Junqiang Wang | Grassland Ecology | Excellence in Innovation Award

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Mr. Junqiang Wang | Grassland Ecology | Excellence in Innovation Award

Professor | China West Normal University | China

Professor Wang Junqiang, Ph.D., is a leading expert in Soil Ecology and Grassland Ecology, currently serving as a professor and master’s supervisor at China West Normal University and a part-time graduate supervisor at Xichang University. He obtained his Ph.D. in Ecology from the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences. Dr. Wang has led multiple high-impact research projects funded by the National Natural Science Foundation of China, provincial science foundations, and regional R&D programs, addressing critical issues such as soil carbon stability, freeze-thaw processes, tillage systems, and grassland ecological restoration. With a growing academic influence reflected in 17 published documents, 58 citations, and an h-index of 4, he has contributed significantly to advancing sustainable land use and ecosystem resilience, with publications in internationally recognized journals including Plant and Soil, CATENA, and Field Crops Research. He is a recognized high-level flexible talent in the Tibet Autonomous Region, a recipient of the “Jialing River Talent Project,” and is supported by the Central Government’s “Three Regions” Talent Support Program. Dr. Wang also serves as a reviewer for the CSCIED Scientific Core Evaluation Database, further affirming his peer recognition and professional standing. His research leadership, commitment to interdisciplinary collaboration, and dedication to mentoring the next generation of scientists exemplify excellence in ecological research and academic service.

Profile : Scopus

Featured Publications

1. Tillage effect on soil N uptake and utilization by the changes of chiA and aprA gene under parallel nitrogen application. (2026). European Journal of Agronomy.

2. Shi, H., …, Qiu, X. (2025, October). Contrasting impacts of grassland restoration methods on soil greenhouse gases emissions under warming conditions in Northern Tibet. Catena, 258.

3. Yan, S., …, He, J. (2025, June 20). Differences along an erosion gradient in alpine meadow plant community diversity and factors influencing diversity. Acta Prataculturae Sinica, 34(6).

Abhijeet Das | Environmental Studies | Best Research Article Award

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Dr. Abhijeet Das | Environmental Studies | Best Research Article Award

Research Consultant | Chandrasekhara Venkata Raman Global University | India

Dr. Abhijeet Das, currently serving as a Project Consultant at Madhu Smita Design & Engineers Studio, is an accomplished civil and water resources engineering professional with a strong academic and research background. He holds a Ph.D. in Water Resources Engineering from C.V. Raman Global University, along with an M.Tech and B.Tech in Civil Engineering from BPUT, Rourkela. With over ten years of diverse experience across consultancy, academia, and research, Dr. Das has led and contributed to numerous national and international projects in hydrological modeling, watershed hydrology, surface water assessment, GIS and remote sensing, and machine learning applications in water resources. His research emphasizes climate change impact analysis, geoinformatics, environmental sustainability, and simulation-optimization modeling. A prolific contributor to scientific advancement, he holds multiple patents and has been recognized with prestigious awards such as the Inspiring Educator Award and several Best Project Awards for his innovative work in machine learning and water quality assessment. Dr. Das has presented as an invited speaker at globally reputed conferences in Vienna, Berlin, Rome, Singapore, Amsterdam, and Osaka. He actively engages in academic development through regular participation in international workshops, faculty development programs, and short-term training courses. His scholarly output includes, 205 citations 89 documents, and an h-index of 8, reflecting his impactful contributions to the field of civil and environmental engineering.

Profiles:  Scopus | ORCID

Featured Publications

1. An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance. (2025). Discover Environment.

2. Reimagining biofiltration for sustainable industrial wastewater treatment. (2025).

3. A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India. (2025). Discover Sustainability.

4. Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques. (2025). Desalination and Water Treatment.

5. Bioplastics: a sustainable alternative or a hidden microplastic threat? (2025). Innovative Infrastructure Solutions.

Mona Maze | Environmental Studies | Best Researcher Award

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Assist. Prof. Dr. Mona Maze | Environmental Studies | Best Researcher Award

Assistant Professor | Agricultural Research Center | Egypt

Dr. Mona Maze is an Assistant Professor at the Agricultural Research Center, Central Laboratory for Agricultural Climate in Egypt, and an accomplished scholar in agricultural sciences with expertise in climate change, plant nutrition, data-driven agriculture, and digital innovation for sustainable farming. She earned her Ph.D. in Plant Nutrition from the Technical University of Munich, where she developed predictive models for wheat performance under water stress and climate change, building on an M.Sc. in Plant Ecology from Cairo University and a B.Sc. in Science from Ain Shams University, further strengthened by advanced training in computer science, machine learning, and spatial data science. Her professional career spans Egypt and Germany, including roles at the Bavarian State Research Center for Agriculture, where she advanced renewable energy and sustainability projects, and leadership in national and USAID-funded projects that integrate artificial intelligence, remote sensing, and big data into agricultural systems. She has spearheaded initiatives such as Egypt’s Digital Dynamic Agricultural Map and web-based decision support tools for irrigation, fertilization, and crop protection, in collaboration with leading organizations including Microsoft and ESRI. Dr. Maze’s research focuses on climate change impacts on agriculture, greenhouse gas mitigation, precision farming, and the integration of AI with ecological modeling, contributing significantly to Egypt’s greenhouse gas inventory and advancing climate-smart agriculture practices. With a distinguished record of publications, international collaborations, and technology-driven solutions that enhance resilience and productivity, she exemplifies innovative leadership at the intersection of environmental science and digital transformation, making her a strong candidate for recognition.

Profiles: Scopus | ORCID

Publications

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025). Enhanced agricultural land use/land cover classification in the Nile Delta using Sentinel-1 and Sentinel-2 data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing, 209, 282–296.

Maze, M., Attaher, S., Taqi, M. O., Elsawy, R., Gad El-Moula, M. M. H., Hashem, F. A., & Moussa, A. S. (2025, February 17). Exploring diverse AI models for enhanced land use and land cover classification in the Nile Delta, Egypt using Sentinel-based data [Preprint]. Preprints.

Salah, M., Maze, M., & Tonbol, K. (2024). Intersecting vulnerabilities: Climate justice, gender inequality, and COVID-19’s impact on rural women in Egypt. Multidisciplinary Adaptive Climate Insights, 1(2), 1041–1058.

Maze, M., Taqi, M. O., Tolba, R., Abdel-Wareth, A. A. A., & Lohakare, J. (2024). Estimation of methane greenhouse gas emissions from livestock in Egypt during 1989 to 2021. Scientific Reports, 14, 12345.

Hijazi, O., Schoo, D., Schweiger, A., Maze, M., & Bernhardt, H. (2023). Comparative life cycle assessment of FarmBot technology with conventional and organic agriculture. In Proceedings of the 2023 ASABE Annual International Meeting (Paper No. 2300749). American Society of Agricultural and Biological Engineers.

Maryam Fazlollahi Mohammadi | Soil and Macro Fauna | Zoology Honour Awards

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Dr. Maryam Fazlollahi Mohammadi | Soil and Macro Fauna | Zoology Honour Awards

Lecturer at South East Technological University, Ireland

Dr. Maryam Fazlollahi Mohammadi is an accomplished forestry researcher and lecturer with a strong background in ecosystem ecology and biodiversity. She earned her BSc and MSc from Tehran University and completed her PhD in Forestry at Tarbiat Modares University in 2016, graduating first in her class. Her doctoral research focused on topographic impacts on forest ecosystems, particularly in the Hyrcanian forests. Maryam has since held academic positions in Iran and Ireland, including postdoctoral research at University College Dublin (UCD) and a current lecturer role at South East Technological University (SETU). Her work contributes significantly to understanding forest dynamics, soil-vegetation interactions, and carbon modeling. Dr. Fazlollahi is known for her collaborative projects, teaching excellence, and contributions to environmental sustainability. 🌍🌲📚

Professional Profiles📖

Education 🎓📚

Maryam obtained her Bachelor’s and Master’s degrees in Forestry from Tehran University, Iran, with a strong emphasis on forest ecology and land management. Her Master’s studies explored forest biodiversity, while her PhD research at Tarbiat Modares University (2016) investigated how topography and landscape features influence forest ecosystems—particularly tree regeneration, herbaceous layers, and soil quality—in the Hyrcanian forest region. Her research was pioneering in identifying natural regeneration patterns linked to soil traits and topography. She ranked 1st in her PhD cohort, a testament to her academic excellence and dedication. She also undertook part of her PhD research at the University of Torino, Italy, collaborating on soil carbon research with Dr. Daniel Said-Pullicino. Recently, she has expanded her skills through the QQI-accredited project management course for postdocs. 📖🌿🌎

Experience 🏥🔍

Maryam has extensive teaching and research experience in both Iranian and Irish academic settings. She began her career lecturing at Iranian universities, teaching ecology, soil science, and agricultural systems. As an occasional lecturer at UCD, she contributed to modules like Forest Climate and Carbon, supporting undergraduate learning through lectures, quizzes, and lab design. Her postdoctoral work at UCD focused on forest carbon dynamics as part of the Terrain-AI project, funded by SFI and Microsoft, involving collaboration with multiple universities. Since December 2022, she has been a Forestry Lecturer at SETU, engaging in undergraduate and postgraduate teaching, fieldwork, and student supervision. She maintains active collaborations across UCD, UL, UCC, and industry stakeholders. Her background bridges research and practice in forest management and climate mitigation. 🌲🧪📊

Awards & Honors 🏆🎖️

Dr. Maryam Fazlollahi Mohammadi has received several notable recognitions throughout her academic career. She ranked first in her PhD cohort at Tarbiat Modares University, a testament to her academic excellence. She was awarded an international research mobility grant by Iran’s Ministry of Science and Technology, facilitating collaborative research on soil carbon dynamics at the University of Torino, Italy. As a postdoctoral researcher on the prestigious Terrain-AI project—funded by Science Foundation Ireland (SFI) and Microsoft—she contributed to cutting-edge forest carbon modeling. At South East Technological University (SETU), she supervises multiple research theses, supporting student-led inquiry and applied learning. She also completed a QQI-accredited project management course for postdoctoral researchers. Dr. Fazlollahi has consistently been recognized for the timely and high-quality delivery of academic and administrative responsibilities. She serves as a reviewer for leading journals such as Catena, Ecological Research, and Scientific Reports, and has developed forest management training materials used across Northern Iran.

Research Focus 🔬🧪

Dr. Fazlollahi’s research spans forest ecology, biodiversity, and environmental modeling. Her work explores how topography, soil conditions, and landform shape influence forest regeneration and species distribution, particularly in mixed-species ecosystems like the Hyrcanian forests. She is an expert in spatial ecology and has contributed to innovative soil-carbon mapping and topographic modeling. As a core researcher on the Terrain-AI project, she focuses on linking management interventions with forest carbon fluxes to support climate mitigation. Her research outcomes support practical forestry decisions, from silviculture planning to policy advising. Her interdisciplinary collaborations extend into agroforestry, biodiversity conservation, and remote sensing integration. She actively works with stakeholders like Coillte, DAFM, and private forestry bodies to apply scientific insights to policy and practice. 🌳📈🌎

Skills 🛠️📊

Dr. Maryam Fazlollahi Mohammadi possesses a diverse and robust skill set that supports her academic, research, and professional endeavors. She is proficient in analytical tools such as MATLAB, R, and SPSS 📊, enabling her to conduct complex statistical analyses and data modeling. Her expertise in GIS and spatial analysis includes hands-on experience with ArcGIS and remote sensing technologies 🗺️. She has completed QQI-certified postdoctoral training in project management 📋, enhancing her ability to lead and coordinate interdisciplinary research projects. Dr. Fazlollahi is also adept in using research and academic tools like EndNote, GS+, and EXPERT CHOICE 🔬. Her teaching skillset includes integrating digital platforms such as Brightspace and Moodle and automating assessments via Google Sheets 💻. In the field and laboratory, she excels in soil sampling, vegetation surveys, and developing lab protocols 🌱. Her strong verbal and written communication 📢, multilingual fluency in English and Farsi 🗣️, and excellent organizational and collaborative abilities 🤝 ensure the timely and high-quality execution of both academic and outreach responsibilities.

Publications Top Notes📚

 

Impact of Management practices on stand-level carbon balance in Irish forests
Source: Irish Forestry
Year: 2022
Citations: Not available

Fine-scale topographic influence on the spatial distribution of tree species diameter in old-growth beech (Fagus orientalis Lipsky.) forests, northern Iran
Source: Scientific Reports, Nature
Year: 2022
Citations: Not available

The effect of landform on soil microbial activity and biomass in a Hyrcanian oriental beech stand
Source: CATENA
Year: 2017
DOI: 10.1016/j.catena.2016.10.006
Citations: 40+

Tree species composition, biodiversity and regeneration in response to catena shape and position in a mountain forest
Source: Scandinavian Journal of Forest Research
Year: 2017
DOI: 10.1080/02827581.2016.1193624
Citations: 30+

Slope gradient and shape effects on soil profiles in the northern mountainous forests of Iran
Source: Eurasian Soil Science
Year: 2016
DOI: 10.1134/s1064229316120061
Citations: 20+

Using the Analytical Network Process (ANP) based on BOCR Model to select the most suitable region for forestation with almond species
Source: Nusantara Bioscience
Year: 2015
DOI: 10.13057/nusbiosci/n070210
Citations: 15+

The influence of landform on the understory plant community in a temperate Beech forest in northern Iran
Source: Ecological Research
Year: 2015
DOI: 10.1007/s11284-014-1233-3
Citations: 25+

Adaptive Strip Sampling in Forest Inventory of Scattered Species of Ulmus glabrain Hyrcanian Forests Northern Iran
Source: Nusantara Bioscience
Year: 2015
Citations: 10+

Cost Price and Quality Evaluation of Seedlings in Public and Private Nurseries (Case Study: Pistacia Atlantic Avarmutica and Populus nigra in Zaghe and Kalantari Nurseries of Lorestan Province)
Source: Iranian Journal of Forest
Year: 2014
Citations: 5+

Qualitative and Financial Evaluation of Public and Private Forest Nurseries; Case study of Southern Zagros forests, Iran
Source: Bioscience
Year: 2014
Citations: 5+

Selection of the Most Suitable Species for Forestation in Southern Zagros Forests Using AHP & TOPSIS Techniques
Source: Ecology of Iranian Forest Journal
Year: 2014
Citations: 10+

Jamal Ayour | Biodiversity and Conservation | Best Researcher Award

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Prof. Jamal Ayour | Biodiversity and conservation | Best Researcher Award

Prof at Agadir Superior School of Technology, Morocco

M. Jamal Ayour is an expert in food science and technology with a focus on nutrition, biotechnology, and agricultural sciences. He holds dual PhDs from INRAE and the University of Marrakech, Morocco, and has extensive professional experience in both academia and research. He currently serves as a Research Professor at the Superior School of Technology, Ibn Zohr University, Agadir, Morocco. Ayour has been involved in numerous international research projects, particularly in the fields of food technology and genetic selection of agricultural products. He has authored multiple influential publications and has a significant impact on the global food science community. His expertise includes formulating food products, supplements, and antioxidants, as well as applying biotechnology to improve food quality and nutritional value.

Professional Profiles📖

Scopus

Education 🎓

M. Jamal Ayour earned his PhD in Agricultural Sciences from INRAE – Avignon University, France (2019), and his PhD in Biotechnology and Food Science from the University of Marrakech, Morocco (2018). He also holds a Master’s degree in Food Technology (2012) and a Bachelor’s degree in Quality Control of Agri-food Products (2010), both from the University of Marrakech. His academic training in these disciplines provided a robust foundation in the scientific study of food quality, biotechnology, and agricultural sciences, which has greatly contributed to his successful career as a researcher and educator.

Work Experience💼

M. Jamal Ayour has gained diverse experience in both industry and academia. He worked as an Engineer in Biochemistry & Biotechnology at the Reformation Center of Agricultural and Agrifood, Paris, France. Additionally, Ayour was a Professor of Dietetics and Nutrition at College de Paris – Keyce Academy. His role as an International Research Project Manager at INRAE involved leading cutting-edge research on genetic selection and industrial processing of fleshy fruits. Ayour’s academic journey includes his current position as a Research Professor at the Superior School of Technology, Ibn Zohr University, Agadir, Morocco, where he focuses on food science, biotechnology, and agricultural research.

Awards and Honors 🏆

M. Jamal Ayour has received several accolades throughout his career in recognition of his research excellence and contributions to food science and technology. His expertise in formulating food products and researching nutritional and biochemical criteria of agricultural products has garnered him recognition within both the academic and professional spheres. Ayour’s work on apricot genetic selection and his involvement in international research projects have been influential in advancing food biotechnology. His ongoing contributions to the field are acknowledged through various honors and research collaborations across Europe and Africa.

Skills 💡

M. Jamal Ayour is proficient in various research and analytical techniques. He has expertise in formulating food products, supplements, antioxidants, and cosmetic products. He is well-versed in statistical software such as R, XLSTAT, SPSS, and MATLAB, which he uses for data analysis in food technology research. Ayour is also skilled in bioinformatics, including using software like Libmol, GenALEx, and MEGA6 for genomic studies. Additionally, he is proficient in teaching and using digital tools, including Moodle and Genially, to enhance learning experiences. His technical expertise is complemented by certifications in food quality control, metrology, and project management.

Research Focus 🔬

M. Jamal Ayour’s research primarily focuses on food science, biotechnology, and agricultural technology. His work includes studying the nutritional, technological, and biochemical properties of fruits, particularly apricots, and their potential for industrial processing. He is involved in genetic selection to improve fruit quality and in the development of innovative food formulations, including supplements and antioxidants. Ayour’s research also explores the enzymatic activity control in fruit ripening, contributing significantly to the food industry’s understanding of processing and storage techniques. His projects aim to bridge the gap between food science research and practical applications.

Conclusion✅

M. Jamal Ayour is an outstanding candidate for the Best Researcher Award. His expertise in food science, agricultural biotechnology, and nutrition research, combined with his academic contributions and international collaboration, makes him an exemplary figure in his field. His innovative work in food technology and genetic research has not only advanced scientific knowledge but also has practical applications in the food industry. By enhancing public engagement and broadening the scope of his research to include sustainability and digital innovation, he could further solidify his position as a leading researcher globally.

Publications Top Notes📚

Genetic diversity assessment towards core collection construction of Moroccan apricot (Prunus armeniaca L.) germplasm using genomic SSR markers
South African Journal of Botany (2025)
DOI: 10.1016/j.sajb.2025.02.038

Valorizing Coffee Grounds: Bioactive Compounds and Innovative Technologies for Industrial By-Product Utilization
Conference Paper (2024)
DOI: 10.3390/ICC2024-18167

Cell Wall Enzymatic Activity Control: A Reliable Technique in the Fruit Ripening Process
Food Science and Nutrition (2024)
DOI: 10.5772/intechopen.113752

Date seeds (Phoenix Dactylifera L.) valorization: chemical composition of lipid fraction
Brazilian Journal of Biology (2024)
DOI: 10.1590/1519-6984.260771

Evolution of pigments and their relationship with skin color and sensory profile in date fruits (Phoenix dactylifera L.)
Brazilian Journal of Biology (2024)
DOI: 10.1590/1519-6984.252426

Inhibitive Properties of Date Seed Extracts (Phoenix Dactylifera L.) on Mild Steel Corrosion in 1M HCl Solution: Experimental and DFT Studies
Biointerface Research in Applied Chemistry (2023)
DOI: 10.33263/BRIAC135.427

Assessment of Phenotypic Diversity of Some Local Moroccan Date Palm Varieties and Clones (Phoenix Dactylifera L.) from the Zagora Region, Southern Morocco
Jordan Journal of Biological Sciences (2022)
DOI: 10.54319/jjbs/150416

Evaluation of some nutritional quality criteria of seventeen Moroccan dates varieties and clones, fruits of date palm (Phoenix dactylifera l.)
Brazilian Journal of Biology (2022)
DOI: 10.1590/1519-6984.236471

Phenolic profiling in ten apricot clones using an efficient method (Thioacidolysis-UFLC) and determination of their antioxidant potential
Food Bioscience (2022)
DOI: 10.1016/j.fbio.2022.101880

Assessment of Nutritional, Technological, and Commercial Apricot Quality Criteria of the Moroccan Cultivar “Maoui” Compared to Introduced Spanish Cultivars “Canino” and “Delpatriarca” towards Suitable Valorization
Journal of Food Quality (2021)
DOI: 10.1155/2021/6679128

Changes in cell wall neutral sugar composition related to pectinolytic enzyme activities and intra-flesh textural property during ripening of ten apricot clones
Food Chemistry (2021)
DOI: 10.1016/j.foodchem.2020.128096

Relationships between Biochemical Criteria, Volatile Compounds, and Sensory Profiles of Ten Apricot Clones at Commercial and Consumption Ripening Stages
Journal of Food Quality (2020)
DOI: 10.1155/2020/8873835

Bioactive compounds and antioxidant activity of seventeen Moroccan date varieties and clones (Phoenix dactylifera L.)
South African Journal of Botany (2019)
DOI: 10.1016/j.sajb.2018.12.004

Contribution to the study of genetic diversity and searching for physicochemical and biochemical parameters as indicators of quality during the maturation of fresh apricot fruits and after processing
Avignon University (2018)

Postharvest technologies for shelf life enhancement of temperate fruits
Postharvest Biology and Technology of Temperate Fruits (2018)
DOI: 10.1007/978-3-319-75163-4_4

Evolution of some fruit quality criteria during ripening of twelve new Moroccan apricot clones (Prunus armeniaca L.)
Scientia Horticulturae (2017)
DOI: 10.1016/j.scienta.2016.12.010

Impact of cooking on apricot texture as a function of cultivar and maturity
LWT (2017)
DOI: 10.1016/j.lwt.2016.10.040

Evolution of pigments and their relationship with skin color based on ripening in fruits of different Moroccan genotypes of apricots (Prunus armeniaca L.)
Scientia Horticulturae (2016)
DOI: 10.1016/j.scienta.2016.05.027