Amin Arzhangi | Environmental Science | Research Excellence Award

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Mr. Amin Arzhangi | Environmental Science | Research Excellence Award

Mr. Amin Arzhangi | University of Bojnord | Iran

Amin Arzhangi is a dedicated Master’s student in Water Engineering and Hydraulic Structures at the University of Bojnord, recognized for academic excellence with a top-class ranking and strong research productivity. His work spans interdisciplinary domains of hydrology, ecohydrology, environmental hydraulics, sedimentology, river engineering, and water quality assessment. He has developed a robust research profile through active involvement in advanced modeling, machine learning applications in environmental systems, and hydro-geomorphic analyses. His research contributions focus on critical issues such as hypoxia prediction in rivers and reservoirs, water quality index modeling, biodegradability assessment, sediment pollution, and river system hydraulics. He has authored numerous peer-reviewed papers in reputable international journals—including Nature Communications Sustainability, Science, and Ecosystem Health and Sustainability—with several manuscripts under review. His publications reflect methodological depth, spanning machine learning models, hydrological process modeling, reaeration estimation, and spatial analysis of riverine and coastal systems. His work has accumulated meaningful citations, demonstrating its contribution to the scientific community. In parallel to his academic research, he has presented at well-regarded international conferences in Turkey, Portugal, and Iran, addressing river morphology, organic carbon dynamics, and land-use impacts on water quality. He also contributes professionally as a reviewer for established journals such as Science of the Total Environment, Journal of Hydrology, Results in Engineering, and others, and serves on an editorial board. His applied skills include machine learning for environmental prediction, hydrodynamic and hydraulic modeling (HEC-RAS, QUAL2K, Hydrus), GIS and remote sensing, and programming in Python and R. He is actively engaged in multiple ongoing projects involving sediment source tracing, coastal ecosystem analysis, turbulence modeling, water quality forecasting, and remote sensing-based hydrological assessments. Through strong academic rigor, interdisciplinary collaborations, and impactful research output, he demonstrates a clear trajectory toward becoming an emerging researcher in water resources engineering and environmental hydro systems.

Profile: Orcid | Google Scholar | LinkedIn | Research Gate

Featured Publications

Partani, S., Arzhangi, A., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025). Integrated hydraulic and reaeration analysis for sustainable water quality management in river systems. SSRN. https://doi.org/10.2139/ssrn.5365496

Arzhangi, A., & Partani, S. (2025, November). A multi-scale framework for BOD5 prediction from water quality to hydro-geomorphic interpolation. iScience. https://doi.org/10.1016/j.isci.2025.114177

Arzhangi, A., Partani, S., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025, September 12). Instant water quality index (WQI) prediction via reaeration process and hydraulic parameters in the river system (Version 1) [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-7481412/v1

Partani, S., & Arzhangi, A. (2025, August 17). Developing a reliable predictive model for the biodegradability index in industrial complex effluent. Scientific Reports, 15(1), 30108. https://doi.org/10.1038/s41598-025-15866-0

Arzhangi, A., & Partani, S. (2025, August 12). Development of a biodegradability index for urban rivers using detergent concentration: A case study from Tehran, Iran. American Journal of Environmental Science and Engineering, 458, Article 142521. https://doi.org/10.11648/j.ajese.20250903.17

Prof. Dr. Zhifei Li | Environmental Science | Best Researcher Award | 2605

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Prof. Dr. Zhifei Li | Environmental Science | Best Researcher Award

Prof. Dr. Zhifei Li | Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou | China

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.

Profile: Scopus | Orcid

Featured Publications

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

Hanin Othman | Environmental Science | Best Researcher Award

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Ms. Hanin Othman | Environmental Science | Best Researcher Award

Ms. Hanin Othman | The Pennsylvania State University | United States

Dr. Hanin Othman is an accomplished Architect, Researcher, and Designer whose work bridges sustainable architecture, environmental sensing, and computational design. Currently a Ph.D. Candidate in Architecture (Sustainability) at The Pennsylvania State University (USA), she explores innovative intersections between indoor environmental quality monitoring, IoT-based sensor technologies, robotics, and climate-responsive design. Her research advances the integration of low-cost, data-driven sensing systems for health-equitable and energy-efficient built environments, while also engaging in digital fabrication and robotic material processes that merge craft with computational design. She serves as a Graduate Teaching Assistant and Artist & Maker in Residence at Penn State’s College of Engineering, where she leads interdisciplinary workshops on Arduino-based environmental monitoring and IoT applications in architecture. Dr. Othman’s academic career spans over a decade, including extensive teaching and studio leadership at The Hashemite University (Jordan), where she taught across design studios, architectural theory, heritage conservation, and environmental systems. Her research contributions have earned her numerous accolades, including the ICDS Rising Researcher Award, Fox Scholar Award, Artists and Makers in Residence Fellowship, and Sustainability Graduate Student Award Nomination at Penn State. She also received the Best Master Thesis Published Paper Award from the University of Jordan  and the Best Graduation Project Award from The Hashemite University . Her scholarly output demonstrates her growing global recognition, with 45 citations across 45 documents and an h-index of 1, reflecting emerging influence in the fields of smart building systems, urban thermal comfort modeling, and IoT-driven architectural innovation. Through her interdisciplinary and human-centered approach, Dr. Othman continues to contribute to shaping a more sustainable, resilient, and health-conscious built environment aligned with the UN Sustainable Development Goals (SDGs).

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Othman, H., Sieves, G., Guimarães, T., & Azari, R. (2025). A calibration chamber framework for low-cost indoor air quality sensor validation. Building and Environment, 283, 113856. https://doi.org/10.1016/j.buildenv.2025.113856

Othman, H., Azari, R., & Guimarães, T. (2024). Low-cost IoT-based indoor air quality monitoring. Technology | Architecture + Design, 8(2), 2405403. https://doi.org/10.1080/24751448.2024.2405403

Othman, H., Sieves, G., Guimarães, T., & Azari, R. (2024, November 13). Development of a calibration chamber to evaluate the performance of a low-cost IAQ sensing device. In SIGraDi 2024 – Biodigital Intelligent Systems Conference.

Othman, H. (2023). Exploring low-cost sensors for indoor air quality (IAQ) monitoring. In C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD).

Imam, C. A., Othman, H. A. S., & Çapunaman, Ö. B. (2023). Robotic plaster carving: Formalizing subtractive detailing of plaster surfaces for construction and crafts. In Proceedings of the 41st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) (Vol. 1, pp. 397–406). https://doi.org/10.52842/conf.ecaade.2023.1.397