Ahmed Kheir | Sustainable Agriculture | Research Excellence Award

Published on by Natural Scientist Awards

Ahmed Kheir | Sustainable Agriculture | Research Excellence Award

Agricultural Research Center | Egypt

prof. Ahmed Kheir is a Professor specializing in Artificial Intelligence, modeling, remote sensing, and machine learning for agriculture and climate studies, and is widely recognized as a leading expert in smart agriculture. His work integrates AI, remote sensing, and data-driven modeling to address global challenges in sustainable farming, agroforestry, food security, and climate resilience. With strong expertise in crop modeling, big data analytics, and digital agriculture, he has developed innovative technological solutions that enhance agricultural productivity, optimize resource use, and support climate adaptation across diverse agro-ecological environments.

Citation Metrics (Scopus)

40003000

2000

1000

0

Citations
3924

Documents
69

h-index
30


View Google Scholar Profile
 View Scopus Profile
 View Orcid Profile

Featured Publications

Ali Ahmad | Soil Science | Best Paper Award

Published on by Natural Scientist Awards

Ali Ahmad | Soil Science | Best Paper Award

Agriculture | Pakistan

Dr. Ali Ahmad is an accomplished agronomist with extensive experience across the full spectrum of agricultural crop management, from sowing and harvesting to post-harvest operations, along with expertise in report writing, farmer training, and national and international collaboration. He has contributed significantly to research through major projects on vermicomposting funded by HEC-NRPU and the Pak–Turk Researchers’ Mobility Grant Program, focusing on sustainable agriculture and agricultural waste management. His academic experience includes roles as Research Assistant, Researcher, Teaching Assistant, and Intern at leading agricultural institutions. Currently serving as Scientific Officer (Agronomy) at the Arid Zone Research Institute, Bhakkar, he has been recognized for academic excellence with a Bronze Medal awarded by the Governor of Punjab. His scholarly output includes numerous research and review articles, a book, book chapters, and popular science articles published in both English and Urdu.

Citation Metrics (Scopus)

600500

400

300

200

100

0

Citations
534

Documents
42

h-index
12

Citations
Documents
h-index


View Scopus Profile View orcid Profile

Featured Publications

Daniel Jiménez Desmond | Earth Science | Research Excellence Award

Published on by Natural Scientist Awards

Daniel Jiménez Desmond | Earth Science | Research Excellence Award

Universidade de Vigo | Spain

MR. Daniel Jiménez Desmond is a conservation scientist and technician specializing in the conservation and restoration of cultural heritage, with particular expertise in painting materials, analytical characterization, and degradation processes. His research focuses on wall paintings, especially pigments and binders, including the evaluation of nano-silica–based binders for chromatic reintegration in lime-based systems, assessing their compatibility, durability, and reversibility. He has extensive experience applying advanced analytical techniques such as polarized light microscopy, X-ray diffraction, infrared and Raman spectroscopy, SEM-EDS, and multi-hyperspectral imaging, and has collaborated on national and international projects addressing laser–material interactions in wall paintings. His professional work includes the conservation of easel paintings, archaeological materials, historic wall paintings, and stone and brick architecture, as well as the rehabilitation of protected heritage buildings, often with responsibility for project coordination and team management. He has published multiple peer-reviewed scientific articles, participated in international conferences, and contributed to major conservation interventions on culturally significant sites.

Citation Metrics (Google Scholar)

100
80
60
40
20
0

Citations
59

Documents
14

h-index
1


View Google Scholar Profile View Orcid Profile View Scopus Profile

 

Guangkun Ma | Geospatial Analysis | Research Excellence Award

Published on by Natural Scientist Awards

Guangkun Ma | Geospatial Analysis | Research Excellence Award

Shenyang University of Technology | China

Dr. Guangkun Ma received a Bachelor of Engineering in Computer Software from Shenyang University of Technology in 2000, followed by a Master of Engineering in Computer Application from the same institution in 2003, and later earned a Doctor of Engineering in Computer Application from Northeastern University in 2021. His academic and research work focuses on computer programming, data structures and algorithm optimization, medical image analysis, and geographic information systems, with an emphasis on applied research and technological innovation. Over the course of his career, he has achieved notable scientific and technological outputs, including the authorization of three national patents and five software copyrights, reflecting strong capabilities in transforming research成果 into practical applications. He has published nine academic papers in reputable domestic and international core journals and conference proceedings, contributing to advancements in computer application technologies and interdisciplinary research. In terms of research projects, he has served as the principal investigator for one research project funded by the Education Department of Liaoning Province and has actively participated in both national-level and provincial-level research projects, gaining extensive experience in collaborative scientific research and project implementation.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
33

Documents
10

h-index
4


View Scopus Profile

Featured Publications

 

Veluru Sridevi | Renewable Energy | Best Researcher Award

Published on by Natural Scientist Awards

Veluru Sridevi | Renewable Energy | Best Researcher Award

Andhra University | India

Dr. V. Sridevi is a Professor in the Department of Chemical Engineering at Andhra University College of Engineering (A), Andhra University, Visakhapatnam, with over 22 years of teaching experience and more than 19 years of research expertise. She has made significant contributions to the field of Industrial Pollution and Control Engineering through her focused work on sustainable waste management and clean energy technologies. Her research spans diverse and impactful areas including upgradation of plastic solid waste into fuels and chemicals using plasma-assisted pyrolysis platforms, biodegradation processes, bioreactor design, biosorption techniques, and biodiesel production. She has successfully completed two major sponsored research projects supported by UGC and NTPC, reflecting strong industry and institutional collaboration. Dr. Sridevi has played a pivotal role in academic mentoring, having guided 64 M.Tech students and supervised 13 doctoral scholars, with nine PhD degrees awarded under her supervision.

Citation Metrics (Google Scholar)

2500

2000

1500

1000

500

0

Citations
2491

Articles
2

h-index
28


View Google Scholar Profile

Featured Publications


Metabolic pathways for the biodegradation of phenol


– Int. J. Environmental Science & Technology, 2012 (99 citations)


A review on integrated solid waste management


– Int. J. Environmental Science & Technology, 2012 (77 citations)

 

Ji Zhu | Energy Policy | Research Excellence Award

Published on by Natural Scientist Awards

Mr. Ji Zhu | Energy Policy | Research Excellence Award

Mr. Ji Zhu | School of International Relations and Public Affairs, Shanghai International Studies University | China

Mr. Ji Zhu’s research focuses on advancing the understanding of renewable energy transition in Arab countries, particularly in regions where the economic structure remains heavily dependent on fossil fuels. His scholarly contributions examine the underlying political, economic, and technological dynamics that influence the pace and direction of clean energy adoption. By exploring policy frameworks, governance challenges, and market mechanisms, his work identifies leverage points that can drive effective transformation of energy systems in resource-dependent economies. His publication, “Decoding the Paradoxical Drivers of Renewable Energy Transition in Arab Countries,” highlights the complex interplay of motivations behind renewable energy investments, including the pursuit of economic diversification, environmental commitments, and geopolitical considerations. Through rigorous analysis, he emphasizes the risks of carbon lock-in, demonstrating how current dependencies on conventional energy can hinder progress if not addressed through proactive policymaking. His research provides valuable insights into how nations can overcome these obstacles by implementing strategic reforms and fostering innovation within the energy sector. By combining data-driven evaluation with policy-oriented recommendations, his work contributes to strengthening national and regional climate strategies aligned with global sustainability goals. The practical implications of his findings make his research highly relevant to governments, international organizations, and stakeholders striving to accelerate low-carbon development. His contributions enhance collective understanding of the challenges and opportunities in transitioning from fossil fuel reliance to renewable energy futures across the Arab region, positioning him as a strong contributor to ongoing global discussions on sustainable energy transformation.

Profile: ORCID

Featured Publication

Qian, X., & Zhu, J. 2025. Decoding the paradoxical drivers of renewable energy transition in Arab countries.

 

Yingying Wu | Genetic Research | Research Excellence Award

Published on by Natural Scientist Awards

Assoc. Prof. Dr. Yingying Wu | Genetic Research | Research Excellence Award

Research Director‌ | Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences | China

Assoc. Prof. Dr. Yingying Wu is a dedicated researcher whose work focuses on the genetic breeding of industrialized edible mushrooms and the synthetic biology of active natural products from macrofungi, contributing significantly to biotechnology, functional food development, and mushroom-based pharmaceutical innovation. Her research explores the improvement of mushroom strains to enhance production efficiency, nutritional composition, and bioactive properties valuable for human health. She has contributed to metabolic profiling studies of Cordyceps militaris, identifying optimal consumption periods to maximize functional health effects and sensory qu`ality, providing scientific foundations for promoting mushroom products as high-value nutraceuticals. Her work on the cloning, characterization, and functional analysis of novel fungal immunomodulatory protein genes, such as those found in Ganoderma leucocontextum, demonstrates the therapeutic potential of macrofungi-derived biomolecules in immune regulation and cancer-related cellular functions. Additionally, she has advanced understanding of reproductive biology and nuclear behavior in edible mushroom strains through studies on protoplast monokaryotization and asexual spore isolation in Flammulina filiformis, supporting efficient breeding technologies for industrial cultivation. By integrating molecular biology, metabolic analysis, and applied breeding strategies, she contributes to creating sustainable and innovative mushroom-derived products, strengthening the link between food technology and biomedical research. Her scientific outputs reflect meaningful contributions to both fundamental mycological research and practical industrial applications, positioning her as a promising leader in the field of macrofungi biotechnology, functional active compound discovery, and future health-focused bioindustries.

Profile:  Scopus  |  ORCID

Featured Publications

Wang, Y., Zhang, R., Li, Y., Wu, Y., Gong, M., Shao, Y., Wang, L., Li, W., & Zou, G. (2026). Metabolic profiles reveal the preferable consumption time of Cordyceps militaris dried products with the optimal health effects and flavors. Journal of Future Foods, 6(4), 642–655.

Yang, J., Jin, M., Zhang, L., Wu, Y., & Zhou, X. (2025). Characterization and functional analysis of a novel fungal immunomodulatory protein gene from Ganoderma leucocontextum in B16-F10 mouse melanoma cells. International Journal of Molecular Sciences, 26(11), 5063.

Wu, Y., et al. (2025). Nuclear partial segregation occurred in protoplast monokaryotization and asexual spore monosporous isolation of wild strains of Flammulina filiformis. Mycosystema.

 

Xu Zhao | Edible Mushroom Resources | Research Excellence Award

Published on by Natural Scientist Awards

Mr. Xu Zhao | Edible Mushroom Resources | Research Excellence Award

Associate Researcher | Institution of Urban Agriculture, Chinese Academy of Agricultural Sciences | China

Mr. Xu Zhao is a highly promising researcher whose work demonstrates strong innovation, technical depth, and industry relevance across edible fungi biotechnology, intelligent cultivation systems, and functional product development. His research focuses extensively on edible fungus genetic breeding, where he integrates modern molecular biology, genomics, gene editing, protoplast fusion, mutation breeding, and molecular marker–assisted strategies to develop specialized varieties suited for industrialized and intensive production. Through comprehensive collection and evaluation of domestic and international germplasm resources, he establishes trait-specific gene libraries, core germplasm repositories, and cultivation trait databases that support high-yield and high-quality breeding programs. In parallel, he advances the field of factory-scale edible fungi cultivation by designing intelligent equipment systems, IoT-based monitoring tools, and automated environmental control technologies for substrate preparation, inoculation, mycelial growth, fruiting management, harvesting, and preservation. His work in optimizing environmental parameters such as temperature, humidity, light, and CO₂ enables precise and efficient production models, supported by collaborations with industrial partners to promote technology integration and real-world application. Additionally, he contributes to the extraction and characterization of bioactive components from edible fungi, focusing on physicochemical properties, physiological functions, and pharmacological mechanisms. His efforts include development of advanced extraction processes, improvement of processing technologies, and exploration of new functional products spanning foods, nutraceuticals, pharmaceuticals, and cosmetics. Although his citation record is still at an early stage, his research achievements demonstrate significant potential for advancing agricultural biotechnology, sustainable production systems, and the health product industry, positioning him as a strong emerging contributor to excellence in research.

Profile: Scopus

Featured Publications

Zhao, X. (n.d.). Research progress on nutritional components, functional active components, and pharmacological properties of Floccularia luteovirens.

 

Dan li | Smart Energy System | Research Excellence Award

Published on by Natural Scientist Awards

Dr. Dan li | Smart Energy System | Research Excellence Award

Dr. Dan li | China Three Gorges University | China

Dr. Dan Li is an accomplished researcher in intelligent energy systems, with a strong focus on optimal scheduling, risk measurement, and intelligent decision-making for multi-energy systems operating under a high proportion of renewable energy. His work addresses the increasing complexity and uncertainty of modern power grids by developing advanced computational approaches that integrate artificial intelligence with domain-specific physical principles. Through three significant completed and ongoing research projects, he has contributed to flexible resource regulation and control technology for new-energy pumped storage power stations, the development and application of key technologies for grid-connected performance testing and analysis of renewable energy stations, and the functional debugging and data-processing framework for intelligent network-source coordinated control and risk early-warning decision-making platforms. His key scientific contribution lies in accurately defining the physical constraints, operational limits, and security boundaries of unit commitment and economic dispatch problems, and translating these elements into optimization objectives and state spaces suitable for advanced algorithms. Dr. Li introduced a physics-informed exploration strategy for deep reinforcement learning by embedding prior knowledge, including power-flow equations and unit ramp-rate constraints, directly into the reward design, reducing invalid exploration and improving algorithmic convergence by over 50 percent. This approach demonstrates a powerful integration of domain expertise and advanced computational tools, contributing significantly to enhancing the reliability, efficiency, and intelligence of next-generation power systems. His published research, including his recent article on optimization solutions for power generation planning, reflects strong scientific rigor and technological relevance, reinforcing his position as a promising contributor to the advancement of intelligent and sustainable energy systems.

Profile: ORCID

Featured Publications

Li, D., Zhang, L., Mi, N., & Zhong, H. (2025). Optimization solution for unit power generation plan based on the integration of constraint identification and deep reinforcement learning. Processes.

 

Lianghai Wu | Sustainable Development | Research Excellence Award

Published on by Natural Scientist Awards

Prof. Lianghai Wu | Sustainable Development | Research Excellence Award

Professor | Anhui University of Technology | China

Prof. Lianghai Wu is a highly accomplished and influential researcher whose work spans accounting research methods, quantitative analysis, financial management, and the emerging intersections of ESG disclosure, green finance, auditing theory, and sustainable development. He has demonstrated strong leadership by serving as the principal investigator for two National Social Science Fund projects, along with several major and key provincial-level humanities and social science teaching reform initiatives, an Anhui University of Technology postgraduate first-class textbook construction project, and multiple provincial soft science projects. His research significantly advances understanding in corporate environmental performance, sustainability reporting quality, and the role of financial governance in promoting green development. Prof. Wu has also contributed to the methodological advancement of the field through his exploration of intelligent text big data accounting, integrating tools such as Stata and Python to enhance the precision and scalability of empirical analysis. His extensive scholarly output includes more than ten monographs and textbooks and over one hundred peer-reviewed papers, reflecting both productivity and long-term dedication to research excellence. His work is regularly recognized by national and provincial academic institutions, evidenced by his involvement in expert databases for the National Social Science Fund, Ministry of Education dissertation evaluations, China Postdoctoral Science Foundation project reviews, and Anhui Provincial Science and Technology Department assessments. With impactful publications, including recent analyses of ESG information disclosure and corporate environmental performance, Prof. Wu’s contributions continue to shape contemporary discourse in accounting, sustainable finance, and environmental governance, establishing him as a leading figure highly suitable for competitive research awards.

Profile: ORCID

Featured Publications

Wu, L., Sun, H., & Chen, L. (2025). The impact of ESG information disclosure on corporate environmental performance: Evidence from China’s Shanghai and Shenzhen A-share listed companies. Sustainability.