Mr. Dawit Girma | Research Excellence | Research Excellence Award
Wolkite University | United Kingdom
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Mrs. JiHye Park is a researcher affiliated with Korea Ginseng Corporation in South Korea, contributing to scientific studies related to natural products and bioactive compounds. Her work is associated with research environments focused on functional foods, pharmacological properties of ginseng, and health-related applications. She is recognized within academic and industrial research networks. Her contributions support the advancement of nutraceutical science, emphasizing evidence-based approaches to traditional herbal resources and their potential benefits in modern healthcare and biotechnology fields.
Asst. Prof. Dr. Pawarin Tuntariyanond is a leading researcher in circular textiles and sustainable textile value chains at Kasetsart University. As Project Leader of the Hub of Knowledge for Low Carbon Materials (HK-LCM), she advances low-carbon material innovation, supply chain collaboration, and digital traceability systems. Her work integrates circular economy principles and ecosystem-based management, connecting academia, industry, government, and communities. Through research, consultancy, and multi-stakeholder engagement, she drives the practical implementation, upscaling, and innovation of sustainable, low-carbon textile systems that promote environmental and economic resilience.
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Zhifei Li is a distinguished researcher known for advancing aquaculture science, environmental engineering, and sustainable fisheries. His work spans freshwater pond healthy aquaculture, industrial recirculating aquaculture systems, ecological treatment of aquaculture tailwater, and large-water-area ecological fisheries. He has taken on significant scientific and advisory responsibilities within research institutions, engineering technology centers, and regional environmental governance bodies. His contributions are recognized through leadership roles in aquaculture pollution remediation, rural science and technology service, and expert consultation for large-scale aquaculture improvement initiatives. Zhifei Li has led numerous national and provincial research programs, including foundational research projects, key R&D initiatives, and regional technological innovation schemes. He has also collaborated on multiple multidisciplinary projects involving biofilm regulation, quorum sensing mechanisms, engineered bacteria, and low-temperature wastewater treatment systems for aquaculture. His research emphasizes practical and scalable solutions for improving water quality, enhancing aquaculture system efficiency, and promoting ecological fisheries development. Scientifically, his contributions are well-documented. He has authored 120 research documents, accumulating 1,756 citations from 1,362 citing documents, and holds an h-index of 23, reflecting strong academic influence. His publication record includes articles in recognized international journals, as well as contributions to several academic books. His innovation output features multiple authorized invention patents, software copyrights, and ongoing patented technologies with domestic and international relevance. Zhifei Li is also active in consultancy and industry-linked projects, providing technical solutions to aquaculture enterprises and environmental management programs. His collaborations extend to engineered microbial systems for wastewater treatment and biofilm regulation. Professionally, he serves in important roles within committees related to aquaculture environment and wastewater treatment and contributes to the development of future researchers as a supervisor in advanced academic programs.
Li, J., Ma, J., Li, Z., Xie, J., Zhang, Y., Yu, M., Xia, Y., Gong, W., Zhang, K., Wang, G., et al. (2025). C4-HSL drives rapid biofilm formation in low-temperature aquaculture effluent: Strengthening structural stability of biofilm and improving nitrogen removal efficiency. Environmental Research. https://doi.org/10.1016/j.envres.2025.122408
Li, J., Ma, J., Li, Z., Xie, J., Zhang, Y., Yu, M., Xia, Y., Gong, W., Zhang, K., Wang, G., et al. (2025). C4-HSL drives rapid biofilm formation in low-temperature aquaculture effluent: Strengthening structural stability of biofilm and improving nitrogen removal efficiency. SSRN. https://doi.org/10.2139/ssrn.5237275
Zhang, W., Ji, M., Wang, B., Xie, J., Wang, G., Gong, W., Li, H., Xia, Y., Zhang, K., Li, Z., et al. (2025). Comparative analysis of muscle metabolomics and gut microbiome provides new insights into the high fat intolerance mechanism of juvenile grass carp (Ctenopharyngodon idella). Aquaculture Reports. https://doi.org/10.1016/j.aqrep.2025.102864
Zhang, K., Luo, Y.-M., Xie, J., Gong, W.-B., Li, Z.-F., Xia, Y., Xie, W.-P., Tian, J.-J., Li, H.-Y., Wang, G.-J., et al. (2025). Effect of complex carbon sources on the vertical distribution and exchange flux of nitrogen nutrient at the sediment–water interface. SSRN. https://doi.org/10.2139/ssrn.5098069
Tian, J., Wang, B., Ji, M., Gong, W., Li, H., Xia, Y., Zhang, K., Li, Z., Xie, W., Wang, G., et al. (2025). Effects of berberine combined with Pennisetum sinese Roxb meal on growth, hepatic lipid metabolism, and intestinal health of grass carp (Ctenopharyngodon idella). Aquaculture Reports. https://doi.org/10.1016/j.aqrep.2025.102702
Wang, Z., Xie, J., Wang, G., Li, Z., Zhang, K., He, Z., Tian, J., Xie, W., Li, H., & Xia, Y., et al. (2025). Effects of Clostridium butyricum or Chinese herbal preparation on hepatic antioxidant capacity, immune function, and gut microbiota of bullfrog tadpoles and froglets (丁酸梭菌或中草药制剂对牛蛙蝌蚪和幼蛙肝脏抗氧化能力、免疫功能及肠道菌群的影响). Chinese Journal of Animal Nutrition. https://doi.org/10.12418/CJAN2025.438
A distinguished solar energy expert and research scientist, with over two decades of professional experience spanning solar resource assessment, satellite-based irradiance modeling, and renewable energy forecasting. His career bridges applied research, data analytics, and large-scale solar project development, contributing to the advancement of sustainable energy systems worldwide. Currently serving as a Principal Scientist and Program Director at the Dubai Electricity and Water Authority (DEWA) R&D Center, he leads initiatives in solar resource assessment, satellite image processing, and deep learning-based solar forecasting. His work includes developing data pipelines for solar forecasting using modern AI frameworks such as TensorFlow and Keras, and managing BSRN radiometric stations for high-precision solar measurements. Previously, he was a Scientist at Qatar Foundation’s QEERI, where he directed the development of the Solar Atlas of Qatar and applied remote sensing methods for regional solar mapping. Earlier, as President and Project Developer at Investigaciones y Recursos Solares Avanzados (IrSOLaV), he managed multi-megawatt PV and CSP projects across several continents and pioneered forecasting systems integrating Numerical Weather Prediction (NWP) and satellite-based nowcasting models. His expertise encompasses radiative transfer modeling, atmospheric physics, GIS-based solar mapping, and energy system simulation. He has contributed extensively to IEA Solar Heating and Cooling Tasks 36 and 46, COST Action 1002, and EU FP7 projects on solar nowcasting. He is also an active reviewer for leading journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. Academically, he holds a Ph.D. in Physical Sciences (Cum Laude) from the Complutense University of Madrid, with a dissertation on solar radiation prediction using statistical methods. His publication record includes numerous peer-reviewed papers and book chapters on solar resource modeling, machine learning applications in energy forecasting, and site adaptation of solar datasets.
Valappil, V. K., & Martin-Pomares, L. (2025). Characterizing solar attenuation for concentrated solar power plants in Dubai using AERONET data and libRadtran. Solar Energy, 302, 114082.
Sanfilippo, A., Martin-Pomares, L., & Polo, J. (2025). Solar resources mapping: Fundamentals and applications. Springer Nature.
Nie, Y., Paletta, Q., Scott, A., Martin-Pomares, L. M., Arbod, G., Sgouridis, S., Lasenby, J., et al. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy, 369, 123467.
Rezk, M., Tiwari, V. K., Manandhar, P., Krishnan, V., & Martin-Pomares, L. M. (2024). A CNN-based classifier for quality image selection from sky cameras. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).
Manandhar, P., Tiwari, V. K., Rezk, M., Krishnan, V., & Martin-Pomares, L. M. (2024). Convolutional deep learning hierarchical classifier to identify synoptic sky conditions based on sky images. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).
Martin-Pomares, L., Ghaoud, T., Al Khaja, T. T., Alemadi, A., Ahmed, M. S. M. M., et al. (2024). Sea water salinity estimation over Dubai using satellite imagery & WASI empirical model approach: Application to SpaceD DEWASAT-2 nanosatellite. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).