Yong Yue | Environmental Science | Research Excellence Award

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Prof. Dr. Yong Yue | Environmental Science | Research Excellence Award

China Power Engineering Consulting Group Co.,Ltd | China

Prof. Dr. Yong Yue is an environmental engineering expert specializing in solid waste management, contaminated soil remediation, and resource recovery technologies. His research focuses on petroleum-related waste treatment, low-carbon environmental solutions, and advanced remediation systems for polluted environments. He has contributed to numerous national and industrial projects, demonstrating strong capabilities in technology innovation and engineering implementation. His work includes thermal desorption techniques, hazardous waste utilization, and sustainable remediation strategies. With scholarly contributions reflected by 12 citations, 3 documents, and an h-index of 2, his research supports eco-environmental protection, industrial sustainability, and efficient resource utilization practices.

Citation Metrics (Scopus)

15

10

5

0

 

Citations
12

Documents
3

h-index
2

🟦 Citations    🟥 Documents    🟩 h-index


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Featured Publications

Katayoun Kargar | Urban Drainage Systems | Research Excellence Award

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Dr. Katayoun Kargar | Urban Drainage Systems | Research Excellence Award

Toronto Metropolitan University | Canada

Dr. Katayoun Kargar is a civil engineering researcher whose work advances the understanding, modelling, and management of sewer blockages within urban drainage networks, particularly those caused by non-flushable consumer products. Her research integrates hydraulic modelling, data analytics, and infrastructure asset management to address performance deterioration in sewer systems and provide actionable strategies for municipalities. She has contributed original methodologies for analyzing blockage mechanisms using open datasets, quantified the hydraulic impacts of wipe-induced obstructions, and developed simulation frameworks capable of capturing flow alterations and risk conditions in sewer networks. Her work with SWMM includes creating and validating procedures that allow utilities to incorporate blockage dynamics into routine modelling, enabling more accurate capacity evaluations, maintenance prioritization, and system reliability assessments. By translating laboratory insights into practical planning tools, she supports municipalities in enhancing inspection regimes, optimizing rehabilitation strategies, and strengthening long-term infrastructure resilience. Her scholarly contributions include publications indexed in major scientific databases and presentations at leading professional forums, where her work has been recognized through notable awards for research excellence and technical communication. Complementing her academic achievements, she has professional experience in asset management consulting, applying modelling outputs and analytical approaches to assist municipalities in developing asset management plans, capital planning frameworks, and infrastructure lifecycle strategies. Her combined research and practical expertise contribute to advancing municipal wastewater infrastructure management and promoting data-informed decision-making in the engineering of sustainable urban drainage systems.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Shamshirband, S., Hashemi, S., Salimi, H., Samadianfard, S., Asadi, E., … (2020). Predicting standardized streamflow index for hydrological drought using machine learning models. Engineering Applications of Computational Fluid Mechanics, 14(1), 339–350.

Samadianfard, S., Hashemi, S., Kargar, K., Izadyar, M., Mostafaeipour, A., … (2020). Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm. Energy Reports, 6, 1147–1159.

Kargar, K., Samadianfard, S., Parsa, J., Nabipour, N., Shamshirband, S., … (2020). Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms. Engineering Applications of Computational Fluid Mechanics, 14(1), 311–322.

Kargar, K., Safari, M. J. S., Mohammadi, M., Samadianfard, S. (2019). Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques. Water Science and Technology, 79(12), 2318–2327.

Safari, M. J. S., Mohammadi, B., Kargar, K. (2020). Invasive weed optimization-based adaptive neuro-fuzzy inference system hybrid model for sediment transport with a bed deposit. Journal of Cleaner Production, 276, 124267.

 

Chen Ru | Climate Change | Editorial Board Member

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Dr. Chen Ru | Climate Change | Editorial Board Member

Tsinghua University | China

Dr. Chen Ru is a scholar specializing in ecological economics, environmental management, and climate-related sustainability transitions, with research spanning carbon footprint analysis, agricultural sustainability, and policy-driven environmental performance. His work offers influential insights into how production systems particularly agricultural and food sectors interact with carbon emissions, climate risk, and broader environmental impacts. He has contributed substantially to advancing carbon footprint methodologies, especially through investigations of variable system boundaries, total factor productivity perspectives, and greenhouse gas accounting frameworks across diverse socio-ecological contexts. His studies explore whether agricultural production functions as a carbon sink or source, evaluate climate-neutral pathways for regional agricultural systems, and assess the carbon effects of modern agricultural cooperatives. Beyond agricultural systems, he has examined links between stringent environmental regulations, air pollution, and corporate innovation, revealing how policy design shapes organizational response and environmental outcomes. His research also addresses the role of compensation policies, cooperation mechanisms, and government intervention in enhancing farmers’ livelihood resilience, mitigating risk shocks, and improving cooperative performance under carbon-constrained conditions. Through interdisciplinary approaches blending ecological indicators, cleaner production principles, and environmental policy analysis, Dr. Chen provides actionable knowledge that bridges scientific assessment and real-world decision-making. His scholarly contributions support more sustainable production models, improved environmental governance, and enhanced climate resilience, positioning him as an important voice in the evolution of ecological sustainability and low-carbon development strategies.

Profile: Google Scholar

Featured Publications

Chen, R. (2024). Carbon footprint assessment of agricultural production systems under the variable system boundary scenarios. In Carbon Footprint Assessments: Case Studies & Best Practices (pp. 201–236).

Chen, R., & Kong, Y. (2022). Redefine carbon footprint performance with the total factor productivity: A case from a regional food production system. Ecological Indicators, 144, 109540.

Chen, R., & Kong, Y. (2023). A comprehensive review of greenhouse gas based on subject categories. Science of The Total Environment, 866, 161314.

Chen, R., Zhang, R., & Han, H. (2021). Where has carbon footprint research gone? Ecological Indicators, 120, 106882.

Chen, R., Zhang, R., Han, H., & Jiang, Z. (2020). Is farmers’ agricultural production a carbon sink or source?–Variable system boundary and household survey data. Journal of Cleaner Production, 266, 122108.

Murat Emec | Ecology Informatics | Editorial Board Member

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Dr. Murat Emec | Ecology Informatics | Editorial Board Member

Istanbul University | Turkey

Dr. Murat Emec is an accomplished researcher whose work sits at the intersection of artificial intelligence, data science, health informatics, sustainability, and the Internet of Things, with a strong emphasis on applying machine learning to real-world societal challenges. His research portfolio spans advanced deep learning models for intrusion detection in IoT networks, ensemble machine learning approaches for air quality prediction, potable water quality forecasting for sustainable resource management, and the development of specialized IoT datasets aimed at improving cybersecurity analysis. He has contributed to innovative methods in hyperparameter optimization, feature engineering, and data preprocessing, supporting the development of robust predictive systems across multiple domains. Dr. EMEÇ’s work extends into medical and biochemical applications, including machine learning-based LDL prediction, radiomics-driven diagnostic modelling in oncology and neurology, and prognostic modelling using MRI data. His research also covers complex environmental and agricultural modelling, such as global wheat water footprint estimation using ensemble learning. Beyond technical fields, he has explored the societal impact of generative AI, healthcare insurance cost prediction models, and behavioural and gait analysis using sensor-based systems. He has co-developed machine learning solutions for transportation analytics, including large-scale airline ticket price prediction, and contributed to studies on pandemic data modelling. His scholarship reflects a consistent focus on designing data-driven, adaptive, and intelligent systems that enhance sustainability, healthcare decision-making, cybersecurity resilience, and smart environments. Overall, his research demonstrates a multidisciplinary orientation, integrating computational innovation with practical applications in health, environment, and digital transformation.

Profile: Google Scholar

Featured Publications

Emeç, M., & Özcanhan, M. H. (2022). A hybrid deep learning approach for intrusion detection in IoT networks. Advances in Electrical and Computer Engineering, 22(1), 3–12.

Emeç, M., & Yurtsever, M. (2024). A novel ensemble machine learning method for accurate air quality prediction. International Journal of Environmental Science and Technology.

Yurtsever, M., & Emeç, M. (2023). Potable water quality prediction using artificial intelligence and machine learning algorithms for better sustainability. Ege Academic Review, 23(2), 265–278.

Emeç, M., & Özcanhan, M. H. (2023). ROUT-4-2023: RPL based routing attack dataset for IoT.

Emeç, M., & Tecim, V. (2016). RFID teknolojisi kullanarak kampüs harcama sistemlerinin tasarlanması ve uygulanması: Üniversite örneği. Yönetim Bilişim Sistemleri Dergisi, 2(1), 77–90.

Brad Farmilo | Ecology | Editorial Board Member

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Dr. Brad Farmilo | Ecology | Editorial Board Member

Senior Scientist | Arthur Rylah Institute for Environmental Research | Australia

Dr. Brad Farmilo is a dedicated environmental scientist whose work spans ecological conservation, biodiversity management, and the study of plant community dynamics in fragmented landscapes. With a strong academic foundation in biological and environmental sciences, he has built a career marked by scientific leadership, field-based research, and collaborative problem-solving. His professional experience includes guiding multidisciplinary teams, designing and delivering ecological monitoring programs, conducting advanced data analyses, and contributing to conservation strategy development. His research has explored themes such as weed management in sensitive habitats, ecological responses within forest fragments, and patterns of species distribution across altered landscapes. Through publications in respected scientific journals, he has provided evidence-based insights that support conservation planning and environmental policy. Dr. Farmilo’s influence is reflected not only in his scientific outputs but also in his commitment to mentoring emerging researchers and fostering collaborative projects that bridge science and practice. His expertise with statistical analysis and geospatial tools enhances the precision and impact of his findings, while his contributions to grant development underscore his role in advancing innovative environmental research. Widely regarded for his thoughtful approach to ecological challenges, Dr. Farmilo continues to shape the understanding of landscape-scale biodiversity processes and supports the development of sustainable conservation initiatives that benefit both ecosystems and the scientific community.

Profiles: Scopus | Google Scholar

Featured Publications

Farmilo, B. J., Melbourne, B. A., Camac, J. S., & Morgan, J. W. (2014). Changes in plant species density in an experimentally fragmented forest landscape: Are the effects scale-dependent? Austral Ecology, 39(4), 416–423.

Farmilo, B. J., & Nimmo, D. G., & Morgan, J. W. (2013). Pine plantations modify local conditions in forest fragments in southeastern Australia: Insights from a fragmentation experiment. Forest Ecology and Management, 305, 264–272.

Schultz, N., Keatley, M., Antos, M., Wong, N., Moxham, C., Farmilo, B., … (2017). The golf ball method for rapid assessment of grassland structure. Ecological Management & Restoration, 18(2), 134–140.

Morgan, J. W., & Farmilo, B. J. (2012). Community (re)organization in an experimentally fragmented forest landscape: Insights from occupancy–scale patterns of common plant species. Journal of Vegetation Science, 23(5), 962–969.

Moxham, C., Dorrough, J., Bramwell, M., & Farmilo, B. J. (2016). Fire exclusion and soil texture interact to influence temperate grassland flora in south-eastern Australia. Australian Journal of Botany, 64(5), 417–426.

Muhammad Ibrahim | Environmental Science | Best Researcher Award

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Dr. Muhammad Ibrahim | Environmental Science | Best Researcher Award

Researcher | Hohai University | China

Dr. Muhammad Ibrahim is an environmental scientist whose research focuses on emerging pollutants, water quality, ecological risk assessment, and nature-based remediation strategies. His work spans the toxicological behavior of PFAS, heavy metals, antibiotics, and nutrient pollution, with special emphasis on their interactions, dispersal pathways, and ecological consequences in freshwater systems. He investigates semiconductor-based photocatalysis, bio-electrochemical remediation, phytoremediation, and biogeochemical processes in reservoirs, advancing innovative approaches for pollution control and sustainable water-environment management. His scholarship also extends to environmental modeling, microalgal bloom dynamics, atmospheric pollution assessment, and the ecological impacts of industrial effluents. In parallel, he contributes to interdisciplinary studies linking environmental protection with public health, climate indicators, agricultural sustainability, and data-driven solutions such as federated learning frameworks for environmental and healthcare applications. Professionally, he has developed strong expertise in scientific analysis, laboratory research, data interpretation, environmental monitoring, and team leadership. He has participated in multiple international conferences, contributed to collaborative research networks, and published extensively in high-impact journals across environmental science, engineering, and sustainability. His work is recognized through several competitive awards for academic excellence, innovative research, and global environmental solutions, reflecting his commitment to advancing scientific understanding and real-world applications that support cleaner ecosystems and resilient communities.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Li, Y., Ibrahim, M., Yue, C., Wang, Y., Hongzhe, P., Hassan, A. W., & Chunmin, Y. (2025). Exploring the impact of seasonal variation on the toxicological profile of Σ2PFAS in surface water bacterioplankton communities. Journal of Hazardous Materials, 140464.

Li, Y., Wang, Y., Hu, X., Cheng, Y., Zhu, Y., Zhou, Y., Pan, H., Li, R., Ibrahim, M., & Gualtieri, C. (2025). Reservoir water-level operations to manage biogeochemical turnover. Water Research, 124225.

Ibrahim, M., Li, Y., Usman, M., Adnan, M., Danjaji, H. A., & Jibo, A. U. (2025). Effect of nitrate on the semiconductor-based photocatalytic degradation of azithromycin. Journal of Environmental Engineering, EEENG-8063.

Li, Y., Zhu, Y., Chen, Y., Wang, C., Zhao, G., Pan, H., Wang, C., Bao, H., Ibrahim, M., & Norgbey, E. (2025). Heavy metals contamination in water-sediment systems of a large drinking water reservoir in southern China: Large-scale assessment and risk-based management. Journal of Cleaner Production, 146557.

Chen, D., Ibrahim, M., Soroma, M., Danjaji, H. A., Jibo, A. U., & Yang, Y. (2025). Season-based phytoremediation potential of brown mustard for lead decontamination: effect of EDTA chelation and antioxidant enzyme activity. International Journal of Phytoremediation.

Chaosheng Luo | Agricultural and Biological Sciences | Best Research Article Award

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Dr. Chaosheng Luo | Agricultural and Biological Sciences | Best Research Article Award

Yunnan agricultural university China

Chaosheng Luo is a dedicated young scholar at Yunnan Agricultural University, currently on the verge of completing a doctoral degree. 🌾 His research focuses extensively on intercropping systems for disease control and yield enhancement. With a deep passion for agroecological balance and sustainable farming systems, Luo has consistently contributed innovative solutions to complex plant pathology challenges, positioning himself as a promising voice in agricultural sciences.

Profile

Scopus

Orcid

🎓 Education

Chaosheng Luo is currently pursuing his Doctoral Degree in Agriculture, specializing in intercropping strategies to combat plant diseases while increasing crop productivity. His academic path has been marked by rigorous training in plant pathology, soil biology, and sustainable farming practices, laying a strong foundation for impactful scientific contributions.

💼 Experience

Luo has several years of hands-on and theoretical research experience, particularly in intercropping-based disease suppression, crop yield enhancement, and soil–plant interactions. He has actively contributed to key national-level research initiatives and participated in high-impact scholarly communication through journals and research platforms. He also collaborates with leading experts in agronomy and plant sciences through various multidisciplinary projects.

🔬 Research Interests

His core research interests include plant–soil–microbe interactions, intercropping systems, plant disease management, soil health, and sustainable agriculture. Luo is especially interested in understanding how plant diversity in cropping systems can naturally suppress diseases and reduce chemical inputs, ultimately supporting food security and environmental health.

🏆 Awards

Currently nominated for the Best Research Scholar Award, Luo’s dedication to innovation and sustainability in agricultural research has garnered national attention. His achievements, including participation in prestigious research grants and contributions to internationally recognized journals, highlight his growing influence in the academic community.

📚 Publications Top Notes: 

Chaosheng Luo has published impactful research in several SCI-indexed journals. One notable publication is:

Luo, C. et al. (2025). Rhizosphere microorganisms link the belowground processes of intercropping to disease suppression, 

Appropriate nitrogen supply and intercropping reduce epidemics, the compound disease of faba bean, and yield and economic losses

Optimization of N Fertilizer and Synergistic Intercropping to Enhance the Productivity Advantage of Faba Bean and Effective Control of Chocolate Spot Epidemics

Enhancing soil properties, soil-borne diseases control, and quality through selecting high C/N agricultural waste during reductive soil disinfestation for continuous tobacco cropping

Impact of Bacillus subtilis and Pseudomonas fluorescens beneficial bacterial agents on soil-borne diseases, growth, and economics of continuous cropping of flue-cured tobacco

The severity and yield effects of the chocolate spot disease in faba bean affected by intercropping and nitrogen input

Effect of Enhanced Organic Material Addition during Reductive Soil Disinfestation on Disease Resistance, Yield Increase, and Microbial Community in Flue-Cured Tobacco

Co‐culture of faba bean with wheat provides evidence for intercropping faba bean to alleviate the occurrence of Fusarium wilt under the autotoxic stress of salicylic acid

Sahassawas Poojeera | Energy and Sustainability | Best Researcher Award

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Assist. Prof. Dr. Sahassawas Poojeera | Energy and Sustainability | Best Researcher Award

Lecturer Rajamangala University of Technology Isan, Khon Kaen Campus Thailand

Mr. Sahassawas Poojeera is an Assistant Professor at Rajamangala University of Technology Isan, Khon Kaen Campus. His expertise lies in mechanical engineering, renewable energy, biomechanics, and finite element analysis (FEA). With a strong academic and research background, he has significantly contributed to biofuels, thermoelectric cooling, and alternative energy solutions. He has authored numerous publications in high-impact journals and actively supervises graduate students in mechanical and biomedical engineering.

Profile

Google Scholar

🎓 Education

  • Ph.D. in Mechanical Engineering (2014–2020) – Khon Kaen University
  • M.Eng in Mechanical Engineering (2012–2013) – Khon Kaen University
  • B.Eng in Mechanical Engineering (2008–2011) – Khon Kaen University
  • High School (Math & Science) (2002–2007) – Khon Kaen Wittayayon School

💼 Experience

  • Assistant Professor (2022–Present), Rajamangala University of Technology Isan, Khon Kaen Campus
    • Conducts research on renewable energy, biomechanics, and sports injuries
    • Supervises graduate students in mechanical and biomedical engineering
    • Publishes research in high-impact journals

🔬 Research Interests

  • Biofuels & Alternative Energy 🔋
  • Renewable Energy Applications in Agriculture 🌱
  • Finite Element Analysis (FEA) & Heat Transfer 🔥
  • Biomechanics & Sports Injury Prevention 🏃‍♂️

🏆 Awards & Nominations

  • Recognized for outstanding contributions to renewable energy and mechanical engineering
  • Active reviewer for top-tier journals in energy and thermodynamics
  • Recipient of research grants for biogas burner and Yang-Na oil fuel studies

📚 Publications Top Notes:

Experimental investigations on bio-diesel from Schleichera oleosa operated indirect injection and direct injection diesel engine: a combined application of ANN and RSM-based optimization (2025) – Discov Appl Sci (Q1)

Embedded Copper Foam Effect on the Nanofluids Thermal Cooling Performance of the Electric Vehicle Battery Pack (2025) – Engineered Science (Q1)

Modeling Airflow and Temperature in a Sealed Cold Storage System for Medicinal Plant Cultivation Using CFD (2024) – Agronomy 14(12), 2808 (Q1)

Optimized performance of closed-loop control electromagnetic field for electric generators with energy storage (2024) – Engineered Science (Q1)

Heat transfer and flow analysis for square tube with oscillating electromagnetic field with ANN (2024) – Cogent Engineering 11(1), 2430431 (Q1)

Oscillating electromagnetic field effect on Nusselt number and pressure drop of ferrofluid in fluted tubes (2024) – Engineered Science 32, 1307 (Q1)

Development of rubber mattresses with cooling systems to reduce pressure sores for the elderly (2024) – Engineered Science 30, 1153 (Q1)

Numerical and experimental study on PPE suit cooling in COVID-19 with a thermoelectric module (2023) – Engineered Science 26(2), 990 (Q1)

Performance and emission characteristics of diesel engine fueled by Yang oleoresin blended diesel fuel (2024) – Energy Sources, Part A (Q1)

Study on Thermal Performance of Small-Scale Air Conditioning with Thermoelectric Cooling (2022) – Mathematical Modelling of Engineering Problems 9(4) (Q2)

Fereshteh Emami | Environmental Science | Best Researcher Award

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Prof. Fereshteh Emami | Environmental Science | Best Researcher Award

Associate Professor Southeastern Louisiana University United States

Dr. Fereshteh Emami is a tenured Associate Professor at Southeastern Louisiana University (SLU), where she serves in the Departments of Chemistry & Physics and Integrated Science and Technology. As the Director of both the Analytical-Environmental Chemistry Laboratory and the Chemometrics and Biomathematics Laboratory, she leads innovative research in AI-driven bioanalytical challenges and the development of VR environments for STEM education.

Profile

Scopus

Google scholar

Education 📚📜

Dr. Emami earned her Ph.D. in Analytical Chemistry from Bu-Ali Sina University in 2013, following her M.Sc. in the same field in 2007. She completed her B.Sc. in Chemistry at Razi University in 2005, establishing a strong foundation in analytical and computational chemistry.

Professional Experience 🏢💼

Her career includes tenure-track roles at SLU, Chief Data Scientist at Digital Factory, Inc., and research positions at Clarkson University and Bowling Green State University. She has applied advanced mathematical techniques to air quality data and explored innovative bioanalytical methods using AI and machine learning.

Research Interests 🔍💡

Dr. Emami’s research spans environmental chemistry, bioanalytical chemistry, biomedical engineering, and data science. She focuses on pollutant degradation in water, AI-driven biosensors, VR-assisted molecular studies, and predictive modeling for environmental and biomedical data analysis.

Awards and Grants 🏆💰

Dr. Emami has been awarded substantial grants, including the Air Products-funded “Chemical Monitoring of Lake Maurepas” project phases, totaling over $12 million. Her contributions to research in AI-driven sensing and environmental monitoring reflect her dedication to scientific advancement.

Publications Top Notes:📖🔗

Gunawardhana, T., et al. “Spatial pattern assessment and prediction of water quality changes in Lake Maurepas.” Environments, 11(12), 2024. View Article

Rahman, M.A., et al. “Chemical variations in Lake Maurepas: vertical distribution and source identification.” Environmental Science & Technology, Submitted, 2024.

Rahman, M.A., et al. “Assessment of the vertical distribution of contaminants in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Gunawardhana, T., et al. “Examining heavy metals in Lake Maurepas,” Louisiana Academy of Sciences Annual Meeting, 2024.

Yumin TAN | Energy and Sustainability | Best Researcher Award

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Prof. Yumin TAN | Energy and Sustainability | Best Researcher Award

professor Beihang University China
👩‍🏫 Prof. TAN Yumin is a prominent figure in the field of transportation science and technology at Beihang University, China. With a focus on multi-source remote sensing data processing and spatial information services, her contributions span decades of impactful research. She has led significant national projects and received numerous prestigious awards for her work.

profile

Scopus.com

Education

🎓 Prof. TAN earned her Master’s degree in Geodesy and Surveying Engineering from Tsinghua University in 2001 and her PhD in Cartography and Geographic Information Systems from the Chinese Academy of Sciences in 2004. She has been a part of Beijing University of Aeronautics and Astronautics since 2004, shaping the future of transportation science.

Experience

💼 Throughout her career, Prof. TAN has held key leadership roles, including General Secretary of the Civil and Airport Department, Director of the Department of Intelligent Transport Infrastructure, and member of various expert committees such as the Digital Twin Three Gorges project. She has also been a member of the China Association for Remote Sensing Applications and has provided expert advice on geological disaster prevention and ecological restoration.

Research Interest

🔍 Prof. TAN’s research centers on multi-source remote sensing data processing, spatial information services, and their commercial applications. She has been involved in high-profile projects, including the National Satellite and Application Industry Development Special Project, and her research has been applied to critical areas like the Three Gorges Reservoir.

Awards

🏆 Prof. TAN has received several prestigious awards, including:

  • Wu Wenjun’s Artificial Intelligence Technology Progress Award
  • Geographic Information Technology Progress Award
  • Dayu Science and Technology Progress Award

These accolades recognize her remarkable contributions to geospatial technology and remote sensing applications.

Publications Top Notes :

📝 Prof. TAN has published extensively in her field. Some of her prominent works include: