Ali Haji Elyasi | Earth Sciences | Best Researcher Award

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Mr. Ali Haji Elyasi | Earth Sciences | Best Researcher Award

Mr. Ali Haji Elyasi | Earth Sciences | PhD at University of Tehran | Iran

Mr. Ali Haji Elyasi is a researcher in Civil and Water Resources Engineering with a strong academic foundation and applied research orientation in hydrological systems, groundwater sustainability, and hydraulics. He is pursuing his Ph.D. in Civil Engineering (Water and Hydraulic Structures) at the University of Tehran, where he has developed expertise in advanced hydro-environmental modeling, geospatial intelligence, machine learning applications, and remote sensing-driven environmental monitoring. His education combines rigorous theoretical training with hands-on field research, enabling him to address complex challenges related to groundwater quality, flood risk assessment, watershed hydrology, and wetland ecosystem dynamics. Professionally, Mr. Ali Haji Elyasi has contributed to several interdisciplinary research projects in collaboration with leading institutions and research groups, focusing on groundwater potential analysis, land-use change detection, aquifer vulnerability assessment, and integrated water resource management strategies. His research interests include sustainable hydrology, resilience-based water infrastructure planning, satellite-based environmental observation, climate impact assessments, and data-driven decision support systems in semi-arid and ecologically sensitive regions. He is skilled in GIS, Remote Sensing, machine learning modeling, hydrological simulation, spatial data analysis, and environmental data interpretation, and he consistently integrates computational methods to enhance predictive accuracy and resource planning outcomes. Mr. Ali Haji Elyasi has published multiple peer-reviewed articles indexed in Scopus and reputable engineering journals, and his scientific contributions have been recognized through increasing citations and scholarly collaborations across universities and research institutions. He has also engaged in academic community development through teamwork, joint authorships, mentoring, and research dissemination activities. Awards and recognitions relate to his contributions in water resource research, collaborative scientific output, and commitment to advancing environmental sustainability. Overall, Mr. Ali Haji Elyasi demonstrates a strong commitment to scientific integrity, research innovation, and practical solutions for sustainable water system management, positioning him as a promising researcher capable of contributing meaningfully to academic scholarship, environmental policy, infrastructure planning, and future scientific leadership.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Eftekhari, M., Mobin, E., Akbari, M., & Elyasi, A. H. (2021). Application assessment of GRACE and CHIRPS data in the Google Earth Engine to investigate their relation with groundwater resource changes (Northwestern region of Iran). Journal of Groundwater Science and Engineering, 9(2), 102–113. Cited 18 times

Eftekhari, M., Eslaminezhad, S. A., Akbari, M., DadrasAjirlou, Y., & Elyasi, A. H. (2021). Assessment of the potential of groundwater quality indicators by geostatistical methods in semi-arid regions. Journal of Chinese Soil and Water Conservation, 52(3), 158–167. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Mahmoodizadeh, S., Akbari, M., & Elyasi, A. H. (2021). Evaluation of tree-based artificial intelligence models to predict flood risk using GIS. Iran-Water Resources Research, 17(2), 174–189. Cited 7 times

Eftekhari, M., Eslaminezhad, S. A., Elyasi, A. H., & Akbari, M. (2021). Geostatistical evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain aquifer. Environment and Water Engineering, 7(2), 267–278. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Akbari, M., Elyasi, A. H., & Farhadian, H. (2022). Predicting flood-prone areas using advanced machine learning models (Birjand Plain). Water and Irrigation Management, 11(4), 885–904. Cited 3 times

 

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)