Liming Zhang | Agricultural Science | Best Researcher Award

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Assoc. Prof. Dr. Liming Zhang | Agricultural Science | Best Researcher Award

Assoc. Prof. Dr. Liming Zhang, Hainan University, China

Assoc. Prof. Dr. Liming Zhang is a food science researcher at Hainan University, China. She specializes in the development of bioactive and nanoparticle-enhanced films for food packaging, with a focus on controlled release of natural preservatives and quality maintenance during storage. Dr. Zhang holds a Ph.D. in Food Science and Engineering from Jiangnan University and has conducted extensive research on the application of active packaging in perishable food products like freshwater fish and mushrooms. Her work contributes to advancing sustainable and functional food preservation technologies.

Profile

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Summary:

Dr. Liming Zhang has built a solid foundation in food packaging and preservation research. Her studies on active films and their role in texture stabilization and microbial control represent a significant contribution to sustainable food technologies. Her research is well-timed, methodologically sound, and addresses major global food safety and quality issues.

🎓 Education

Zhang Liming holds a Ph.D. in Food Science and Engineering from Jiangnan University, where she studied from September 2020 to June 2024 under the School of Food Science and Technology. She previously earned her Master’s degree in Food Engineering at Shandong University of Technology between September 2017 and December 2019. Her academic journey began with a Bachelor’s degree in Food Quality and Safety from Hebei Normal University of Science and Technology, completed between September 2013 and July 2017.

💼Experience

Currently serving as an Associate Researcher in the Department of Food Science and Engineering at Hainan University, Zhang Liming is engaged in advanced research in food preservation technologies. Her recent work has focused on the development of nanoparticle-enhanced bioactive films designed for the controlled co-delivery of bioactive compounds. These innovative films are engineered with specific physicochemical properties and release profiles. Additionally, she has conducted extensive research on the impact of active packaging films on the quality maintenance of refrigerated freshwater fish and mushrooms during storage, aiming to enhance shelf life and safety.

🔬Research Focus

Her research is centered on the application of nanotechnology and functional films in food packaging systems. She emphasizes the design of environmentally friendly and efficient delivery methods for natural preservatives, aiming to reduce food spoilage and extend product shelf life. This work contributes to sustainable food packaging solutions that align with global food safety and environmental goals.

🛠️Skills

Zhang Liming possesses deep technical expertise in bioactive packaging materials, nanotechnology in food systems, and food preservation methods. Her skills span the formulation and characterization of edible films, analysis of physicochemical and microbiological properties in food storage, and the integration of bioactive compounds into smart delivery systems. She is proficient in laboratory research techniques, data analysis, and interdisciplinary collaboration in food science domains.

🏆Awards

Zhang Liming has earned recognition for her contributions to food science research, particularly in the field of active packaging and food preservation. Her innovative approach to material development and practical application in food safety has gained academic and professional acknowledgment, positioning her as a promising researcher in the field.

📚 Publications

  • Title: Comprehensive characterization of cold plasma/nanoparticles-functionalized gelatin active film and its application in tilapia fillets
    Authors: Liming Zhang
    Year: 2025
    Journal: Food Research International

  • Title: Label-free quantitative proteomics to exploit the impact of active films on texture stabilization of refrigerated carp fillets
    Authors: Liming Zhang
    Year: 2025
    Journal: Food Chemistry

Conclusion:

Assoc. Prof. Dr. Liming Zhang is a highly suitable candidate for the Research for Best Researcher Award. Her innovative and applied research, growing publication record, and commitment to advancing food science position her as a promising leader in her field. With greater emphasis on global collaborations and visibility, she is poised to make an even broader impact in the future.

Yuan Song | Agricultural | Best Researcher Award

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Prof. Dr. Yuan Song | Agricultural | Best Researcher Award

Prof. Dr. Yuan Song, Lanzhou University, China

Prof. Dr. Yuan Song is an Associate Professor at the School of Life Sciences, Lanzhou University, China. He holds a PhD in Botany and completed joint training at Agriculture and Agri-Food Canada. His research focuses on molecular biology, epigenetics, and model plants. With over a decade of teaching and research experience, he has guided multiple graduate students and received awards for excellence in innovation and undergraduate mentorship.

Profile

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Summary:

Prof. Dr. Yuan Song is a dedicated researcher with a strong background in plant molecular biology and epigenetics. His research addresses pressing issues in plant stress tolerance through innovative approaches in metabolic regulation. He has shown leadership in education and has made significant scientific contributions, particularly in understanding plant cold stress responses.

🎓 Education

Prof. Dr. Yuan Song holds a PhD in Botany from Lanzhou University, which he earned between 2007 and 2010. During this period, he also engaged in a Joint Training PhD program at Agriculture and Agri-Food Canada, London Research and Development Centre, from October 2007 to November 2009. Prior to his doctoral studies, he completed his Master’s degree in Botany at Lanzhou University from 2004 to 2007. He began his academic journey with a Bachelor’s degree from Gansu Agricultural University, where he studied from 1999 to 2003.

💼Experience

Dr. Yuan Song has been serving as an Associate Professor at the School of Life Sciences, Lanzhou University, since May 2017. Prior to this, he worked as a Lecturer in the same institution for a decade, from July 2007 to May 2017. His long-standing academic involvement reflects his dedication to teaching and research in the field of life sciences.

🔬Research Focus

Prof. Dr. Yuan Song’s research is rooted in the fields of molecular biology, epigenetics, and plant science. His work emphasizes the molecular mechanisms in model plants, contributing to advancements in plant biology and biotechnology.

🛠️Skills

Dr. Yuan Song specializes in delivering advanced courses such as Epigenetics, Molecular Biology, and Model Plants. He has demonstrated strong mentorship abilities by supervising one doctoral student and eight master’s students, contributing to the academic growth of young researchers.

🏆Awards

He has received notable recognition for his contributions to education and innovation. In 2015, he was honored as the Outstanding Innovation and Entrepreneurship Project Instructor by Lanzhou University. In 2017, he was recognized as the Outstanding Undergraduate Thesis Supervisor, showcasing his excellence in academic mentorship.

📚 Publications

Title: The AtHDA6-AtSK2 module promotes cold tolerance by enhancing shikimate metabolism and antioxidant activity
Year: 2025
Journal: The Plant Journal

Conclusion:

Prof. Dr. Yuan Song is well-suited for the Research for Best Researcher Award due to his high-impact research, academic leadership, and mentoring record. Strengthening international collaborations and research funding visibility would further elevate his candidacy. Overall, he embodies the qualities of a forward-looking, impactful researcher in plant science.

Belen Araceli Kettler | Agriculture | Best Researcher Award

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Dr. Belen Araceli Kettler | Agriculture | Best Researcher Award

Dr. Belen Araceli Kettler, National University of Northeast, Argentina

Dr. Belén Araceli Kettler is an Assistant Professor at the Faculty of Agrarian Sciences, National University of the Northeast, Argentina. Her research focuses on crop physiology, particularly the effects of abiotic stress on maize growth and productivity. With a strong background in natural resources and plant production, she has been actively involved in national and international research collaborations, including a current research fellowship at Kansas State University. Dr. Kettler has contributed to several peer-reviewed publications and research projects in partnership with academic institutions and private agribusiness companies, and she is recognized for her analytical expertise, teamwork, and commitment to advancing agricultural science.

Profile

Scopus

Summary:

Dr. Belén Araceli Kettler is a highly capable and accomplished researcher specializing in crop physiology with a particular focus on abiotic stress impacts on maize production. Her academic trajectory, extensive research involvement, peer-reviewed publications, and international collaborations underscore her scientific excellence and dedication. She combines strong analytical skills with practical applications, bridging fundamental research and agronomic challenges in subtropical Argentina. Her commitment to teaching and mentoring also contributes significantly to capacity building in her field.

🎓 Education

Dr. Belén A. Kettler is currently completing her Doctorate in Natural Resources with a specialization in Crop Physiology at the Faculty of Agrarian Sciences, National University of Northeast, Corrientes, Argentina, under the mentorship of Dr. C. S. Carrera and Dr. N. Neiff. She holds a Bachelor’s degree in Agricultural Engineering from the same university and began a Master’s in Plant Production, which she discontinued after being offered a doctoral position. Over her academic journey, she has undertaken numerous specialized courses, consistently achieving distinguished or excellent marks.

💼Experience

Dr. Kettler has extensive academic and research experience. She has served as an Assistant Professor at the Faculty of Agrarian Sciences, National University of Northeast since January 2019. Her international experience includes a research scholar position at Kansas State University in the United States, beginning in May 2025. She has held multiple research fellowships through CONICET and the Scientific and Technical Commission of her home university. These roles span from undergraduate to doctoral research, focusing on crop physiology, environmental stress impacts, and ecophysiology.

🔬Research Focus

Her research focuses on the physiological and ecophysiological responses of crops, particularly maize, to abiotic stresses such as high temperatures and drought. Her work investigates how these stressors impact growth, yield components, kernel development, respiration, and dry matter allocation. She has collaborated with international partners and contributed to breeding and modeling research, including QTL analysis and genomic prediction under stress conditions.

🛠️Skills

Dr. Kettler possesses strong teamwork capabilities and a high level of analytical thinking. She is proficient in statistical software such as Infostat, R Studio, GraphPad Prism, and Microsoft Excel. Her skill set also includes intermediate-level knowledge in crop modeling systems like DSSAT and APSIM. She demonstrates a strong commitment to continuous learning and applies critical thinking to research and teaching.

🏆Awards

Dr. Kettler has been supported by national and university-level research fellowships, including those from CONICET and the Scientific and Technical Commission of the National University of Northeast. She has also contributed to several funded research projects, notably on oxidative stress in crops, physiological responses to environmental stressors, and conservation studies of vascular plants.

📚 Publications

Title: Climatic constraints for rainfed maize production in the Northeastern subtropical region of Argentina
Year: 2025
Authors: Kettler, B. A., Nalli Sonzogni, F. D., Neiff, N., Boscarino, S., Maddonni, G. Á.
Journal: Theoretical and Applied Climatology

Conclusion:

Dr. Kettler is a well-qualified candidate for the Best Researcher Award due to her consistent research excellence, international engagement, and impactful contributions to crop science. Addressing areas such as increased leadership visibility and interdisciplinary approaches could further elevate her candidacy. Overall, she embodies the qualities of an outstanding researcher with both scientific rigor and practical relevance, making her highly suitable for recognition as a Best Researcher.

Lei Zhang | Agriculture | Best Researcher Award

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Prof. Dr. Lei Zhang | Agriculture | Best Researcher Award

Prof. Dr. Lei Zhang, Zhejiang Sci-Tech University, China

Prof. Dr. Lei Zhang is a Professor at the School of Mechanical Engineering, Zhejiang Sci-Tech University, China, and a Visiting Scholar at the Robotics Laboratory of Texas State University. He holds a Doctor of Engineering in Mechatronics from the Chinese Academy of Sciences and specializes in mechanism synthesis, agricultural machinery, and robotics. With leadership in numerous national and provincial research projects, he has published over 40 academic papers and holds more than 70 patents. He is an active member of IEEE and serves as an editor and reviewer for several international journals.

Profile

Scopus

Summary:

Prof. Dr. Lei Zhang’s extensive research in mechatronics, agricultural machinery, and robotics has positioned him as a leader in his field. His ability to integrate complex engineering solutions with real-world applications is exemplified by his numerous patents, high-impact publications, and successful project leadership. As a professor at Zhejiang Sci-Tech University and a visiting scholar at Texas State University, he continues to influence the next generation of engineers and researchers. His contributions not only advance technical knowledge but also promote innovation in sustainable agricultural practices and automation.

🎓 Education

Lei Zhang holds a Doctor of Engineering degree in Mechatronics Engineering from the Shenyang Research Institute of Automation, Chinese Academy of Sciences. He earned his Master’s degree in Mechatronics Engineering from the College of Mechanical Engineering and Applied Electronics Technology, Beijing Polytechnic University, and a Bachelor’s degree in Mechanical Design and Manufacturing from the School of Mechanical Engineering, Shandong University of Technology.

💼Experience

Lei Zhang is a Professor at the School of Mechanical Engineering, Zhejiang Sci-Tech University, where he has served since 2008 in various academic roles including Lecturer, Associate Professor, and Master’s Supervisor. He is also a Visiting Scholar at the Robotics Laboratory of Texas State University. Earlier in his career, he worked as an Assistant Lecturer at Shandong Second Vocational College.

🔬Research Focus

Lei Zhang’s research focuses on mechanism synthesis, agricultural machinery, and robotics. He has led and participated in multiple high-level research projects, including a sub-project under the National Key Research and Development Program of the 14th Five-Year Plan, two National Natural Science Foundation of China projects, and several initiatives sponsored by provincial departments and industry partners. His work has led to the publication of over 40 academic papers, with more than 30 indexed by SCI and EI.

🛠️Skills

Professor Zhang possesses extensive expertise in mechanism synthesis, agricultural machinery equipment, and robot technology. His technical strengths are further demonstrated by his portfolio of over 40 invention patents and 36 utility model patents. He is highly skilled in managing and executing research projects and has successfully led numerous national and provincial-level research initiatives as well as enterprise-commissioned projects.

🏆Awards

Lei Zhang has received multiple prestigious awards in recognition of his contributions to science and technology. He was awarded the Second Prize in the Zhejiang Provincial Science and Technology Progress Award in 2017 for his work on adjustable-presser-foot thread-breakage-responsive wide-format embroidery machines. In 2021, he earned the Third Prize in the same award category for the development and industrial application of multi-head wide-format ultra-high-speed embroidery equipment.

📚 Publications

Title: Lightweight Classification of Lotus Seedpod Quality Using Improved YOLOv3-Tiny Model
Authors: L. Zhang; H. Yan; Y. Jia; B. Ye; Z. Ma
Year: 2024
Journal: Nongye Gongcheng Xuebao / Transactions of the Chinese Society of Agricultural Engineering

Title: Analysis and Optimization of Low-Resistance Animal Bionic Subsoiling Shovel Based on EDEM
Authors: L. Zhang; X. Wang; J. Chen; H. Wang; Y. Cao
Year: 2024
Journal: Agriculture (Switzerland)

Title: Optimization Design and Experiment of Cam-Elliptical Gear Combined Vegetables Curved Surface Labeling Mechanism
Authors: L. Zhang; H. Zhou; J. Chen; Y. Liu; X. Zhang
Year: 2024
Journal: Frontiers in Robotics and AI

Conclusion:

Prof. Dr. Lei Zhang’s excellence in research, patent contributions, and project leadership makes him a strong contender for the Best Researcher Award. His groundbreaking work in agricultural machinery and robotics showcases his potential to drive further advancements in technology that address real-world challenges. While opportunities for greater global collaboration and outreach exist, Prof. Zhang’s current body of work undeniably positions him as a leading researcher, deserving recognition for his innovative contributions to both academia and industry.

Kaywan Ahmed | Agricultural Science | Best Researcher Award

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Dr. Kaywan Ahmed | Agricultural Science | Best Researcher Award

Dr. Kaywan Ahmed, Tishk International University, Iraq

Dr. Kaywan Ahmed is a researcher and assistant lecturer at Tishk International University, Iraq. His expertise lies in civil engineering, with a focus on hydraulic structures, water resources, and environmental sustainability. He has taught various engineering courses and held multiple administrative roles, including Coordinator of the Civil Engineering Department and Head of the Exam Committee. His research explores soil-water interactions, scour prediction, and the application of GIS in environmental management. Dr. Ahmed has published extensively in international journals and actively contributes to academic conferences and innovation in engineering education.

Profile

Scopus

 

Summary:

Dr. Kaywan Ahmed’s strong academic and professional contributions to civil engineering, particularly in water management and environmental sciences, make him a deserving candidate for the Best Researcher Award. His innovative research in predicting water quality and the impact of infrastructure on the environment is vital for sustainable development in the field of civil engineering.

🎓 Education

Kaywan Ahmed completed his B.Sc. in Civil Engineering at Tishk International University, Erbil, in 2015. He then pursued a Master’s degree (MSc) in Civil Engineering with a specialization in Water Supply and Hydraulic Structures at Gaziantep University, Turkey, from 2016 to 2018. Currently, he is a Ph.D. candidate at KNTU University in Tehran.

💼Experience

Kaywan has extensive experience in academia and civil engineering. He has been an Assistant Lecturer at Tishk International University since 2018, teaching courses such as Fluid Mechanics, Hydraulic Engineering, Water Resources, and Water Supply and Sewerage Systems. He has held multiple administrative roles, including Coordinator of the Civil Engineering Department, Head of the Exam Committee, and Interim Head of the International Relations and Diplomacy Department. His responsibilities have included supervising MSc students, managing academic activities, and supporting international collaborations. Before his academic career, he gained hands-on experience as an Assistant Engineer at Zozik Company and as a Volunteer at Qaiwan Company, where he was involved in construction projects, data collection, and technical support.

🔬Research Focus

Kaywan’s research primarily revolves around hydraulic engineering, water supply systems, and environmental sustainability. His published work includes studies on scour prediction at culvert outlets, the impact of COVID-19 on water consumption, and the use of waste materials in construction. He is currently working on several research projects, including the application of Remote Sensing and GIS in waste management, public attitudes toward environmental issues, and predictive modeling of hydraulic structures. His contributions to scientific literature demonstrate his commitment to advancing civil engineering and environmental sustainability.

Awards

Kaywan has been recognized for his academic excellence, ranking second out of 64 students in his Civil Engineering undergraduate program. He has received certificates for his participation in multiple international engineering conferences and was awarded second place in the Fifth National Innovation Competition in Engineering for his contributions with students. His leadership and research contributions have been acknowledged in various academic and professional circles.

Skills

Kaywan possesses strong research and management skills, with expertise in data analysis, project coordination, and technical problem-solving. He is proficient in multiple software applications, including Microsoft Office, AutoCAD, ETABS, Flow-3D, SPSS, and Water CAD. Additionally, he has hands-on experience with surveying tools such as Total Station, Theodolite, and Level instruments. His ability to communicate effectively, both in writing and orally, has been instrumental in his academic and professional success.

 

Publications

  • Title: Forecasting of monthly air quality index and understanding the air pollution in the urban city, India based on machine learning models and cross-validation
    Authors: C.B. Pande, Chaitanya Baliram; N. Radwan, Neyara; S. Heddam, Salim; S.C. Pal, Subodh Chandra; M.K. Pramanik, Malay Kumar
    Journal: Journal of Atmospheric Chemistry
    Year: 2025

 

  • Title: An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies
    Authors: M. Alizamir, Meysam; K. Moradveisi, Kayhan; K.O. Ahmed, Kaywan Othman; S. Kim, Sungwon; S. Heddam, Salim
    Journal: Expert Systems with Applications
    Year: 2025

 

Conclusion:

Dr. Kaywan Ahmed’s research has the potential to significantly impact environmental engineering, particularly in the sustainable design and operation of water management systems. His dedication to advancing knowledge in his field, coupled with his leadership skills, positions him as a top contender for the Best Researcher Award.

Muhammad Amin | Geostatistics in Soil Science | Best Researcher Award

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Dr. Muhammad Amin | Geostatistics in Soil Science | Best Researcher Award

 Dr. Muhammad Amin, Department of Statistics, Pakistan

Dr. Muhammad Amin is an Associate Professor in the Department of Statistics at the University of Sargodha, Pakistan. He holds a Ph.D. in Statistics from Bahauddin Zakariya University, Multan. His research interests include Regression Analysis, Generalized Linear Models, Influence Diagnostics, and Statistical Learning. Dr. Amin has supervised numerous M.Phil. students and co-supervised Ph.D. research scholars. With over 90 research papers and significant citations, he has made valuable contributions to applied statistics. He is also skilled in various statistical software tools such as R, Matlab, SPSS, and Minitab.

Profile

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Google Scholar

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Summary:

Dr. Muhammad Amin is a highly accomplished Associate Professor in the Department of Statistics at the University of Sargodha, Pakistan, with a strong academic background and an impressive record of research in statistical methods. His expertise, leadership in research supervision, and contributions to the field of applied statistics make him a strong candidate for the Research for Best Researcher Award.

 

🎓 Education

Dr. Muhammad Amin holds a Ph.D. in Statistics from Bahauddin Zakariya University, Multan, Pakistan (2016), an M.Phil. in Statistics from the same university (2011), and an M.Sc. in Statistics (2006). He completed his B.Sc. from Bahauddin Zakariya University in 2004, and his HSSC and SSC from BISE, Multan in 2002 and 1998, respectively.

 

💼Experience

Dr. Amin is currently an Associate Professor at the Department of Statistics, University of Sargodha, since July 2024. He previously served as an Assistant Professor at the same department from January 2018 to July 2024 and was the Incharge of the department from May 2019 to December 2021. Before his academic career, he worked as a Lecturer at Govt. College for Boys Makhdoom Aali, Lodhran (2009-2018) and a Visiting Lecturer at Bahauddin Zakariya University (2010-2018). He also worked as a Six Sigma Executive at Mehr Dastagir Group of Industries PVT. Ltd. in Multan from 2006 to 2008.

 

🔬Research Focus

Dr. Muhammad Amin’s research interests lie in Regression Analysis, Generalized Linear Models, Influence Diagnostics, Biased Estimation Methods, Statistical Learning, and Applied Statistics. His work has contributed significantly to the fields of statistical methods and their applications.

 

Awards

Dr. Amin was a Gold Medalist in his M.Phil. Statistics program. He has also gained significant recognition through his research output, with 93 research papers, 1249 citations, an h-index of 20, and an i10-index of 34.

Skills

Dr. Amin is proficient in a variety of statistical software tools, including R, Mathematica, Matlab, JMP, Minitab, SPSS, Statgraphics, and Sigma XL. These tools are integral to his work in statistical analysis and modeling.

 

Publications

  • New ridge parameter estimators for the quasi-Poisson ridge regression model
    • Shahzad, A., Amin, M., Emam, W., Faisal, M.
    • Published in Scientific Reports, 2024, 14(1), 8489

 

  • Stein estimation in the Conway-Maxwell Poisson model with correlated regressors
    • Sami, F., Amin, M., Aljeddani, S.M.A.
    • Published in International Journal of Advanced and Applied Sciences, 2024, 11(7), pp. 49–56

 

  • Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model
    • Amin, M., Ashraf, B., Siddiqa, S.M.
    • Published in Journal of Statistical Theory and Applications, 2024

 

  • A ridge estimation method for the Waring regression model: simulation and application
    • Noor, A., Amin, M., Amanullah, M.
    • Published in Communications in Statistics: Simulation and Computation, 2024

 

  • Exploring Spatial Variability and Yield-Determining Factors in Cotton Production: A Multivariate Analysis
    • Afzal, S., Hayat, A., Amin, M., Afzal, A., Gardezi, S.
    • Published in Communications in Soil Science and Plant Analysis, 2024, 55(20), pp. 3117–3132

 

  • Performance of Alternative Estimators in the Poisson-Inverse Gaussian Regression Model: Simulation and Application
    • Ashraf, B., Amin, M., Mahmood, T., Faisal, M.
    • Published in Applied Mathematics and Nonlinear Sciences, 2024, 9(1), 20241493

 

  • New ridge parameter estimators for the zero-inflated Conway Maxwell Poisson ridge regression model
    • Ashraf, B., Amin, M., Akram, M.N.
    • Published in Journal of Statistical Computation and Simulation, 2024, 94(8), pp. 1814–1840

Conclusion:

Dr. Amin’s achievements and ongoing contributions to the field of statistics position him as an exemplary researcher in his field. His extensive publication record, mentoring capabilities, and proficiency in statistical software make him a deserving candidate for the Research for Best Researcher Award. By addressing potential areas for improvement, such as expanding international collaborations and engaging in emerging research fields, he can further elevate his impact in the academic community.