute of Ecology and Geography (Chinese Academy of Sciences). He also leads the Key Laboratory of Oasis Ecology and Desert Environment and the Oasis Ecology and Oasis Agriculture Research Unit. His leadership in these critical areas underscores his dedication to understanding and mitigating the environmental challenges facing arid zones.

Scientific Contributions and Expertise

With over 300 published works, Dr. Yansong has made substantial contributions to understanding water resources and climate dynamics in arid environments. His research on water management in desert and oasis systems is particularly relevant to sustainability and environmental protection, making him a highly respected figure in his field. His expertise directly aligns with the key themes of environmental impact research, particularly in water conservation and climate resilience.

Global Recognition and Influence

Dr. Yansong is among the top 2% of scientists globally, underscoring his research’s global impact. His high citation count and continuous recognition as a highly cited scholar reflect his influence on environmental and ecological sciences. This global standing demonstrates his authority and thought leadership in addressing environmental challenges in arid ecosystems.

Research Focus

Yansong Li’s research focuses on climate change, hydrology, and environmental sustainability ๐ŸŒ๐Ÿ’ง. His work, particularly in the Tarim River Basin, examines the characteristics of dry and wet conditions using the Standardized Precipitation Evapotranspiration Index (SPEI) ๐Ÿ“Š. This area of study is crucial for understanding the impacts of climate change on water resources and regional ecosystems, especially in arid and semi-arid regions. By analyzing past and future trends, Li contributes to predicting climate variability and helping devise strategies for water management and environmental protection ๐ŸŒฟโ›…, aligning with global sustainability goals.

Publication Top Notes

Characteristics of Dry and Wet Changes and Future Trends in the Tarim River Basin Based on the Standardized Precipitation Evapotranspiration Index

Conclusion

Given his leadership, extensive research contributions, and global recognition in environmental science, Dr. Yansong Li Yaning Chen stands out as a highly suitable candidate for the Research for Environmental Impact Award. His work in water management and climate change mitigation in arid zones addresses key environmental challenges, making him a deserving nominee for this prestigious award.

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Dr Masoud Mahdianpari, Memorial University of Newfoundland/C-CORE, Canada

Based on the provided information, Dr. Masoud Mahdianpari is indeed a strong candidate for the Research for Research Hypothesis Excellence Award. His extensive educational background, professional experience, and contributions to the field of remote sensing and data science highlight his qualifications.

Publication profile

google scholar

Educational Background

Dr. Masoud Mahdianpari holds a Ph.D. in Electrical Engineering from Memorial University of Newfoundland (2015-2019), along with a Masterโ€™s in Remote Sensing Engineering and a Bachelorโ€™s in Geomatics Engineering, both from the University of Tehran (2010-2013, 2006-2010). His robust academic foundation has equipped him with advanced knowledge in remote sensing and data analysis.

Professional Experience

Currently serving as a Cross-appointed Professor at Memorial University of Newfoundland and Remote Sensing Technical Lead at C-CORE, Ottawa, Dr. Mahdianpari has significant experience in applying machine learning and remote sensing technologies. His previous roles include Remote Sensing Scientist and Research Assistant at C-CORE, where he has developed expertise in image processing, feature extraction, and target detection.

Research Expertise

Dr. Mahdianpari specializes in machine learning, big data technologies, and radar remote sensing. His work encompasses high-resolution image processing, environmental monitoring, and GHG emission estimation. He is leading several projects focused on wetland mapping and methane emission estimation in the Arctic, leveraging advanced remote sensing data and cloud computing platforms.

Professional Appointments

As an associate editor for various journals, including IEEE Geoscience and Remote Sensing Letters and Frontiers in Environmental Science, Dr. Mahdianpari contributes to the academic community and promotes high-quality research. He is a member of several professional societies, such as IEEE and ASPRS, demonstrating his active engagement in the field.

Recent Honors and Awards

Dr. Mahdianpari has been recognized for his contributions to science, including being ranked in the top 1% of scientists worldwide (2023-2024) and receiving multiple awards for his research excellence. Notably, he has secured grants such as the NSERC Discovery Grant (2022-2027) and the Microsoft AI for Earth grant, highlighting his innovative work in environmental monitoring.

Project Leadership

Dr. Mahdianpari is currently leading the ESA Carbon Science Cluster project, aiming to enhance methane emission estimates from wetlands in the Arctic. This project underscores his leadership in addressing critical environmental challenges and advancing remote sensing methodologies.

Research Interests

His research focuses on environmental monitoring and wetland mapping using remote sensing data, emphasizing machine learning and multi-sensor image classification. Currently, he leads projects related to greenhouse gas (GHG) monitoring, showcasing his commitment to addressing pressing environmental issues.

Project Experience

He currently leads a project for the European Space Agency focused on improving methane emission estimates from wetlands, an initiative of significant environmental importance. This role emphasizes his leadership in research that impacts global environmental policies.

Publications and Presentations

Dr. Mahdianpari has authored numerous influential publications, including studies on remote sensing image classification and advanced machine learning applications in environmental monitoring. His research has contributed significantly to the field, evidenced by his citations and presentations at major international conferences.

Conference Contributions

He has presented at several prestigious conferences, showcasing his research on water quality monitoring and electrical potential preservation. His publications in leading journals further establish his reputation as a thought leader in remote sensing and environmental science.

Conclusion

In summary, Dr. Masoud Mahdianpari’s outstanding qualifications, research contributions, and recognition in the field make him a highly suitable candidate for the Research for Research Hypothesis Excellence Award. His dedication to advancing remote sensing technology and addressing pressing environmental issues through innovative research exemplifies excellence in academic and applied research.

Publication top notes

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing platform

Deep convolutional neural network for complex wetland classification using optical remote sensing imagery

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada

A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: a comparative evaluation