Majid Baghdadi | Water | Best Researcher Award

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Assoc. Prof. Dr. Majid Baghdadi | Water | Best Researcher Award

Assoc. Prof. Dr. Majid Baghdadi | Water | Associate Professor at University of Tehran | Iran

Assoc. Prof. Dr. Majid Baghdadi is a distinguished researcher in environmental engineering with a specialized focus on water and wastewater treatment, nanotechnology applications, environmental chemistry, and analytical environmental analysis. He earned his Ph.D. in Environmental Engineering from the University of Tehran and has developed a strong professional record encompassing both academic research and international collaborative projects. Throughout his career, Assoc. Prof. Dr. Majid Baghdadi has contributed to pioneering methodologies for pollutant removal using innovative nanomaterials, ionic liquid-based microextraction techniques, and sustainable water treatment solutions. He has held key academic and research positions, mentoring graduate students, leading research teams, and collaborating with global institutions including the University of Manitoba and Michigan Technological University. His research interests include trace element analysis, magnetic nanocomposites for wastewater treatment, and the development of advanced analytical methodologies for environmental monitoring. He is highly skilled in laboratory-based chemical analysis, nanomaterial synthesis, adsorption and sedimentation kinetic studies, and the application of response surface methodology for optimization of environmental processes. Assoc. Prof. Dr. Majid Baghdadi has been recognized with multiple national and international awards for his contributions to environmental science and engineering, reflecting his leadership in research innovation, scholarly excellence, and community engagement. He is an active member of professional societies including IEEE and ACM, and has participated in conferences, workshops, and peer review panels worldwide. His extensive publication record demonstrates high impact, with over 4,475 citations, an h-index of 36, and an i10-index of 91, highlighting his influence on the scientific community. Assoc. Prof. Dr. Majid Baghdadi continues to show strong potential for future research, focusing on integrating advanced nanotechnology with environmental engineering solutions and expanding international collaborations to address global water challenges. His dedication to mentoring, innovation, and advancing sustainable environmental practices positions him as an eminent scholar in his field, making him a deserving recipient of prestigious awards and recognition in environmental science.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Baghdadi, M., & Shemirani, F. (2008). Cold-induced aggregation microextraction: A novel sample preparation technique based on ionic liquids. Analytica Chimica Acta, 613(1), 56-63. (Cited 288)

  2. Baghdadi, M., & Shemirani, F. (2009). In situ solvent formation microextraction based on ionic liquids: A novel sample preparation technique for determination of inorganic species in saline solutions. Analytica Chimica Acta, 634(2), 186-191. (Cited 273)

  3. Shemirani, F., Baghdadi, M., & Ramezani, M. (2005). Preconcentration and determination of ultra trace amounts of arsenic (III) and arsenic (V) in tap water and total arsenic in biological samples by cloud point extraction. Talanta, 65(4), 882-887. (Cited 186)

  4. Baghdadi, M., Ghaffari, E., & Aminzadeh, B. (2016). Removal of carbamazepine from municipal wastewater effluent using optimally synthesized magnetic activated carbon: Adsorption and sedimentation kinetic studies. Journal of Environmental Chemical Engineering, 4(3), 3309-3321. (Cited 173)

  5. Shemirani, F., Baghdadi, M., Ramezani, M., & Jamali, M. R. (2005). Determination of ultra trace amounts of bismuth in biological and water samples by electrothermal atomic absorption spectrometry (ET-AAS) after cloud point extraction. Analytica Chimica Acta, 534(1), 163-169. (Cited 158)

 

Xichao Gao | Hydrology | Best Researcher Award

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Dr. Xichao Gao | Hydrology | Best Researcher Award

Dr. Xichao Gao | Hydrology | Senior Engineer at China Institute of Water Resources and Hydropower Research | China

Gr. Xichao Gao is an eminent researcher specializing in hydrology, water resources, and climate-driven environmental modeling, with a strong focus on urban waterlogging, drought recovery, and real-time rainfall estimation using advanced computational and deep learning methods. He obtained his Ph.D. in Hydrology and Water Resources from a leading Chinese research university, which provided a solid foundation for his extensive contributions to the China Institute of Water Resources and Hydropower Research in Beijing, China, where he currently serves as a leading researcher. Over his career, Gr. Gao has published 30 high-impact documents, which have collectively received 403 citations from 356 documents, reflecting his scholarly influence and an h-index of 12. His professional experience encompasses leading and participating in multinational research projects addressing climate resilience, hydrological risk management, and sustainable urban water systems. Gr. Gao’s research interests include hydrological process modeling, environmental monitoring using video-based and remote-sensing techniques, AI-driven water resource management, and climate adaptation strategies. He possesses advanced research skills in machine learning applications in hydrology, statistical modeling, image-based waterlogging analysis, and integrated assessment of drought recovery processes, which have enabled him to produce innovative methodologies recognized internationally. His work has appeared in reputed journals such as Hydrological Processes, Environmental Modelling and Software, and Measurement: Journal of the International Measurement Confederation, highlighting his commitment to advancing high-quality scientific knowledge. In addition to his research output, Gr. Gao has demonstrated leadership through mentoring early-career researchers, contributing to community-based water resilience initiatives, and serving on professional committees within hydrology and environmental engineering societies. He has received multiple research honors and recognitions for his contributions to climate-adaptive hydrology and computational water modeling, reflecting his growing reputation as a leading scholar in his field.

Academic Profile: Scopus

Featured Publications:

  1. Gao, X. (2026). Measuring urban waterlogging depth from video images using human body models. Measurement: Journal of the International Measurement Confederation. 0 citations.

  2. Gao, X., et al. (2025). A framework to quantify drought recovery time accounting for the lagged effect. Hydrological Processes. 1 citation.

  3. Gao, X., et al. (2025). Real-time rainfall estimation using deep learning: Influence of background and rainfall intensity. Environmental Modelling and Software. 1 citation.