Dilawar Abbas | Agricultural | Research Excellence Award

Dr. Dilawar Abbas | Agricultural | Research Excellence Award

Chinese Academy of Agricultural Sciences | China

Dilawar Abbas is an emerging researcher in agricultural and insect sciences whose work integrates biological control, integrated pest management (IPM), insect ecology, and applied entomology to address critical challenges in sustainable crop protection. His research spans insect behavior and interactions, physiology, morphology, taxonomy, molecular biology, toxicology, and the application of entomopathogenic nematodes, with a strong emphasis on environmentally responsible pest management strategies. He has conducted laboratory-based investigations on insect diapause intensity and overwintering survival, combining physiological, biochemical, and molecular approaches to elucidate mechanisms of cold tolerance and diapause regulation in major agricultural pests. Complementing this experimental work, his applied research experience includes field-based pest identification, monitoring, and management across diverse cropping systems, contributing to a comprehensive understanding of IPM implementation under real agricultural conditions. This integrated perspective bridges fundamental insect biology with practical pest control solutions aimed at improving crop yield, quality, and sustainability. His research outputs reflect growing scholarly impact, with 14 published documents that have received 19 citations across 17 citing documents and an h-index of 3, demonstrating early but meaningful contributions to the scientific literature. Collectively, his work highlights strong potential for continued innovation in sustainable pest management, ecological research, and biologically based control strategies within modern agricultural systems.

Citation Metrics (Scopus)

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19

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14

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Climate-driven insect pest outbreaks and associated food security risks: adaptive strategies for resilient agricultural systems

– Review Article

Siran Wang | Agricultural | Research Excellence Award

Prof. Siran Wang | Agricultural | Research Excellence Award

Jiangsu Academy of Agricultural Sciences | China

Dr. Siran Wang is a leading researcher in animal nutrition and forage science whose work centers on improving silage quality, feed efficiency, and sustainable livestock production through microbial and fermentation-based innovations. His research focuses on forage processing and efficient utilization, screening and application of functional lactic acid bacteria, and the development and utilization of unconventional feed resources, with particular emphasis on enhancing nutritional value, safety, and stability of animal feeds. He has made substantial contributions to understanding microbial communities, fermentation mechanisms, and their practical application in silage systems, especially under diverse agro-ecological conditions. Dr. Wang plays an active academic service role across multiple high-impact journals, serving as section editor, early-career editorial board member, lead guest editor and guest associate editor for numerous international special issues and research topics related to agriculture, microbiology, fermentation, plant science, and animal science, several of which have resulted in large collections of published peer-reviewed papers. His editorial leadership reflects strong recognition within the scientific community for his expertise in silage microbiology and forage utilization. Dr. Wang has published 111 scientific documents, which have received 1,594 citations across 977 citing documents, and he holds an h-index of 21, highlighting the impact, consistency, and relevance of his research contributions to agricultural and animal science.

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1,594

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111

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Application of Fermentation Technology in Animal Nutrition: Second Edition

– Fermentation
 

Biological delignification and anaerobic fermentation of wheat straw as a sustainable strategy for crop straw utilization

– Industrial Crops and Products
 

Effects of biological lignin depolymerization on rice straw enzymatic hydrolysis, anaerobic fermentation performance, and in vitro ruminal digestibility

– International Journal of Biological Macromolecules
 

Effects of biological and antifungal additives on ensiling quality, in vitro digestibility, gas production, and aerobic stability of fermented total mixed rations containing wet brewers’ grains

– Acta Prataculturae Sinica
 

Influence of growth stage and storage duration on fermentation traits, microbial community dynamics, functional shifts, and pathogenic risk in fermented Italian ryegrass

– LWT

Halit Karagoz | Agricultural | Research Excellence Award

Assist. Prof. Dr. Halit Karagoz | Agricultural | Research Excellence Award

Ege University | Turkey

Dr. Halit Karagoz’s research portfolio reflects a comprehensive and multidisciplinary contribution to field crops science, with a strong emphasis on crop breeding, stress physiology, and sustainable agricultural practices. His work integrates classical and modern approaches in plant breeding, including cold tolerance screening, mutagenesis, polyploidy induction, genetic diversity analysis, and population structure assessment in cereals and medicinal–aromatic plants. A significant body of his research focuses on wheat, barley, triticale, and endemic oregano species, addressing agronomic performance, quality traits, and adaptation to abiotic stresses such as cold and drought. He has also made notable contributions to the application of plant growth–promoting rhizobacteria (PGPR) for improving plant growth, nutrient uptake, stress tolerance, and essential oil composition, thereby supporting environmentally friendly and sustainable production systems. His studies employ molecular, epigenetic, and agro-morphological tools to advance crop improvement and conservation of local genetic resources. The scientific impact of this work is reflected in an h-index of 7, with publications receiving citations across 146 citing documents and a documented corpus of 9 indexed research outputs, demonstrating recognized influence within the fields of crop science, plant genetics, and sustainable agriculture.

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152

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9

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Properties and Ornamental Significance of Prometheum sempervivoides (Fisch. ex Bieb.) H. Ohba Naturally Grown in Erzurum

– Journal of Agricultural Production, 2020

Influence of Plant Growth–Promoting Rhizobacteria on Growth, Nutrient Uptake, and Physiological Traits of Sugar Beet under Variable Irrigation Regimes

– ÇOMÜ Ziraat Fakültesi Dergisi, 2020

Effects of Indole Acetic Acid–Producing Bacteria and Hormonal Treatments on Essential Oil Composition of Satureja hortensis L.

– Frontiers in Environmental Microbiology, 2019

Genetic Diversity and Population Structure Analysis of Origanum rotundifolium L. Genotypes Using the SCoT Marker System

– Genetic Resources and Crop Evolution, 2026

Evaluation of Genetic Diversity in Wheat (Triticum aestivum) Genotypes for Cold Tolerance, Agronomic Performance, and Quality Traits

– Crop and Pasture Science

Melih Altay | Agricultural | Young Researcher Award

Mr. Melih Altay | Agricultural | Young Researcher Award

Hacettepe University | Turkey

Melih Altay is a researcher in geomatics engineering with a strong specialization in photogrammetry, artificial intelligence, and remote sensing. His research is centered on integrating deep learning and machine learning methods with multi-source Earth observation data to address complex geospatial problems. He has developed and applied advanced AI-based segmentation, object detection, and classification approaches for analyzing optical and SAR satellite imagery, with particular emphasis on forest fire assessment, water surface detection, and agricultural land monitoring. His work contributes to improving the accuracy and automation of geospatial data extraction from high-resolution satellite platforms such as PlanetScope and Sentinel series. His research demonstrates strong interdisciplinary integration of GIS, remote sensing, and artificial intelligence, offering scalable solutions for environmental monitoring, land-use analysis, and spatial decision support. Through peer-reviewed conference publications, he has contributed comparative evaluations of deep learning architectures and innovative workflows that enhance geospatial analysis efficiency and reliability. Overall, his work reflects a forward-looking approach to geomatics engineering, emphasizing intelligent automation, high-resolution spatial analytics, and the practical application of AI technologies in Earth observation and digital twin systems.

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Phenology aware agricultural boundary extraction using segment anything model and planet scope imagery (zero shot learning approach)– Advances in Space Research

Wei Dong | Agricultural | Research Excellence Award

Dr. Wei Dong | Agricultural | Research Excellence Award

Northwest Agriculture and Forestry University | China 

Dong Wei is an accomplished academic and researcher specializing in hydraulic machinery and hydrodynamics, with a strong record of scientific leadership and technical innovation. He serves as an Associate Professor and Doctoral Supervisor at Northwest A&F University and is actively engaged in national and professional service related to hydropower, pumping systems, and energy conversion equipment. His research contributions span fundamental theory, engineering applications, and standardization, reflecting both academic depth and practical relevance. He has led 20 competitive research and industry-supported projects at national, provincial, and enterprise levels, demonstrating sustained research capacity and management expertise. His scholarly output includes 53 research documents, with 60 published papers overall, of which 40 are indexed in SCI/EI databases and 10 are recognized as top-tier Q1 publications. His work has attracted significant academic attention, accumulating 443 citations across 364 citing documents, and he maintains an h-index of 12, indicating consistent research impact. In addition to publications, he holds 10 authorized patents, has edited or co-edited a specialized textbook, and has contributed to the formulation of two national technical standards, underscoring his role in advancing both scientific knowledge and engineering practice in the field of hydraulic and hydropower equipment.

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445

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53

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12

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Research on Cavitation Energy Characteristics of a Mixed-Flow Pump Based on Entropy Production Theory and Multi-Resolution Dynamic Mode Decomposition (MRDMD)


– International Journal of Heat and Mass Transfer, 2026


Analysis of Transient Entropy Generation Loss Mechanisms under Variable-Speed Operating Conditions of a Pump-Turbine


– Transactions of the Chinese Society for Agricultural Machinery (Nongye Jixie Xuebao), 2025


Multi-Objective Optimization of Control Strategies for Variable-Speed Regulation in Pump Mode of Pump-Turbines


– Sustainable Energy Technologies and Assessments, 2025


Multiscale Pressure Fluctuation Characteristics and Vortex–Enthalpy Interaction in a Cavitating Mixed-Flow Pump


– Physics of Fluids, 2025


Optimization of Centrifugal Pump Performance and Excitation Force Using Machine Learning and Enhanced NSGA-III


– Engineering Applications of Artificial Intelligence, 2025

Ramesh Sahni | Agricultural | Best Researcher Award

Dr. Ramesh Sahni | Agricultural | Best Researcher Award

Central Institute of Agricultural Engineering | India

Ramesh Kumar Sahni has established a solid and impactful scholarly record, demonstrated through 40 peer-reviewed research documents that together have garnered 187 citations from 154 citing publications, reflecting wide visibility and meaningful influence within the academic community. With an h-index of 9, his research output shows a strong balance between productivity and sustained citation impact, indicating that several of his works are consistently referenced and contribute enduring value rather than short-term attention. His publications collectively address relevant scientific and applied challenges, offering methodological depth, technological relevance, and interdisciplinary insights that continue to inform and support subsequent research efforts. The citation distribution highlights not only recognition by peers but also the practical and conceptual relevance of his work across related domains. Maintaining a steady stream of quality publications, Ramesh Kumar Sahni’s research profile reflects intellectual consistency, originality, and a commitment to advancing knowledge through well-disseminated findings. Overall, the combination of document volume, citation count, and h-index underscores a credible and growing research impact, positioning his contributions as reliable reference points within the scholarly ecosystem and demonstrating sustained engagement with high-value research outcomes.

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200
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187

Documents
40

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9

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Development of a Sensor-Based Embedded System for Real-Time Variable-Rate Fertilizer Application in Maize Cultivation

– Results in Engineering


Utilising Drones in Agriculture: A Comprehensive Review of Remote Sensing, Image Processing, and Field Applications

– Modern Agriculture


Comparative Evaluation of Drone Spraying and Conventional Gun Spraying for Nano-Urea Application in Maize Cropping Systems

– Drones


Resource Use Efficiency and Environmental Impacts of Traditional and Improved Cultivation Practices in Soybean, Paddy, and Wheat Systems

– Sustainable Energy Technologies and Assessments


A Novel Dynamic Detection Method for Stem and Fruit Identification to Enable Apricot Posture Estimation and Adjustment

– Information Processing in Agriculture

Opeyemi Faronbi | Agricultural | Research Excellence Award

Dr. Opeyemi Faronbi | Agricultural | Research Excellence Award

Landmark University | Nigeria

Dr. Opeyemi Faronbi is an emerging scholar whose research contributions demonstrate growing impact and visibility within the agricultural and food systems research community. Her scholarly output comprises 8 peer-reviewed documents, reflecting a focused and consistent publication trajectory across key thematic areas such as agricultural economics, food and nutrition security, climate-smart agriculture, agroecology, and gender-related dimensions of rural development. These publications have collectively attracted 36 citations from 34 citing documents, indicating that her work is being actively referenced and utilized by other researchers to inform ongoing studies and evidence-based discussions. With an h-index of 4, Dr. Faronbi has established a measurable balance between productivity and citation impact, underscoring the relevance and quality of her research contributions. Her citation profile suggests that multiple publications have achieved sustained academic engagement rather than isolated recognition. Overall, the combination of her document count, citation performance, and h-index highlights a solid and developing research footprint, characterized by methodological rigor, policy relevance, and interdisciplinary appeal. Dr. Opeyemi Faronbi’s bibliometric indicators reflect a promising academic profile with clear potential for continued growth, broader international recognition, and increasing influence within her research domains.

Citation Metrics (Scopus)

40
30
20
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36

Documents
8

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4

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Causal Nexus Between Agricultural Credit Rationing and Repayment Performance: A Two-Stage Tobit Regression


– AIMS Agriculture and Food


Economic Performance of Smallholder Soya Bean Production in Kwara State, Nigeria


– Open Agriculture


Land Tenure, Land Use Antecedents, and Willingness to Embrace Resilient Farming Practices Among Smallholders in Nigeria


– Frontiers in Sustainable Food Systems


Potential of Tithonia diversifolia and Biofertilizers on Soil Physiochemical Properties, Growth, Yield and Mineral Composition of Okra (Abelmoschus esculentus)


– Research on Crops


Effects of Climate Change on Grain Productivity in Nigeria (1970–2014)


– IOP Conference Series: Earth and Environmental Science

Yousra Mukhtar | Agricultural | Best Researcher Award

Dr.Yousra Mukhtar | Agricultural | Best Researcher Award

Dr. Yousra Mukhtar | Sher-e-Kashmir University of Agricultural Sciences and Technology | India

Dr. Yousra Mukhtar is a dedicated entomologist specializing in Integrated Pest and Pollinator Management (IPPM) and pollinator ecology, with significant expertise in insect biodiversity assessment and sustainable pest control strategies. Her research has documented 75 non-Apis bee species, including over 30 first records from the northwestern Himalayas of India, enriching knowledge on native pollinator diversity and ecosystem services. She has authored more than 30 peer-reviewed publications focusing on pest dynamics, pollinator behavior, and eco-friendly pest management approaches that enhance agroecosystem resilience. As a researcher and educator, she has contributed to advancing understanding of the interlinkages between pollination ecology and integrated pest management, promoting environmentally sustainable agricultural practices. Her scholarly contributions are recognized through 13 research documents, 19 citations, and an h-index of 2, reflecting her growing academic impact. Beyond research, she has actively engaged in scientific communities through leadership roles, conference presentations, and peer-review activities for reputed international journals. Dr. Mukhtar’s work exemplifies a strong commitment to pollinator conservation, biodiversity monitoring, and the development of sustainable IPM strategies that align with global goals for agricultural sustainability and environmental stewardship.

Profiles: Scopus  | Orcid

Featured Publications

Mukhtar, Y., & Shankar, U. (2025). Pest management practices impact Helicoverpa armigera infestation and foraging behaviour of pollinators in sunflower. International Journal of Pest Management.

Mukhtar, Y., & Shankar, U. (2025). Expanding Megachile diversity: First record of nine Megachile species (Hymenoptera: Megachilidae) from Jammu, India and the broader North-Western Himalayas. Oriental Insects.

Mukhtar, Y., & Shankar, U. (2025). Non-Apis bee diversity in Jammu, India, with first records from the region and the northwestern Himalayas. National Academy Science Letters.

Mukhtar, Y., & Shankar, U. (2024). Harmonizing pest control and beneficial organism conservation in sunflower ecosystems through integrated pest management. Journal of Plant Diseases and Protection.

Marzena Matejczyk | Agricultural | Soil Toxicology Research Award

Assist. Prof. Dr. Marzena Matejczyk | Agricultural | Soil Toxicology Research Award

Assist. Prof. Dr. Marzena Matejczyk | Bialystok University of Technology | Poland

Dr. Marzena Matejczyk is a distinguished environmental biotechnologist whose research focuses on the toxicity and genotoxicity of pharmaceuticals and their environmental impact on microbial systems. Her work integrates microbiology, environmental chemistry, and molecular biology to evaluate the ecological risks posed by pharmaceutical contaminants in wastewater. With a robust publication record of 38 scientific documents, she has contributed significantly to advancing knowledge on microbial responses to toxic substances, particularly using Escherichia coli and Pseudomonas putida as model organisms. Her studies have provided valuable insights into the mechanisms of genetic stress and biochemical alterations induced by emerging pollutants. Dr. Matejczyk has authored and co-authored numerous research papers in high-impact journals indexed in the Journal Citation Reports and several chapters in scientific monographs. Her research excellence is reflected in her strong citation metrics, with a total of 1,322 citations, including 1,272 from external sources, and an h-index of 12, demonstrating both the visibility and influence of her scientific contributions. Beyond her publications, she has actively participated as a co-principal investigator in multiple national research grants, contributing to the development of innovative approaches for environmental monitoring and sustainable management of wastewater pollutants.

Profiles: Scopus | Orcid

Featured Publications

Matejczyk, M., Swislocka, R., Golonko, A., Lewandowski, W., & Hawrylik, E. (2018). Cytotoxic, genotoxic and antimicrobial activity of caffeic and rosmarinic acids and their lithium, sodium and potassium salts as potential anticancer compounds. Advances in Medical Sciences, 63(1), 14–21.

Hawrylik, E., & Matejczyk, M. (2018). Escherichia coli-Lux biosensor used to monitor the cytotoxicity and genotoxicity of pharmacological residues in the environment. Journal of Ecological Engineering, 19(3), 5–12.

Matejczyk, M., Swiderski, G., Swislocka, R., Rosochacki, S. J., & Lewandowski, W. (2018). Seleno-L-methionine and L-ascorbic acid differentiate the biological activity of doxorubicin and its metal complexes as new anticancer drug candidates. Journal of Trace Elements in Medicine and Biology, 49, 91–97.

Kalinowska, M., Bajko, E., Matejczyk, M., Kaczyński, P., Łozowicka, B., & Lewandowski, W. (2018). The study of anti-/pro-oxidant, lipophilic, microbial and spectroscopic properties of new alkali metal salts of 5-O-caffeoylquinic acid. International Journal of Molecular Sciences, 19(2), 463.

Matejczyk, M., Swislocka, R., Kalinowska, M., Swiderski, G., Lewandowski, W., Jabłońska-Trypuć, A., & Rosochacki, S. J. (2017). In vitro evaluation of biological activity of cinnamic, caffeic, ferulic and chlorogenic acids with use of Escherichia coli K-12 recA::gfp biosensor strain. Acta Poloniae Pharmaceutica, 74(2), 585–593.

Matejczyk, M., Swislocka, R., Kalinowska, M., Swiderski, G., Lewandowski, W., & Jabłońska-Trypuć, A. (2017). Monitoring of synergistic enhancement of caffeic acid on Escherichia coli K-12 recA::gfp strain treated with dacarbazine. Acta Poloniae Pharmaceutica, 74(2), 594–600.

Sandeep Bhatia | Soil Fertility | Sustainable Soil Practices Award

Dr. Sandeep Bhatia | Soil Fertility | Sustainable Soil Practices Award

Dr. Sandeep Bhatia | Galgotias University | India

Dr. Sandeep Bhatia is an accomplished academician and researcher serving as an Associate Professor in the field of Computer Science and Engineering, with extensive expertise in the Internet of Things (IoT), Embedded Systems, Microcontrollers, Sensors, and AI/ML applications. His research primarily focuses on smart agriculture, IoT-driven automation, and embedded system design, integrating advanced sensor networks and intelligent computing techniques for sustainable development. With a prolific research portfolio of 45 published documents, 439 citations, and an h-index of 12, he has made significant contributions to the advancement of IoT-based intelligent systems. Dr. Bhatia has authored multiple books, book chapters, and presented papers in reputed international and national conferences, along with several patents in innovative embedded solutions. He has developed a MOOC course titled Microcontroller and Embedded Systems Design, broadcasted through digital learning platforms to enhance student accessibility and engagement. As a reviewer and organizer of conferences, workshops, and FDPs, he actively promotes academic collaboration and technological innovation. His professional achievements reflect a commitment to bridging research, teaching, and real-world applications in IoT and embedded system domains, fostering next-generation solutions for digital and sustainable transformation.

Profiles:  Scopus | Orcid

Featured Publications

Bhatia, S., Ashraf, G., Naib, B. B., & Gautam, D. (2024). An intelligent credit card fraud detection using a classification algorithm. In Innovations in Data Analytics: Selected Papers of ICIDA (Lecture Notes in Networks and Systems, Vol. 972).

Bhatia, S., Mallikarjun, B., Goel, N., Dandeva, D., Sharma, N., & Naib, B. B. (2024). Detection of posture using MS-IoT-based solution to provide timely treatment. In Identifying, Treating, and Preventing Childhood Trauma in Rural Communities. IGI Global.

Bhatia, S., Naib, B. B., Goel, N., Agarwal, B., Mallikarjun, B., & Arvindhan, M. (2024, February). A new era in weather forecasting: Harnessing the potential of machine learning. In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). IEEE.

Bhatia, S., Bhadauria, R. V. S., Mehrotra, K., Malik, J., Goel, A. K., & Naib, B. B. (2023). A comparative analysis and design criteria of MAC, SMAC, and TMAC protocols in wireless sensor network. In Proceedings of the 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023). IEEE.

Bhatia, S., Goel, N., Ahlawat, V., Naib, B. B., & Singh, K. (2023). A comprehensive review of IoT reliability and its measures. In Resource Management and Efficiency in Cloud Computing Environments. IGI Global.

Bhatia, S., Mallikarjun, B., Naib, B. B., & Goel, A. K. (2023). Algo-indicator based trading in stock market. In Proceedings of the 4th International Conference on Smart Electronics and Communication (ICOSEC 2023). IEEE.

Bhatia, S., Gautam, D., Kumar, S., & Verma, S. (2023). Automatic seat identification system in smart transport using IoT and image processing. In Proceedings of the 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT 2023). IEEE.

Bhatia, S., Naib, B. B., & Ashraf, G. (2023). Credit card fraud detection using classification algorithm. TechRxiv.

Bhatia, S., Jaffery, Z. A., & Mehfuz, S. (2023). Development and analysis of IoT-based smart agriculture system for heterogeneous nodes. In 2023 International Conference on Recent Advances in Electrical, Electronics and Digital Healthcare Technologies (REEDCON 2023). IEEE.

Bhatia, S. (2023). Development of IoT enabled framework for LPG gas leakage detection and weight monitoring system. IEEE Conference Publication.