Tohru Hirano | Computer Science | Editorial Board Member

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Mr. Tohru Hirano | 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.

 

Amna Ikram | Artificial Intelligence | Best Researcher Award

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Dr. Amna Ikram | Artificial Intelligence | Best Researcher Award

Senior Lecturer | Government Sadiq College Women University | Pakistan

Dr. Amna Ikram is an accomplished researcher recognized for her pioneering contributions in machine learning, image processing, Internet of Things (IoT), obstacle detection, and smart agriculture. Her work emphasizes the integration of artificial intelligence and data-driven technologies to develop intelligent, efficient, and socially impactful systems. With a citation count exceeding 170, an h-index of 7, and an i10-index of 5, Dr. Ikram’s scholarly record highlights her commitment to addressing modern challenges in automation, healthcare, and sustainable agriculture.Her research focuses on creating AI-enabled frameworks and hybrid computational models that enhance decision-making and predictive accuracy in real-world applications. In agriculture, her widely cited paper, “Crop Yield Maximization Using an IoT-Based Smart Decision System” (Journal of Sensors, 2022), presents a robust model for optimizing crop productivity using sensor data, environmental parameters, and predictive algorithms. This work has significantly influenced the development of precision agriculture and IoT-driven farming systems.Expanding her expertise into healthcare and assistive technologies, Dr. Ikram has contributed to several innovative studies such as “Forensic Radiology: A Robust Approach to Biological Profile Estimation from Bone Image Analysis Using Deep Learning” and “Transformer-Based ECG Classification for Early Detection of Cardiac Arrhythmias.” These contributions showcase her ability to blend AI with biomedical imaging for diagnostic advancements and patient support.Her recent publications, including “A DETR-Based Approach for Enhancing Object Detection in Assistive Technology for the Visually Impaired” and “AI-Enabled Vision Transformer for Automated Weed Detection,” highlight her continuous drive to apply machine learning and computer vision to enhance accessibility and agricultural efficiency. Furthermore, her exploration of fuzzy-optimized hybrid neural networks and IoT sensor integration has resulted in innovative frameworks for yield prediction, crop disease detection, and obstacle recognition.Dr. Ikram’s interdisciplinary approach bridges technology and sustainability. By merging deep learning, IoT infrastructure, and intelligent vision systems, her work supports the creation of smarter, adaptive environments that empower both humans and industries. Her research continues to advance the frontiers of AI-driven automation, smart agriculture, and assistive IoT technologies, contributing profoundly to sustainable innovation and societal betterment.

Profiles: ORCID | Google Scholar

Featured Publications

  1. Ikram, A., Aslam, W., Aziz, R. H. H., Noor, F., Mallah, G. A., Ikram, S., & Ahmad, M. S. (2022). Crop yield maximization using an IoT-based smart decision system. Journal of Sensors, 2022(1), 2022923.
    Citations: 71

  2. Batool, S. N., Yang, J., Gilanie, G., Latif, A., & Ikram, A. (2025). Forensic radiology: A robust approach to biological profile estimation from bone image analysis using deep learning. Biomedical Signal Processing and Control, 105.
    Citations: 19

  3. Malik, M., Ikram, A., Batool, S. N., & Aslam, W. (2018). A performance assessment of rose plant classification using machine learning. In Proceedings of the International Conference on Intelligent Technologies and Applications (pp. 745–756).
    Citations: 15

  4. Hassan, J. U., Missen, M. M. S., Firdous, A., Maham, A., & Ikram, A. (2023). An adaptive M-learning usability model for facilitating M-learning for slow learners. International Journal of Interactive Mobile Technologies, 17(19).
    Citations: 14

  5. Naveed, S., Husnain, M., Alsubaie, N., Samad, A., Ikram, A., Afreen, H., & Gilanie, G. (2024). Drug efficacy recommendation system of glioblastoma (GBM) using deep learning. IEEE Access.
    Citations: 13

Dr. Amna Ikram’s research bridges artificial intelligence, IoT, and data-driven innovation to create intelligent solutions that enhance agriculture, healthcare, and assistive technologies. Her pioneering work advances sustainable development, automation, and societal well-being through smart, human-centered innovations that connect science with real-world impact.

 

Xugui Sun | Education | Best Researcher Award

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Prof. Xugui Sun | Education | Best Researcher Award

Deputy Director | Wannan Medical College | China

Dr. Xugui Sun is a promising researcher specializing in public health, behavioral psychology, and epidemiological science, with a focus on understanding the psychological and social dimensions of health challenges. His interdisciplinary research integrates psychological theory, statistical analysis, and public health perspectives to explore how emotional, cognitive, and behavioral responses influence human adaptation in dynamic health and societal contexts.Dr. Sun has made meaningful contributions to scientific literature, with 11 publications, 32 citations across 31 documents, and an h-index of 3, reflecting the growing impact and recognition of his scholarly work. These achievements highlight his commitment to advancing research that bridges mental health, education, and preventive healthcare.One of his most notable works, “The Status and Influencing Factors of Death Anxiety among Chinese College Students under the COVID-19 Pandemic: A Cross-sectional Study,” published in BMC Public Health (2025), exemplifies his focus on mental health assessment during public health crises. This study investigates death anxiety and coping behavior among college students, offering valuable insights into psychological resilience and emotional adaptation under pandemic stress.Dr. Sun’s broader research interests include epidemiology, mental health measurement, psychosocial adaptation, emotional well-being, and health behavior dynamics. His analytical methods often combine quantitative and qualitative research to uncover key determinants of anxiety, stress, and coping across diverse populations. Through this approach, he aims to design evidence-based interventions that improve emotional stability, self-regulation, and awareness of mental health challenges.Collaboration and interdisciplinary engagement are central to Dr. Sun’s academic philosophy. Working alongside experts in psychology, sociology, and healthcare, he fosters research that contributes to community well-being and policy development. His growing citation profile underscores the influence of his work in shaping public health discussions on mental health resilience.By connecting behavioral science with applied public health strategies, Dr. Xugui Sun’s research provides a strong foundation for developing preventive frameworks, emotional resilience programs, and policies that promote mental wellness and social adaptation in the face of global health challenges.

Profiles: Scopus

Featured Publications

Sun, X. (2025). The status and influencing factors of death anxiety among Chinese college students under the COVID-19 pandemic: A cross-sectional study. BMC Public Health.

Dr. Xugui Sun’s research advances global understanding of mental health dynamics by integrating psychology and public health. His work contributes to developing evidence-based interventions that enhance emotional resilience, inform health policy, and strengthen societal well-being during global health crises.

 

Jack Ng Kok Wah | Public Health | Best Health Science Research Award

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Dr. Jack Ng Kok Wah | Public Health | Best Health Science Research Award

Senior Lecturer | Multimedia University | Malaysia

 

Dr. Jack Ng Kok Wah’s research lies at the intersection of artificial intelligence (AI), surgical innovation, and biomedical engineering, with a strong emphasis on developing AI-driven robotic systems that enhance precision, reduce surgical risks, and revolutionize patient outcomes. His body of work demonstrates a deep commitment to integrating machine learning algorithms and intelligent automation into modern surgical practices, thereby addressing one of the most critical needs in healthcare—precision and safety in complex procedures.A significant aspect of his research explores how robotic technologies and AI-assisted decision systems can transform traditional surgical approaches. By leveraging real-time data analytics, sensor fusion, and computer vision, Dr. Wah contributes to the design of systems that support surgeons in performing minimally invasive procedures with unprecedented accuracy. His work not only advances the technical frontiers of robotic surgery but also examines the broader ethical, clinical, and operational implications of implementing such technologies in real-world healthcare environments.Beyond surgical robotics, Dr. Wah’s research interests extend to digital health innovation, medical imaging, and intelligent clinical systems. He investigates how data-driven approaches can improve diagnostic accuracy, predict patient outcomes, and personalize treatment protocols. Through his publications, he emphasizes the transformative potential of AI to bridge gaps between human expertise and machine efficiency, promoting a synergistic model of healthcare delivery that enhances both safety and accessibility.With a growing citation record and interdisciplinary collaborations, Dr. Wah continues to contribute to the advancement of next-generation medical technologies that merge computing power with human insight. His vision encapsulates a future where AI and robotics are not merely tools but trusted partners in surgical and clinical decision-making, ultimately redefining standards of care in the medical field. His scholarly contributions reinforce his standing as a forward-thinking researcher committed to shaping the future of intelligent healthcare systems and precision surgery.

Profiles: Scopus | ORCID | Google Scholar | ResearchGate 

Featured Publications

  1. Wah, J. N. K. (2025). Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation. Journal of Robotic Surgery, 19(Article No. 47).
    Citations: 39

  2. Wah, J. N. K. (2025). Revolutionizing e-Health: The transformative role of AI-powered hybrid chatbots in healthcare solutions. Frontiers in Public Health, 13.
    Citations: 29

  3. Wah, J. N. K. (2025). The rise of robotics and AI-assisted surgery in modern healthcare. Journal of Robotic Surgery, 19(1), 311.
    Citations: 13

  4. Ng, J., Wah, K., Fitriana, M., & Arumugam, T. (2023). Assumptions for structural equation modeling (SEM), normality of data distribution analysis & model fit measures. In Normality of Data Distribution Analysis & Model Fit Measures.
    Citations: 12

  5. Wah, K., & Ng, J. (2025). AI-driven robotic surgery in oncology: Advancing precision, personalization, and patient outcomes. Journal of Robotic Surgery, 19(1), 1–11.
    Citations: 7

Dr. Jack Ng Kok Wah envisions a future where artificial intelligence and robotic systems seamlessly integrate into healthcare, enabling safer, smarter, and more precise surgical interventions. His pioneering research drives innovations that enhance patient outcomes, optimize clinical workflows, and redefine the frontiers of intelligent medicine.