Abu Sufiun | Agricultural Data Analysis | Best Researcher Award

Mr. Abu Sufiun | Agricultural Data Analysis | Best Researcher Award

Mr. Abu Sufiun at Daffodil International University, Bangladesh

🔗 Profile

Scopus Profile

🧑‍💻 Summary

Abu Sufiun is a proficient software developer with expertise in RESTful APIs, Laravel, and React. His strong grasp of database management systems, including advanced queries and design, complements his experience in managing complex projects and architecture design. Abu also possesses skills in AI and Machine Learning, blending practical development with academic research and instruction.

🎓 Education

  • B.Sc. in Computer Science and Engineering
    Daffodil International University (2017-2021)
    CGPA: 3.80/4
  • Higher Secondary School Certificate
    Major General Mahmudul Hasan Adarsha College (2014-2016)
    CGPA: 4.92/5
  • Secondary School Certificate
    Dighulia Shahid Mizanur Rahman High School (2012-2014)
    CGPA: 5.00/5

💼 Professional Experience

  • Application Development Officer
    Hop Lun (May 2023 – Present)
    Abu is implementing ERP systems and business applications to enhance company efficiency. His role involves thorough testing, server maintenance, and integration with scanning devices, while collaborating across various departments to streamline operations.
  • Lecturer
    Department of Computer Science and Engineering, Daffodil International University (June 2022 – May 2024)
    As a lecturer, Abu conducted classes, integrated e-learning platforms, and advised students. He published high-impact research papers and managed programming labs, contributing to the academic and practical learning environment.

🔬 Research Interests

Abu Sufiun’s research delves into the integration of AI with system design and development. His work includes AIoT-based hydroponic systems, neural network applications for healthcare, and innovative Machine Learning techniques for Bangla handwriting and number plate detection. His publications reflect his contributions to advancing both technology and its practical applications.

📖 Publication

An AIoT-based hydroponic system for crop recommendation and nutrient parameter monitorization
  • Authors: M.A. Rahman, N.R. Chakraborty, A. Sufiun, S.K. Banshal, F.R. Tajnin
  • Journal: Smart Agricultural Technology
  • Year: 2024
 Automatic Bengali Number Plate Detection and Authentication using YOLO-V4 and YOLO-V5
  • Authors: A. Sufiun, M.H.I. Bijoy, N.R. Chakraborty, M.A.A.K. Akash
  • Conference: 26th International Conference on Computer and Information Technology (ICCIT 2023)
  • Year: 2023

Khaled Rahman | Agricultural Data Analysis| Young Scientist Award

Mr. Md. Khaled Rahman, Agricultural Data Analysis, Young Scientist Award

Khaled Rahman at Bangladesh Fisheries Research Institute, Bangladesh

Summary:

Mr. Md. Khaled Rahman is a Scientific Officer at the Bangladesh Fisheries Research Institute. He holds a Master’s degree in Fisheries Technology from Bangladesh Agricultural University and has received numerous accolades for his academic excellence and research contributions. Rahman’s research focuses on post-harvest loss reduction, value addition, and socio-economic aspects of fisheries. He is skilled in data analysis using software like R and SPSS and is proficient in both Bangla and English. Rahman is committed to collaborative teamwork and has conducted training programs for stakeholders in various districts, aiming to enhance fish handling practices and participatory planning.

👩‍🎓Education:

  • M.Sc. Fisheries Technology, Bangladesh Agricultural University, 2019 (CGPA: 3.84 out of 4)
  • B.Sc. (Hons.) Fisheries, Noakhali Science and Technology University, 2016 (CGPA: 3.75 out of 4)
  • HSC, Dhaka College, 2011 (GPA: 5 out of 5)
  • SSC, Shamsul Haque Khan High School, 2009 (GPA: 5 out of 5)

Professional Experience:

Mr. Md. Khaled Rahman has amassed a wealth of professional experience in the realm of fisheries science. Currently serving as a Scientific Officer at the Bangladesh Fisheries Research Institute, Rahman plays a pivotal role in conducting research and implementing projects aimed at enhancing the sustainability and productivity of aquatic resources. He has been actively involved in projects funded by the Krishi Gobeshona Foundation, focusing on post-harvest loss reduction and value addition of freshwater fish. Rahman’s expertise extends beyond research as he has conducted extensive training programs for stakeholders, imparting knowledge and skills crucial for improved fish handling practices and participatory planning. His commitment to advancing the field of fisheries is underscored by his dedication to collaborative teamwork and his continuous efforts to bridge the gap between research findings and practical applications in the field.

Research Interest :

Mr. Md. Khaled Rahman’s research interests center around addressing key challenges in fisheries science and management, with a particular focus on post-harvest loss reduction, value addition, and socio-economic impacts. His work aims to develop innovative strategies for improving the efficiency of fish processing and distribution, ultimately contributing to enhanced food security and livelihoods in Bangladesh. Rahman is deeply committed to biodiversity conservation and sustainable aquaculture practices, seeking to balance economic development with environmental stewardship. With a keen interest in interdisciplinary collaboration, Rahman explores the intersection of biology, economics, and policy to inform evidence-based decision-making and promote the long-term resilience of aquatic ecosystems. Through his research, Rahman strives to generate actionable insights that can drive positive change in fisheries management and contribute to the sustainable utilization of aquatic resources for future generations.

Publication Top Noted: