Assoc. Prof. Dr Mohsen Edalat | Machine Learning | Best Researcher Award |

Assoc. Prof. Dr. Mohsen Edalat | Machine Learning | Best Researcher Award | 

Associate Professor, at School of Agriculture, Shiraz University, Iran.

Assoc. Prof. Dr. Mohsen Edalat is a highly motivated agronomist, researcher, and academic leader with over 20 years of experience in crop production, farm management, and sustainable agriculture. He has a strong background in agronomy, crop breeding, greenhouse management, and precision agriculture. As an Associate Professor and Senior Farm Manager, he has successfully integrated scientific research with practical applications, optimizing crop yields, genetic selection, and agricultural sustainability. His innovative work in medicinal plant domestication and startup entrepreneurship has contributed significantly to agronomic advancements.

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Education 🎓

Ph.D. in Agronomy (2007-2010) – Shiraz University, Iran

M.Sc. in Agronomy (2002-2005) – Shiraz University, Iran

B.Sc. in Agronomy (1993-1997) – Shiraz University, Iran

Professional Experience 💼

Associate Professor, Crop Production & Breeding Dept., Shiraz University (2017–Present)

Senior Farm Manager, Research & Commercial Production (1999–2023) – Managed a 500 ha farm

Dean, School of Agriculture, Shiraz University (2018–2020)

Vice Dean for Financial & Administrative Affairs, Shiraz University (2014–2018)

Assistant Professor, Crop Production & Breeding Dept. (2011–2017)

Lecturer, Shiraz University (1999–2011)

Research Interests 🌍

Dr. Edalat’s research primarily focuses on crop growth modeling, plant breeding, precision agriculture, and sustainable farming practices. He has expertise in mathematical modeling of plant growth, experimental designs, weed science, and data-driven agronomy. His work has also extended to machine learning applications in agriculture, with studies on species distribution modeling, seed viability, and climate-adaptive cropping systems.

Awards & Honors 🏆

Exemplar Faculty Member, Shiraz University (2018) – Voted by students and faculty

Founder of MAYSA PARS GREENTECH (2022) – A startup focused on medicinal herb breeding and production

Developed a New Domestication Procedure (2020) – Successfully domesticated Zataria multiflora (endangered medicinal plant)

Record Agricultural Yields (2020 & 2021) – Achieved 122 tons/ha silage corn and 7,600 kg/ha winter wheat

Scholarship Recipient – Iranian Ministry of Science for Visiting Research at Melbourne University (2010)

Top 5% Student Ranking – B.Sc., M.Sc., and Ph.D.

Top Noted Publications 📚

Assessing and Mapping Multi-Hazard Risk Susceptibility Using a Machine Learning Technique
Authors: H.R. Pourghasemi, N. Kariminejad, M. Amiri, M. Edalat, M. Zarafshar, et al.
Journal: Scientific Reports
Citations: 212
Year: 2020

Is Multi-Hazard Mapping Effective in Assessing Natural Hazards and Integrated Watershed Management?
Authors: H.R. Pourghasemi, A. Gayen, M. Edalat, M. Zarafshar, J.P. Tiefenbacher
Journal: Geoscience Frontiers
Citations: 115
Year: 2020

The Impact of Nitrogen and Organic Matter on Winter Canola Seed Yield and Yield Components
Authors: S.A. Kazemeini, H. Hamzehzarghani, M. Edalat
Journal: Australian Journal of Crop Science
Citations: 76
Year: 2010

Interaction Effects of Deficit Irrigation and Row Spacing on Sunflower (Helianthus annuus L.) Growth, Seed Yield, and Oil Yield
Authors: S.A. Kazemeini, M. Edalat, A. Shekoofa
Journal: African Journal of Agricultural Research
Citations: 69
Year: 2009

Corn Nitrogen Management Using NDVI and SPAD Sensor-Based Data Under Conventional vs. Reduced Tillage Systems
Authors: M. Edalat, R. Naderi, T.P. Egan
Journal: Journal of Plant Nutrition
Citations: 60
Year: 2019

Conclusion

Dr. Mohsen Edalat is a strong candidate for a Best Researcher Award, given his leadership, practical achievements in agriculture, research contributions, and teaching excellence. Strengthening his publication record, international collaborations, and patents would further enhance his competitiveness.

Prof Wenyan Zhang | Photocatalyst | Innovation Catalyst Award |

Prof. Wenyan Zhang | Photocatalyst | Innovation Catalyst Award | 

Professor , at Jinling Institute of Technology, China.

Prof. Wenyan Zhang is a distinguished researcher and professor in Material Science, specializing in catalysis, renewable energy, and sustainable materials. With over 12 years of academic and research experience, she has made significant contributions to electrochemical water oxidation, photocatalysis, and hydrogen evolution. Her work focuses on transforming waste into energy-efficient solutions, bridging the gap between fundamental science and real-world applications.

Professional Profile

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Education 🎓

Prof. Zhang earned her Doctorate in Material Science (2012) and Bachelor’s degree in Materials Chemistry (2007) from Nanjing Tech University, China. Her academic journey laid a strong foundation in nanomaterials, catalysis, and green energy innovations.

Professional Experience 💼

She has been a Professor at Jinling Institute of Technology (2012–Present), shaping the next generation of researchers. Her international research exposure includes postdoctoral fellowships at the Weizmann Institute of Science (2018–2019) and the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences (2014–2017), where she contributed to groundbreaking studies in physical chemistry and catalysis.

Research Interests 🌍

Her research revolves around electrocatalysis, photocatalysis, and sustainable energy solutions. She has pioneered advancements in hydrogen evolution reactions (HER), oxygen evolution reactions (OER), and waste-to-energy transformation. Her work in catalyst engineering has significantly enhanced the efficiency of alkaline water electrolysis, offering practical solutions for clean energy development.

Awards & Honors 🏆

Prof. Zhang has been recognized for her outstanding contributions to material science and sustainable energy. She has received multiple accolades for her research excellence, reflecting her impact on advancing energy-efficient technologies.

Top Noted Publications 📚

Transforming Waste into Resource: Enhanced Hydrogen Evolution with Plasma-Treated Carbon Fiber
Wenyan Zhang, Weidong Tao, Yihan Wang, Wenjie Tian, Linyun Hao
Next Energy, 2025 | Citations: 0

Pushing the Operation Current Density of Alkaline Water Oxidation Above 1 A cm² via Electrocatalyst Engineering
Wenyan Zhang, Kunyan Wang, Lei Tan, Chao Lin, Wei Luo
Advanced Energy Materials, 2024 | Citations: 4

A Readily Synthesized ZnIn₂S₄/Attapulgite as a High-Performance Photocatalyst for Cr(VI) Reduction
Yuanyuan Wang, Yancheng Gong, Zhanlin Ma, Wenyan Zhang, Shijun Jia
Materials Science in Semiconductor Processing, 2024 | Citations: 2

Activating Montmorillonite for Light-Driven Hydrogen Evolution with the Coupling of Fe Species
Wenyan Zhang, Yihan Wang, Weidong Tao, Wenjie Tian, Lingyun Hao
ACS Applied Energy Materials, 2024 | Citations: 0

Unlocking OER Catalytic Potential and Chiral Fe₃O₄ Film as a Game-Changer for Electrochemical Water Oxidation Pathway and By-Product Control
Wenyan Zhang, Chaoqun Jiang, Hangmin Guan, Wenjie Tian, Lingyun Hao
Materials Advances, 2024 | Citations: 4

Conclusion

Dr. Wenyan Zhang is a strong candidate for the Research for Innovation Catalyst Award due to expertise in clean energy and catalytic materials, groundbreaking publications, and an impressive academic career. Strengthening the case with patents, industry collaborations, and innovation-driven grants would further enhance the chances of winning the award.

Prof. Dr Hongyu Mou | Materials Science | Best Researcher Award |

Prof. Dr. Hongyu Mou | Materials Science | Best Researcher Award | 

professor , at Qilu Institute of Technology, China.

Prof. Dr. Hongyu Mou is an esteemed researcher and Associate Professor at the College of Biological and Chemical Engineering, Qilu Institute of Technology, China. His expertise lies in green chemistry, catalysis, energy materials, and nanotechnology, with a focus on the design of deep eutectic solvents (DESs), photocatalysts, and electrocatalysts for sustainable energy applications. He holds a Ph.D. from Renmin University of China, a Master’s, and a Bachelor’s degree from Qingdao University of Science & Technology. Dr. Mou has secured multiple research grants, including funding from the National Natural Science Foundation of China and Shandong Province, and has been recognized as part of the Youth Innovation Team of Shandong Higher Education Institutions. His research has led to high-impact Q1 journal publications and multiple patents in advanced materials and sustainable energy solutions. As a leading scientist, he continues to drive innovation in hydrogen energy, biomass energy, and ammonia-based energy systems, making significant contributions to the future of green and renewable energy technologies.

Professional Profile

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Education 🎓

Prof. Dr. Hongyu Mou earned his Ph.D. from Renmin University of China (2017–2020), specializing in green chemistry and advanced nanomaterials. He completed his Master’s degree (2014–2017) and Bachelor’s degree (2009–2013) at Qingdao University of Science & Technology, where he built a strong foundation in catalysis, energy chemistry, and material synthesis.

Professional Experience 💼

Since January 2021, Dr. Mou has been serving as an Associate Professor at the College of Biological and Chemical Engineering, Qilu Institute of Technology, China. His academic role involves mentoring young researchers, leading innovative research projects, and developing sustainable materials. His experience also includes collaborations with leading scientists in catalysis, nanotechnology, and energy storage applications.

Research Interests 🌍

Dr. Mou’s research revolves around green chemistry, energy materials, and catalysis, with a strong emphasis on sustainable technology. His key areas of expertise include the design and synthesis of deep eutectic solvents (DESs), functional nanomaterials, photocatalysts, and electrocatalysts. His work plays a crucial role in developing fossil fuel alternatives, hydrogen energy, biomass energy, and ammonia-based energy solutions.

Awards & Honors 🏆

Dr. Mou has been recognized for his groundbreaking contributions to green chemistry and sustainable energy research. He has secured multiple prestigious grants, including funding from the National Natural Science Foundation of China, Shandong Province, and the Qilu Institute of Technology. His work has earned him a place in the Youth Innovation Team of Shandong Higher Education Institutions in both 2021 and 2022, highlighting his leadership in pioneering research.

Top Noted Publications 📚

Title: Spartina alterniflora Biochar Coupled BiOBr with Dominant Exposed Facet and Oxygen Vacancies for Efficient Photocatalytic Degradation of Ciprofloxacin
Authors: P. Ju, S. Yu, G. Zhang, S. Lu, J. Sun
Citations: 0
Index: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Year of Publication: 2025

Title: Niobium Phosphide-Induced Sulfur Cathode Interface with Fast Lithium-Ion Flux Enables Highly Stable Lithium–Sulfur Catalytic Conversion
Authors: P. Wang, H. Mou, Y. Wang, B. Xi, S. Xiong
Citations: 0
Index: Angewandte Chemie – International Edition
Year of Publication: 2025

Conclusion

Dr. Hongyu Mou has an impressive track record with significant contributions to green chemistry and sustainable energy solutions. Their publications, patents, and funded projects make them a strong candidate for a Best Researcher Award. Enhancing international collaborations, citation impact, and interdisciplinary applications would further solidify their position as a top researcher.

Dr KAVITHA M | Image Processing | Best Researcher Award |

Dr. KAVITHA M | Image Processing | Best Researcher Award | 

PROFESSOR , at K.Ramakrishnan college of technology, India.

Dr. M. Kavitha is a distinguished Professor at K. Ramakrishnan College of Technology, Trichy, with over 22 years of teaching and research experience. She specializes in image processing, neural networks, medical image analysis, machine vision, and antenna design. Her research focuses on artificial intelligence in healthcare systems, particularly in medical imaging and signal processing. Dr. Kavitha has published extensively in high-impact journals and actively contributes to academia through professional memberships, research proposals, and academic collaborations.

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Education 🎓

Dr. Kavitha holds a B.E. in Electronics and Communication Engineering from Mookambigai College of Engineering (2000), an M.Tech in Biomedical Signal Processing & Instrumentation from Sastra University (2005), and a Ph.D. in Image and Signal Processing from Anna University (2015). Her academic background forms the foundation for her expertise in AI-driven healthcare solutions and advanced signal processing techniques.

Professional Experience 💼

With 22 years of teaching and research experience, Dr. Kavitha has mentored numerous students and researchers in AI, image processing, and biomedical engineering. She has also completed multiple NPTEL certifications in digital image processing, signal systems, and engineering education methodologies, showcasing her commitment to lifelong learning.

Research Interests 🌍

Her research is centered on medical image processing, artificial intelligence in healthcare, and antenna design. She has worked extensively on neural networks, deep learning algorithms for medical diagnostics, and hybrid classifiers for ultrasound image analysis. Her contributions aim to enhance medical imaging accuracy, automate healthcare diagnostics, and integrate AI into real-world clinical applications.

Awards & Honors 🏆

Dr. Kavitha has been recognized for her research excellence through multiple professional society memberships, including ISTE, IEI, IAENG, IRED, and IETE. She has actively applied for 25 funded research proposals and organized high-profile academic events, such as a session with ISRO scientists on space safety.

Top Noted Publications 📚

28 GHz Printed Antenna for 5G Communication with Improved Gain Using Array

Authors: VKD, M. Kavitha, T. Dinesh Kumar, Dr. A. Gayathri

Journal: International Journal of Scientific & Technology Research

Citations: 33

Index: ISSN 2277-8616

Year: 2020

Hierarchical Classifier for Soft and Hard Exudates Detection of Retinal Fundus Images

Authors: M. Kavitha, S. Palani

Journal: Journal of Intelligent & Fuzzy Systems

Citations: 31

Year: 2014

COVID-19 Disease Diagnosis Using Smart Deep Learning Techniques

Authors: M. Kavitha, T. Jayasankar, P. Maheswara Venkatesh, G. Mani, C. Bharatiraja

Journal: Journal of Applied Science and Engineering

Citations: 29

Year: 2021

Blood Vessel, Optical Disk, and Damage Area-Based Features for Diabetic Detection from Retinal Images

Authors: M. Kavitha, S. Palani

Journal: Arabian Journal for Science and Engineering

Citations: 21

Year: 2014

Enhanced SVM Classifier for Breast Cancer Diagnosis

Authors: M. Kavitha, G. Lavanya, J. Janani, J. Balaji

Journal: International Journal of Engineering Technologies and Management Research

Citations: 15

Year: 2018

Conclusion

Dr. M. Kavitha is a strong contender for the Best Researcher Award based on her consistent research output, expertise in medical imaging & AI, and academic contributions. Strengthening citations, funding success, and leadership roles would further enhance her profile for top-tier research recognitions.

Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award |

Assoc. Prof. Dr Liangqin Wu | civil engineer | Best Researcher Award | 

East China Jiaotong university , at College of Civil Engineering and Architecture, China.

Assoc. Prof. Dr. Liangqin Wu is a distinguished civil engineer specializing in bridge engineering, vehicle-bridge dynamic interaction, and track-bridge interaction. With a strong academic and industry background, he has contributed significantly to the field through research, teaching, and engineering practice. Currently serving at the School of Civil Engineering and Architecture, East China Jiaotong University, he has led multiple national and provincial research projects and collaborated on international infrastructure initiatives.

Professional Profile

Scopus

Education 🎓

Dr. Wu earned his Ph.D. in Civil Engineering from Tongji University (2012), focusing on railway bridge structures. He holds a Master’s degree from Tianjin Chengjian University (2008) and a Bachelor’s degree from Northwestern Polytechnical University (2005), both in Civil Engineering. His academic journey has shaped his expertise in bridge dynamics, structural analysis, and railway infrastructure development.

Professional Experience 💼

Dr. Wu has extensive academic and industry experience. Since 2014, he has been a faculty member at East China Jiaotong University, teaching Bridge Engineering, Railway Bridge Engineering, and Introduction to Transportation. As a visiting scholar at China Railway Group Limited (Malaysia), he contributed to municipal bridge design in Kuala Lumpur. Before academia, he worked as a bridge engineer at The Third Railway Survey and Design Institute Group Corporation (TSDI), where he played a key role in structural computations for large-scale bridges, optimizing efficiency through self-developed computational programs.

Research Interests 🌍

His primary research interests include vehicle-bridge dynamic interaction, track-bridge interaction, and railway bridge engineering. His studies involve experimental and numerical analysis to enhance the safety, stability, and efficiency of modern railway bridges. He has conducted pioneering work on thin-walled trough girder bridges, braking force dynamics, and long-span rigid frame bridges, significantly contributing to structural resilience and design optimization.

Awards & Honors 🏆

Dr. Wu has been awarded multiple research grants, including funding from the National Natural Science Foundation of China (NSFC) and the Natural Science Foundation of Jiangxi Province. His research contributions have been recognized through industry collaborations, academic accolades, and keynote presentations at international conferences.

Top Noted Publications 📚

Title: Effects of Elevated Temperature on Rubber Concrete: Fracture Properties and Mechanism Analysis
Authors: L. Wu, Liangqin; R. Li, Renfeng; Z. Zhu, Zhiyong; B.B. Aydin, Beyazit Bestami; Y. Zhou, Yubao
Citations: 0
Index: Construction and Building Materials
Year of Publication: 2025

Conclusion

Wu Liangqin is a strong candidate for a research award, particularly in structural engineering, bridge dynamics, and railway infrastructure. However, to be highly competitive for a Best Researcher Award, he could further enhance his publication impact, international collaborations, and research leadership.

Mr Milen Chanev | Remote sensing | Best Researcher Award |

Mr. Milen Chanev | Remote sensing | Best Researcher Award | 

Doctor , at Space Research and Technology Institute-Bulgarian academy of Sciences, Bulgaria.

Milen Chanev is a researcher specializing in remote sensing applications in agriculture, with a focus on organic farming, crop yield monitoring, and water productivity. He holds a Ph.D. in Remote Sensing of the Earth and a Master’s degree in Organic Farming, combining expertise in sustainable agriculture and satellite-based monitoring. Currently serving as a Chief Assistant Professor at the Space Research and Technology Institute, Bulgaria, he has previously worked as an Assistant Professor at the Institute of Agriculture, Karnobat. His research explores the use of Sentinel-2 satellite data, UAV-based vegetation indices, and geospatial technologies to enhance precision farming and environmental sustainability. Milen has published extensively in high-impact journals, contributing to global research on crop type mapping, yield prediction, and biomass monitoring. Through international collaborations, including the Dragon-5 program, he continues to advance innovative solutions for climate-smart agriculture and resource-efficient farming.

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Education 🎓

Milen Chanev holds a Ph.D. in Remote Sensing of the Earth, specializing in the application of satellite data for agricultural monitoring. He also earned a Master’s degree in Organic Farming, combining expertise in sustainable agriculture with advanced geospatial technologies.

Professional Experience 💼

He is currently a Chief Assistant Professor at the Space Research and Technology Institute, Bulgaria, where he leads research on geospatial monitoring of agricultural systems. Previously, he served as an Assistant Professor at the Institute of Agriculture in Karnobat, Bulgaria, where he focused on remote sensing applications for crop management.

Research Interests 🌍

His research is centered on remote sensing applications in agriculture, with a particular emphasis on organic farming, crop yield monitoring, and water productivity. He explores the use of satellite imagery (Sentinel-2) and UAV-based vegetation indices to enhance precision farming and sustainability in cereal crops. His work contributes to climate-smart agriculture and resource-efficient farming.

Awards & Honors 🏆

Milen Chanev has been actively engaged in high-impact research projects and collaborations. He has contributed to internationally recognized studies, such as the Dragon-5 program. His work has been published in prestigious journals indexed in Web of Science and Scopus, reflecting its global significance.

Top Noted Publications 📚

Past Decade Above-Ground Biomass Change Comparisons from Four Multi-Temporal Global Maps – A. Araza, M. Herold, S. De Bruin, P. Ciais, D.A. Gibbs, N. Harris, M. Santoro, M. Chanev, et al. – International Journal of Applied Earth Observation and Geoinformation16 citations2023

Satellite Monitoring of Wheat Yields in Bulgaria – M. Chanev, L. Filchev – Journal of Mountain Agriculture on the Balkans6 citations2021

Crop Type Mapping and Winter Wheat Yield Prediction Utilizing Sentinel-2: A Case Study from Upper Thracian Lowland, Bulgaria – I. Kamenova, M. Chanev, P. Dimitrov, L. Filchev, B. Bonchev, L. Zhu, Q. Dong – Remote Sensing4 citations2024

Application of Remote Sensing Methods for Monitoring Wildlife Populations: A Review – M. Chanev, D. Nikolay, K. Ilina – 3 citations2023

Methodology for Remote Sensing Monitoring of Organic Wheat Crops – M. Chanev, L. Filchev, D. Valcheva – Ecological Engineering and Environmental Protection3 citations2022

Conclusion

Milen Chanev has a strong research profile with high-impact publications, expertise in remote sensing for agriculture, and contributions to sustainable farming technologies. To enhance competitiveness for the Best Researcher Award, he should focus on securing research grants, increasing citations, and demonstrating leadership in major projects.

Prof. Dr Elsadig Musa Ahmed | Sustainable Development Goals | Best Researcher Award |

Prof. Dr Elsadig Musa Ahmed | Sustainable Development Goals | Best Researcher Award | 

Professor , at Multimedia University, Malaysia.

Prof. Dr. Elsadig Musa Ahmed is a distinguished economist and technology management expert, currently serving as a professor at Multimedia University (MMU), Malaysia. Recognized among the World’s Top 2% Scientists by Stanford University, he has made significant contributions to development economics, digital economy, green productivity, and Islamic finance. With over 150 publications in high-impact journals, multiple research grants, and active involvement in global research networks, he has established himself as a thought leader in his field.

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Education 🎓

Prof. Dr. Elsadig holds a Ph.D. in Economics and Technology Management, equipping him with a strong foundation in economic growth, productivity analysis, and financial sustainability. His academic journey has paved the way for his extensive research and teaching career.

Professional Experience 💼

With extensive academic and administrative roles, he has contributed significantly to the Multimedia University (MMU) Senate, Research Ethical Committee, Board of Postgraduates, and research grants panels. He has also served as a consultant on major economic and financial projects in Malaysia and Saudi Arabia. His leadership roles include:

Chairperson of the Center for Globalization and Sustainability Research (CGSR)

Postgraduate Program Coordinator, Faculty of Business, MMU (2006-2014)

Panel Reviewer for Malaysian Ministry of Education Research Grants

Research Interests 🌍

His research spans multiple interdisciplinary domains, including development economics, digital economy, green productivity, Islamic finance, bioeconomy, poverty alleviation, and entrepreneurship. He actively explores the impact of foreign direct investment (FDI), technology, and sustainability on economic growth, aiming to bridge the gap between traditional and modern financial systems.

Awards & Honors 🏆

Prof. Dr. Elsadig has received numerous accolades for his outstanding contributions to research and academia. His notable achievements include:

Best Researcher Award 2024 🏅

Sustainability Pioneers Award 2023 🌱

Outstanding Reviewer Award, Emerald Literati Awards 2021 ✍️

Best Paper Award at Laval University, Canada (2010) 📜

Multimedia University Excellent Research Awards (Multiple Years) 🎖️

Top Noted Publications 📚

Are the FDI Inflow Spillover Effects on Malaysia’s Economic Growth Input Driven? – E.M. Ahmed | Economic Modelling, 2012 | Citations: 197 | Index: Scopus, WoS

The Impact of CO₂ on Economic Growth in ASEAN-8 – H. Borhan, E.M. Ahmed, M. Hitam | Procedia – Social and Behavioral Sciences, 2012 | Citations: 149 | Index: Scopus

The Impact of ICT on East Asian Economic Growth: Panel Estimation Approach – E.M. Ahmed, R. Ridzuan | Journal of the Knowledge Economy, 2013 | Citations: 120 | Index: Scopus, WoS

Factors Influencing Sudanese Microfinance Intention to Adopt Mobile Banking – A. Ammar, E.M. Ahmed | Cogent Business & Management, 2016 | Citations: 115 | Index: Scopus

Green TFP Intensity Impact on Sustainable East Asian Productivity Growth – E.M. Ahmed | Economic Analysis & Policy, 2012 | Citations: 107 | Index: Scopus

Conclusion

Professor Dr. Elsadig Musa Ahmed Mohammed is an exceptionally strong candidate for the Best Researcher Award. His high-impact publications, research leadership, and global recognition make him highly deserving of this accolade. Addressing the suggested areas for improvement would further enhance his global academic influence.

Mrs Jing lI | Animal Science | Best Researcher Award |

Mrs. Jing lI | Animal Science | Best Researcher Award | 

Technical Manager , atNanjing Agriculture University, China.

Mrs. Jing Li is a dedicated researcher and industry leader in animal nutrition and feed science, with extensive expertise in feed formulation, biotechnology, and livestock nutrition management. With a Ph.D. in Animal Nutrition, she has contributed significantly to both academia and the agricultural industry through research, product innovation, and technical services. Her work focuses on enhancing livestock feed efficiency, optimizing nutritional strategies, and developing sustainable solutions for the animal feed sector.

Professional Profile

Scopus

Education 🎓

Mrs. Jing Li earned her Ph.D. in Animal Nutrition and Feed Science from Nanjing Agricultural University (2013–2017), where she specialized in livestock nutrition, feed formulation, and microbiological impacts on animal health. Prior to this, she completed her Master’s degree (2010–2013) in the same field from Nanjing Agricultural University and her Bachelor’s degree (2006–2010) from Qingdao Agricultural University, building a strong foundation in animal science.

Professional Experience 💼

With over a decade of experience, Mrs. Jing Li has held leadership roles in the animal feed industry, bridging research with practical applications:

Technical Promotion Director at Beijing Keweibo Biotechnology Co., Ltd. (2022–present), leading product development, technical services, and global market expansion.

Technical Service Director at Beijing Shengtuoda Biotechnology Co., Ltd. (2017–2022), specializing in feed formulation, customer training, and scientific consulting.

Collaborated with leading feed companies such as CP GROUP, WELLHOPE, DBN GROUP, and WEST HOPE GROUP, providing technical expertise and research-driven solutions.

Research Interests 🌍

Her research is centered on livestock nutrition, feed additives, and microbiology, aiming to enhance feed efficiency, gut health, and sustainable animal farming. She has conducted studies on protein feedstuffs, enzyme applications in animal diets, and the effects of environmental factors on animal health. Her expertise extends to feed formulation for swine, poultry, and ruminants, contributing to improved nutritional strategies and livestock performance.

Awards & Honors 🏆

Granted multiple patents for innovations in animal nutrition and feed science.

Recognition for contributions to animal nutrition research through industry collaborations.

Key contributor to school-enterprise cooperation projects, fostering industry-academic partnerships.

Top Noted Publications 📚

Title: Identification of a Novel Hybrid Sterility Locus S67 Between Temperate Japonica Subgroup and Basmati Subgroup in Oryza sativa L.

Authors: Y. Lv, Yonggang; J. Li, Jing; Y. Yang, Ying; Y. Zhang, Yu; D. Tao, Dayun

Citations: 1

Index: Scientific Reports

Year of Publication: 2024

Conclusion

Dr. Jing Li is a strong candidate for a research award, particularly in applied animal nutrition and biotechnology. While she has made significant contributions through research, patents, and industry leadership, strengthening her global research influence and publication record in high-impact journals would enhance her eligibility for top-tier research awards.

Assist. Prof. Dr Saeid Afshari | Artificial intelligence | Best Researcher Award |

Assist. Prof. Dr Saeid Afshari | Artificial intelligence | Best Researcher Award | 

Faculty , at University of Isfahan , Iran.

Dr. Saeid Afshari is an Assistant Professor of Computer Engineering at the University of Isfahan, Iran. With extensive expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Human-Computer Interaction (HCI), he has significantly contributed to both academia and industry. His research spans AI-driven solutions for healthcare, security, organizational management, and multimedia applications. An experienced IT project manager, he has successfully led the development of various smart software systems, AI-based analytics platforms, and e-Government services. Dr. Afshari is also a dedicated educator, mentoring numerous students in AI, data science, and software engineering.

Professional Profile

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Education 🎓

Ph.D. in Computer Engineering – Artificial Intelligence (2015) | University of Isfahan, Iran

Thesis: Online Quality of Experience Assessment System for Interactive Applications in Computer Networks

M.Sc. in Computer Engineering – Artificial Intelligence (2005) | University of Isfahan, Iran

Thesis: Using Agents in Workflow Management System of Distributed Organizations

B.Sc. in Hardware Engineering (2000) | University of Isfahan, Iran

Professional Experience 💼

Dr. Afshari has extensive experience in managing and developing AI-powered IT projects. He has led multiple organizational management software, AI-based sports and athlete management platforms, and e-Government solutions. As an educator, he has taught a range of subjects, including AI, data science, statistical pattern recognition, and programming in Python, C++, and MATLAB. His supervision of numerous master’s theses on AI applications highlights his mentorship and contribution to academic research.

Research Interests 🌍

Dr. Afshari’s research explores AI-driven problem-solving, deep learning applications, and human-computer interaction. His work includes machine learning-based image processing for medical diagnostics (cancer detection, skin tissue analysis), AI-powered workflow automation, smart organizational management, and multimedia quality assessment. He has also worked on neural network-based human activity recognition, deep learning models for license plate recognition, and machine translation systems. His interdisciplinary approach integrates AI with healthcare, business management, and security applications.

Awards & Honors 🏆

Recognized for significant contributions in AI-driven software development and project leadership

Successfully implemented over 150 AI-based software applications in academia and industry

Leading researcher in QoE (Quality of Experience) assessment for interactive applications

Top Noted Publications 📚

Load Balancing of Servers in Software-Defined Internet of Multimedia Things Using the Long Short-Term Memory Prediction Algorithm

Authors: S. Imanpour, A. Montazerolghaem, S. Afshari

Conference: 10th International Conference on Web Research (ICWR)

Citations: 7

Year: 2024

QoE Assessment of Interactive Applications in Computer Networks

Authors: S. Afshari, N. Movahhedinia

Journal: Multimedia Tools and Applications, Volume 75, Pages 903-918

Citations: 7

Year: 2016

Non-Intrusive Online Quality of Experience Assessment for Voice Communications

Authors: S. Afshari, N. Movahhedinia

Journal: Wireless Personal Communications, Volume 79, Pages 2155-2170

Citations: 3

Year: 2014

Optimizing Server Load Distribution in Multimedia IoT Environments Through LSTM-Based Predictive Algorithms

Authors: A. R. Montazerolghaem, S. Imanpour, S. Afshari

Journal: International Journal of Web Research

Year: 2025

Projecting Road Traffic Fatalities in Australia: Insights for Targeted Safety Interventions

Authors: A. Soltani, S. Afshari, M. A. Amiri

Journal: Injury

Year: 2025

Conclusion

Dr. Saeid Afshari is a strong candidate for the Best Researcher Award, particularly for his contributions to AI, machine learning, and deep learning applications. To further enhance his competitiveness, he could focus on increasing high-impact publications, international collaborations, patents, and research funding. If the award prioritizes real-world AI applications, software development, and mentorship, he would be an excellent nominee.

Prof Livija Cveticanin | Nonlinear Vibration | Best Researcher Award |

Prof. Livija Cveticanin | Nonlinear Vibration | Best Researcher Award | 

Faculty of Technical Sciences, at University of Novi Sad , Serbia.

Prof. Livija Cveticanin is a distinguished mechanical engineer and researcher specializing in nonlinear vibrations and rotor dynamics. She has been a Full Professor at the University of Novi Sad, Faculty of Technical Sciences, since 1991, holding various leadership positions, including Head of the Institute of Mechanics and Mechanical Design and Vice-Dean. She earned her Ph.D. from UNS-FTS in 1981 and later received a Doctor of Science title from the Hungarian Academy of Sciences in 2013. Her research contributions include the development of the “Cveticanin Method” for solving nonlinear differential equations, with extensive applications in vibration diagnostics and noise reduction. Recognized among the top 2% of the most cited scientists globally (Stanford University, 2018 & 2020), she has published over 156 ISI-indexed journal papers, six monographs, and multiple book chapters, with more than 3,000 citations. She is an editor and reviewer for leading scientific journals and has been a plenary speaker at international conferences. Beyond academia, she has contributed to numerous engineering projects, co-authoring technical designs and production lines. Her international collaborations span Europe and beyond, making her a leading figure in mechanical engineering research.

Professional Profile

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Education 🎓

Prof. Livija Cveticanin was born on April 7, 1952, in Senta. She completed her primary and secondary education in 1970. She earned her Bachelor’s degree in Mechanical Engineering from the University of Novi Sad (UNS) in 1975 with an outstanding GPA of 9.50/10. She obtained her Master’s degree in Mechanics from the University of Belgrade in 1977 and completed her Ph.D. in 1981 at the Faculty of Technical Sciences, UNS, specializing in the dynamics of machines and mechanisms with variable mass. In 2013, she was awarded the Doctor of Science title by the Hungarian Academy of Sciences, Budapest.

Professional Experience 💼

She has been a Full Professor at the University of Novi Sad, Faculty of Technical Sciences since 1991, holding various leadership roles such as Head of the Institute of Mechanics and Mechanical Design (1990–1996), Head of the Department of Technical Mechanics (2018–present), and Vice-Dean of UNS-FTS (1997–2000). Additionally, she served as the Head of the International Doctoral School of Safety and Security Sciences in Budapest, Hungary (since 2016). Her teaching expertise spans multiple engineering disciplines, and she has supervised numerous Ph.D., Master’s, and Bachelor’s theses.

Research Interests 🌍

Her research primarily focuses on nonlinear vibrations and rotor dynamics, including the development of a groundbreaking method for solving strong nonlinear differential equations, now known as the “Cveticanin Method.” She has significantly contributed to vibration diagnostics, noise reduction, and machine mechanics, impacting both academia and industry.

Awards & Honors 🏆

Prof. Cveticanin has been recognized among the top 2% of the most cited scientists worldwide by Stanford University in 2018 and 2020. She received the Thomson Reuters award for authoring one of Serbia’s most-cited single-author papers, ranking in the top 1% of most-cited physics papers in 2001. She holds an Honorary Professorship at Politehnica University of Timișoara, Romania.

Top Noted Publications 📚

Homotopy–Perturbation Method for Pure Nonlinear Differential Equation, L. Cveticanin, 323 citations, Chaos, Solitons & Fractals, 2006.

Dynamic Modeling of a Pneumatic Muscle Actuator with Two-Direction Motion, J. Sárosi, I. Biro, J. Nemeth, L. Cveticanin, 129 citations, Mechanism and Machine Theory, 2015.

Strong Nonlinear Oscillators, L. Cveticanin, 111 citations, Springer, Cham, 2018.

Oscillator with Fraction Order Restoring Force, L. Cveticanin, 109 citations, Journal of Sound and Vibration, 2009.

Dynamics of Machines with Variable Mass, L. Cveticanin, 99 citations, Routledge, 2022.

Conclusion

Strong candidate for the Best Researcher Award. Her exceptional publication record, scientific contributions, and recognition by prestigious institutions make her highly suitable. Expanding interdisciplinary research, international funding leadership, and public outreach could further strengthen her profile.