Md Tauhidul Alam | Agriculture

Mr. Md Tauhidul Alam, Heartfelt Congratulations on Achieving the Young Scientist Award! πŸŽ“πŸŒŸ

  • 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! πŸŽ‰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. πŸ“š 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! πŸš€

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