Uttam Singh| Water Resources Engineering| Best Researcher Award

Assist. Prof. Dr. Uttam Singh| Water Resources Engineering| Best Researcher Award

Assistant Professor at Malaviya National Institute of Technology Jaipur India

Dr. Uttam Singh is an Assistant Professor in the Department of Civil Engineering at Malaviya National Institute of Technology (MNIT), Jaipur, India. His research focuses on hydrogeology, environmental hydrology, and water resources engineering. He has worked as a post-doctoral fellow at Technische UniversitƤt Berlin and Wuhan University, specializing in groundwater recharge, aquifer characterization, and reservoir hydrology. His academic background includes a Ph.D. from IIT Roorkee, where he focused on aquifer characterization using advanced geophysical techniques. Dr. Singh has contributed extensively to research on hydrological models and groundwater monitoring, with publications in prominent journals.

Profile

Scholar

šŸŽ“ Education

Dr. Uttam Singh earned his Ph.D. from IIT Roorkee in 2022, specializing in hydraulic and water resources engineering. His dissertation focused on “Aquifer Characterization using Electrical Resistivity Tomography and Surface Nuclear Magnetic Resonance.” He holds a Master’s in Civil Engineering (Hydraulic and Water Resources) from IIT Kharagpur (2017) and a Bachelor’s in Civil Engineering from Rajkiya Engineering College, Bijnor (2014). His academic journey has been supported by MHRD fellowships during both his M.Tech and Ph.D. studies.

šŸ’¼ Experience

Dr. Singh currently serves as an Assistant Professor at MNIT Jaipur (since December 2023). Previously, he was a post-doctoral fellow at Technische UniversitƤt Berlin (2023) and Wuhan University (2022), where he worked on projects involving groundwater recharge and reservoir hydrology. He also held positions as Assistant Warden at IIT Roorkee (2018-2021) and as Project Associate at IIT Roorkeeā€™s Department of Hydrology (2022). Additionally, he worked as Assistant Professor (Contract) at Rajkiya Engineering College, Mainpuri in 2017.

šŸ… Awards and Honors

Dr. Singh has received multiple awards, including the “Research Excellence Award” in 2015 from Graphic Era University, Dehradun. He was honored with the “Early Career Research Award” from the Science and Engineering Research Board (SERB) in 2017. He also received a DST travel grant in 2012 to attend an international conference in Pittsburgh. Dr. Singh’s contributions to the field have been recognized by his membership in various hydrology associations, including the American Geophysical Union (AGU) and the International Water Resources Association (IWRA).

šŸ”¬ Research Focus

Dr. Singhā€™s research focuses on hydrogeology, groundwater recharge, and environmental hydrology. His work involves aquifer characterization using advanced geophysical techniques such as Electrical Resistivity Tomography (ERT) and Surface Nuclear Magnetic Resonance (NMR). His research aims to improve groundwater monitoring and enhance water resource management. He has a strong interest in reservoir hydrology and the application of statistical and modeling techniques in water resources engineering. Dr. Singh is also involved in studying subsurface hydraulic properties and developing more efficient methods for groundwater exploration.

Conclusion

Dr. Uttam Singh stands out as a dedicated researcher with a promising future in the fields of Hydrogeology and Water Resources Engineering. His high-quality publications and significant contributions to groundwater studies underscore his potential for receiving the Best Researcher Award. Expanding his collaborative efforts and engaging in more applied research could further elevate his stature in the academic and professional realms.

Publication

  • Meteorological Drought Analysis with Different Indices for the Betwa River Basin, India
    Year: 2022
    Authors: U Singh, P Agarwal, PK Sharma
    Journal: Theoretical and Applied Climatology, 148 (3), 1741-1754

 

  • Study on Geometric Factor and Sensitivity of Subsurface for Different Electrical Resistivity Tomography Arrays
    Year: 2022
    Authors: U Singh, PK Sharma
    Journal: Arabian Journal of Geosciences, 15 (7), 560

 

  • Seasonal Groundwater Monitoring Using Surface NMR and 2D/3D ERT
    Year: 2022
    Authors: U Singh, PK Sharma
    Journal: Environmental Earth Sciences, 81 (7), 198

 

  • Comparison of Saturated Hydraulic Conductivity Estimated by Surface NMR and Empirical Equations
    Year: 2023
    Authors: U Singh, PK Sharma
    Journal: Journal of Hydrology, 617, 128929

 

  • Groundwater Investigation Using Ground Magnetic Resonance and Resistivity Meter
    Year: 2021
    Authors: U Singh, PK Sharma, CSP Ojha
    Journal: ISH Journal of Hydraulic Engineering, 27 (sup1), 401-410

 

  • Drought Forecasting Using the Stochastic Model in the Betwa River Basin, India
    Year: 2022
    Authors: U Singh, PK Sharma
    Journal: Modeling Earth Systems and Environment, 8 (2), 1771-1786

 

  • Simulating Pre-Monsoon and Post-Monsoon Flows at Farakka Barrage, India
    Year: 2022
    Authors: U Singh, VR Desai, PK Sharma, CSP Ojha
    Journal: Sustainable Water Resources Management, 8, 1-14

 

  • Copula and ARMA Based Study of Controlled Outflow at Farakka Barrage
    Year: 2018
    Authors: U Singh, VR Desai, PK Sharma, CSP Ojha
    Journal: Hydrology and Earth System Sciences Discussions, 2018, 1-45

 

  • Non-Invasive Subsurface Groundwater Exploration Techniques
    Year: 2023
    Authors: U Singh, PK Sharma
    Journal: Environmental Processes and Management: Tools and Practices for Groundwater

 

  • Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content Using Bootstrap Statistics
    Year: 2022
    Authors: U Singh, PK Sharma
    Journal: Water Resources Management, 36 (7), 2493-2508

 

  • Spatial and Temporal Variability in Infiltration and Soil Characterization Using ERT
    Year: 2024
    Authors: U Singh, PK Sharma, K Gautam
    Journal: ISH Journal of Hydraulic Engineering, 1-13

 

  • Study on Aquifer Characterization Using Surface Nuclear Magnetic Resonance
    Year: 2024
    Authors: U Singh, PK Sharma
    Journal: Environmental Earth Sciences, 83 (1), 21

 

  • Sensitivity Analysis of Sum-of-Echoes Model Using Logging NMR Data in Fractured Granite
    Year: 2022
    Authors: U Singh, PK Sharma, BK Yadav
    Journal: AGU Fall Meeting Abstracts, H12M-0845

 

  • Subsurface Characterization Using Resistivity Meter and Ground Magnetic Resonance
    Year: 2019
    Authors: U Singh, PK Sharma
    Journal: AGU Fall Meeting Abstracts, NS43D-0853

 

 

Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr. Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr at Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. With expertise in remote sensing geology, mathematical geology, hyperspectral applications, and GIS technology, his work significantly impacts resource exploration and geological analysis. He has contributed extensively to understanding and mapping mineral resources and developing advanced geospatial technologies.

Profile

Scopus

šŸŽ“ Education

Ph.D. in Cartography and Geographic Information System from Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2004-2010, supervised by Chen Xi). Bachelor’s in Resource Exploration Engineering from China University of Geosciences, Wuhan (1998-2002, supervised by Zhou Zonggui).

šŸ’¼Ā Experience

Currently, Research Professor at the Institute of Space Applications Engineering and Technology, CAS (since 2023). Previously, Senior Engineer at Xinjiang Institute of Ecology and Geography, CAS (2020-2023), and Assistant Research Professor (2010-2015). Also served as a Visiting Scholar at Saint Louis University in 2011.

šŸ† Awards & Honors

Received Science and Technology Progress awards from Xinjiang Uygur Autonomous Region Peopleā€™s Government for projects on geological big data and tourism tech integration (2017). Holds patents in geological and spatial technology, including topological sorting of stratigraphic sequences (2021), and co-developed an award-winning dynamic platform for aero-magnetic surveys.

šŸ”¬ Research Focus

Specializes in remote sensing geology, hyperspectral imaging for mineral detection, and GIS for resource management. His research advances methods for metal estimation in rocks, hyperspectral data application, and innovative geological modeling and management systems.

Publications Top Notes

  • Pd(II)/Pd(IV) Redox Shuttle for Kesterite Solar Cells
    Authors: Wang, J., Shi, J., Yin, K., … Chen, S., Meng, Q.
    Journal: Nature Communications, 2024, 15(1), 4344
    This open-access article explores a Pd(II)/Pd(IV) redox shuttle method to reduce vacancy defects in kesterite solar cells, enhancing efficiency.

 

  • Multinary Alloying in Kesterite Solar Cells
    Authors: Shi, J., Wang, J., Meng, F., … Li, D., Meng, Q.
    Journal: Nature Energy, 2024, 9(9), 1095ā€“1104
    The study discusses alloying to aid cation exchange and minimize defects in kesterite solar cells, achieving above 14% certified efficiency.

 

  • Lithium Content Estimation in Rock Debris via Spectral Feature Coefficients
    Authors: Jiang, G., Chen, X., Zhou, K., … Zhou, S., Bai, Y.
    Journal: Ore Geology Reviews, 2024, 171, 106167
    This paper focuses on a spectral feature-based method to estimate lithium content in rock samples, relevant for geochemical studies.

 

  • Impact of Band Optimization on Hyperspectral Metal Element Inversion Models
    Authors: Ma, X., Wang, J., Zhou, K., … De Maeyer, P., Van de Voorde, T.
    Journal: International Journal of Applied Earth Observation and Geoinformation, 2024, 132, 104011
    A quantitative evaluation of band optimization techniques to improve accuracy in metal element inversion models using hyperspectral data.

 

  • Inversion of Feldspar Content in Granite Using Hyperspectral Indices
    Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
    Journal: Acta Geologica Sinica, 2024, 98(1), 314ā€“323
    This research employs multi-angular hyperspectral indices to analyze and quantify feldspar content in granite.

 

Imran Ahmad | Hydrology GIS | Best Researcher Award

Prof. Imran Ahmad | Hydrology GIS | Best Researcher Award

Ā ProfĀ  at Woldia University,Ā  Ethiopia

Dr. Imran Ahmad is an Associate Professor at the Department of Hydraulic and Water Resources Engineering, Debre Tabor University, Ethiopia. He holds a Ph.D. in Environmental Science (Hydrology) and has 9 years of teaching and research experience. His areas of expertise include remote sensing, GIS, water resources management, and environmental monitoring. Dr. Ahmad has published 49 SCI/Scopus-indexed journal articles, with over 850 citations and an h-index of 12. He is actively involved in international conferences, guest editing journals, and contributing to projects focused on hydrological and environmental challenges in Ethiopia.

Profile

Scopus

šŸŽ“ Education

PhD in Environmental Science (Hydrology): Tamil University, India (2009-2013). Masterā€™s in Environmental Science: Specialized in hydrology and water resource management. Bachelorā€™s Degree: In foundational Environmental Science and water resource studies.Training Certifications: Specialized training in GIS, Water CAD, Global Mapper, AutoCAD, and Civil 3D, enhancing his applied knowledge in environmental monitoring and resource management. Research Methods: Expertise in statistical analysis using SPSS and Idrisi Selva software.

šŸ’¼ Experience

Associate Professor: Debre Tabor University, Ethiopia, with 9 years of teaching experience in hydraulic and water resource engineering. Researcher: Published 49 articles in SCI/Scopus-indexed journals, with research focused on remote sensing, hydrology, and environmental management. Courses Taught: Water resources management, remote sensing & GIS, soil and water conservation, groundwater engineering, urban drainage, environmental impact assessment, and more. Consultant & Trainer: Conducted training on GIS applications, water management, manuscript writing, and Scopus journal identification.

šŸ† Awards & Honors

Invited Speaker: Delivered invited talks on remote sensing and GIS applications at prestigious workshops and conferences. Editorial Roles: Guest editor for special issues on Remote Sensing and Hydrological Studies. International Reviewer: Reviewed papers for high-impact journals such as Environmental Monitoring & Assessment and Journal of Hydrology. Conference Reviewer: Active reviewer for international conferences, including DICTAP11 in France. Committee Member: IAMSET (International Association of Management Science and Engineering Technology).

šŸ” Research Focus

Remote Sensing & GIS: Focused on applying these technologies to water resource management and environmental monitoring. Hydrology: Investigating hydrological droughts, groundwater chemistry, and sustainable water management solutions. Water Resource Management: Specializing in watershed management, urban drainage systems, and water conservation strategies. Environmental Monitoring: Assessing the environmental impact and sustainability of water supply systems in arid regions. Ā Climate Change: Research on hydrological droughts and climate change impact in Ethiopian river basins.

Conclusion

Dr. Imran Ahmad’s impressive academic and research profile, combined with his dedication to teaching and community engagement, makes him a strong candidate for the Best Researcher Award. His contributions to the fields of hydraulic and water resources engineering demonstrate a profound commitment to environmental sustainability and innovation. By addressing areas for improvement, such as funding acquisition and interdisciplinary collaboration, he can further amplify his impact and recognition within the research community.

Publications Top Notes

  1. Identification of hotspots and cold-spots of groundwater potential using spatial statistics
    Authors: Liu, T., Ahmad, I., Dar, M.A., Kifle, T., Angualie, G.S.
    Journal: Journal of Hydrology: Regional Studies
    Year: 2024

 

  1. Effect of watershed characteristics on river flow for the case of two watersheds, Megech and Gumaro, Upper Blue Nile Basin, Ethiopia
    Authors: Kassahun, F.A., Kifelew, M.S., Ahmad, I., Abate, F.S., Mesalie, R.A.
    Journal: Applied Water Science
    Year: 2024

 

  1. Exploratory regression modeling for flood susceptibility mapping in the GIS environment
    Authors: Fenglin, W., Ahmad, I., Zelenakova, M., Berhan, M., Shafi, S.N.
    Journal: Scientific Reports
    Year: 2023

 

  1. Configuring the groundwater potential zone spatially using optimized hotspot analysis
    Authors: Ahmad, I., Zelenakova, M., Fenta, A., Damtie, M., Nurye, M.
    Journal: Environmental Earth Sciences
    Year: 2023

 

  1. Identification of potential dam sites using OLS regression and fuzzy logic approach
    Authors: Fu, Z., Ahmad, I., Fenta, A., Tenagashaw, D.Y., Shumey, E.E.
    Journal: Environmental Sciences Europe
    Year: 2022

 

  1. Sources of aerosol optical depth and its distribution in Abbay basin, Ethiopia
    Authors: Ahmad, I., Fenta, A., Dar, M.A., Berhan, M., Mekuriaw, T.
    Journal: Applied Geomatics
    Year: 2022

 

  1. Influence of determinant factors towards soil erosion using ordinary least squared regression in GIS domain
    Authors: Ahmad, I., Shaaikh, J.A., Fenta, A., Andualem, T.G., Teshome, A.
    Journal: Applied Geomatics
    Year: 2022

 

Abul Abrar Masrur Ahmed | Water Engineering | Best Researcher Award

Dr. Abul Abrar Masrur Ahmed | Water Engineering | Best Researcher Award

A dedicated data scientist with expertise in applied AI (deep and machine learning) techniques for air quality, bias correction, hydrology, water resources, and climate extremes. I have a decade of experience in building robust Machine Learning solutions, combining professional and research experience to gain deep knowledge in hydrology and water resources. I am passionate about leveraging data science and AI to drive impactful data-driven decisions.

Publication profile

Scopus

Scholar

 

šŸ† Evaluation for Best Researcher Award

šŸ” Streng ths for the Award:

Extensive Research Experience: With over a decade of experience in applied AI and machine learning for hydrology, climate extremes, and air quality, Dr. Masrur Ahmed has developed a solid research foundation, making significant contributions to environmental and climate sciences. Prolific Publications: A commendable h-index of 16 and an i10-index of 25, along with a considerable number of publications in high-impact journals, reflects Dr. Ahmed’s active research engagement and scholarly impact. Innovative Application of AI: His work in developing hybrid deep learning models for hydrological prediction and air quality forecasting is cutting-edge, pushing the boundaries of traditional environmental science research. Recognized Expertise: His role as a reviewer and guest editor in respected journals, along with memberships in several professional organizations, underscores his standing in the scientific community. Global Collaboration: His involvement in international projects, such as those with the University of Melbourne, CSIRO, and BOM, indicates his ability to work effectively across disciplines and borders.

šŸ”„ Areas for Improvement:

Interdisciplinary Applications: While Dr. Ahmed excels in his niche, expanding his AI applications to other fields, such as agriculture or public health, could further enhance his research portfolio. Leadership Roles: Although he has served as Head of the Civil Engineering Department, more leadership roles in larger, interdisciplinary research projects could solidify his candidacy for top awards. Public Engagement: Increasing efforts to communicate his research to a broader audience through public talks, popular science articles, or media could enhance the societal impact of his work.

šŸŽ“ EDUCATION

2019 ā€“ 2022 PhD in Applied Artificial Intelligence University of Southern Queensland, Australia Thesis: Development of Deep Learning Hybrid Models for Hydrological Prediction. 2011 ā€“ 2017 MSc in Civil & Environmental Engineering Shahjalal University of Science & Technology
Thesis: Development of ANN Model to Predict the DO Concentration of the Surma River. 2005 ā€“ 2009 BSc in Civil & Environmental Engineering
Shahjalal University of Science & Technology

šŸ’¼ WORK EXPERIENCE

Scientist, Climate and Atmospheric Science Department of Climate Change, Energy, the Environment and Water JAN/2024 ā€“ Present Developing machine learning and deep learning models focused on emission modeling and air quality forecasting. Research Fellow in Water Resource Modelling The University of Melbourne, Australia FEB/2022 ā€“ JAN/2024 Conducted research in water demand forecasting under global warming scenarios, developed probabilistic deep learning models, and collaborated with leading institutions like CSIRO and BOM. Research Scholar
University of Southern Queensland (UniSQ), Australia FEB/2019 ā€“ FEB/2022 Developed hybrid deep learning algorithms for hydrological forecasting in the Australian Murray Darling Basin.

šŸ§Ŗ RESEARCH HIGHLIGHTS

  • ORCiD: 0000-0002-7941-3902
  • Google Scholar: Link
  • Citations: 1048
  • h-index: 16
  • i10-index: 25
  • Review/Guest Editor:
    • Frontiers in Artificial Intelligence
    • Journal of Land (Special Edition)

 

Publication top notes

  1. Title: Application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River
    Authors: AAM Ahmed, SMA Shah
    Year: 2017

 

  1. Title: Prediction of dissolved oxygen in Surma River by biochemical oxygen demand and chemical oxygen demand using the artificial neural networks (ANNs)
    Authors: AAM Ahmed
    Year: 2014

 

  1. Title: Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity
    Authors: AAM Ahmed, RC Deo, Q Feng, A Ghahramani, N Raj, Z Yin, L Yang
    Year: 2021

 

  1. Title: LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios
    Authors: AAM Ahmed, RC Deo, A Ghahramani, N Raj, Q Feng, Z Yin, L Yang
    Year: 2021

 

  1. Title: Deep learning forecasts of soil moisture: convolutional neural network and gated recurrent unit models coupled with satellite-derived MODIS, observations and synoptic-scale variables
    Authors: AAM Ahmed, RC Deo, N Raj, A Ghahramani, Q Feng, Z Yin, L Yang
    Year: 2021

 

  1. Title: A Canadian water quality guideline-water quality index (CCME-WQI) based assessment study of water quality in Surma River
    Authors: GM Munna, MMI Chowdhury, AAM Ahmed, S Chowdhury, MM Alom
    Year: 2013

 

  1. Title: Hybrid deep learning method for a week-ahead evapotranspiration forecasting
    Authors: AAM Ahmed, RC Deo, Q Feng, A Ghahramani, N Raj, Z Yin, L Yang
    Year: 2022

 

  1. Title: New double decomposition deep learning methods for river water level forecasting
    Authors: AAM Ahmed, RC Deo, A Ghahramani, Q Feng, N Raj, Z Yin, L Yang
    Year: 2022

 

  1. Title: Hybrid intelligence models for compressive strength prediction of MPC composites and parametric analysis with SHAP algorithm
    Authors: MA Haque, B Chen, A Kashem, T Qureshi, AAM Ahmed
    Year: 2023

šŸ… Conclusion:

Dr. Masrur Ahmed is a strong contender for the Best Researcher Award, given his significant contributions to applied AI in environmental sciences, extensive publication record, and active role in the research community. To further strengthen his candidacy, broadening the interdisciplinary application of his work and increasing his public engagement could be beneficial.

Alemeshet Kebede Yimer | Remot sensing and hydrology | Best Researcher Award

Mrs. Alemeshet Kebede Yimer | Virtual Reality | Young Scientist Award

Mrs at Arba Minch University, Ethiopia Ethiopia

Dr. Alemkebede Yimer is a researcher and educator specializing in Irrigation and Drainage Engineering, GIS, and Remote Sensing. Since 2003, he has taught and conducted research at Arba Minch University, Ethiopia, focusing on water resource management and irrigation. His expertise includes remote sensing for irrigated area mapping and model-based water abstraction evaluation. He holds a Ph.D. in Irrigation and Drainage Engineering, an MSc in Climate Change & Development, and a BSc in Civil Engineering, all from Arba Minch University. He also has a BED in Physics from Dilla University and various certifications in climate modeling and teaching methodology.

Publication Profile

Scholar

šŸ¢ Work Experience

Researcher and Lecturer, Arba Minch University, Ethiopia 07/08/2003 ā€“ Present Specializing in Irrigation and Drainage Engineering, GIS and Remote Sensing, Environmental Science, and Physics. Focused on Remote Sensing-based irrigated area mapping and water resource consultancy. Expertise in evaluating water abstraction in basins and implementing model-based approaches in irrigation.

šŸŽ“ Education and Training

Ph.D. in Irrigation and Drainage Engineering, Arba Minch University, Ethiopia 2019 ā€“ Present. MSc in Climate Change & Development, Arba Minch University, Ethiopia 2013 ā€“ 2015. BSc in Civil Engineering, Arba Minch University, Ethiopia 2011 ā€“ 2015 Bed in Physics, Dilla University, Ethiopia 2003 – 2007 Certificate on 3rd Regional Climate Impact Modelling Workshop for Eastern Africa, Addis Ababa University, Ethiopia 2013 Higher Educational Institute Teaching Methodology Certificate, Arba Minch University 2012 Computer Diploma, Durame Isaac Computer and Language Training Center, Ethiopia 2002. High School Level, Arba Minch Comprehensive High School 1998 ā€“ 2000 Junior Level, Arba Minch Junior School 1996 ā€“ 1997 Elementary Level, Arba Minch Elementary School 1994 ā€“ 1995

šŸŒŸ Personal Skills

Communication Skills: Strong communication abilities developed through extensive teaching and research. Job-Related Skills: Proficient in quality control processes and faculty teaching.. Computer Skills: Expertise in SNAP tool, ArcGIS, ENVI, MATLAB, SMARG, all MS applications, ORANGE 8, GrADS, and Fortran. Other Skills: Drawing.

 

šŸ† Assessment for the Research for Best Researcher Award šŸ†

Strengths for the Award:

  1. Extensive Research Experience: Alemachew Kebede Yimer’s role as a researcher and lecturer in irrigation and drainage engineering, GIS, and remote sensing demonstrates a strong background in critical areas related to water management and environmental science. His work with the International Water Management Institute (IWMI) on remote sensing-based irrigation mapping and water abstraction evaluation highlights his expertise and contributions to the field.
  2. Specialized Knowledge: His specialization in remote sensing and model-based approaches for evaluating water resources is highly relevant to current global challenges in water management and climate change. This niche expertise aligns well with the criteria for the Research for Best Researcher Award.
  3. Academic and Professional Qualifications: Alemachew holds a Ph.D. in Irrigation and Drainage Engineering and has additional qualifications in climate change and development, civil engineering, and teaching methodology. This diverse educational background supports his in-depth understanding and capability in his research domain.
  4. Proven Impact and Contributions: His consultancy work with IWMI and his involvement in high-impact research projects reflect his ability to influence and advance the field. His contributions to model-based evaluations and remote sensing applications are notable achievements.
  5. Strong Language and Communication Skills: Alemachewā€™s excellent proficiency in English and Amharic, along with his good communication skills, enhance his ability to collaborate, present, and disseminate research findings effectively.

Areas for Improvement:

Expand Research Scope: While Alemachewā€™s specialization is impressive, expanding his research to include more interdisciplinary approaches or emerging technologies could further enhance his impact. Engaging with new methodologies or broader topics in environmental science and engineering might provide additional opportunities for groundbreaking work.. Increase International Collaboration: Strengthening international collaborations could provide new perspectives and opportunities for joint research initiatives. Participating in more global conferences and projects could enhance his visibility and influence within the global research community.. Enhance Publication Record: Increasing the number of publications in high-impact journals and presenting at international conferences could further solidify his reputation as a leading researcher. Focus on publishing innovative findings and high-quality research outputs.

Publications:

  1. Title: Seasonal effect on the accuracy of Land use/Land cover classification in the Bilate Sub-basin, Abaya-Chamo Basin, Rift valley Lakes Basin of Ethiopia
    Authors: A.K. Yimer, A.T. Haile, S.D. Hatiye, A.G. Azeref
    Journal: Ethiopian Journal of Water Science and Technology
    Year: 2020
    Volume: 3
    Pages: 23-50
    Citations: 6

 

  1. Title: Implications of uncontrolled water withdrawal and climate change on the water supply and demand gap in the Lake Tana sub-basin
    Authors: M. Ferede, A. Haile, A. Gedle, A. Kebede, S.D. Amare, M. Taye
    Journal: Ethiopian Journal of Water Science and Technology
    Year: 2022
    Volume: 5
    Pages: 74-101
    Citations: 2

 

  1. Title: Comparative Evaluation of the Accuracy of Mapping Irrigated Areas using Sentinel 1 Images in the Bilate and Gumara Watersheds, Ethiopia
    Authors: A.K. Yimer, A.T. Haile, S.D. Hatiye, S. Ragettli, M.T. Taye
    Journal: Cogent Engineering
    Year: 2024
    Volume: 11
    Pages: 1-19
    ISSN: 2331-1983

Conclusion:

Muhammad Javed Ramzan is a strong candidate for the Research for Young Scientist Award. His expertise in XR and AI, combined with a solid academic background, innovative research contributions, and notable achievements, position him well for this recognition. By broadening his research focus, increasing international exposure, and enhancing industry collaborations, Muhammad could further elevate his standing as a leading young scientist. His innovative approach and commitment to advancing technology make him a deserving candidate for this award.

Hossein Mousavi | Hydrology | Best Researcher Award

Mr. Hossein Mousavi | Hydrology | Best Researcher Award

I hold a Master’s degree in Civil Engineering (Geotechnical) from Amirkabir University of Technology, where I researched Lake Urmia’s climate impact and Middle Eastern dust-climate interactions, resulting in publications in ISI journals and Science of the Total Environment. My expertise includes hydrology, water resources management, data science, Python programming, and remote sensing. A member of the European Geosciences Union and the Sustainable Development Office at my university, I am dedicated to advancing water resources management and sustainability, leveraging my diverse skills and strong academic background to address critical water-related challenges.

Profile

Orcid

šŸ”¬ Research and Innovations:

Completed/Ongoing Research Projects: 6 completed & 2 ongoing research projectsCitation Index: 41 citations / Google ScholarConsultancy/Industry Projects: 0 ProjectsBooks Published (ISBN): 0 BookPatents Published/Under Process: 0 PatentJournals Published (SCI, Scopus, etc.): 4 Journals PublishedEditorial Appointments: 1 Peer Review activity for Water Resources ResearchCollaborations: Professional Memberships: Member of European Geosciences Union (EGU), Iran’s National Elites Foundation & Amirkabir University of Technology Office of SustainabilityAreas of Research: Climate change, Hydrology, Dust, Large Lakes, Geotechnics, Water Resources ManagementAward Category Preference: Best Researcher Award, Young Scientist Award

Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

šŸ“š Academic and Professional BackgroundĀ 

Briefly describe your educational qualifications, professional experience, and any significant achievements related to your academic or professional career within the given word limit.

šŸ¤ Collaborations: Describe any significant collaborations you have been part of in your research career.

šŸ’” ContributionsĀ 

Describe your contributions to research and innovation, including any notable achievements, impacts, or advancements resulting from your work within the given word limit.

šŸ“„ Self-Declaration:

I confirm that all information provided in this form is accurate and complete to the best of my knowledge. I understand that any misrepresentation or omission of material facts may result in disqualification or revocation of the award. I agree to abide by the terms and conditions of the award and understand that non-compliance may lead to disqualification. I acknowledge the importance of filling out all sections of the form accurately and completely as per the provided guidelines. I will provide relevant proofs and documents as required to support my nominations.

Publications Top Notes šŸ“

  • Dust and climate interactions in the Middle East: Spatio-temporal analysis of aerosol optical depth and climatic variables
    • Journal: Science of The Total Environment
    • Publication Date: 2024-06
    • DOI: 10.1016/j.scitotenv.2024.172176
    • Contributors: Hossein Mousavi, Davood Moshir Panahi, Zahra Kalantari

 

  • Investigating the Impact of Large Lakes on Local Precipitation: Case Study of Lake Urmia, Iran
    • Journal: Water
    • Publication Date: 2024-04-27
    • DOI: 10.3390/w16091250
    • Contributors: Hossein Mousavi, Amirhossein Dehghanipour, Carla Ferreira, Zahra Kalantari

 

  • How Does Climate Variability Affect Dust Trend in the Middle East?
    • Conference: EGU General Assembly 2024
    • Publication Date: 2024-03-08
    • DOI: 10.5194/egusphere-egu24-7356
    • Contributors: Hossein Mousavi, Davood Moshir Panahi, Zahra Kalantari

 

  • Effect of embedment depth on the rocking isolation behavior of foundations: an experimental and numerical study
    • Journal: Arabian Journal of Geosciences
    • Publication Date: 2022-02
    • DOI: 10.1007/s12517-022-09570-w
    • Contributors: Hossein Mousavi

 

  • Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions
    • Journal: Water
    • Publication Date: 2020-07
    • DOI: 10.3390/w12082153
    • Contributors: Amirhossein Dehghanipour, Davood Moshir Panahi, Hossein Mousavi, Zahra Kalantari, Massoud Tajrishy