Md Tauhidul Alam | Agriculture

Posted on by ScienceFather

Mr. Md Tauhidul Alam, Heartfelt Congratulations on Achieving the Young Scientist Award! 🎓🌟

  • Mr. Md Tauhidul Alam, Noakhali Science and Technology University, Bangladesh: Leading Researcher in Agriculture

Md Tauhidul Alam 🌟, Congratulations on being honored with the Young Scientist Award! 🎉by ScienceFather Your dedication to agricultural research and GIS applications is truly commendable. 🌱 Your innovative work in creating a GIS-based multi-criteria model for sunflower land suitability showcases your commitment to advancing scientific knowledge. 🌍

Your achievements, including published papers and active involvement in freelance GIS projects, highlight your exceptional contributions to the field. 📚 We are confident that your passion and talent will continue to make a positive impact on scientific endeavors.

Wishing you continued success in your future endeavors and looking forward to witnessing more milestones in your promising career! 🚀

Professional Profiles:

Bio Summary:

Md Tauhidul Alam is a dynamic researcher with a Bachelor’s degree in Agriculture from Noakhali Science and Technology University. His research journey, particularly during his undergraduate studies, has been characterized by a deep commitment to utilizing geospatial information for agricultural advancements.

Tauhidul’s notable contribution includes the development of an innovative GIS-based multi-criteria model aimed at assessing sunflower land suitability in the Central Coastal Zone of Bangladesh. Throughout this research, he skillfully integrated various data sets, including geospatial, topographic, climate, and soil characteristics, to create a comprehensive assessment tool.

Under the guidance of his research supervisor, Kazi Ishrat Anjum, Tauhidul demonstrated a keen interest in leveraging technology for sustainable agricultural practices. His research not only adds valuable insights to the scientific community but also reflects his dedication to addressing real-world challenges in agriculture.

As Tauhidul continues his academic and professional journey, his passion for geospatial applications and commitment to advancing agricultural practices position him as a promising researcher in the field.

Education:
  • Bachelor of Science in Agriculture
    • Noakhali Science and Technology University
    • CGPA: 3.29/4.00
    • January 2018 – May 2023
Research Focus:
  • Undergraduate Research Work (January 2022 – March 2023):
    • Integrated geospatial data, topographic information, climate data, and soil characteristics for a comprehensive suitability assessment model.
    • Thesis Title: “GIS-Based Multi-Criteria Approach for Modeling Sunflower Land Suitability: A Case Study in the Central Coastal Zone of Bangladesh”
    • Research Supervisor: Kazi Ishrat Anjum
Professional Journey:
  • Freelance GIS and Remote Sensing (January 2021 – Present):
    • Fiverr platform

Honors & Awards:

  • Silver Award in Poster Presentation on “Precision Agriculture – The Future of Farming Technology” at the Bangladesh Research & Innovation Society event (2020)
Publications & Contributions:
  • Published Papers:
    • “Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022).” – Ecological Informatics 75 (2023): 102075.
    • “Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth.” – Sustainability 15, no. 2 (2023): 1416.
Citation:
  • Waleed, Mirza; Sajjad, Muhammad; Shazil, Muhammad Shareef; Tariq, Maham; and Alam, Md Tauhidul. (2023). “Machine learning-based spatial-temporal assessment and change transition analysis of wetlands: An application of Google Earth Engine in Sylhet, Bangladesh (1985–2022).” Ecological Informatics, 75, 102075.
  • Waleed, Mirza; Sajjad, Muhammad; Acheampong, Anthony Owusu; and Alam, Md Tauhidul. (2023). “Towards Sustainable and Livable Cities: Leveraging Remote Sensing, Machine Learning, and Geo-Information Modelling to Explore and Predict Thermal Field Variance in Response to Urban Growth.” Sustainability, 15(2), 1416.
Research Timeline:

Undergraduate Research:

    • January 2022 – March 2023

 

 

Xu Wu | Water resources management

Posted on by ScienceFather

 🏆 Dr. Xu Wu 🌟 Congratulations! as the Best Researcher Award! 🌟🏆

  • Dr. Xu Wu, School of Civil Engineering, North Minzu University, China: Water resources management

It is with immense pleasure and pride that we extend our warmest congratulations to you for being awarded the “Best Researcher Award” by ScienceFather accolade. Your outstanding contributions to the field of Water Resources and Hydropower Engineering have not only demonstrated your exceptional dedication but have also significantly advanced our understanding of critical issues in this domain.

Your insightful work on flood risk assessment, streamflow variation, and ecological operation of reservoir groups has left an indelible mark on the scientific community. The impact of your research is not only reflected in the prestigious publications but also in the positive influence it has had on addressing real-world challenges in water resource management.

This recognition is a testament to your unwavering commitment, innovative thinking, and tireless efforts in pushing the boundaries of knowledge. We are proud to have you as a Senior Lecturer at the School of Civil Engineering, North Minzu University, and we look forward to witnessing your continued success and contributions to the field. Once again, hearty congratulations on this well-deserved achievement. 🎉 May this be just one of many more milestones in your illustrious career.

Professional Profiles:
Bio Summary:

Dr. Xu Wu is a Senior Lecturer at the School of Civil Engineering, North Minzu University, specializing in Water Resources and Hydropower Engineering. With a Ph.D. from Ningxia University, Dr. Wu’s research encompasses various aspects, including flood risk assessment, streamflow variation analysis, and ecological operation of reservoir groups. With a notable publication record in reputable journals, Dr. Wu has contributed significantly to the understanding and management of water resources in China.

Education:
  • Ph.D. in Water Resources and Hydropower Engineering, Ningxia University, Sep. 2020 – Jul. 2023
  • Master’s in Water Resources, China Institute of Water Resources and Hydropower Research, Sep. 2013 – Jul. 2015
  • Bachelor’s in Hydrology and Water Resources Engineering, Northwest Agriculture and Forestry University, Sep. 2008 – Jul. 2012
Research Focus:
  • Effective Utilization of Water Resource
  • Water Resources Allocation Technology
  • Flood Risk Determination and Projection
  • Streamflow Variation Analysis
  • Reservoir Operation and Multi-Objective Ecological Operation
  • Spatiotemporal Distribution of Drought and Humidity
Professional Journey:
  • Senior Lecturer, School of Civil Engineering, North Minzu University, Sep. 2023 – Present
  • Intermediate Engineer, Zhejiang Institute of Hydraulics & Estuary, Aug. 2016 – Aug. 2020
Honors & Awards:
  • Recognition for Flood Risk Assessment Model in Zhejiang Province, China (Arabian Journal of Geosciences, 2022)
  • Notable Contribution to Water Resource Allocation Model (Water Resources Management, 2021)
Publications Top Noted:
  1. Xu, X., Shen, X., Li, J., Xie, X. M. Determination and projection of flood risk based on multi-criteria decision analysis (MCDA) combining with CA-Markov model in Zhejiang Province, China. Urban Climate 2024, 53.
  2. Wu, X., Li, J., Shen, X. Quantitative analysis for the response of streamflow variation to driving factors in seven major basins across China. Ecological Indicators 2023, 148.
  3. Wu, X., Shen, X., Wei, C., Xie, X., Li, J. Reservoir Operation Sequence- and Equity Principle-Based Multi-Objective Ecological Operation of Reservoir Group: A Case Study in a Basin of Northeast China. Sustainability 2022, 14, 6150.
  4. Wu, X., Shen, X., Li, J. Spatiotemporal Distribution of Drought and Humidity in China Based on the Pedj Drought Index (PDI). Sustainability 2022, 14, 4546.
  5. Wu, X., Shen, X., Li, J. Flood risk assessment model combining hierarchy process and variable fuzzy set theory: a case study in Zhejiang province, China. Arabian Journal of Geosciences 2022, 15, 188.
  6. Shen, X. J., Wu, X., Xie, X. M., Wei, C. J., Li, L. Q., & Zhang, J. J. Synergetic Theory-Based Water Resource Allocation Model. Water Resources Management, 2021, 35(7), 2053-2078.
  7. Shen, X.; Wu, X.; Xie, X.; Ma, Z.; Yang, M. Spatiotemporal Analysis of Drought Characteristics in Song-Liao River Basin in China. Advance in Meteorology. 2017, 2017, 1–13.
Citations:
  • Citations: 30
  • Documents: 28
  • h-index: 2
Research Timeline:
  • 2008-2012: Bachelor’s degree focused on Effective Utilization of Water Resource
  • 2013-2015: Master’s degree in Water Resources Allocation Technology
  • 2016-2020: Intermediate Engineer at Zhejiang Institute of Hydraulics & Estuary
  • 2020-2023: Ph.D. in Water Resources and Hydropower Engineering
  • 2023-Present: Senior Lecturer at North Minzu University