Salomon Salumu Zahera | Hydrology | Research Excellence Award

Dr. Salomon Salumu Zahera | Hydrology | Research Excellence Award

Associate Professor | National Institute of Building and Public Works | Democratic Republic of the Congo

Dr. Salomon Salumu Zahera is a committed hydrologist and environmental researcher recognized for his contributions to advancing sustainable water science and climate-resilient resource management. His educational background reflects rigorous training in hydrological sciences and environmental systems, forming a strong foundation for an academic and research-oriented career without reference to specific qualifications or institutions.

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Nicholas Kounis | Cardiology | Research Excellence Award

Prof. Nicholas Kounis | Cardiology | Research Excellence Award

Professor | University of Patras | Greece

Prof. Nicholas Kounis is a globally respected clinician–scientist and thought leader whose work has profoundly influenced modern cardiovascular and immunological medicine. With a career spanning several decades, Prof. Nicholas Kounis has made pioneering contributions at the intersection of allergy, inflammation, and cardiovascular disorders, most notably through the identification and characterization of a unique clinical syndrome linking hypersensitivity reactions with acute coronary events.

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Kexue Han | Groundwater Hydrology | Editorial Board Member

Dr. Kexue Han | Groundwater Hydrology | Editorial Board Member

Research Assistant | Tsinghua University | China

Kexue Han’s research focuses on the migration, transformation, and retardation mechanisms of light non-aqueous phase liquid (LNAPL) pollutants within the vadose and capillary zones. His work investigates how soil moisture, permeability contrasts, and environmental factors influence pollutant seepage, adsorption, and kinetic behavior. By integrating experimental analysis, hydrological modeling, and machine-learning approaches such as random forest algorithms, he advances quantitative prediction of LNAPL concentrations and pollutant transport pathways. His studies contribute to improved understanding of groundwater contamination processes and support more effective management and remediation strategies for hazardous organic pollutants in complex hydrogeological environments.

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Eugenio Sanz Pérez | Groundwater | Excellence in Research Award

Prof. Dr. Eugenio Sanz Pérez | Groundwater | Excellence in Research Award

Full Professor | Universidad Politécnica de Madrid. España | Spain

Prof. Dr. Eugenio Sanz Pérez has built a distinguished research career marked by substantial contributions to applied geology, environmental analysis, and civil engineering systems. His work spans more than four decades of advancing scientific knowledge in areas such as arsenic speciation, environmental chemistry, geological characterization, and the application of geology to engineering challenges. He has participated in or directed more than twenty competitive research projects and nearly two hundred R&D contracts focused on transferring scientific knowledge to industry, government agencies, and public institutions, demonstrating a strong record of generating practical and societal impact. His publication output is extensive, comprising 367 scientific works, including high-impact journal articles, books, and conference proceedings, alongside 82 technical reports that further reflect his commitment to scientific dissemination and applied problem-solving. His research on arsenic behavior in environmental and biological samples has gained broad recognition, contributing foundational insights that support public health and environmental monitoring initiatives. As Director of the Applied Geology Research Group for Civil Engineering and Coordinator of the Doctoral Program in Civil Engineering Systems, he leads multidisciplinary teams and shapes advanced research within his field. He has supervised 13 doctoral theses and dozens of master’s and graduate projects, demonstrating strong leadership in mentoring emerging researchers and expanding scientific capacity. His medium- and long-term research interests focus on integrating geological sciences with engineering applications, enhancing environmental risk assessment, and improving methodological approaches for geochemical and geological investigations. His sustained productivity, extensive project leadership, and commitment to advancing civil and environmental geoscience position him as a highly influential figure whose work continues to shape research and professional practice.

Profile: Scopus | ORCID | Google Scholar | ResearchGate

Featured Publications 

Sanz, E., Munoz-Olivas, R., Camara, C., Sengupta, M. K., & Ahamed, S. (2007). Arsenic speciation in rice, straw, soil, hair and nails samples from the arsenic-affected areas of Middle and Lower Ganga plain. Journal of Environmental Science and Health, Part A, 42(12), 1695–1705.

Sanz, E., Muñoz-Olivas, R., & Cámara, C. (2005). A rapid and novel alternative to conventional sample treatment for arsenic speciation in rice using enzymatic ultrasonic probe. Analytica Chimica Acta, 535(1–2), 227–235.

Sanz, E., Munoz-Olivas, R., & Cámara, C. (2005). Evaluation of a focused sonication probe for arsenic speciation in environmental and biological samples. Journal of Chromatography A, 1097(1–2), 1–8.

Arribas, C. P., & Pérez, E. S. (2000). Huellas de Pterosaurios en el grupo Oncala (Soria, España). Pteraichnus palaciei-saenzi, nov. icnosp. Estudios Geológicos, 56(1–2), 73–100.

Villaseca, P., Llanos-Cuentas, A., Perez, E., & Davies, C. R. (1993). A comparative field study of the relative importance of Lutzomyia peruensis and Lutzomyia verrucarum as vectors of cutaneous leishmaniasis in the Peruvian Andes. The American Journal of Tropical Medicine and Hygiene, 49(2), 260–269.

Xiaofeng Ding | Water Quality | Best Researcher Award

Mr. Xiaofeng Ding | Water Quality | Best Researcher Award

Graduate Student at Guangdong University of Technology | China

Mr. Xiaofeng Ding is a passionate and emerging researcher in the field of environmental engineering with a specialization in advanced computational approaches to address water quality challenges. His research bridges artificial intelligence with environmental sustainability, demonstrating a clear vision for solving critical ecological issues through innovative and data-driven methodologies.

Professional Profile 

Education Details

He is pursuing his Master’s degree in Environmental Engineering at the School of Ecological Environment and Resources, Guangdong University of Technology. His academic foundation is complemented by strong technical expertise in computational modeling, programming, and data analytics, which he effectively applies to environmental problem-solving.

Professional Experience

Mr. Ding has gained valuable research experience by contributing to projects supported by regional and national science foundations, focusing on water quality modeling and prediction. His work includes the development of deep learning models with practical applications for river basin management and water quality monitoring. He has collaborated with senior researchers and contributed to publications in internationally recognized journals, highlighting his ability to integrate technical proficiency with real-world environmental applications.

Research Interests

His core research interests lie in water quality prediction, environmental engineering, hydrology, and the integration of machine learning and deep learning models into environmental studies. His recent work on hybrid deep learning models has demonstrated improved accuracy in forecasting water quality trends, providing a robust foundation for early-warning systems and sustainable water resource management.

Awards and Honors

Mr. Ding’s contributions to scientific research are reflected in his peer-reviewed publication in a leading international journal, where he presented a novel hybrid time-series prediction model. His involvement in research projects supported by major funding agencies further showcases the recognition of his potential as a promising young researcher in the field of environmental science and artificial intelligence applications.

Publications Top Noted

Time Series Prediction of Water Quality Based on NGO-CNN-GRU Model—A Case Study of Xijiang River, China.

Year: 2025

Conclusion

Mr. Xiaofeng Ding stands out as a highly motivated and innovative young researcher whose work at the intersection of environmental engineering and artificial intelligence contributes significantly to water quality management and sustainability. With his strong research foundation and demonstrated potential, he is a deserving candidate for consideration for the Best Researcher Award.

 

Sabab Ali Shah | Hdrology | Best Researcher Award

Dr. Sabab Ali Shah | Hdrology | Best Researcher Award

Assistant Professor at Aror University of Art, Architecture, Design and Heritage | Pakistan

Dr. Sabab Ali Shah is a Pakistani researcher and academic specializing in Environmental and Water Engineering, climate change adaptation, hydro-environmental modeling, and water quality management. He has held teaching, research, and leadership positions in Pakistan, South Korea, Malaysia, and China, authored widely cited publications, and serves on editorial boards of international journals. His work focuses on sustainable water resources, climate resilience, and environmental monitoring, and he is recognized for his contributions through research awards and global collaborations.

Professional Profile 

Education Details

Dr. Sabab Ali Shah holds an MS-PhD in Environmental Engineering with a specialization in Environmental and Water Engineering from Hanyang University, Seoul, South Korea, where he completed his doctoral research on developing a framework for evaluating and decomposing hydrological responses to climate change and anthropogenic activities in river basins, graduating with first division and an excellent CGPA. Prior to that, he earned a Bachelor of Engineering in Agricultural Engineering from Sindh Agriculture University, Tandojam, Pakistan, securing first division with a strong CGPA. His undergraduate thesis focused on the development of an empirical framework for estimating seepage losses in earthen watercourses, reflecting his early interest in water management and environmental sustainability.

Professional Experience

He is serving as a Post-Doctoral Fellow at the Chinese Academy of Sciences and as an Assistant Professor of Environmental Sciences, where he also held leadership positions including Director of ORIC and Chairman of the Department of Environmental Sciences. His professional journey includes teaching, research, academic supervision, and administrative roles across universities and international institutions, along with honorary and research fellowships.

Research Interests

His primary research areas include environmental engineering, water resources engineering, hydro-environmental modeling, climate change impacts, water quality management, environmental monitoring and control, system design, ESIA, and sustainable water resource management.

Awards and Honors

He has been recognized with research excellence awards, international fellowships, funded scholarships, and academic honors. He has also secured prestigious postdoctoral positions, editorial board memberships, and reviewer roles for international journals, reflecting his impactful contribution to science and academia.

Publications Top Noted

Hydroclimate Drivers and Spatiotemporal Dynamics of Reference Evapotranspiration in a Changing Climate
Year: 2025.

Geostatistical Analysis and Delineation of Groundwater Potential Zones for Their Implications in Irrigated Agriculture of Punjab Pakistan
Year: 2025

A Fascinating Exploration into Nitrite Accumulation into Low Concentration Reactors Using Cutting-edge Machine Learning Techniques
Year: 2024.

Lithological Exploration for Potable Water Lens in the Indus Delta and Their Connectivity with Freshwater Seepage and Environment
Year: 2024.

Exploring Spatio-temporal Variation of Drought Characteristics and Propagation under Climate Change Using Multi-model Ensemble Projections
Year: 2023.

Conclusion

Dr. Sabab Ali Shah is an accomplished researcher and academic with significant contributions in environmental and water sciences. His work integrates advanced modeling, climate adaptation, and sustainable management approaches, making him a valuable contributor to global water and environmental research.