Mr. Md. Asraful Sharker Nirob | Data Science | Best Researcher Award

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Mr. Md. Asraful Sharker Nirob | Data Science | Best Researcher Award

Mr. Md. Asraful Sharker Nirob | Data Science – Researcher at Daffodil International University, Bangladesh

Md. Asraful Sharker Nirob is a highly motivated early-career researcher in computer science with a focus on machine learning, deep learning, and artificial intelligence applications. With a strong academic background and research involvement at the Health and Informatics Lab, he is driven to solve real-world problems in agriculture and healthcare using intelligent systems. His experience spans industry and academia, with a combination of technical expertise and leadership qualities that position him as a rising figure in applied AI research.

Profile:

Orcid | Scopus | Google Scholar

Education:

Nirob completed his Bachelor of Science in Computer Science and Engineering from a well-regarded university in Bangladesh, graduating with a CGPA of 3.70 out of 4.00. Throughout his academic journey, he maintained a high level of performance, actively engaged in research projects, and participated in student organizations. His academic background provided him with a solid foundation in software engineering, machine learning, data science, and algorithmic problem-solving.

Experience:

He is currently serving as a Research Assistant at the Health and Informatics Lab, where he works on AI-based models for disease diagnosis and predictive analysis. His responsibilities include dataset curation, preprocessing, and implementing neural network models using frameworks such as TensorFlow and PyTorch. Previously, he worked as a Junior Software Engineer, contributing to responsive web application development using React.js, JavaScript, and version control systems. He also gained administrative and communication experience as a Student Associate at the university’s career development center.

Research Interest:

Nirob’s research interests lie in machine learning 🤖, computer vision 👁️, deep learning 🧠, and natural language processing 💬. He is particularly passionate about explainable AI, neural network architectures, and hybrid deep learning models. His projects often explore the intersection of AI and practical domains like agriculture and medical imaging, with a goal to enhance classification accuracy, interpretability, and real-world impact.

Award:

Md. Asraful Sharker Nirob is a strong candidate for the Best Researcher Award due to his excellent research contributions, early career productivity, and innovative use of AI in solving domain-specific problems. His technical skills, multi-disciplinary collaborations, leadership in co-curricular activities, and strong academic record make him a well-rounded researcher. His dedication to publishing high-quality research and building accessible datasets adds further weight to his nomination.

Publications:

  • “XSE-TomatoNet” 🍅 – MethodsX, 2025
    Introduced an explainable AI approach using EfficientNetB0; cited for improving agricultural diagnostics.
  • “COLD-12” 🌿 – Franklin Open, 2025
    Hybrid CNN model for cotton disease detection; praised for high accuracy and innovation in multi-level features.
  • “Dragon Fruit Dataset” 🍓 – Data in Brief, 2023
    Created a comprehensive fruit maturity grading dataset; referenced in multiple dataset-driven research works.
  • “Brain Tumor Classification with Explainable AI” 🧠 – ECCE Conference, 2025
    Proposed a multi-scale attention fusion model; appreciated for bridging AI with medical imaging.
  • “Credit Card Fraud Detection” 💳 – IJRASET, 2024
    Leveraged behavioral biometrics and Random Forest; cited in interdisciplinary cybersecurity studies.
  • “Lemon Leaf Dataset” 🍋 – Data in Brief, 2024
    Shared high-quality annotated lemon disease dataset; reused in computer vision-based plant disease research.
  • “Sugarcane Disease Classification” 🌱 – IEEE STI Conference, 2024
    Applied hybrid DL model to agriculture; useful in smart farming systems and cited in precision agri-tech work.

Conclusion:

In summary, Md. Asraful Sharker Nirob demonstrates the qualities of a dedicated and impactful young researcher. With a diverse publication portfolio, technical depth, and ongoing contributions to pressing real-world problems, he stands out as a deserving nominee for the Best Researcher Award. His strong academic background, innovation in AI applications, and leadership in student activities indicate a promising future in academia and research. 🌟