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

Posted on by Academic achievements

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. 🌟

 

 

 

Abdallah Houcheimi | Information Systems | Best Researcher Award

Posted on by Academic achievements

Mr. Abdallah Houcheimi | Information Systems | Best Researcher Award

Doctor Researcher | Åbo Akademi University | Finland

Short Bio 🌟

Abdallah Houcheimi, born on September 22, 1981, is a university instructor and researcher specializing in information systems. With dual addresses in Bekaa, Lebanon, and Turku, Finland, he combines his expertise in business administration and technology to advance academic and practical knowledge in e-commerce, decision analytics, and artificial intelligence solutions. You can reach him via email at Abdallah.Houcheimi@abo.fi or Skype at ahouchimi@gmail.com.

Profile

ORCID

Education 🎓

Abdallah Houcheimi is currently pursuing a D.Sc. in Information Systems, expected to be completed in October 2024, at Åbo Akademi University in Turku, Finland. He holds a Master of Business Administration in International Business, obtained with Merit in 2015 from the University of Liverpool, UK. His foundational education includes a B.S. in Information Technology, earned in 2006 from the Lebanese International University, Lebanon.

Experience 👨‍🏫

Abdallah Houcheimi has a diverse professional background, starting as an Information Technology Support Analyst at Exceed IT Services Company in Abu Dhabi, UAE, and progressing to roles such as IT Project Leader at the Abu Dhabi Investment Authority (ADIA) and Managing IT Projects at Alpha Data. He served as Assistant Dean and instructor at the Lebanese International University and is currently a full-time doctoral researcher at Åbo Akademi University.

Research Interests 🔬

Abdallah’s research focuses on e-commerce, decision analytics, and artificial intelligence applications across various business domains. His work aims to enhance the understanding and implementation of secure online payment systems, online product information, and the role of social media in electronic retailing (e-tailing).

Awards 🏆

Throughout his career, Abdallah Houcheimi has been recognized for his contributions to academia and the field of information systems. His innovative research and commitment to education have earned him respect and accolades within the academic community.

Publications 📚

Abdallah Houcheimi has contributed several notable publications to the field of information systems:

  1. Houcheimi, A., & Mezei, J. (2024). “The Role of Secure Online Payments in Enabling the Development of E-Tailing.” Journal of Organizational Computing and Electronic Commerce. Read here. Cited by articles in leading journals.
  2. Houcheimi, A., & Mezei, J. (2024). “The Role of Online Product Information in Enabling Electronic Retail/E-tailing.” In: Rocha, Á., et al. (eds) Good Practices and New Perspectives in Information Systems and Technologies. Springer, Cham. Read here.
  3. Houcheimi, A. (2022). “The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market.” Journal of Information System and Technology Management, 7(26), 13-31. Read here.
  4. Houcheimi, A. (In Press). “The Role of Social Media Networks in Enabling the Development of Electronic Retail (E-Tailing).” Submitted to Knowledge and Information Systems Journal.