Serdar kırışoğlu | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. Serdar kırışoğlu | Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr. Serdar kırışoğlu | Artificial Intelligence – Academic Staff at Duzce University, Turkey

Assoc. Prof. Dr. Serdar KIRIŞOĞLU is a prominent scholar and researcher whose work bridges artificial intelligence, machine learning, blockchain systems, and data-driven analytics. As a faculty member at Düzce University’s Department of Computer Engineering, he has contributed significantly to advancing technology in economic forecasting, smart systems, and secure networks. Over the course of his academic career, he has guided multiple research initiatives, mentored graduate and doctoral students, and published impactful research recognized by leading journals and conferences worldwide.

Academic Profile:

ORCID

Education:

Dr. KIRIŞOĞLU earned his Ph.D. in Electrical-Electronics and Computer Engineering in 2018 from Düzce University, where his dissertation introduced a novel dynamic VLAN approach to optimize the systematic design of corporate networks. He previously obtained a Master’s degree in Electrical Education in 2009 from Abant İzzet Baysal University, focusing on FPGA-based hardware solutions for secure digital image data embedding and extraction, and a Bachelor’s degree in Electrical-Electronics Engineering in 2000 from Kahramanmaraş Sütçü İmam University, laying the groundwork for his expertise in computer engineering and digital systems.

Experience:

With a career rooted in academia and research, Dr. KIRIŞOĞLU has been an integral part of Düzce University since 2018, serving as an Associate Professor and leading various roles, including Head of the IT Department, where he drives digital transformation and technological innovation. His experience spans leadership in high-impact national and international projects, including initiatives on big data infrastructure, augmented reality applications, AI-based economic crisis detection, and advanced cybersecurity measures. He has also served as a dedicated supervisor for numerous master’s and doctoral theses, fostering future researchers in cutting-edge fields like financial analytics, machine learning, and natural language processing.

Research Interest:

Dr. KIRIŞOĞLU’s research interests encompass artificial intelligence, machine learning, blockchain-based systems, big data analytics, and network optimization. His current projects involve developing predictive models for stock markets using AI, applying NLP to detect economic crises, enhancing cybersecurity through intelligent threat detection, and integrating augmented reality with web-based systems. His interdisciplinary approach consistently merges theoretical innovation with practical applications, benefiting sectors such as finance, education, and healthcare.

Award:

His dedication to advancing computer engineering has positioned him as a strong nominee for the Best Researcher Award 2025, with recognition stemming from his leadership in research-driven projects, his impactful publications indexed in Scopus and IEEE, and his ongoing contributions to mentoring future scholars and innovators in AI and technology.

Publications:

Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market – IEEE Access, 2025.
Determination of Gold Purity Degrees Using Audio Features with Machine Learning Algorithms – Applied Acoustics, July 2025.
Cyclical Hybrid Imputation Technique for Missing Values in Data Sets – Scientific Reports, February 2025.
Sustainable Economic Development Through Crisis Detection Using AI Techniques – Sustainability, February 2025.
GSelf-MapReduce: A Method for Enhancing MapReduce Performance in Distributed Heterogeneous Data Centers – IEEE Access, 2024.
Pandemi Sürecinde Uzaktan Eğitimde Senkron, Asenkron ve Hibrit Yapılmış Derslerde Veri Madenciliği ile Öğrenci Performans Analizi – Düzce Üniversitesi Bilim ve Teknoloji Dergisi, January 2024.
Çok Katmanlı Algılayıcı ile Ağ Trafiği Sınıflandırma Analizi – Düzce Üniversitesi Bilim ve Teknoloji Dergisi, April 2022.

Conclusion:

Assoc. Prof. Dr. Serdar KIRIŞOĞLU’s career exemplifies academic excellence, impactful research, and forward-thinking innovation, making him an ideal candidate for the Best Researcher Award 2025. His pioneering work in artificial intelligence, big data, and blockchain, combined with his dedication to mentoring and leading research initiatives, underscores his substantial contributions to both science and society. With a growing body of influential publications and leadership in transformative projects, he continues to shape the future of computer engineering and remains committed to expanding his global academic impact through further collaborations and innovations.

 

 

Emmanuel Owoicho Abah | Bioenergy | Best Researcher Award

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Dr. Emmanuel Owoicho Abah | Bioenergy | Best Researcher Award

Dr. Emmanuel Owoicho Abah | Bioenergy – Postdoctoral Associate at University of Vermont, United States

Dr. Emmanuel Owoicho Abah is a distinguished postdoctoral associate at the Food Systems Research Center, University of Vermont, where he leads research bridging renewable energy, sustainable agriculture, and environmental systems. With a strong foundation in agricultural and environmental engineering, he focuses on optimizing energy systems, mitigating environmental impacts, and advancing food system sustainability. His interdisciplinary work connects innovations in low-emission biomass utilization, climate adaptation, and life cycle assessment, contributing to cleaner energy solutions and sustainable food processing practices across multiple continents.

Academic Profile

ORCID

Scopus

Google Scholar

Education

Dr. Abah earned his Ph.D. in Agricultural and Environmental Engineering from the University of Tsukuba, Japan, where his research centered on developing catalytic conversion technologies for reducing emissions in biomass-based energy systems. He expanded his expertise through postdoctoral research at the University of Vermont, focusing on energy optimization and sustainable food production. His academic journey is marked by advanced research in emission control, energy-environment interactions, and agricultural resilience under climate stressors.

Experience

Over the past decade, Dr. Abah has collaborated with research teams in Japan, the USA, and Africa, driving innovations in renewable energy integration and food system sustainability. He has contributed to international projects assessing particulate matter emissions from biomass, solar photovoltaic forecasting, and environmental impacts of agricultural residues. His work with institutions such as the University of Tsukuba and the University of Vermont has resulted in impactful findings published in global journals. Additionally, he mentors graduate researchers and supports initiatives promoting sustainable farming and energy practices in developing regions.

Research Interest

Dr. Abah’s research interests span renewable energy systems, sustainable agriculture, life cycle assessment (LCA), and climate change mitigation. He explores pathways for reducing particulate emissions in biomass energy, applies machine learning to solar energy forecasting, and evaluates food system efficiencies under climate variability. His studies address pressing challenges such as energy access, environmental degradation, and agricultural resilience, aiming to guide policymakers and industries toward sustainable solutions.

Award

In recognition of his impactful publications, global research collaborations, and contributions to sustainable energy and food systems, Dr. Emmanuel Owoicho Abah is nominated for the Best Researcher Award 2025. His innovative approaches to emission control, agricultural energy integration, and cross-continental sustainability make him a distinguished candidate for this honor.

Publications

  • Challenges and Opportunities in Nigeria’s Renewable Energy Policy and Legislation – World Journal of Advanced Research and Reviews, 2024 (Cited by 11)
  • Comparative Real-Time Assessment of Particulate Matter Emissions in Rice Husk Combustion – Journal of the Japan Institute of Energy, 2018 (Cited by 8)
  • Catalytic Temperature Effects on Conversion Efficiency of PM2.5 and Gaseous Emissions from Rice Husk Combustion – Energies, 2021 (Cited by 5)
  • Intensifying Human-Driven Heatwaves Characteristics and Heat-Related Mortality Over Africa – Environmental Research: Climate, 2024 (Cited by 5)
  • Environmental Impact of Cassava Processing Waste on Soil Quality in Benue South, Nigeria – European Journal of Ecology, Biology, and Agriculture, 2024 (Cited by 1)
  • Machine Learning-Based Solar Photovoltaic Power Forecasting for Nigerian Regions – Energy Science & Engineering, 2025 (Cited by 1)
  • Sweet Liquid Gold Facing Climate Change: SWOT Analysis of the U.S. Maple Syrup Sector – Sustainability, 2025 (New Publication)

Conclusion

Dr. Emmanuel Owoicho Abah’s career reflects a dedication to advancing renewable energy applications and sustainable agricultural systems while addressing climate and environmental challenges on a global scale. His scholarly contributions, which include widely cited studies and international collaborations, have helped shape policy discussions and technological strategies for sustainable development. As a mentor, innovator, and researcher, he continues to pave the way for impactful advancements in food-energy systems and emission control technologies. This award nomination recognizes his growing influence, his dedication to bridging science and societal needs, and his potential to continue contributing groundbreaking research and leadership to the fields of renewable energy and sustainable agriculture.

 

 

Wai Kin Victor Chan | Artificial Intelligence | Best Researcher Award

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Prof. Wai Kin Victor Chan | Artificial Intelligence | Best Researcher Award

Prof. Wai Kin Victor Chan | Artificial Intelligence – Professor at Tsinghua University, China

Prof. Wai Kin Victor Chan is a distinguished academic and researcher at Tsinghua University’s Tsinghua-Berkeley Shenzhen Institute, widely recognized for his expertise in agent-based simulation, discrete-event systems, intelligent transportation networks, and sustainable energy applications. Over his career, he has made significant strides in computational modeling, deep learning frameworks, blockchain systems, and manufacturing optimization, earning more than 2,600 citations across his research portfolio. His work addresses pressing technological challenges by bridging simulation science, artificial intelligence, and smart city innovation, establishing him as a thought leader and collaborator in advancing next-generation technologies for global benefit.

Academic Profile:

ORCID

Google Scholar

Education

Prof. Chan earned his Ph.D. in Systems Engineering, focusing on discrete-event simulation modeling and optimization techniques for complex industrial systems. His doctoral research, supported by international collaborations, laid the foundation for his future breakthroughs in multi-cluster scheduling, simulation-based energy analysis, and AI-driven forecasting frameworks. Building upon his early academic achievements, his continuous learning through postdoctoral engagements and research residencies allowed him to refine expertise in transportation systems modeling, sustainable manufacturing, and decentralized technologies.

Experience

Prof. Chan has built an extensive research career through faculty roles, international research collaborations, and industry-linked projects that merge academic rigor with real-world impact. At Tsinghua University, he leads interdisciplinary initiatives connecting simulation, artificial intelligence, and smart infrastructure, partnering with global institutions to develop computational frameworks for blockchain energy modeling, emergency transportation planning, and AI-powered traffic systems. His experience spans conference leadership, workshop facilitation, and mentoring graduate researchers, while his advisory roles for industrial partners have enabled the application of his models to enhance supply chains, urban planning, and energy-efficient manufacturing systems.

Research Interest

Prof. Chan’s research interests are anchored in agent-based and discrete-event simulations, Monte Carlo computational techniques, AI-enabled traffic prediction, blockchain-driven sustainability, and system optimization for smart cities and industrial processes. He is particularly focused on developing hybrid modeling approaches that combine simulation and artificial intelligence to manage complex, dynamic systems. His contributions to the study of emergent behavior modeling, electricity market simulations, and multi-cluster scheduling have influenced the design of scalable frameworks for both academic research and applied engineering solutions worldwide.

Award

Prof. Chan’s exceptional academic trajectory, marked by his citation index of 2,634, h-index 24, and i10-index 49, positions him as a strong nominee for the Best Researcher Award. His contributions have advanced transportation system resilience, sustainable blockchain adoption, and AI-driven optimization techniques, earning recognition within academic and professional networks such as IEEE and ACM. His role as a collaborative leader in international research projects exemplifies the kind of global impact celebrated by this award category.

Publications

Cost modeling and optimization of a manufacturing system for mycelium-based bio composite parts has achieved 77 citations.

His study Agent-Based Simulation Tutorial: Simulation of Emergent Behavior (Winter Simulation Conference, 2010)  garnered 240 citations.

The publication Optimal Scheduling of Multicluster Tools Part I (IEEE Transactions on Automation Science and Engineering, 2010)  attracted 154 citations

His deep learning work Spatial-Temporal Attention Wavenet for Traffic Prediction (IET Intelligent Transport Systems, 2021)  earned 117 citations, reflecting its relevance to AI-driven infrastructure planning.

His blockchain-focused research Evaluation of Energy Consumption in Blockchains (Journal of Physics: Conference Series, 2020) has achieved 109 citations.

The work Monte Carlo Simulations Applied to Uncertainty in Measurement (BoD Books on Demand, 2013)  achieved 125 citations.

Most recently, his AI-centric collaboration Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization (arXiv, 2023) has already amassed 107 citations.

Conclusion

Prof. Wai Kin Victor Chan’s research career embodies the qualities celebrated by the Best Researcher Award, blending theoretical innovation, high-impact publications, and interdisciplinary leadership. His pioneering studies in agent-based systems, AI-driven simulations, and sustainable technologies not only advance the state of knowledge but also provide solutions for urban resilience, energy efficiency, and digital innovation. With a strong publication record, global collaborations, and a vision for expanding AI-integrated sustainability and smart infrastructure frameworks, he continues to shape the future of computational science, making him a deserving recipient of this recognition.

 

 

Rui Liu | Technology | Best Researcher Award

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Prof. Rui Liu | Technology | Best Researcher Award

Prof. Rui Liu | Technology – Professor at Huazhong Agricultural University, China

Dr. Rui Liu is a distinguished researcher at Huazhong Agricultural University, China, specializing in food science, metabolomics, and bioactive compounds. Her career has been marked by extensive contributions to the study of functional foods, particularly focusing on the metabolic characteristics and biological impacts of catechins, flavan-3-ols, procyanidins, and phenolamines. With over 67 publications indexed in Scopus, 1,353 citations, and an h-index of 22, Dr. Liu has made significant advances in understanding how bioactive food components contribute to human health, aging, and disease prevention. Her interdisciplinary expertise integrates biochemistry, nutritional sciences, and agricultural innovation, making her a leading voice in metabolomics-driven functional food research.

Academic Profile:

Scopus

Education

Dr. Liu earned her doctoral degree (Ph.D.) from Huazhong Agricultural University, where she developed advanced research skills in untargeted and targeted metabolomics, bioactivity profiling, and food bioengineering. Her doctoral research centered on the transformation and bioavailability of polyphenolic compounds in agricultural and functional foods, laying the groundwork for her expertise in integrating omics approaches with human health and agricultural systems.

Experience

Over the course of her academic career, Dr. Liu has worked extensively on collaborative projects that span food science, nutritional metabolomics, and agricultural sustainability. She has participated in national and international research consortia, contributing to studies involving the bioactive potential of plant-derived compounds, bee products, and functional food ingredients. Her involvement extends to peer review activities, scientific committee roles at academic conferences, and the mentorship of graduate students, enhancing her impact as both a researcher and academic leader.

Research Interest

Dr. Liu’s primary research interests include metabolomics analysis of bioactive compounds, antioxidant mechanisms, anti-aging pathways, and lipid metabolism regulation influenced by plant-based and apian-derived substances. She is particularly focused on functional food development and the translation of bioactive compound research into nutritional and therapeutic innovations. Her work bridges the gap between food science and human health by investigating compounds such as procyanidins, catechins, and phenolamines for their protective and therapeutic properties in metabolic and degenerative conditions.

Award

Dr. Rui Liu has been nominated for the Best Researcher Award 2025 in recognition of her significant publication record, high citation impact, international collaborations, and leadership contributions to the field of food metabolomics and bioactive compound research. Her work stands out for its practical applications in nutrition and health, reinforcing her position as a global contributor to scientific advancement.

Publications

🍃 Metabolic characteristics of catechin, B-type and A-type linkage flavan-3-ols revealed by metabolomics, Food Research International, 2025 – cited by 12 articles.
🥜 Integrated multi-omics analysis of peanut skin procyanidins regulating lipid metabolism in obese mice, Nutrients, 2025 – cited by 9 articles.
🐝 Antioxidant and anti-aging effects of queen bee larvae protein hydrolysates in Drosophila melanogaster, International Journal of Biological Macromolecules, 2025 – cited by 7 articles.
🌼 Apricot bee pollen alleviates deoxynivalenol-induced toxicity in bovine granulosa cells, Animals, 2025 – cited by 10 articles.
🍯 Characterization and geographical discrimination of Rhus chinensis honeys by physicochemical and antioxidant parameters, Journal of Food Measurement and Characterization, 2025 – cited by 8 articles.
🌾 Phenolamine in rape bee pollen and its protective effect against alcoholic liver injury, Food Science and Human Wellness, 2025 – cited by 6 articles.

Conclusion

Dr. Rui Liu exemplifies the qualities of an outstanding scientific leader whose research continues to advance the understanding of functional food components and their impact on human health. Her extensive record of publications, citation metrics, and collaborations with international institutions highlight her as a driving force in metabolomics and food bioengineering. With ongoing studies addressing lipid metabolism, anti-aging mechanisms, and the functional potential of plant and apian bioactives, Dr. Liu’s future contributions are expected to significantly shape nutritional sciences and agricultural innovation. Her dedication to research, mentorship, and scientific dissemination make her a deserving recipient of the Best Researcher Award 2025, representing excellence in both academic and societal contributions.

 

 

Elsadig Musa Ahmed | Development Economics | Best Researcher Award

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Prof. Dr. Elsadig Musa Ahmed | Development Economics | Best Researcher Award

Prof. Dr. Elsadig Musa Ahmed | Development Economics – Professor at Faculty of Business Multimedia University, Malaysia

Prof. Dr. Elsadig Musa Ahmed is a distinguished scholar renowned for his expertise in productivity analysis, development economics, economic growth, and the integration of technology and environmental factors into sustainable economic frameworks. He serves as a Professor of Economics and Technology Management at Multimedia University, Malaysia, and has built a career marked by over 3,391 citations, an h-index of 31, and 86 i10-indexed publications. His research has significantly influenced both academic and policy arenas, positioning him as a leading figure in regional and international economic development studies.

Academic Profile:

ORCID

Scopus

Google Scholar

Education:

Prof. Ahmed completed his Ph.D. in Economics and Technology Management, which provided him with a strong foundation in economic modeling, productivity measurement, and technology-driven growth strategies. His academic training has enabled him to contribute effectively to research and policymaking, bridging theoretical economics with practical applications for sustainable development and knowledge-based economies.

Experience:

Prof. Ahmed has extensive academic and professional experience, with a career spanning multiple international collaborations involving universities and research institutions in the United States, Australia, and ASEAN regions. His expertise has guided projects in ICT-driven growth, green productivity, and economic innovation. Alongside his research, he has mentored postgraduate students, served on academic committees, and engaged with professional bodies, including IEEE and regional development forums, strengthening his contributions to scholarly and societal advancements.

Research Interest:

His research interests focus on sustainable economic growth, green productivity modeling, ICT spillover effects, knowledge economy development, and environmental policy. His work addresses global challenges by integrating economic development with environmental sustainability, offering frameworks for emerging economies to balance growth with ecological considerations.

Award:

Prof. Ahmed has earned recognition across academic platforms for his impactful publications, extensive citation record, and collaborations. His contributions have secured invitations to publish in high-impact journals, serve on editorial boards, and collaborate with regional and global research initiatives, affirming his standing as a leading voice in development economics and technology management.

Publications:

📘 Are the FDI inflow spillover effects on Malaysia’s economic growth input driven? – Economic Modelling, 2012 – cited by 204 articles
📗 The impact of CO₂ on economic growth in ASEAN 8 – Procedia Social and Behavioral Sciences, 2012 – cited by 154 articles
📘 The impact of ICT on East Asian economic growth: panel estimation approach – Journal of the Knowledge Economy, 2013 – cited by 119 articles
📕 Green TFP intensity impact on sustainable East Asian productivity growth – Economic Analysis & Policy, 2012 – cited by 109 articles
📘 ICT and human capital spillover effects in achieving sustainable East Asian knowledge-based economies – Journal of the Knowledge Economy, 2017 – cited by 95 articles
📙 Digital technology adoption and globalization innovation implications on Asian Pacific green sustainable economic growth – Journal of Open Innovation: Technology, Market, and Complexity, 2024 – cited by 74 articles
📗 Modelling ICT cybersecurity externalities spillover effects on sustainable economic growth – Journal of the Knowledge Economy, 2021 – cited by 74 articles

Conclusion:

Prof. Dr. Elsadig Musa Ahmed’s career reflects a remarkable contribution to advancing research in sustainable economic development, productivity growth, and technology-driven innovation. His prolific publication record, global collaborations, and mentorship of emerging scholars demonstrate his dedication to both academic excellence and societal progress. As a thought leader influencing policy and research globally, he stands as a deserving recipient of the Best Researcher Award 2025 for his enduring impact on economics, sustainability, and innovation.

 

Laura Lozano de Sosa | Agriculture | Best Researcher Award

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Dr. Laura Lozano de Sosa | Agriculture | Best Researcher Award

Dr. Laura Lozano de Sosa | Agriculture – Investigador Postdoctoral at Consejo Superior de Investigaciones Científicas(CSIC), Spain

Dr. Laura Lozano de Sosa Miralles is a postdoctoral researcher specializing in soil and environmental sciences, with a focus on sustainable agriculture, soil microbiology, and the dynamics of soil organic matter. Her research bridges applied and theoretical aspects of soil health management, aiming to develop innovative strategies through circular economy approaches, biochar applications, and precision agriculture. With over a decade of scientific contributions across Spain, the UK, and international collaborations, she has become a recognized contributor to advancing soil ecosystem resilience. Her dedication to promoting sustainable practices and improving global food and environmental security highlights her growing influence in agricultural and ecological research.

Academic Profile:

ORCID

Scopus

Google Scholar

Education

Dr. Lozano de Sosa earned her Ph.D. in Soil and Environmental Sciences from Bangor University, United Kingdom, in 2018. Her doctoral research explored carbon cycling and microbial ecology along riparian ecosystems, providing a foundation for understanding soil-climate interactions. She also holds a graduate degree in Forestry Engineering from the University of Huelva, Spain. Her academic journey reflects a strong interdisciplinary foundation, combining forestry, environmental science, and soil ecology to address pressing global challenges in ecosystem restoration and sustainable land use.

Experience

Her professional career spans prestigious institutions, including the Spanish National Research Council (CSIC) at IRNAS-Seville, where she currently serves as a postdoctoral researcher funded by the HORIZON-MISS-2022-SOIL Project. Her prior roles include postdoctoral fellowships at the Institute of Agricultural Sciences (Madrid) and multiple tenures at IRNAS-CSIC under competitive PAIDI and European research programs. She has collaborated internationally with institutions like the UK’s Centre for Ecology and Hydrology and contributed to European-funded projects, integrating soil science with sustainable farming practices. Her experience also extends to academic teaching, mentorship, and participation in policy-driven environmental research initiatives.

Research Interests

Dr. Lozano de Sosa’s research focuses on sustainable soil management, soil organic carbon cycling, and the integration of organic amendments for ecosystem restoration. She investigates biochar and compost applications, soil microbiome dynamics, and precision agriculture to enhance nutrient efficiency and soil fertility. Her work contributes to the United Nations’ Sustainable Development Goals by addressing soil degradation, biodiversity conservation, and agricultural sustainability. With multiple studies published in Q1-ranked journals, her research aligns with advancing solutions for climate change mitigation and sustainable food production systems globally.

Awards and Recognition

Her selection for competitive European research fellowships, participation in Horizon Europe initiatives, and continuous contributions to high-impact scientific publications underscore her recognition as a leading researcher in soil and agricultural sciences. Her involvement in international collaborations and projects addressing climate resilience and sustainable farming practices reflects her qualifications for the Best Researcher Award.

Selected Publications

  • 🌱 Land Degradation & Development (2024) – On soil carbon loss in tropical dry forests; cited in ecosystem restoration studies.
  • 💧 Agricultural Water Management (2023) – Compost-soil interactions in olive groves; referenced in sustainable irrigation research.
  • 🌍 SOIL Journal (2023) – Comparative analysis of compost strategies in Mediterranean olive systems; cited in agroecology studies.
  • ♻️ Applied Soil Ecology (2022) – Nitrogen dynamics influenced by compost application; informing Mediterranean soil fertility research.
  • 🌾 Agriculture, Ecosystems & Environment (2020) – Conservation tillage impacts on microbial communities; referenced in soil biodiversity studies.
  • 🌿 Science of the Total Environment (2018) – Riparian soils’ contribution to ecosystem services; cited in watershed management research.
  • 🔬 Soil Biology and Biochemistry (2018) – Spatial microbial functions across riparian areas; widely referenced in nutrient cycling studies.

Conclusion

Dr. Laura Lozano de Sosa Miralles exemplifies the qualities of a leading soil and environmental sciences researcher, with significant contributions to sustainable agriculture and ecosystem resilience. Her scholarly achievements, including publications in top-tier journals, active participation in European and global research projects, and her innovative approaches to soil management, position her as a strong candidate for the Best Researcher Award. Her ongoing work under Horizon Europe demonstrates her potential to drive impactful advances in sustainable land management and climate-adaptive agriculture, ensuring her continued influence on scientific innovation and societal progress.

 

 

Lei Li | Biological Control | Best Researcher Award

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Dr. Lei Li | Biological Control | Best Researcher Award

Dr. Lei Li | Biological Control – Director at Environment and Plant Protection Institute, Chinese Academy of Tropical Sciences, China

Dr. Lei Li is a distinguished entomologist specializing in agricultural pest management, with a career dedicated to advancing sustainable solutions in plant protection. Based at the Environment and Plant Protection Institute of the Chinese Academy of Tropical Agricultural Sciences in Haikou, China, Dr. Li has consistently demonstrated a commitment to addressing critical pest-related challenges through interdisciplinary and applied research. His work emphasizes the biology and ecology of agricultural pests and the use of environmentally conscious control methods. Through strategic research collaborations, he has contributed meaningfully to the body of knowledge in entomology and pest science over more than a decade.

Academic Profile:

ORCID

🎓Education:

While detailed academic credentials are not publicly listed, Dr. Lei Li’s research record and publication standards suggest a rigorous academic background in agricultural sciences, most likely at the doctoral level. His expertise in molecular techniques, field entomology, and semiochemical ecology points to advanced postgraduate training in entomology, pest management, or plant protection. His academic background has clearly enabled him to conduct research at the intersection of biology, chemistry, and agriculture—hallmarks of a well-rounded and experienced researcher.

💼Experience:

Dr. Lei Li has built his professional experience within the Environment and Plant Protection Institute, under the prestigious Chinese Academy of Tropical Agricultural Sciences. In this role, he has contributed to multiple field and laboratory-based research projects, targeting critical agricultural pests through eco-friendly and sustainable pest control methods. His involvement includes everything from experimental design and data analysis to international collaboration and publication. His diverse work portfolio reflects both practical and scientific understanding, making him a key contributor to the improvement of pest control systems in tropical agriculture.

🔬Research Interests:

Dr. Lei Li’s primary research interests revolve around insect ecology, host-pest interactions, and the biological and chemical control of pest populations. He focuses particularly on understanding the effects of temperature, host plants, microbial interactions, and environmental cues on pest growth and behavior. His studies often investigate semiochemicals, biocontrol agents like parasitoid wasps, and the impact of agricultural practices on pest dynamics. These interests demonstrate a dedication to developing sustainable, non-chemical methods for pest suppression, vital in today’s climate-resilient agricultural landscape.

🏅Awards:

Although specific awards are not listed under Dr. Lei Li’s public ORCID profile, his consistent and impactful research output, involvement in multidisciplinary projects, and publication in high-impact journals position him as an ideal nominee for the Best Researcher Award. His work directly supports sustainable agriculture and aligns with the global scientific mission to reduce pesticide reliance. This nomination recognizes his dedication, scientific rigor, and long-term contributions to integrated pest management and insect behavioral research.

📚Publications:

  • 📘 2025 – Effect of pupation environment on pupal development and eclosion of chilli thrips, published in Environmental Entomology — Explores the effects of pupation environments on pest emergence.
  • 📖 2024 – Influence of Temperature and Host Plant on the Digestion of Frankliniella intonsa, in Insects — Uses molecular techniques to uncover pest digestion patterns.
  • 🔥 2023 – Semiochemicals Produced by Microbes in Mealybug Honeydew Attract Fire Ants, in the Journal of Agricultural and Food Chemistry — Investigates interspecies chemical signaling and ant behavior.
  • 🌱 2021 – Field evaluation of Spalangia endius Walker in controlling Zeugodacus cucurbitae, in International Journal of Pest Management — Field assessment of parasitoid-based control.
  • 🎯 2017 – Evaluation of chromatic cues for trapping Bactrocera tau, in Pest Management Science — Focuses on color-based attractants for fruit fly monitoring.
  • 🌾 2014 – Effect of temperature and grain type on s-methoprene efficacy against Rhyzopertha dominica, in Pest Management Science — Examines pest control under storage conditions.
  • 🪲 2010 – Effect of Temperature on the Population Growth of Rhynchophorus ferrugineus on Sugarcane, in Environmental Entomology — Early work on the red palm weevil’s thermal biology.

✅Conclusion:

In summary, Dr. Lei Li exemplifies excellence in agricultural entomology. His interdisciplinary expertise, application-driven research, and sustained publication record make him a deserving nominee for the Best Researcher Award. He has played a vital role in improving our understanding of pest behavior and developing biological and environmentally safe control measures. His work is not only academically significant but also directly relevant to improving food security and ecological sustainability. Recognizing his contribution through this award would highlight the importance of integrative pest management and celebrate a career marked by scientific integrity and impact.

 

 

Sedigheh Aghayari | Engineering | Best Researcher Award

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Ms. Sedigheh Aghayari | Engineering | Best Researcher Award

Ms. Sedigheh Aghayari | Engineering – Researcher at Amirkabir University of Technology, Iran

Dr. Sedigheh Aghayari is an emerging researcher in the field of nanotechnology, with a growing portfolio of research contributions related to nanofibers, piezoelectric nanogenerators, and advanced material characterization. Her work is distinguished by a consistent focus on real-world applications, particularly in the energy and biomedical domains. With a strong foundation in polymer and nanoengineering, she brings creativity, innovation, and a deep technical understanding to her research. Her commitment to improving the performance and scalability of nano-devices underscores her role as a promising scientific contributor in the global research community.

Academic Profile:

Google Scholar

🟦Education:

Dr. Aghayari pursued her higher education at the Amirkabir University of Technology, one of the most esteemed engineering universities in Iran. Through her academic training, she developed a multidisciplinary understanding of material science, nanostructures, and electrical systems. Her coursework and research projects focused on nanofiber fabrication, polymer processing, and electrospinning techniques. These educational experiences laid the groundwork for her current research interests and enabled her to merge engineering principles with innovative nanotechnology solutions.

🟦Experience:

Professionally, Dr. Aghayari has engaged in academic and collaborative research projects involving nanomaterials and device engineering. She has worked on developing high-performance nanogenerators and refining measurement techniques for nanoweb porosity. With experience in both experimental research and scientific writing, she has contributed to international conferences and published in reputed journals. Her academic journey has also involved solo-authored and collaborative work, enhancing her ability to lead and contribute within interdisciplinary research teams.

🟦Research Interest:

Dr. Aghayari’s research interests lie at the intersection of nanofiber technology, piezoelectric materials, smart drug delivery, and acoustic energy harvesting. She has focused on enhancing the output of PVDF nanogenerators, exploring intelligent material design, and developing innovative methods to measure and optimize porosity in nanostructures. Her interests extend to biomedical applications, where she investigates electroporation combined with targeted drug release, aiming to improve cancer treatment technologies. Her work reflects a passion for solving critical challenges through nanotechnology innovation.

🟦Award Potential:

Though early in her academic journey, Dr. Aghayari’s consistent output, technical novelty, and interdisciplinary approach make her a strong candidate for the “Best Researcher Award.” While she has yet to receive a major international accolade, her growing citation index and research relevance position her well for recognition. She would also be a prime nominee for awards focused on emerging researchers, early-career scientific impact, or young innovation leadership in nanotechnology.

🟦Publications:

  • 📘 “PVDF Composite Nanofibers Applications” – Heliyon, 2022 | Cited by 25
  • 📗 “The Porosity of Nanofiber Layers” – Biocomposites – Recent Advances, 2022 | Cited by 11
  • 💊 “Electroporation with Intelligent Drug Delivery” – Results in Engineering, 2023 | Cited by 7
  • 🧵 “A Novel Method for Measuring the Porosity of Nanowebs” – Results in Materials, 2022 | Cited by 6
  • 🔋 “Investigating Output Voltage for Acoustic Nanogenerators with Graphene Ink Electrodes” – e-Prime, 2022 | Cited by 4
  • 📄 “PVDF Nanofibers Output Enhancing Methods: A Review” – Preprints, 2021 | Cited by 4
  • 💡 “Output Increasing Methods for PVDF Nanogenerators” – e-Prime, 2023 | Cited by 1

🟦Conclusion:

In conclusion, Dr. Sedigheh Aghayari exemplifies the qualities of a dedicated and visionary researcher. Her work represents a confluence of technical excellence and innovative thinking in the emerging field of nanotechnology. From enhancing nanogenerator efficiency to pioneering new porosity measurement methods, she continues to address real-world problems through scientific research. With an upward career trajectory, proven academic rigor, and a commitment to knowledge creation, Dr. Aghayari is well-deserving of the Best Researcher Award or similar recognitions celebrating early-career scientific excellence.

 

 

 

Mehmet Osman Devrim | Acoustic Classification | Best Researcher Award

Published on by Awards and Recognitions

Mr. Mehmet Osman Devrim | Acoustic Classification | Best Researcher Award

Mr. Mehmet Osman Devrim | Acoustic Classification – Academic Staff at Duzce University, Turkey

Mehmet Osman Devrim is an early-career academic and researcher affiliated with Düzce University, Turkey. With a focused background in artificial intelligence and data systems, he has made meaningful contributions to emerging technologies such as machine learning, deep learning, and facial expression recognition. His work emphasizes the intersection of intelligent systems and real-world applications, particularly in education and healthcare. He is known for a collaborative spirit, often co-authoring with researchers from prominent institutions like Muğla Sıtkı Koçman University and Istanbul Technical University. His research, though still growing in volume, has already made a measurable impact in scholarly circles.

Academic Profile:

Google Scholar

Education:

Mehmet Osman Devrim holds an academic background in Computer Engineering and Information Systems, with formal training in computational intelligence, software engineering, and applied mathematics. His education equipped him with strong foundations in algorithmic thinking, data analytics, and neural networks—skills that have formed the basis of his work in machine learning and image processing. His academic journey reflects a continuous evolution toward research-driven problem-solving in both academic and applied domains.

Experience:

Currently positioned at Düzce University, Devrim is engaged in both teaching and research. His experience includes working on interdisciplinary research projects involving facial emotion recognition, wireless sensor networks, and medical image compression. He has presented his work at international conferences and collaborated with established professors across multiple universities. His academic journey reflects a balance between experimental research and practical implementation in educational systems, healthcare technology, and network performance analysis.

Research Interests:

Mehmet Osman Devrim’s primary research interests are rooted in Data Mining, Machine Learning, Deep Learning, and Computer Vision. He is particularly focused on applications such as Facial Expression Recognition, Image Compression, and AI in Education. His passion lies in integrating machine learning algorithms with human-centered applications, especially in enhancing e-learning platforms and compressing complex medical imaging data. These interests align closely with global trends in AI-powered education and healthcare informatics.

Awards:

While Devrim has yet to receive major individual awards, his academic contributions—particularly his highly cited publication on facial emotion recognition in e-learning—have gained significant attention. The research community’s recognition of his work through citations and collaborations reflects his emerging impact. He is a strong candidate for awards recognizing Promising Researchers, Young Scientists, or Best Emerging Academics, given his performance, focus, and growth potential.

Publications:

  1. 📘 “Use of Facial Emotion Recognition in E-Learning Systems” (2017)
    Published in: National Academy of Pedagogical Sciences, Ukraine – Institute of Information Technologies and Learning Tools
    Cited by: 80
    👉 A cornerstone paper integrating AI into education systems by detecting learners’ emotional states.
  2. 📡 “Performance Analysis of ZigBee Protocol in the Large-Scale Network Topologies” (2018)
    Published in: International Journal of Computer Applications
    Cited by: 1
    👉 Focused on communication efficiency and scalability in wireless sensor networks.
  3. 🏥 “A Comparative Study on Compressing Medical Images Using Different Algorithms” (2017)
    Presented at: International Conference on Technology, Engineering and Science (ICONTES’17)
    Cited by: 1
    👉 Investigated how various compression techniques affect diagnostic-quality imaging.

Conclusion:

In summary, Mehmet Osman Devrim is a dedicated and promising researcher whose academic path is marked by innovation, collaboration, and the practical application of AI technologies. His impactful publication on emotion recognition in e-learning systems has already positioned him as a researcher of interest in educational technology circles. While his h-index (1) and i10-index (1) are modest, they reflect the early stage of a career that is clearly on the rise, with 82 total citations to date. With continued scholarly activity and growing influence, Devrim is an ideal candidate for “Best Researcher Award” (Emerging Category) or similar honors. His research contributions are aligned with the global need for intelligent, human-centered technology, making his work both relevant and forward-looking.

 

 

Fazeela Siddiqui | Image | Best Researcher Award

Published on by Awards and Recognitions

Ms. Fazeela Siddiqui | Image | Best Researcher Award

Ms. Fazeela Siddiqui | Image – PhD Scholar at Tianjin University, China

Fazeela Siddiqui is a highly driven and intellectually curious researcher whose work is making a transformative impact in the field of deep learning, artificial intelligence, and digital forensics. Her specialization in deepfake detection and medical imaging through advanced neural network models positions her as an emerging expert in the fusion of AI with real-world applications. With a strong academic foundation and a consistent trajectory of high-quality publications, Siddiqui exemplifies research excellence, innovation, and global collaboration. Her work contributes to tackling some of the most pressing technological and ethical issues in the digital world, including misinformation and healthcare diagnostics, all while maintaining strong academic rigor and technical depth.

Academic Profile:

ORCID

🎓 Education:

Her educational journey has been marked by a consistent climb toward excellence. She is currently pursuing a Ph.D. in Information & Communication at Tianjin University, China, where she is engaging in cutting-edge research that merges artificial intelligence with security and healthcare applications. Before this, she earned a Master of Engineering in Electronics & Communication from Liaoning University of Technology, which strengthened her grasp on signal processing and embedded systems. Her academic career began with a Bachelor’s degree in Electronics from Dawood University of Engineering and Technology, where she cultivated a strong foundation in circuit design, programming, and telecommunication systems. Each academic milestone has played a vital role in shaping her into a multidimensional researcher who bridges theoretical understanding with applied innovation.

💼 Experience:

In terms of professional experience, Fazeela Siddiqui has been actively involved in collaborative research projects that span multiple disciplines and global institutions. Working closely with international teams, she has contributed to the development and evaluation of neural networks for deepfake video detection, medical image fusion, and dual-energy X-ray processing. Her roles in these projects have not only involved data analysis and model development but also co-authoring journal articles, conducting peer reviews, and participating in collaborative writing across diverse research groups. This hands-on experience in multidisciplinary research has allowed her to build a robust skill set that includes machine learning, computer vision, and bioinformatics, while also cultivating leadership potential in team-based scientific innovation.

🔬 Research Interest:

Siddiqui’s primary research interests include deepfake detection using convolutional neural networks (CNNs), cross-vision transformers (ViTs), emotion detection algorithms, and advanced medical image fusion methods. Her work is situated at the intersection of cybersecurity, artificial intelligence, and medical informatics. She is particularly interested in building AI models that are interpretable, accurate, and resistant to adversarial attacks—making her research highly relevant to both digital safety and diagnostic reliability. Her interest also extends to real-time AI deployment, ensuring that the models she develops can be applied in practical, real-world scenarios.

🏅 Award:

In recognition of her continuous efforts, Fazeela Siddiqui has received nominations for prestigious research acknowledgments. Her groundbreaking publications, collaborations with leading academics, and commitment to scientific advancement make her a strong contender for competitive awards. Her emerging role in the AI research community is underpinned by academic excellence, problem-solving rigor, and forward-thinking innovation.

📚 Publications:

  1. 📄 Diffusion model in modern detection: Advancing Deepfake techniques (2025, Knowledge-Based Systems) – Cited by 14 articles.
  2. 🧠 Enhanced deepfake detection with DenseNet and Cross-ViT (2025, Expert Systems with Applications) – Cited by 11 articles.
  3. 🧬 Advanced deepfake detection with enhanced ResNet-18 and multilayer CNN max pooling (2025, The Visual Computer) – Cited by 10 articles.
  4. 🩺 Enhancing registration accuracy of multispectral breast images using Vision Transformer and LSTM (2025, Scientific Reports) – Cited by 9 articles.
  5. 🔍 Optimizing dual-energy X-ray image enhancement using a novel hybrid fusion method (2024, Journal of X-Ray Science and Technology) – Cited by 7 articles.
  6. 😊 A Comparative Analysis of Emotion Detection Techniques (2023, Journal of Informatics Electrical and Electronics Engineering) – Cited by 6 articles.

🔚 Conclusion:

In conclusion, Fazeela Siddiqui is a rising academic star with an impressive portfolio of interdisciplinary research achievements. Her ability to address complex challenges at the intersection of AI and society makes her a valuable contributor to global knowledge systems. She represents the next generation of scholars capable of creating intelligent technologies that are ethical, impactful, and human-centered. Her scholarly contributions and collaborative mindset make her exceptionally well-suited for the Best Researcher Award, and this nomination is a timely recognition of her promising academic journey and future potential.