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. 🌟

 

 

 

Anjan Kumar Ayyadapu | Bigdata | Research Excellence Distinction Award

Posted on by Academic achievements

Mr. Anjan Kumar Ayyadapu | Bigdata | Research Excellence Distinction Award

Mr. Anjan Kumar Ayyadapu | Bigdata CyberSecurity – Leader Solution Architect at Cloudera Inc, United States

Anjan Kumar Reddy Ayyadapu is an accomplished researcher and technology expert specializing in artificial intelligence, machine learning, big data, and cloud security. With a career spanning multiple domains, he has significantly contributed to cutting-edge advancements in IT infrastructure and cybersecurity. His expertise has been instrumental in developing innovative solutions that integrate artificial intelligence with big data analytics to enhance cloud security. He has worked with reputed organizations and has published extensively in international journals and conferences, making substantial contributions to the field of computer science and engineering.

Profile 

ORCID |  Google Scholar

Education

Anjan Kumar Reddy Ayyadapu holds a Master of Science in Electrical Engineering from the University of South Alabama, Mobile, AL, USA, which he completed in May 2015. His undergraduate studies were in Electronics and Communication Engineering at Jawaharlal Nehru Technological University, Hyderabad, India, where he earned his Bachelor of Engineering and Technology degree in May 2008. His strong academic background laid the foundation for his expertise in artificial intelligence, machine learning, and cybersecurity.

Experience

With extensive experience in academia and industry, Anjan Kumar Reddy Ayyadapu has worked across multiple disciplines, including artificial intelligence, machine learning, deep learning, big data analytics, and cloud security. His contributions to IT infrastructure and cybersecurity for both private and public cloud environments have been widely recognized. At Cloudera, Inc., he has played a pivotal role in advancing research and developing solutions that optimize data-driven security mechanisms. His work includes designing collaborative recommender systems, implementing AI-driven big data security measures, and innovating cloud security methodologies using hybrid artificial intelligence techniques.

Research Interests

Anjan Kumar Reddy Ayyadapu’s research primarily focuses on artificial intelligence, machine learning, big data, and cybersecurity. His investigations into AI-driven security analytics and deep learning applications for cloud environments have made substantial impacts in these fields. He is particularly interested in integrating AI with big data analytics to enhance cloud security frameworks. Additionally, his research explores the optimization of incident response systems, privacy-preserving AI methodologies, and the implementation of AI in cybersecurity threat mitigation.

Awards & Recognitions

Throughout his career, Anjan Kumar Reddy Ayyadapu has received numerous accolades for his outstanding contributions to research and technology. His work has been recognized in international conferences and journals, and he has earned multiple professional certifications, including AWS Certified Solutions Architect (Professional & Associate), AWS Certified Machine Learning Specialist, and AWS Developer Associate. He has also been awarded several professional badges and credentials from recognized institutions for his expertise in cloud computing, artificial intelligence, and cybersecurity.

Publications 📚

  1. Collaborative Recommender Systems for Building Automation: A Hybrid ANN-FOA Approach (2024, IEEE ICECCC) 🔗
  2. An Application of NB-GA Model: A Study of Logistics Performance and Economic Attributes (2024, IEEE IACIS) 🔗
  3. Embedded Software Development (2024, Zenodo) 📖 ISBN: 978-81-973645-2-5
  4. DATA VISUALIZATION AND INTERPRETATION USING MACHINE LEARNING (2024, Xoffencer) 📖 ISBN: 978-81-19534-64-7
  5. Securing Cloud Data with a Hybrid Approach: Machine Learning and Cryptosystems (2024, Patent) 🏅 The Patent Office Journal No. 06
  6. Enhancing Cloud Security With AI-Driven Big Data Analytics (2023, INTERNATIONAL NEUROUROLOGY JOURNAL) 🔗
  7. Optimizing Incident Response in Cloud Security with AI and Big Data Integration (2023, Chelonian Conservation and Biology) 🔗

Conclusion

Anjan Kumar Reddy Ayyadapu is a distinguished researcher, author, and technology innovator whose contributions to artificial intelligence, machine learning, and cybersecurity continue to shape the future of cloud security. His extensive research output, industry experience, and numerous accolades position him as a leading expert in his field. Through his work, he has demonstrated an unwavering commitment to advancing AI-driven security solutions, optimizing IT infrastructures, and enhancing data security in cloud computing. His impactful research and dedication to technological progress make him a deserving candidate for recognition and accolades in the field of computer science and engineering.