Dani Sarsekova | Agricultural Science | Outstanding Scientist Award

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Prof. Dr. Dani Sarsekova | Agricultural Science | Outstanding Scientist Award

Central Asia | Kazak National agrarian research university | Kazakhstan

Prof. Dr. Dani Sarsekova is an accomplished researcher specializing in groundwater sustainability, environmental hydrology, and natural resource management, with a strong emphasis on the unique ecological and hydrogeological conditions of Central Asia. Her work addresses some of the region’s most pressing environmental challenges, including water scarcity, aquifer depletion, climate change impacts, and the urgent need for sustainable watershed management in arid and mountainous environments.Her research on groundwater systems in the Zhambyl Region of Southern Kazakhstan highlights her expertise in evaluating aquifer characteristics, groundwater recharge processes, and water resource pressures caused by agricultural expansion and climatic variability. This work provides scientifically grounded recommendations for improving groundwater use efficiency and strengthening long-term sustainability. Through comprehensive hydrochemical assessments, spatial mapping, and environmental diagnostics, she contributes vital knowledge to policy frameworks involving regional water management.Beyond groundwater studies, Prof. Sarsekova is deeply engaged in hydrological comparisons of river basins. Her research includes an influential comparative assessment of mountainous river basins in the Kyrgyz–Kazakh region with similar basins in Australia, Canada, and the United States, showcasing her ability to situate Central Asian ecosystems within a global context. This comparative approach enhances understanding of water cycle behavior, watershed resilience, and environmental stress responses across diverse climatic zones.Her broader research portfolio spans integrated natural resource management, climate resilience, land–water interactions, soil–water dynamics, ecological vulnerability, and environmental sustainability assessments. She frequently collaborates with international teams to develop science-based solutions for environmental restoration, sustainable agriculture, and climate-adapted resource use.With a steadily growing corpus of publications, rising citations, and active involvement in multidisciplinary scientific networks, Prof. Dr. Dani Sarsekova is recognized as a significant contributor to advancing sustainable hydrology, groundwater conservation, and environmental resilience in Kazakhstan and the wider Central Asian region. Her work plays a crucial role in shaping sustainable strategies for water-dependent ecosystems under escalating environmental pressures.

Profiles: Scopus | ORCID

Featured Publications

  • Adenova, D., Sarsekova, D., Absametov, M., Murtazin, Y., Sagin, J., Trushel, L., & Miroshnichenko, O. (2024). The study of groundwater in the Zhambyl Region, Southern Kazakhstan, to improve sustainability. Sustainability, 16(11), 4597. https://doi.org/10.3390/su16114597

  • Sarsekova, D. N., Balakanova, A. S., Obizinskaya, E. V., Yesmurzayeva, A. K., & Librik, A. A. (2018). Influence of protective forest plants on soil fertility in agrarian landscapes (on the example of the Piskarev peasant household of Pavlodar). Herald of Science of S. Seifullin Kazakh Agro Technical University, No. 2(97).

  • Sarsekova, D. N., & Gudynaitė, V. (2014). Genotypic variation and heritability of growth and adaptive traits, and adaptation of young poplar hybrids at the northern margins of natural distribution of Populus nigra in Europe. Biomass & Bioenergy, 70, 513–529. (as mentioned on her profile)

  • Maissupova, I. K., Sarsekova, D. N., Weger, J., & Bubeník, J. (2017). Comparison of the growth of fast-growing poplar and willow in two sites of Central Kazakhstan. Journal of Forest Science, 63(5), 239–244. https://doi.org/10.17221/101/2016-JFS

  • Sarsekova, D. N., Maissupova, I. K., & Boranbay, Z. T. (2017). Determination of reserves of phytomass and circannual deposition of fast-growing wood species in Central Kazakhstan. Ecology, Environment and Conservation, 23(1), 256–261.

Maedeh Azadi Moghadam | Artificial Intelligence | Best Researcher Award

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Dr. Maedeh Azadi Moghadam | Artificial Intelligence | Best Researcher Award

Biomedical Engineer | Semnan University | Iran

Dr. Maedeh Azadi Moghadam is an emerging researcher whose work advances the fields of biomedical engineering, neurotechnology, and human–machine interaction, with a particular focus on developing more reliable and human-centered brain–computer interface (BCI) systems. Her research interests span neural signal processing, SSVEP-based BCI optimization, cognitive fatigue detection, biomarker-based performance measurement, and the integration of physiological signals into more adaptive computational models. She is especially interested in understanding how fatigue and cognitive variability influence BCI accuracy, and her work aims to design intelligent systems capable of adjusting in real time to user states, ultimately improving usability for rehabilitation, assistive technologies, and next-generation neuroengineering applications. Dr. Moghadam’s research skills include biosignal analysis, EEG processing, feature extraction, algorithmic modeling, quantitative measurement techniques, and scientific writing, demonstrating her multidisciplinary strengths across engineering and neuroscience. According to Scopus, she has 3 indexed documents, 2 citations, and an h-index of 1, reflecting growing visibility and early academic impact in her domain. Although no formal awards or honors are listed for her in the available Scopus record, her contributions to innovative metrics—such as a continuous fatigue index for SSVEP-based BCI performance—highlight her potential for future recognition in neurotechnology and biomedical measurement science. Her publications demonstrate a commitment to improving the efficiency, accuracy, and adaptability of neuroengineering systems, particularly those intended for people with motor impairments or communication limitations. In conclusion, Dr. Maedeh Azadi Moghadam represents a promising researcher whose interdisciplinary work is helping shape the future of intelligent BCIs, cognitive state monitoring, and biomedical signal-driven technologies. Her expanding scientific contributions, combined with her advancing research skill set, position her for continued impact in the global scientific community and future leadership in neurotechnology innovation.

Profiles: Scopus | Google Scholar | LinkedIn

Featured Publications

Azadi Moghadam, M., & Maleki, A. (2023). Fatigue factors and fatigue indices in SSVEP-based brain–computer interfaces: A systematic review and meta-analysis. Frontiers in Human Neuroscience, 17, 1248474. Citations: 33

Maleki, A., & Azadimoghadam, M. (2022). Fatigue assessment using frequency features in SSVEP-based brain–computer interfaces. Iranian Journal of Biomedical Engineering, 16(3), 229–240.
Citations: 4

Moghadam, M. A., & Maleki, A. (2023). Fatigue detection in SSVEP-based BCIs using biomarkers: A comparative study. 2023 31st International Conference on Electrical Engineering (ICEE), 496–500. Citations: 2

Azadi Moghadam, M., & Maleki, A. (2024). Comparative study of frequency recognition techniques for steady-state visual evoked potentials according to the frequency harmonics and stimulus number. Journal of Biomedical Physics and Engineering. Citations: 1

Moghadam, M. A., & Maleki, A. (2025). A continuous fatigue index based on biomarkers for SSVEP-based brain–computer interfaces. Measurement, 118598.

The Dr. Maedeh Azadi moghadam’s research advances global innovation in neurotechnology by improving the accuracy, stability, and human-centered design of brain–computer interface systems through biomarker-driven fatigue detection and advanced signal analysis. By enhancing the reliability of assistive technologies and cognitive monitoring tools, the nominee’s work contributes meaningful benefits to science, healthcare, and industry, ultimately supporting more accessible, intelligent, and high-performing human–machine interaction solutions for society.

 

Haris Mahboob | Veterinary Science | Best Researcher Award

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Dr. Haris Mahboob | Veterinary Science | Best Researcher Award

Student | National University of Sciences & Technology | Pakistan

Haris Mahboob is a dedicated and multidisciplinary researcher working across artificial intelligence, healthcare, molecular medicine, and veterinary biology, with a strong focus on integrating machine learning and deep learning into biomedical research. His research interests include AI-assisted disease diagnosis, oncology-focused predictive modeling, biomarker identification, drug discovery support, and computational analysis of imbalanced medical datasets. He is particularly engaged in developing intelligent systems that enhance early detection of complex diseases such as cancer and improve overall clinical decision-making. His research skills span association-rule mining, machine learning model development, handling imbalanced datasets using techniques like SMOTE, data preprocessing, statistical analysis, feature engineering, biomedical interpretation, and writing impactful scientific manuscripts. Haris has contributed to notable publications, including a study on identifying etiological factors of malignant mesothelioma using machine learning techniques in an imbalanced dataset, demonstrating his ability to merge clinical insight with informatics. His work on evaluating the effectiveness of a feed-based monovalent Aeromonas vaccine in farmed carp reflects his strength in immunology, microbiology, and applied animal health research. While specific awards or honors are not publicly documented, his growing body of research, multidisciplinary expertise, and involvement in high-quality studies highlight his academic promise and increasing recognition in his field. Based on available Scopus-indexed records of his two publications, his citation metrics indicate emerging research influence, with citations contributed primarily through his machine-learning-based oncology study. Although complete citation totals, exact document counts, and a verified h-index are not explicitly listed in public sources, his citation impact is steadily increasing as his work gains broader visibility. In conclusion, Haris Mahboob represents an early-career researcher with strong potential, actively bridging AI technologies with biomedical and veterinary sciences. His integrated approach to data-driven healthcare innovation positions him to make significant contributions in oncology research, diagnostic intelligence, and translational biomedical applications in the future.

Profiles: Scopus | ORCID | Google Scholar | LinkedIn

Featured Publications

Alam, T. M., Shaukat, K., Mahboob, H., Sarwar, M. U., Iqbal, F., Nasir, A., Hameed, I. A., & Luo, S. (2022). A machine learning approach for identification of malignant mesothelioma etiological factors in an imbalanced dataset. The Computer Journal, 65(7), 1740–1751.

Mubeen, N., Abbas, F., Hafeez-ur-Rehman, M., Crumlish, M., Mahboob, H., Akmal, M., Sadiqa, A., Alam, T. M., & Jalil, S. (2025). Effectiveness of feed-based monovalent Aeromonas vaccine in farmed carp. Microorganisms, 13(8), 1903.

The nominee’s work drives meaningful advancements at the intersection of science, society, and innovation by developing data-driven solutions that enhance healthcare, strengthen disease prevention, and support evidence-based decision-making. Through interdisciplinary research and forward-looking scientific contributions, the nominee is shaping impactful technologies that improve human and animal well-being while promoting global progress across biomedical, veterinary, and industrial sectors.

Solomon Legesse | Computer Science | Editorial Board Member

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Assoc Prof Dr. Solomon Legesse | Computer Science | Editorial Board Member

Postgraduate Coordinator | Bahir Dar University | Ethiopia

Dr. Solomon Addisu is a leading researcher in climate change, environmental systems, soil science, and sustainable land-use management, with a strong focus on Ethiopia and the broader East African region. His extensive body of work advances understanding of how climate variability, land degradation, agricultural systems, and natural resource pressures intersect to shape environmental sustainability and community resilience. Through more than a decade of scientific contributions, he has established himself as a significant voice in climate adaptation research, soil enhancement technologies, and watershed management.A central pillar of his research explores biochar technology, soil amendments, and nutrient cycling. His studies on water hyacinth-based biochar, phosphorus biofertilizers from animal bone, and the physicochemical transformations of biomass during pyrolysis offer pioneering insights into regenerative agriculture and soil rehabilitation. These works demonstrate the potential of low-cost, sustainable inputs to improve soil fertility, reduce acidification, enhance nutrient retention, and boost crop productivity—especially in degraded highland agroecosystems.Dr. Addisu is also widely recognized for his contributions to climate modeling, hydrological forecasting, and drought analysis. His research using CMIP6 scenarios, rainfall trend evaluations, and meteorological drought assessments provides vital actionable guidance for climate adaptation planning in vulnerable regions. He applies advanced geospatial tools, remote sensing, and machine learning to analyze land-use dynamics, watershed degradation, flood risks, and invasive species monitoring—most notably in the Lake Tana basin.Another core area of his work addresses environmental pollution, urban heat island effects, charcoal production impacts, and sustainable waste management solutions. His studies integrate socioeconomic, ecological, and policy perspectives, offering comprehensive frameworks for environmental governance, community-based adaptation, and nature-based solutions.Additionally, Dr. Addisu’s extensive research on climate change perceptions, rural livelihood vulnerabilities, agricultural resilience, and livestock diversification is widely cited in the fields of sustainable development and rural poverty reduction. His work equips policymakers and communities with evidence-based strategies to build resilience in the face of increasing climate stressors.Overall, Dr. Solomon Addisu’s research portfolio bridges environmental science, climate adaptation, soil restoration, and sustainable natural resource management. His contributions significantly strengthen scientific understanding and provide practical pathways toward ecological stability, food security, and climate-resilient development across Ethiopia and East Africa.

Profiles: ORCID

Featured Publications

  1. Kohira, Y., Fentie, D., Lewoyehu, M., Wutisirirattanachai, T., Gezahegn, A., Ahmed, M., Akizuki, S., Addisu, S., & Sato, S. (2025). The sustainable management of nitrogen fertilizers for environmental impact mitigation by biochar applications to soils: A review from the past decade. Environments.

  2. Fentie, D., Mihretie, F. A., Kohira, Y., Addisu Legesse, S., Lewoyehu, M., Wutisirirattanachai, T., & Sato, S. (2025). Optimizing cropping systems using biochar for wheat production across contrasting seasons in Ethiopian highland agroecology. Agronomy.

  3. Gezahegn, A., Selassie, Y. G., Agegnehu, G., Addisu, S., Mihretie, F. A., Kohira, Y., & Sato, S. (2025). Pyrolysis temperature changes the physicochemical characteristics of water hyacinth-based biochar as a potential soil amendment. Biomass Conversion and Biorefinery.

  4. Mekonnen, G. T., Berlie, A. B., Wubie, M. A., Legesse, S. A., & Cameselle, C. (2025). Surface urban heat island intensity and urban utility consumption: Impact analysis and projections. The Scientific World Journal.

  5. Addisu, S., Aniley, E., Gashaw, T., Kelemu, S., & Demessie, S. F. (2024). Evaluating the performances of gridded satellite products in simulating the rainfall characteristics of Abay Basin, Ethiopia. Sustainable Environment.

The nominee’s contributions in computer science advance intelligent systems that enhance automation, analytics, and digital decision-making across industries. Their innovative research accelerates global technological transformation, strengthens digital infrastructures, and drives smarter, more efficient solutions for society, businesses, and future technological innovation.

Birhanu Werku | Environmental Science | Editorial Board Member

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Mr. Birhanu Werku | Environmental Science | Editorial Board Member

Lecturer | Wollega University | Ethiopia

Birhanu Chalchisa Werku is a researcher focused on agricultural emissions, climate change, and sustainable development, particularly within the context of East Africa’s evolving environmental challenges. His work examines how agricultural activities—such as livestock production, fertilizer use, land conversion, and crop management—contribute significantly to greenhouse gas emissions and influence climate mitigation strategies across the region.A core component of his research involves evaluating the alignment of agricultural practices with Sustainable Development Goal 13 (Climate Action). He analyses how emission trends affect national and regional climate policies, identifying gaps in adaptation and mitigation frameworks. His contributions highlight the urgent need for low-carbon farming strategies, improved emission monitoring, and policy integration that supports climate-resilient agriculture.Werku’s publications explore themes such as climate-smart agriculture, environmental sustainability, emission reduction technologies, and agricultural policy reform, providing evidence-based insights for governments, development partners, and environmental agencies. His work emphasizes the interconnectedness of climate action with food security, rural livelihoods, and ecosystem protection.Through interdisciplinary collaboration and region-focused analysis, Werku advances scientific understanding of how sustainable agricultural transformation can support climate resilience in East Africa. His research contributes to shaping environmentally responsible policies that balance agricultural productivity with long-term ecological sustainability.

Profiles: Scopus 

Featured Publications

Werku, B. C., et al. (2025). Impact of agricultural emissions on goal 13 of the sustainable development agenda: An East African strategy for climate action. Environmental Sciences Europe.

The nominee’s work provides critical scientific insight into agricultural emissions and climate dynamics, supporting evidence-based strategies that advance global climate action. Their research directly strengthens environmental policy, sustainable development, and climate-resilient innovation for East Africa and beyond.

Emmanuel Fenibo | Agriculture | Best Researcher Award

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Dr. Emmanuel Fenibo | Agriculture | Best Researcher Award

Regulator | National Agency for Food and Drug Administration and Control | Nigeria

Emmanuel Oliver Fenibo is an emerging researcher in environmental microbiology, bioremediation, and microbial ecology, with a growing body of work dedicated to restoring polluted ecosystems through microbial-based solutions. His research focuses extensively on understanding how complex microbial communities contribute to the degradation of hazardous pollutants, particularly in oil-impacted environments such as those found in the Niger Delta. Through rigorous scientific inquiry, he explores the biochemical, ecological, and genomic factors that drive efficient biodegradation processes.A central component of his research examines the use of biopile remediation systems, where he investigates how organic materials—especially nutrient-rich agricultural wastes like chicken droppings—enhance microbial activity and support the breakdown of petroleum hydrocarbons. His work provides important evidence that low-cost, locally available organic amendments can significantly accelerate environmental cleanup while promoting soil recovery and microbial diversity. This contribution is especially valuable in regions facing chronic oil pollution and limited access to advanced remediation technologies.Fenibo’s integration of metagenomic tools amplifies his impact in environmental biotechnology. By applying next-generation sequencing technologies, he profiles microbial communities involved in biodegradation and identifies functionally important taxa, genes, and metabolic pathways. His metagenomic insights contribute to a deeper understanding of how microbial consortia respond to contamination stress and how their natural capabilities can be optimized for ecological restoration. His expertise in microbial community dynamics positions him at the intersection of molecular microbiology and applied environmental science.Beyond bioremediation, his broader research interests include microbial diversity, environmental monitoring, and sustainable waste management. His work supports the development of adaptive, eco-friendly remediation systems that align with global environmental sustainability goals. Fenibo’s research outcomes are relevant to policymakers, environmental agencies, and industrial stakeholders seeking scientifically grounded approaches to pollution mitigation.With a citation record reflecting consistent engagement from the scientific community, his contributions are gaining recognition for their practical significance and scientific rigor. Through multidisciplinary collaborations and problem-driven research, Emmanuel Oliver Fenibo advances knowledge that directly addresses environmental degradation, promotes sustainable remediation practices, and strengthens the scientific foundation for microbial applications in ecosystem restoration.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

Fenibo, E. O., & Matambo, T. (2025). Biopesticides for sustainable agriculture: Feasible options for adopting cost-effective strategies. Frontiers in Sustainable Food Systems, 9, 1657000.

Fenibo, E. O., Nkuna, R., & Matambo, T. (2025). Metagenomic insights into biopile remediation of petroleum-contaminated soil using chicken droppings in Rivers State, Nigeria. Bioinformatics and Biology Insights, 19, 11779322251371117.

Fenibo, E. O., Nkuna, R., & Matambo, T. (2024). Impact of artisanal refining activities on bacterial diversity in a Niger Delta fallow land. Scientific Reports, 14(1), 3866.

Fenibo, E. O., Selvarajan, R., Huiqi, W., Yue, W., & Abia, A. L. K. (2023). Untapped talents: Insight into the ecological significance of methanotrophs and its prospects. Science of the Total Environment.

Fenibo, E. O., Selvarajan, R., Abia, A. L. K., & Matambo, T. (2023). Medium-chain alkane biodegradation and its link to some unifying attributes of alkB genes diversity. Science of the Total Environment, 162951.

Emmanuel Oliver Fenibo’s research advances global sustainability by developing microbial and metagenomic solutions for pollution remediation, ecosystem restoration, and environmental protection. His work provides science-driven, low-cost strategies that support cleaner industries, safer communities, and innovative applications of microbiology in solving real-world environmental challenges.

Wen Zhang | Microbiology | Best Researcher Award

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D. Wen Zhang | Microbiology | Best Researcher Award

Nephrology attending physician | The First Affiliated Hospital of Zhejiang Chinese Medical University | China

Wen Zhang is an active and multidisciplinary researcher whose work centers on the pathophysiology, immunology, and metabolic regulation of kidney diseases, with a strong focus on the gut–kidney axis, microbiota-driven mechanisms, and emerging therapeutic strategies for diabetic nephropathy and chronic kidney disease (CKD). Her research explores how disruptions in intestinal microbiota composition contribute to oxidative stress, inflammation, fibrosis, immune dysregulation, and metabolic impairments that accelerate renal dysfunction.A major theme of Zhang’s work involves characterizing the role of microbial metabolites, such as short-chain fatty acids, in modulating inflammatory cytokines, renal cell signaling, epithelial integrity, and fibrotic pathways. Her studies highlight how gut dysbiosis exacerbates kidney disease progression and how microbiome-based interventions—such as probiotics, prebiotics, dietary modulation, and fecal microbiota transplantation (FMT)—have potential to restore homeostasis and protect kidney health. This positions her research at the forefront of therapeutic innovation linking microbiome science with nephrology.Zhang has contributed important findings in renal immunology, examining how immune activation, T-cell response patterns, and inflammatory cascades contribute to acute and chronic renal injury. She also investigates cross-organ interactions, especially the gut–lung–kidney axis, providing new perspectives on systemic inflammation and its impact on renal outcomes. Her work offers mechanistic insights into pathways involving NF-κB, TGF-β, oxidative stress mediators, and metabolic regulators that underlie fibrotic and inflammatory kidney diseases.In addition to mechanistic research, Zhang has coauthored several clinical case analyses that document rare or complex presentations of kidney-related autoimmune disorders, vasculitic syndromes, drug-induced injuries, and hematologic complications with renal involvement. These reports expand clinical understanding of unusual manifestations and guide improved diagnostic and therapeutic decision-making in nephrology practice.Her body of work consistently aligns molecular science with clinically relevant applications, strengthening the translational bridge between laboratory discovery and patient-centered kidney care. Through her contributions to journals such as Frontiers in Endocrinology, Frontiers in Immunology, Frontiers in Medicine, and Life Sciences, Wen Zhang advances global research on microbiome-driven disease mechanisms, renal immunology, and innovative therapeutic approaches for chronic metabolic and inflammatory kidney disorders.

Profiles: ORCID

Featured Publications

Jiang, H., Wang, X., Zhou, W., Huang, Z., & Zhang, W. (2025). Gut microbiota-derived short-chain fatty acids mediate the antifibrotic effects of traditional Chinese medicine in diabetic nephropathy. Frontiers in Endocrinology.

Jiang, H., Wang, X., Zhou, W., Huang, Z., & Zhang, W. (2025). Gut microbiota dysbiosis in diabetic nephropathy: Mechanisms and therapeutic targeting via the gut-kidney axis. Frontiers in Endocrinology.

Zhang, P., Zhang, W., Xia, H., Fn, Z., Fan, J., Ma, H., Zhang, C., & Liu, S. (2025). Case Report: A rare case of complex Behçet’s disease complicated with acute tubular necrosis and IgA nephropathy, coexisting with myelodysplastic syndrome, trisomy 8, and intestinal involvement. Frontiers in Immunology.

Wang, X., Zhou, W., Liu, X., Huang, Z., & Zhang, W. (2025). IL-11-mediated macrophage crosstalk drives renal inflammation and fibrosis: A novel therapeutic target in chronic kidney disease. Life Sciences.

Wang, X., Liu, X., Gong, F., Jiang, Y., Zhang, C., Zhou, W., & Zhang, W. (2025). Targeting gut microbiota for diabetic nephropathy treatment: Probiotics, dietary interventions, and fecal microbiota transplantation. Frontiers in Endocrinology.

Wen Zhang’s research advances global understanding of the gut–kidney axis, revealing how microbiota-driven pathways shape inflammation, fibrosis, and metabolic regulation in chronic kidney disease. Her innovative work bridges immunology, microbiome science, and translational nephrology, guiding the development of microbiota-based therapies that improve patient outcomes and support future breakthroughs in renal medicine and precision health.

Rasoul Yarahmadi | Environmental Science | Editorial Board Member

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Dr. Rasoul Yarahmadi | Environmental Science | Editorial Board Member

Professor | Iran University of Medical Sciences | Iran

Dr. Rasoul Yarahmadi is a distinguished researcher in the field of Occupational Health, Environmental Engineering, and Air Pollution Control, whose scientific contributions have significantly advanced industrial safety, pollution mitigation, and public health management. With over 1,500 citations, an h-index of 21, and an i10-index of 47, his impactful research bridges science and society by integrating innovative technologies with sustainable health and safety practices.His work spans multiple disciplines, emphasizing air pollution modeling, exposure assessment, health risk analysis, environmental management systems (HSE-MS), and non-thermal plasma-based pollutant control. Dr. Yarahmadi’s research has provided new frameworks for air quality improvement, chemical exposure control, and industrial hygiene, offering vital insights for safer and cleaner work environments.Notably, his highly cited studies—such as “Oxidative/Nitrosative Stress, Autophagy and Apoptosis as Therapeutic Targets of Melatonin in Idiopathic Pulmonary Fibrosis” and “Decomposition of Chlorinated Volatile Organic Compounds Using Non-Thermal Plasma Coupled with TiO₂/GAC Systems”—reflect his commitment to applying scientific innovation to human health and environmental preservation. His publications in Expert Opinion on Therapeutic Targets, Journal of Electrostatics, Safety Science, and Journal of Environmental Management demonstrate a balanced integration of toxicology, engineering, and occupational health.Dr. Yarahmadi’s research also advances risk management and safety optimization through methodologies like STAMP-fuzzy DEMATEL and fuzzy TOPSIS, helping industries make informed decisions in accident prevention, sustainability planning, and safety performance evaluation. His collaborative studies on nanomaterial exposure control, filtration systems, and ergonomic intervention have further contributed to improving occupational well-being and industrial air quality standards.Through interdisciplinary research and global collaborations, Dr. Yarahmadi continues to influence policies and practices in industrial hygiene, environmental protection, and sustainable occupational systems. His scientific vision focuses on developing data-driven, technology-enabled solutions for cleaner air, safer workplaces, and healthier communities, thereby strengthening the link between scientific innovation and societal well-being.

Profiles: Google Scholar

Featured Publications

Hosseinzadeh, A., Javad-Moosavi, S. A., Reiter, R. J., Yarahmadi, R., & others. (2018). Oxidative/nitrosative stress, autophagy and apoptosis as therapeutic targets of melatonin in idiopathic pulmonary fibrosis. Expert Opinion on Therapeutic Targets, 22(12), 1049–1061.
Citations: 110

Khadem, M., Faridbod, F., Norouzi, P., Rahimi Foroushani, A., Ganjali, M. R., & others. (2017). Modification of carbon paste electrode based on molecularly imprinted polymer for electrochemical determination of diazinon in biological and environmental samples. Electroanalysis, 29(3), 708–715.
Citations: 103

Abedi, K., Ghorbani-Shahna, F., Jaleh, B., Bahrami, A., Yarahmadi, R., & others. (2015). Decomposition of chlorinated volatile organic compounds (CVOCs) using NTP coupled with TiO₂/GAC, ZnO/GAC, and TiO₂–ZnO/GAC in a plasma-assisted catalysis system. Journal of Electrostatics, 73, 80–88.
Citations: 86

Gholami, P. S., Nassiri, P., Yarahmadi, R., Hamidi, A., & Mirkazemi, R. (2015). Assessment of Health Safety and Environment Management System function in contracting companies of one of the petro-chemistry industries in Iran: A case study. Safety Science, 77, 42–47.
Citations: 74

Abareshi, F., Yarahmadi, R., Solhi, M., & Farshad, A. A. (2015). Educational intervention for reducing work-related musculoskeletal disorders and promoting productivity. International Journal of Occupational Safety and Ergonomics, 21(4), 480–485.
Citations: 62

Dr. Rasoul Yarahmadi’s research in environmental and occupational health has transformed scientific understanding of air pollution control, risk assessment, and sustainable safety systems. His innovations empower industries to minimize emissions, protect public health, and advance global sustainability through data-driven, eco-conscious solutions.

 

José María Sánchez | Mathematics | Best Research Article Award

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Dr. José María Sánchez | Mathematics | Best Research Article Award

Profesor Titular | University of Cadiz | Spain

José María Sánchez-Delgado is an accomplished mathematician and researcher whose work spans the intricate domains of mathematical physics, algebraic geometry, and operator theory. His primary research explores the deep structural relationships among Lie algebras, graded Lie-Rinehart algebras, and symplectic Lie superalgebras, as well as the decomposition of linear operators in pre-Euclidean spaces. These topics represent fundamental pillars in the study of mathematical frameworks that describe physical systems, geometric symmetries, and analytical transformations.Sánchez-Delgado’s research contributions have significantly enriched the understanding of graded algebraic systems and their applications to modern geometry and physics. His studies on Lie-Rinehart algebras expand the algebraic foundations that connect derivations and differential operators, offering new approaches to algebraic modeling and geometric representation. Similarly, his investigations into symplectic Lie superalgebras with filiform modules reveal innovative algebraic architectures that enhance comprehension of symmetry principles and structure-preserving transformations in theoretical physics.His publication record, comprising 37 peer-reviewed papers with over 200 citations and an h-index of 8, reflects sustained scholarly influence and consistent intellectual advancement. Notable recent works include “Graded Lie-Rinehart Algebras,” “Quadratic Symplectic Lie Superalgebras with a Filiform Module as an Odd Part,” and “Decomposition of Linear Operators on Pre-Euclidean Spaces by Means of Graphs.” These studies collectively demonstrate his ability to combine abstract algebraic reasoning with geometric intuition and analytical rigor.Sánchez-Delgado’s approach emphasizes the interconnection between algebraic formalism and geometric interpretation, promoting the creation of mathematical tools that are both conceptually elegant and computationally applicable. By employing graph-based decomposition techniques and graded algebraic systems, he provides new perspectives for exploring operator dynamics, metric transformations, and structure-preserving mappings across various mathematical spaces.His collaborative works with international co-authors further contribute to advancing the theoretical landscape of mathematical physics and higher algebra. Through his insightful analyses and innovative methodologies, José María Sánchez-Delgado continues to strengthen the bridge between pure mathematics and applied theoretical sciences, advancing the global understanding of the mathematical structures that govern geometry, symmetry, and physical reality.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On split Leibniz algebras.
Citations: 56

Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On the structure of split Lie color algebras. Linear Algebra and its Applications, 436(2), 307–315.
Citations: 46

Albuquerque, H., Barreiro, E., Benayadi, S., Boucetta, M., & Sánchez-Delgado, J. M. (2021). Poisson algebras and symmetric Leibniz bialgebra structures on oscillator Lie algebras. Journal of Geometry and Physics, 160, 103939.
Citations: 23

Calderón, A. J., & Sánchez-Delgado, J. M. (2016). The structure of split regular BiHom-Lie algebras. Journal of Geometry and Physics, 110, 296–305.
Citations: 18

Calderón Martín, A. J., & Sánchez-Delgado, J. M. (2012). On the structure of graded Lie superalgebras. Modern Physics Letters A, 27(25), 1250142.
Citations: 16

Dr. José María Sánchez-Delgado’s research advances the theoretical foundations of Lie algebras, Leibniz structures, and Poisson systems, deepening the mathematical understanding that underpins modern physics, quantum theory, and computational modeling. His innovative contributions strengthen the bridge between abstract algebraic theory and real-world applications, fostering global progress in scientific computation, symmetry analysis, and mathematical physics.

Vasileios Lembessis | Physics | Best Researcher Award

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Prof. Vasileios Lembessis | Physics | Best Researcher Award

Professor | King Saud University | Saudi Arabia

Dr. Vassilis E. Lembessis is a leading physicist internationally recognized for his influential contributions to quantum optics, laser cooling and trapping, twisted light beams, and plasmonics. His research primarily investigates the interaction between atoms and structured light fields, exploring how the angular momentum, phase, and topology of light influence atomic dynamics and quantum behavior. With an extensive citation record exceeding 1,700 citations, an h-index of 18, and an i10-index of 34, his scientific work has profoundly shaped the theoretical and experimental frontiers of modern optical physics.A central theme of Dr. Lembessis’s research is the manipulation of ultracold atoms and quantum gases using complex optical fields. His highly cited papers, such as “Optical Ferris Wheel for Ultracold Atoms” and “Atoms in Complex Twisted Light,” have introduced groundbreaking models for controlling atomic motion through optical vortices and Laguerre–Gaussian beams. These studies have provided fundamental insights into optical angular momentum transfer, light-induced forces, and coherent control in atomic systems.Dr. Lembessis has also advanced the understanding of surface plasmon optical vortices, spin–orbit coupling in light beams, and light-induced torque in Bose–Einstein condensates, bridging the gap between classical electromagnetism and quantum phenomena. His research reveals how tailored light structures can generate new forms of atomic trapping, guiding, and rotation—paving the way for emerging technologies in quantum manipulation, photonic nanodevices, and precision measurement.His collaborative work with prominent researchers across global institutions continues to deepen the theoretical framework of light–matter interactions, addressing phenomena such as enhanced quadrupole effects, atomic vortex generation, and plasmonic field singularities. These investigations have implications not only for fundamental quantum theory but also for practical advancements in quantum computing, optical communications, and nanophotonics.Through his innovative and interdisciplinary approach, Dr. Vassilis E. Lembessis has become a prominent figure in contemporary physics, consistently expanding the boundaries of light–matter science and inspiring future exploration into quantum technologies and structured photonic systems that define the next generation of optical and quantum research.

Profiles: ORCID | Google Scholar

Featured Publications

  1. Jaouadi, A., Lyras, A., & Lembessis, V. E. (2025). Towards a Twisted Atom Laser: Cold Atoms Released from Helical Optical Tube Potentials. Photonics, 12(10), 999.

  2. Lembessis, V. E., Yuan, J., Köksal, K., & Babiker, M. (2025). Time dilation effects in micron-size rotating optical Ferris-wheel traps. Physical Review A.

  3. Babiker, M., Köksal, K., Lembessis, V. E., & Yuan, J. (2024). Intrinsic angular momentum, spin and helicity of higher-order Poincaré modes. Journal of Optics.

  4. Lembessis, V. E., & Andrews, D. L. (2024). Forces in the Interaction of Light with Matter. Applied Sciences.

  5. Alsaawi, N., Lembessis, V. E., Lyras, A., Babiker, M., & Yuan, J. (2024). Helicity of magnetic fields associated with non-relativistic electron vortex beams. Journal of Physics A: Mathematical and Theoretical.

Here are the APA-formatted references for the listed publications by Vassilis E. Lembessis and co-authors. Note: I couldn’t locate reliable citation counts or a verified h-index for each article at this time, so those fields are left blank.