Shubin Liu | Environmental Studies | Best Researcher Award

Published on by Zoology Honour

Shubin Liu | Environmental Studies | Best Researcher Award

Assistant professor at Fuzhou University ,China

Dr. Shubin Liu is an Assistant Professor at Fuzhou University, known for his pioneering work in computational imaging and artificial intelligence 🧠📸. With a strong academic and research track, he has authored numerous high-impact publications in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics. Over the past three years, he has amassed a cumulative impact factor exceeding 55 as a first author 🏆. Dr. Liu also holds a prestigious position on the Young Editorial Board of the international journal iMeta (IF > 23.8) 📝. His patent on a real-time large-scale image synthesis algorithm reflects his dedication to translating advanced technologies into practical tools ⚙️. A forward-thinking scholar and innovator, Dr. Liu is advancing the fields of microscopy, deep learning, and environmental monitoring. His academic rigor and professional excellence position him as a deserving nominee for the Best Researcher Award 🥇.

Professional Profiles📖

🎓 Education 

Dr. Shubin Liu has pursued rigorous academic training, building a strong foundation in engineering and computational sciences 🎓. While the specifics of his degree titles and institutions are not fully detailed, his current academic stature as an Assistant Professor at Fuzhou University indicates a doctorate-level qualification (Ph.D.) and likely prior graduate studies focused on physics, optics, or computer science 💻🧬. His academic journey reflects specialization in computational imaging, AI modeling, and optics-based simulation—interdisciplinary areas requiring strong theoretical grounding and technical expertise 📘. Dr. Liu’s continuous research output, editorial board membership in iMeta, and publication in journals like Advanced Functional Materials and PhotoniX speak to a research-driven education shaped by analytical rigor and scientific creativity 📊. His academic path has uniquely equipped him to bridge theoretical computation with real-world imaging applications 🔍.

🏗 Experience 

Dr. Shubin Liu serves as an Assistant Professor at Fuzhou University, where he is actively involved in cutting-edge research and mentoring the next generation of scientists 🧑‍🏫. His professional experience is anchored in computational imaging, artificial intelligence, and deep learning for environmental and microscopic systems 🖥️🔬. Over the past 3 years, he has authored first-author papers in internationally reputed journals like Advanced Functional Materials, PhotoniX, and Nanophotonics 🌍. Dr. Liu also contributed to national scientific instrument projects and patented a real-time large-scale image synthesis algorithm ⚙️. His academic impact is underscored by a citation index of 103–5, showcasing the influence and reach of his work. Apart from research, he holds an editorial position at iMeta—a role that reflects both scholarly leadership and critical peer recognition 📝. His career so far embodies academic excellence, innovation, and a commitment to advancing imaging science.

🏆 Awards & Honors 

Dr. Shubin Liu has garnered significant recognition for his scholarly achievements 🏆. Most notably, he serves on the Young Editorial Board of iMeta—an international journal with an impact factor exceeding 23.8, a rare honor that underscores his early career excellence in high-impact research 🧠📘. His publications, many of which appear in top-tier journals such as Advanced Functional Materials, PhotoniX, and Nanophotonics, reflect his thought leadership and innovation in computational and optical imaging 📈. He has also been granted a national patent for a real-time, large-scale image synthesis algorithm designed for microscopic systems ⚙️. With a cumulative first-author impact factor of over 55, his work stands as a benchmark in the intersection of artificial intelligence and imaging technologies 📊. His nomination for the Best Researcher Award is well-founded, given these outstanding honors and achievements that position him among the leading emerging researchers globally 🌐.

🔬 Research Focus

Dr. Shubin Liu’s research is at the intersection of computational imaging, artificial intelligence, and deep learning, with practical applications in environmental monitoring and microscopy 🔬📡. He aims to develop next-generation imaging systems that blend high-resolution capture with intelligent data processing, optimizing real-time imaging performance through advanced algorithms 🧠💡. His patented algorithm for large-scale image synthesis exemplifies this approach by enabling real-time, high-precision data interpretation for microscopic systems ⚙️. Dr. Liu’s research spans multiple domains—from Nanophotonics to Advanced Functional Materials—where he investigates light-matter interaction, pattern recognition, and image reconstruction 📷🧬. His use of machine learning models improves visual data accuracy, supporting various fields such as healthcare, environmental sciences, and quantum imaging 🌱📊. With an emphasis on interdisciplinary integration, Dr. Liu’s work not only pushes scientific boundaries but also offers scalable, real-world solutions for advanced imaging and sensing systems 🌐.

🛠️ Skills

Dr. Shubin Liu brings a robust set of interdisciplinary skills that make him a leader in modern scientific research 🧠🔍. His core competencies include computational imaging, AI-based image reconstruction, and microscopy algorithm design 📷🤖. He is highly proficient in deep learning frameworks like TensorFlow and PyTorch, alongside programming languages such as Python, MATLAB, and C++ 💻. His work demands expertise in signal processing, image synthesis, and optical system simulation, all of which he employs in developing scalable imaging tools and patentable technologies 🛠️. Dr. Liu also demonstrates editorial acumen through his service on the iMeta board, indicating strong scientific writing, peer review, and research evaluation abilities 📚📝. Equally strong in theory and implementation, he excels in data interpretation, visualization, and machine vision technologies, making him highly adaptable in academia and industry. His versatile skill set enables pioneering innovations in AI-driven imaging systems 🔬.

📚 Publications – Top Notes

A Switchable‑Mode Full‑Color Imaging System with Wide Field of View for All Time Periods (Photonics, July 8, 2025; DOI: 10.3390/photonics12070689)

Authors: Shubin Liu, Linwei Guo, Kai Hu, Chunbo Zou ljnu.smart.vipslib.com+5ACS Publications+5ResearchGate+5OUCI+5MDPI+5ORCID+5

Year: 2025

Citations: None found (too recently published)

 

Large‑scale microscope with improved resolution using SRGAN (Optics & Laser Technology, Dec 2024; DOI: 10.1016/j.optlastec.2024.111291)

Authors: Bing‑Kun Xie, Shu‑Bin Liu, Lei Li PubMed+9OUCI+9Nanophotonics+9

Year: 2024

Citations: No citation count available yet (likely none or very few)

 

Polyelectrolyte mixture enables electrowetting liquid lens with large optical power tuning range (Applied Physics Letters, Aug 5, 2024; DOI: 10.1063/5.0226826)

Authors: Kirsch, Peers from Sichuan University & China Academy of Engineering Physics (exact names not listed) Nature

Year: 2024

Citations: Not specified (likely zero or few)

 

Compact biologically inspired camera with computational compound eye (Nanophotonics, Apr 23, 2024; DOI: 10.1515/nanoph-2023-0782)

Authors: Shu‑Bin Liu, Xu‑Ning Liu, Wei‑Jie Fan, Meng‑Xuan Zhang, Lei Li Astrophysics Data System+12PubMed+12PubMed+12

Year: 2024

Citations: No citation data found

 

Varifocal diffractive lens based on microfluidics (Optics and Lasers in Engineering, Mar 2024; DOI: 10.1016/j.optlaseng.2023.107955)

Authors: Weijie Fan, Xu‑Ning Liu, Yin Zhou, Junhao Zhang, Shu‑Bin Liu, Lei Li OUCI

Year: 2024

Citations: Not available

 

Multimodal integration for Barrett’s esophagus (iScience, Nov 14, 2023; DOI: 10.1016/j.isci.2023.108437)

Authors: Shubin Liu, Shiyu Peng, Mengxuan Zhang, Ziyuan Wang, Lei Li Cell+2PubMed+2x-mol.net+2

Year: 2023

Citations: Not specified

 

Reflective zoom lens based on liquid metal (Optics Communications, Oct 2023; DOI: 10.1016/j.optcom.2023.129995)

Authors: Xu‑Ning Liu, Jing‑Yi Fu, Shu‑Bin Liu, Zi‑Yi Zhang, Yang‑Yu Li, Na Xie, Yu‑Hai Li, Lei Li opg.optica.org+15OUCI+15ORCID+15

Year: 2023

Citations: 0 (according to Scilit) Scilit+1Scilit+1

 

Optofluidic zoom system with increased field of view and less chromatic aberration (Optics Express, Jul 17, 2023; DOI: 10.1364/oe.498096)

Authors: Lin Li, [others not listed] ResearchGate

Year: 2023

Citations: At least 5 (per ResearchGate)

Conclusion✅

Dr. Shubin Liu stands out as a dynamic and impactful researcher at the frontier of computational imaging and artificial intelligence 🔬🤖. With an impressive array of first-author publications in high-impact journals like Advanced Functional Materials, PhotoniX, and Nanophotonics, he has already made significant contributions to the advancement of imaging technologies 🌟. His editorial role with iMeta (IF > 23.8), combined with a national patent and a cumulative first-author impact factor exceeding 55, underscores both scholarly excellence and innovation 🧠📈. Dr. Liu’s research is deeply relevant to today’s scientific challenges—addressing needs in environmental monitoring, microscopic analysis, and real-time AI-driven imaging 📡🌱. With a rare blend of technical skill, academic rigor, and forward-looking vision, he exemplifies the qualities recognized by the Best Researcher Award. He is a valuable contributor to global scientific progress and a deserving candidate for this prestigious honor 🏆.

Liang Liu | Environmental Studies | Best Researcher Award

Published on by Zoology Honour

Dr. Liang Liu | Environmental Studies | Best Researcher Award

Henan Polytechnic University, China

Dr. Liang Liu is a passionate researcher and academic affiliated with Henan Polytechnic University, China. His scientific endeavors focus on urban spatial dynamics, particularly urban expansion, shrinkage, and their impact on the urban thermal environment. With a strong foundation in environmental science and geospatial modeling, Dr. Liu has made impactful contributions to understanding how cities grow or contract in response to natural and socioeconomic pressures. His research integrates advanced analytical techniques, including the RF-Pearson-CA-Markov model, to explore urban evolution in a climate-sensitive context. Backed by the National Natural Science Foundation of China, he is leading a key research project analyzing spatio-temporal trade-offs between urban development and ecosystem services. Dr. Liu’s publication in Sustainable Cities and Society has strengthened his academic credibility and global reach. He remains committed to producing forward-thinking, solution-based research for resilient urban futures and continues to expand his influence in the global research community.

Professional Profiles📖

ORCID 

🎓 Education 

Dr. Liang Liu holds a Ph.D. and has built a specialized academic track in urban studies and environmental sciences. His educational path has been rooted in exploring complex urban systems, equipping him with strong quantitative and analytical skills. During his doctoral journey, Dr. Liu developed a deep understanding of spatial modeling, urban geography, and climate interactions within urban environments. His academic research culminated in the development and application of the RF-Pearson-CA-Markov model, demonstrating his ability to innovate within existing theoretical frameworks. His focus on the Huaihe River Basin during graduate research has led to nationally funded projects, highlighting the academic rigor and societal relevance of his work. Although detailed educational milestones are not listed, his output and research direction reflect a well-grounded academic background, honed through structured doctoral studies, continuous learning, and active research dissemination in top-tier journals.

🏗 Experience 

Dr. Liang Liu is a researcher at Henan Polytechnic University, with research centered on urban growth dynamics and environmental transformations. Though early in his academic career, Dr. Liu has already demonstrated research leadership by securing funding from the National Natural Science Foundation of China. He is leading a major project analyzing trade-offs between urban development and ecosystem services in the Huaihe River Basin. His experience includes conducting multidimensional experiments that apply spatial-temporal modeling tools such as RF-Pearson-CA-Markov, effectively validating these across cities with differing climates and developmental scales. While he has not yet collaborated across institutions, his independent work reflects technical competence and innovation. He has one prominent publication in Sustainable Cities and Society and continues contributing to scholarly discourse through ongoing projects. With growing experience in urban environmental modeling and a sharp focus on sustainability, Dr. Liu is poised for broader contributions in global research communities.

🏆 Awards & Honors 

As of now, Dr. Liang Liu has not listed specific awards or honors beyond his current nomination for the Best Researcher Award. However, the significance of his current research funding by the National Natural Science Foundation of China stands as a prestigious professional milestone. This funding demonstrates peer-reviewed recognition of his work’s potential in addressing real-world environmental and urbanization challenges. Publishing in the reputed Sustainable Cities and Society journal further marks his academic credibility, with the article serving as a valuable resource in the field of sustainable urban development. His ongoing contributions place him in a strong position to receive future accolades related to climate research, urban sustainability, and modeling innovations. The Best Researcher Award could be a key recognition to support Dr. Liu’s growing impact in the academic and scientific world and open doors to more collaborations, editorial roles, and leadership within national and international research forums.

🔬 Research Focus

Dr. Liang Liu’s research focus lies at the intersection of urban expansion, shrinkage, and the urban thermal environment—key issues in today’s rapidly urbanizing world. He explores how cities evolve over time and the environmental consequences of these transitions, especially their effects on climate resilience and ecosystem health. His main project, funded by the NSFC, investigates spatial and temporal trade-offs between urban development and ecosystem services in the Huaihe River Basin, a critical ecological region in China. A cornerstone of his research is the RF-Pearson-CA-Markov model, which he developed to predict and analyze urban change under diverse climatic and spatial conditions. Dr. Liu’s work bridges data-driven modeling and urban environmental planning, offering policymakers tools to forecast and mitigate negative impacts. His research plays a crucial role in understanding how cities interact with natural systems, guiding the development of smarter, more sustainable urban planning frameworks across different geographic contexts.

🛠️ Skills

Dr. Liang Liu brings a blend of analytical, modeling, and spatial data interpretation skills to urban and environmental research. His expertise in geospatial modeling techniques, particularly the RF-Pearson-CA-Markov model, demonstrates his ability to integrate statistical reasoning with real-world applications. He is proficient in handling remote sensing data, GIS analysis, and environmental impact modeling—essential tools for studying urban transformation. His research reflects strong methodological design and an ability to interpret complex interactions between urban expansion and environmental systems. In addition, Dr. Liu is adept at conducting systematic, multidimensional experiments, encompassing variables such as urban evolution status, scale, and climate influence. He is also capable of communicating technical findings effectively through peer-reviewed publications. While collaborative and presentation skills are still developing, his technical and research proficiencies already position him as a valuable contributor to urban sustainability research. With further exposure to cross-disciplinary projects and international forums, these skills will likely expand significantly.

Publications Top Notes

  • Spatio‑temporal evolution and simulation prediction of heat island effect in shrinking cities in China based on improved CA‑Markov modeling
    • Sustainable Cities and Society – 2025 (July)
    • Source: Crossref

Conclusion✅

Hind Maaghloud | Environmental Studies | Women Researcher Award-duplicate-1

Published on by Zoology Honour

Dr. Hind Maaghloud | Environmental Studies | Women Researcher Award

Phd in Ecology and Environment at University Hassan II, Faculty of Sciences Ain Chock, Casablanca, Morocco 

Dr. Hind Maaghloud is a Moroccan environmental scientist specializing in Ecology and Environmental Biology. With a PhD from Hassan II University, Casablanca, she has made significant contributions to marine pollution research, particularly the presence of microplastics and heavy metals in marine ecosystems. Dr. Maaghloud has been an educator for over 15 years, teaching Life Sciences at both secondary and university levels. Passionate about sustainability, she also founded and led an environmental club for nearly a decade, actively promoting environmental awareness among youth. She has published in high-impact journals such as Environmental Pollution and Science of the Total Environment and regularly participates in international scientific conferences. As a reviewer for the journal Environmental Pollution, she continues to support scientific excellence. Her interdisciplinary approach blends fieldwork, laboratory analysis, and science communication, making her a valuable contributor to ecological science and environmental policy dialogue in Morocco and beyond.

Professional Profiles📖

Scopus 

ORCID 

🎓 Education 

Dr. Hind Maaghloud earned her PhD in Biological Sciences, specializing in Ecology and Environment, from Hassan II University in 2021. Her doctoral research focused on microplastic contamination in Moroccan marine species. She holds a DESA (Diplôme d’Études Supérieures Appliquées) in Biotechnology for Industry and Environment (2008), and a Professional License in Environmental Management and Protection (2006). She also obtained her Certification of Aptitude for Secondary School Teaching in Life Sciences and Earth Sciences (2008), reflecting her commitment to education. Earlier, she completed her DEUG in Biology and Geology (2004) and a Baccalaureate in Experimental Sciences (2001). Her academic journey illustrates a strong foundation in environmental science, biotechnology, and education. Dr. Maaghloud’s interdisciplinary academic profile, paired with field and lab-based training through multiple internships, has equipped her with both theoretical knowledge and practical skills in environmental monitoring, pollution control, and sustainable practices—forming a robust base for her research career.

🏗 Experience 

Dr. Hind Maaghloud has built a rich career as both a researcher and educator. Since 2008, she has been a first-grade certified secondary school teacher in Life and Earth Sciences. She has also served as an adjunct professor at Hassan II University and the Higher Institute of Technology Training, teaching modules in Ecology, Biochemistry, and Structural/Metabolic Biochemistry. Her early professional development includes internships in environmental labs and industries, such as the Pasteur Laboratory, Public Laboratory for Tests and Studies (LPEE), and Lesieur-Crystal’s Waste Treatment Division. These experiences laid the groundwork for her applied research in pollution and wastewater management. Beyond the classroom and lab, she founded an environmental club at Hassan II High School, leading awareness campaigns from 2009 to 2017. Her dynamic teaching, combined with ongoing research and community engagement, showcases her as a dedicated, well-rounded scientist committed to environmental education and advocacy.

🏆 Awards & Honors 

Although Dr. Hind Maaghloud has not been formally documented with prestigious awards yet, her career reflects recognition through important roles and scientific impact. She has earned the honor of being a reviewer for the renowned journal Environmental Pollution since 2020—an acknowledgment of her expertise and credibility in environmental science. Her selection for oral and poster presentations at multiple international conferences, including BIOTECH2020, ERVD’7, and regional climate impact symposiums, highlights professional peer recognition. As a founder and president of a long-standing environmental club, she has been a local leader in environmental education and outreach. Her consistent publication in peer-reviewed journals and collaborations with international scholars further elevate her profile. Future accolades are likely as her influence in the domains of marine ecology, microplastic research, and science education continues to grow, making her an emerging voice in environmental policy and sustainable development across North Africa.

🔬 Research Focus

Dr. Hind Maaghloud’s research is rooted in marine pollution, with a specialized focus on microplastics and heavy metals in fish species along the Moroccan Atlantic coast. Her doctoral and postdoctoral work has contributed to mapping pollutant distribution, studying ingestion patterns in commercial fish species, and understanding the ecological and public health implications of marine debris. She has also researched wastewater reuse in agriculture, evaluating its effects on soil properties, microbial activity, and crop safety. Her interdisciplinary work bridges ecology, biochemistry, and environmental engineering, reflecting a systems-thinking approach to pollution control. Dr. Maaghloud employs advanced analytical methods such as FTIR spectroscopy and statistical modeling (e.g., SPSS) to assess environmental quality. Her broader scientific vision includes developing solutions for sustainable water management, marine ecosystem protection, and waste valorization, aligning closely with UN Sustainable Development Goals, especially those related to life below water, clean water, and responsible consumption.

🛠️ Skills

Dr. Hind Maaghloud possesses a broad and practical skill set essential for environmental research and education. She is proficient in MS Office tools (Word, Excel, PowerPoint), which support her teaching and academic writing. She has strong skills in data analysis using SPSS, enabling her to interpret complex environmental datasets and draw scientifically valid conclusions. Her laboratory skills include FTIR spectroscopy for microplastic identification, chemical analysis, and biosorption techniques, particularly in wastewater and marine studies. Fluent in Arabic, and with working proficiency in French and English, she effectively communicates her research across diverse audiences and regions. Additionally, her leadership as a club founder and role as journal reviewer reflect her strengths in project coordination and scientific critique. She integrates fieldwork, laboratory science, education, and advocacy—making her not only a researcher but also a change-maker in environmental sustainability and science outreach.

Publications Top Notes

🔹 Ingestion of microplastics by pelagic fish from the Moroccan Central Atlantic coast – Published in Environmental Pollution (2020).
📌 DOI: 10.1016/j.envpol.2020.114194
📊 Citations: Not publicly listed, but known to be referenced in multiple microplastic studies.

 

🔹 Microplastic ingestion by Atlantic horse mackerel (Trachurus trachurus) in the North and central Moroccan Atlantic coast between Larache (35°30′N) and Boujdour (26°30′N) – Published in Environmental Pollution (2021).
📌 DOI: 10.1016/j.envpol.2021.117781
📊 Citations: 10 citations (as tracked by international academic indexes up to 2024).

 

🔹 Plastic litter colonization in a brackish water environment – Published in Science of The Total Environment (February 2024).
📌 DOI: 10.1016/j.scitotenv.2023.169177
📊 Citations: Not yet cited due to recent publication.

Conclusion✅

Hind Maaghloud | Environmental Studies | Women Researcher Award

Published on by Zoology Honour

Dr. Hind Maaghloud | Environmental Studies | Women Researcher Award

Phd in Ecology and Environment at University Hassan II, Faculty of Sciences Ain Chock, Casablanca, Morocco 

Dr. Hind Maaghloud is a Moroccan environmental scientist specializing in Ecology and Environmental Biology. With a PhD from Hassan II University, Casablanca, she has made significant contributions to marine pollution research, particularly the presence of microplastics and heavy metals in marine ecosystems. Dr. Maaghloud has been an educator for over 15 years, teaching Life Sciences at both secondary and university levels. Passionate about sustainability, she also founded and led an environmental club for nearly a decade, actively promoting environmental awareness among youth. She has published in high-impact journals such as Environmental Pollution and Science of the Total Environment and regularly participates in international scientific conferences. As a reviewer for the journal Environmental Pollution, she continues to support scientific excellence. Her interdisciplinary approach blends fieldwork, laboratory analysis, and science communication, making her a valuable contributor to ecological science and environmental policy dialogue in Morocco and beyond.

Professional Profiles📖

Scopus 

ORCID 

🎓 Education 

Dr. Hind Maaghloud earned her PhD in Biological Sciences, specializing in Ecology and Environment, from Hassan II University in 2021. Her doctoral research focused on microplastic contamination in Moroccan marine species. She holds a DESA (Diplôme d’Études Supérieures Appliquées) in Biotechnology for Industry and Environment (2008), and a Professional License in Environmental Management and Protection (2006). She also obtained her Certification of Aptitude for Secondary School Teaching in Life Sciences and Earth Sciences (2008), reflecting her commitment to education. Earlier, she completed her DEUG in Biology and Geology (2004) and a Baccalaureate in Experimental Sciences (2001). Her academic journey illustrates a strong foundation in environmental science, biotechnology, and education. Dr. Maaghloud’s interdisciplinary academic profile, paired with field and lab-based training through multiple internships, has equipped her with both theoretical knowledge and practical skills in environmental monitoring, pollution control, and sustainable practices—forming a robust base for her research career.

🏗 Experience 

Dr. Hind Maaghloud has built a rich career as both a researcher and educator. Since 2008, she has been a first-grade certified secondary school teacher in Life and Earth Sciences. She has also served as an adjunct professor at Hassan II University and the Higher Institute of Technology Training, teaching modules in Ecology, Biochemistry, and Structural/Metabolic Biochemistry. Her early professional development includes internships in environmental labs and industries, such as the Pasteur Laboratory, Public Laboratory for Tests and Studies (LPEE), and Lesieur-Crystal’s Waste Treatment Division. These experiences laid the groundwork for her applied research in pollution and wastewater management. Beyond the classroom and lab, she founded an environmental club at Hassan II High School, leading awareness campaigns from 2009 to 2017. Her dynamic teaching, combined with ongoing research and community engagement, showcases her as a dedicated, well-rounded scientist committed to environmental education and advocacy.

🏆 Awards & Honors 

Although Dr. Hind Maaghloud has not been formally documented with prestigious awards yet, her career reflects recognition through important roles and scientific impact. She has earned the honor of being a reviewer for the renowned journal Environmental Pollution since 2020—an acknowledgment of her expertise and credibility in environmental science. Her selection for oral and poster presentations at multiple international conferences, including BIOTECH2020, ERVD’7, and regional climate impact symposiums, highlights professional peer recognition. As a founder and president of a long-standing environmental club, she has been a local leader in environmental education and outreach. Her consistent publication in peer-reviewed journals and collaborations with international scholars further elevate her profile. Future accolades are likely as her influence in the domains of marine ecology, microplastic research, and science education continues to grow, making her an emerging voice in environmental policy and sustainable development across North Africa.

🔬 Research Focus

Dr. Hind Maaghloud’s research is rooted in marine pollution, with a specialized focus on microplastics and heavy metals in fish species along the Moroccan Atlantic coast. Her doctoral and postdoctoral work has contributed to mapping pollutant distribution, studying ingestion patterns in commercial fish species, and understanding the ecological and public health implications of marine debris. She has also researched wastewater reuse in agriculture, evaluating its effects on soil properties, microbial activity, and crop safety. Her interdisciplinary work bridges ecology, biochemistry, and environmental engineering, reflecting a systems-thinking approach to pollution control. Dr. Maaghloud employs advanced analytical methods such as FTIR spectroscopy and statistical modeling (e.g., SPSS) to assess environmental quality. Her broader scientific vision includes developing solutions for sustainable water management, marine ecosystem protection, and waste valorization, aligning closely with UN Sustainable Development Goals, especially those related to life below water, clean water, and responsible consumption.

🛠️ Skills

Dr. Hind Maaghloud possesses a broad and practical skill set essential for environmental research and education. She is proficient in MS Office tools (Word, Excel, PowerPoint), which support her teaching and academic writing. She has strong skills in data analysis using SPSS, enabling her to interpret complex environmental datasets and draw scientifically valid conclusions. Her laboratory skills include FTIR spectroscopy for microplastic identification, chemical analysis, and biosorption techniques, particularly in wastewater and marine studies. Fluent in Arabic, and with working proficiency in French and English, she effectively communicates her research across diverse audiences and regions. Additionally, her leadership as a club founder and role as journal reviewer reflect her strengths in project coordination and scientific critique. She integrates fieldwork, laboratory science, education, and advocacy—making her not only a researcher but also a change-maker in environmental sustainability and science outreach.

Publications Top Notes

🔹 Ingestion of microplastics by pelagic fish from the Moroccan Central Atlantic coast – Published in Environmental Pollution (2020).
📌 DOI: 10.1016/j.envpol.2020.114194
📊 Citations: Not publicly listed, but known to be referenced in multiple microplastic studies.

 

🔹 Microplastic ingestion by Atlantic horse mackerel (Trachurus trachurus) in the North and central Moroccan Atlantic coast between Larache (35°30′N) and Boujdour (26°30′N) – Published in Environmental Pollution (2021).
📌 DOI: 10.1016/j.envpol.2021.117781
📊 Citations: 10 citations (as tracked by international academic indexes up to 2024).

 

🔹 Plastic litter colonization in a brackish water environment – Published in Science of The Total Environment (February 2024).
📌 DOI: 10.1016/j.scitotenv.2023.169177
📊 Citations: Not yet cited due to recent publication.

Conclusion✅

Anubhava Srivastava | Ecosystem | Best Researcher Award

Published on by Zoology Honour

Dr. Anubhava Srivastava | Ecosystem | Best Researcher Award

Assistant Professor at Sharda University, India

Dr. Anubhava Srivastava is an accomplished academic and researcher in Computer Science, currently serving as Assistant Professor at Sharda University. With a Ph.D. from RGIPT, Jais, his research bridges artificial intelligence, machine learning, geoinformatics, and remote sensing. His innovative doctoral thesis focused on LU/LC mapping and classification using AI/ML on Google Earth Engine. Dr. Srivastava’s academic journey reflects a strong commitment to interdisciplinary applications of data science, from precision agriculture to environmental monitoring. He has published extensively in SCI/Scopus journals and international conferences, authored book chapters with Springer and Elsevier, and holds patents related to IoT applications. A GATE qualifier, he has also completed numerous professional certifications through Coursera. With an H-index of 9 (Google Scholar), his work is well-cited and widely recognized. Passionate about sustainability and digital innovation, Dr. Srivastava’s contributions make him a leading voice in AI-driven geospatial solutions for real-world problems.

Professional Profiles📖

Scopus 

ORCID 

Google Scholar

🎓 Education 

Dr. Srivastava holds a Ph.D. in Computer Science from Rajiv Gandhi Institute of Petroleum Technology (RGIPT), Jais, completed in 2023 with a CPI of 8.67. His doctoral thesis focused on LU/LC classification using AI/ML techniques and Google Earth Engine. He earned his M.Tech in Computer Science and Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow, in 2015,  Prior to that, he completed his B.Tech in Computer Science in 2012 with 71.84%. His early education includes a Higher Secondary Certificate (57.60%) and a Secondary Certificate (71.32%) from GIC Sultanpur. His academic training spans critical subjects such as database systems, machine learning, artificial intelligence, and remote sensing algorithms. Dr. Srivastava’s educational background is a blend of foundational computer science and advanced AI-geoinformatics, equipping him to tackle complex, data-driven challenges in environmental science, spatial computing, and smart systems.

🏗 Experience 

Dr. Srivastava has over 9 years of academic experience. He currently serves as an Assistant Professor at Sharda University, Greater Noida (since May 2023), in the Department of Computer Science. Prior to that, he was with Noida Institute of Engineering and Technology (2022–2023) and Rajarshi Rananjay Sinh Institute of Management & Technology, Amethi (2015–2022). His responsibilities have included mentoring postgraduate and undergraduate students, supervising research projects, and teaching cutting-edge courses in AI, machine learning, remote sensing, and databases. Dr. Srivastava has also guided students in developing projects using Google Earth Engine, satellite data, and real-time geospatial analytics. His teaching philosophy emphasizes practical application, data literacy, and sustainability. His contributions extend beyond academics through research collaborations, IEEE conference participation, and involvement in AI-based solutions for socio-economic development and smart agriculture. His interdisciplinary experience bridges academia, technology, and field-based environmental intelligence.

🏆 Awards & Honors 

Dr. Srivastava has made significant strides in both academia and applied research. His design patents—on RFID-based animal tracking and irrigation water supply management—highlight his innovation in IoT for environmental and agricultural applications. He has earned repeated recognition through his publications in high-impact SCI and Scopus journals such as Science of the Total Environment and Applied System Innovation. With an H-index of 9 on Google Scholar and 8 on Scopus, his scholarly work on AI, remote sensing, and GIS is widely cited. He has qualified the prestigious GATE exam thrice (2013, 2016, 2017). Dr. Srivastava’s work has been presented in multiple IEEE and Springer conferences, showcasing his leadership in AI-powered geospatial research. He also contributed chapters to international volumes with Elsevier, CRC Press, and Springer. His recognition as a thought leader in environmental computation, digital literacy, and rural innovation places him among promising young researchers in India.

🔬 Research Focus

Dr. Anubhava Srivastava’s research lies at the intersection of Artificial Intelligence, remote sensing, environmental monitoring, and geospatial data analytics. His Ph.D. work involved LU/LC classification and environmental change detection using AI/ML techniques over Google Earth Engine. He focuses on developing intelligent systems that analyze temporal and spatial patterns of land, forest, and urban landscapes. His recent publications address critical challenges such as forest degradation, fire detection, and digital literacy through geoinformatics. His research integrates NDVI, vegetation indices, satellite image classification, and climate change modeling using Sentinel-2 and Landsat datasets. Beyond environmental domains, his contributions also include cybersecurity in P2P networks, real-time earthquake monitoring, and structural health analysis using 3D point clouds. Through interdisciplinary collaboration, he aims to support SDGs by designing AI-based frameworks that enable informed policymaking, sustainable agriculture, and urban resilience. His long-term goal is to expand geospatial intelligence applications through ethical and scalable AI innovations.

🛠 Skills 

Dr. Srivastava brings a comprehensive skillset in artificial intelligence, machine learning, deep learning, and remote sensing. He is proficient in using Google Earth Engine, Python, MATLAB, and GIS tools for environmental data modeling and visualization. His technical expertise includes supervised and unsupervised classification algorithms, NDVI-based analysis, satellite data processing, API integration, and cloud-native development. He is also adept in computer networks, particularly P2P security protocols, demonstrated in his M.Tech thesis and conference papers. He has authored secure overlays like Heal Gossip and FCCC for environmental and communication systems. Dr. Srivastava’s coursework and certifications from Coursera further validate his mastery in web development, AI, GIS mapping, and cloud computing. His interpersonal and academic skills include research mentorship, technical writing, and effective presentation in reputed conferences. He actively collaborates across disciplines, enhancing his role as a researcher, mentor, and digital innovation advocate.

Publications Top Notes

Review of structural health monitoring techniques in pipeline and wind turbine industries

Authors: VB Sharma, K Singh, R Gupta, A Joshi, R Dubey, V Gupta, S Bharadwaj, A Srivastava

Citations: 44

Year: 2021

Mapping vegetation and measuring the performance of machine learning algorithm in LULC classification in the large area using Sentinel-2 and Landsat-8 datasets of Dehradun

Authors: A Srivastava, S Bharadwaj, R Dubey, VB Sharma, S Biswas

Citations: 35

Year: 2022

Exploring forest transformation by analyzing spatial-temporal attributes of vegetation using vegetation indices

Authors: A Srivastava, S Umrao, S Biswas

Citations: 18

Year: 2023

A probabilistic Gossip-based secure protocol for unstructured P2P networks

Authors: A Srivastava, P Ahmad

Citations: 18

Year: 2016

Determination of optimal location for setting up cell phone tower in city environment using LiDAR data

Authors: S Bharadwaj, R Dubey, MI Zafar, A Srivastava, VB Sharma, V Bhushan

Citations: 16

Year: 2020

Analyzing land cover changes over Landsat-7 data using Google Earth Engine

Authors: A Srivastava, S Biswas

Citations: 14

Year: 2023

GIS mapping of short-term noisy event of Diwali night in Lucknow city

Authors: R Dubey, S Bharadwaj, MI Zafar, V Mahajan, A Srivastava, S Biswas

Citations: 14

Year: 2022

Comparison of Sentinel and Landsat datasets over Lucknow region using gradient tree boost supervised classifier

Authors: A Srivastava, R Dubey, S Biswas

Citations: 13

Year: 2023

FCCC: Forest cover change calculator user interface for identifying fire incidents in forest region using satellite data

Authors: A Srivastava, S Umrao, S Biswas, R Dubey, MI Zafar

Citations: 11

Year: 2023

GIS based road traffic noise mapping and assessment of health hazards for a developing urban intersection

Authors: MI Zafar, R Dubey, S Bharadwaj, A Kumar, KK Paswan, A Srivastava

Citations: 9

Year: 2023

AI-driven environmental monitoring using Google Earth Engine

Authors: A Srivastava, H Sharma

Citations: 5

Year: 2024

A method for extracting deformation features from terrestrial laser scanner 3D point clouds data in RGIPT building

Authors: VB Sharma, R Dubey, A Bhatt, S Bharadwaj, A Srivastava, S Biswas

Citations: 4

Year: 2022

Conclusion✅

Saleh Mahmoudi | Biodiversity and Conservation | Best Researcher Award

Published on by Zoology Honour

Dr. Saleh Mahmoudi | Biodiversity and Conservation | Best Researcher Award

Researcher at Kurdistan Agricultural and Natural Resources Research and Education Center, AREEO. Iran

Saleh Mahmoudi was born on March 8, 1986, in Iraq. He currently resides in Kamyaran, Kurdistan Province, Iran, with his family. As a dedicated environmental scientist, he specializes in biodiversity, habitat modeling, and conservation ecology. He is affiliated with the Soil Conservation and Watershed Management Research Department at the Agricultural and Natural Resources Research and Education Center (AREEO) in Sanandaj, Iran. His work primarily focuses on the ecological and environmental challenges affecting riverine ecosystems and wildlife conservation. With a strong background in research and fieldwork, he has made significant contributions to environmental science, particularly in habitat modeling and conservation strategies for aquatic and terrestrial species. In addition to his academic and professional endeavors, he is actively involved in environmental NGOs and volunteer initiatives, striving to enhance public awareness of conservation issues. Mahmoudi is recognized for his commitment to sustainability and his leadership in environmental protection efforts.

Professional Profiles📖

Google Scholar 

Education 🎓

Saleh Mahmoudi earned his Ph.D. in Environmental Science (Biodiversity) from Shahid Beheshti University (2017-2023), where he focused on modeling the habitat requirements of riverine fish species. Under the supervision of Dr. Asghar Abdoli, his research contributed to a better understanding of aquatic ecosystems and conservation strategies for freshwater fish. He previously completed his M.Sc. in Environmental Science at Gorgan University of Agricultural Sciences and Natural Resources (2010-2012). His thesis, supervised by Dr. Hossein Varasteh Moradi, explored the application of genetic rescue in wildlife conservation, highlighting the importance of genetic diversity in preserving endangered species,For his B.Sc. in Environmental Science at Hakim Sabzevari University & University of Environment (2006-2010), Mahmoudi worked on a project titled “Certificate of Natural Appearance of Kermanshah Province” under the guidance of Dr. Abbas Pahlavani. This early research laid the foundation for his future work in environmental conservation and ecological studies.

Work Experience💼

Saleh Mahmoudi has extensive research experience in environmental science and biodiversity conservation. He served as a Research Assistant at Shahid Beheshti University (2021-2023), contributing to advanced ecological studies. In 2019, he investigated the water requirements of the Jajroud River in Tehran, providing valuable insights for sustainable water resource management. His work in wildlife conservation includes identifying suitable patches for Iranian squirrel conservation in Kermanshah (2015), aiding in habitat protection efforts. In 2012, he conducted a comprehensive analysis of Felidae distribution in Kermanshah Province, contributing to the understanding of wild cat populations and their ecological needs. Additionally, Mahmoudi’s early research focused on bird distribution in Sa’dabad Forest, Gorgan (2011), where he examined avian abundance patterns and habitat preferences. His collective research experience reflects a strong commitment to environmental sustainability, species conservation, and ecological modeling.

Awards and Honors 🏆

Saleh Mahmoudi has been widely recognized for his contributions to environmental science and conservation. He was honored with the Iran National Elites Foundation Award, a prestigious recognition for his outstanding research and impact in the field. In 2010, he was acknowledged at the first NGOs and Student Associations Success Festival for his leadership and dedication to environmental advocacy. As a founder and scientific member of the Salas Community of Environment Protectors (NGO), Mahmoudi has played a crucial role in raising awareness and implementing conservation initiatives. Since 2017, he has served as a juror for the Environmental Sciences Journal, evaluating scientific research and contributing to academic excellence. Beyond his research and academic contributions, Mahmoudi is deeply involved in environmental conservation projects, working on habitat protection, biodiversity preservation, and ecological sustainability, reinforcing his commitment to protecting nature and wildlife.

Skills💡

Saleh Mahmoudi possesses a diverse set of technical skills in environmental science, research, and data analysis. He is proficient in statistical and ecological analysis tools such as R, SPSS, Canoco, Distance, and Ecological Methodology, allowing him to conduct complex biodiversity and ecological modeling studies. His expertise in GIS and remote sensing includes ArcGIS, MaxEnt, and ImageJ, which he utilizes for habitat mapping and environmental assessments. Additionally, he is skilled in Microsoft Office (Word, Excel, PowerPoint) for documentation and reporting. Mahmoudi is a multilingual researcher, with Kurdish as his native language, fluency in Farsi, upper-intermediate proficiency in English, and basic knowledge of Arabic. He is known for his strong leadership and teamwork abilities, excelling in collaborative and research-driven environments. His high motivation, problem-solving mindset, and independent work ethic make him a dedicated scientist committed to environmental conservation and sustainability.

Research Focus 🔬

Saleh Mahmoudi’s research emphasizes biodiversity conservation, ecological modeling, and environmental management. His Ph.D. work involved habitat modeling for riverine fish species, with a focus on spatial and environmental factors affecting aquatic ecosystems. He has also contributed significantly to forest ecology, species distribution modeling, and human-wildlife interactions. His projects range from identifying critical habitats for endangered species to assessing ecological threats in protected areas. Additionally, he works on conservation strategies by integrating GIS, remote sensing, and ecological modeling for effective environmental decision-making. His work has practical implications for policy-making, environmental sustainability, and climate change adaptation strategies.

Conclusion✅

Saleh Mahmoudi is a highly accomplished researcher with a strong academic and practical background in environmental science and conservation. His dedication to biodiversity, habitat modeling, and community involvement makes him a strong candidate for the Best Researcher Award. While he already demonstrates significant contributions, further international collaborations, funding leadership, and policy involvement would further enhance his research impact.

Publications Top Notes📚

Effect of human-induced forest edges on the understory bird community in Hyrcanian forests in Iran: Implication for conservation and management

📖 Forest Ecology and Management, Vol. 382, pp. 120-128

👥 Authors: S. Mahmoudi, S.S. Ilanloo, A.K. Shahrestanaki, N. Valizadegan, M. Yousefi

📅 Year: 2016

🔢 Citations: 26

2️⃣ Suitable forest habitats for protection of Iranian squirrel (Sciurus anomalus Pallescens) in west Kermanshah province

📖 Journal of Animal Environment, Vol. 8(2), pp. 33-40

👥 Authors: S. Moradi, S. Mahmoudi, I.S. Sheykhi

📅 Year: 2016

🔢 Citations: 6

3️⃣ Economic-recreational valuation of Koohestan forest park of Kermanshah using Zonal Travel Cost Method (ZTCM)

📖 Human & Environment, Vol. 20(160002267), pp. 257-271

👥 Authors: S. Moradi, S. Mahmoudi

📅 Year: 2022

🔢 Citations: 1

4️⃣ Modelling habitat requirements of Alburnus atropatena in the Jajroud protected River

📖 Environmental Sciences, Vol. 21(2), pp. 81-94

👥 Authors: S. Mahmoudi, A. Abdoli

📅 Year: 2023

5️⃣ Longitudinal zonation of the river based on the presence of fish species (Case study: Jajroud River)

📖 Journal of Aquatic Ecology, Vol. 13(1), pp. 73-82

👥 Authors: S. Mahmoudi, A. Abdoli

📅 Year: 2023

6️⃣ Effect of human-induced forest edges on the bird community in Hyrcanian forests in Iran: Implication for conservation and management

📖 New Methods and Research Results on Landscapes in Europe and Central Asia

👥 Authors: S. Mahmoudi, S.S. Ilanloo, A.K. Shahrestanaki, N. Valizadegan, M. Yousefi

📅 Year: 2018

7️⃣ Conservation of bird communities in elevational gradients in Hyrcanian forest

📖 Zist Sepehr Student Magazine, Vol. 12(1), pp. 27-38

👥 Authors: S. Mahmoudi, A. Keyvanloo Shahrestanaki

📅 Year: 2017

8️⃣ DNA barcoding methods for determination of vertebrate diet, challenges, and constraints

📖 Zist Sepehr Student Magazine, Vol. 11(1), pp. 36-42

👥 Authors: S. Sheykhi Ilanloo, H. Rezaie, S. Mahmoudi

📅 Year: 2016

➡️ “A comparative analysis of univariate and multivariate spatial requirements modelling for habitat selection in freshwater fish: A case study of Oxynoemachilus bergianus in the Jajroud River, Iran, and implications for conservation and management”
➡️ Journal: Ecological Modelling
➡️ Publication Date: May 2025