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
Abu Sufiun | Agricultural Data Analysis | Best Researcher Award

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