Md Minhajul Amin | Computer Science | Best Innovator Award

Best Innovator Award

Md Minhajul Amin
Affiliation Intento Analytics
Country United States
Google Scholar 8Cc4X70AAAAJ
Documents 11
Citations 86
h-index 4
Subject Area Computer Science
Event International Academic Achievements & Awards

Md Minhajul Amin
Intento Analytics, United States

Md Minhajul Amin is a data analyst and researcher specializing in business analytics, artificial intelligence, healthcare informatics, project management, and big data applications. His multidisciplinary research integrates predictive analytics, machine learning, digital healthcare, and operational decision-making. Through academic publications, IEEE conference papers, industrial projects, and editorial activities, he has contributed to advancing evidence-based management and intelligent data-driven systems.[1]

Abstract

Md Minhajul Amin has established an interdisciplinary research portfolio connecting artificial intelligence, predictive analytics, healthcare systems, fraud detection, digital communication, and project management. His work emphasizes practical analytical solutions that improve organizational efficiency and support evidence-based decision-making across healthcare and business environments.[2]

Keywords

Business Analytics, Artificial Intelligence, Machine Learning, Healthcare Analytics, Telemedicine, Big Data, Project Management, Data Visualization, Predictive Analytics, Digital Transformation.

Introduction

Holding an M.S. in Information Systems from Central Michigan University, Md Minhajul Amin combines academic research with industry experience in data analytics. His research focuses on solving real-world organizational challenges through statistical analysis, visualization, artificial intelligence, and business intelligence technologies.[3]

Research Profile

  • IEEE conference contributor.
  • Associate Editor at IFR Discovery.
  • Editorial Board Member of The Science Post Journal.

Research Contributions

His publications cover ethical business analytics, AI-powered project management, fraud detection, cancer classification using machine learning, telemedicine implementation, customer segmentation, healthcare dashboards, RF communication systems, and network management technologies. His research demonstrates the practical integration of advanced analytics into healthcare, engineering, and organizational management.[4]

Publications

  • Ethical Challenges in Business Analytics.
  • Developing a Project Management Dashboard for Telehealth.
  • Business Analytics in the Era of Big Data.
  • AI-Powered Personalized Marketing.
  • Classification of Cancer Stages Using Machine Learning.

Research Impact

His scholarly output has attracted citations across business analytics, healthcare informatics, artificial intelligence, and project management disciplines. His professional activities further include patented AI-driven analytical devices and collaborative research addressing practical industry challenges.

Award Suitability

Considering his multidisciplinary research portfolio, peer-reviewed publications, IEEE conference participation, editorial responsibilities, industrial analytics experience, and measurable research impact, Md Minhajul Amin demonstrates qualifications aligned with recognition under an Innovative Research Award category.

Conclusion

Md Minhajul Amin continues contributing to applied research that bridges artificial intelligence, business analytics, healthcare systems, and project management. His academic achievements and industry experience illustrate the growing role of data-driven methodologies in addressing modern organizational and societal challenges.

External Links

References

    1. Amin, M. M., Munmun, Z. S., Atayeva, J., Ahmed, S. W., Shamim, I., & Akter, M. H. (2025).
      Developing a Project Management Dashboard for Telehealth Implementation.
      https://www.researchgate.net/publication/392591167_Developing_a_Project_Management_Dashboard_for_Telehealth_Implementation
    2. Google Scholar. (2026).
      Md Minhajul Amin – Google Scholar Profile.
      https://scholar.google.com/citations?user=8Cc4X70AAAAJ&hl=en
    3. ResearchGate. (2026).
      Md Minhajul Amin – Research Profile.
      https://www.researchgate.net/profile/Md-Minhajul-Amin
    4. LinkedIn. (2026).
      Md Minhajul Amin – Professional Profile.
      https://www.linkedin.com/in/md-minhajul-amin-cmu

Abhilash Reddy Pabbath Reddy | Computer Science | Best Researcher Award

Mr. Abhilash Reddy Pabbath Reddy | Computer Science | Best Researcher Award

Software Engineer at Axle/National Institute of health, United States

Abhilash Reddy Pabbath Reddy is a seasoned DevSecOps engineer and researcher with extensive experience in artificial intelligence, cybersecurity, and cloud computing. With a passion for leveraging cutting-edge technology to drive innovation, he has contributed significantly to both industry and academia. Currently, he works with the National Institute of Health, where his expertise helps enhance security and efficiency in software systems.

Profile

Google Scholar

Education 🎓

Abhilash earned a Master of Science degree in Electrical Engineering from Texas Tech University, Lubbock, TX, in December 2015. During his academic journey, he received the prestigious TTU Seacat EE Scholarship for his outstanding achievements.

Experience 💼

Abhilash has accumulated over a decade of professional experience, working with renowned clients such as IBM, Mercedes, T-Mobile, and the National Institute of Health. His expertise spans software engineering, DevSecOps, cloud security, and artificial intelligence. In his roles, he has successfully implemented advanced technologies to address complex challenges, ensuring secure and scalable software solutions.

Research Interests 🔬

Abhilash’s research focuses on artificial intelligence, machine learning, cybersecurity, AIOps, MLOps, healthcare, and cloud computing. His innovative work explores AI-driven solutions for cloud security, predictive analytics, and proactive threat detection.

Honors and Awards 🏆

Abhilash was awarded the TTU Seacat EE Scholarship by Texas Tech University in recognition of his academic excellence and contributions to electrical engineering. He is also a proud member of IEEE, staying at the forefront of technological advancements.

Publications 📚

Abhilash has authored several impactful articles and patents that bridge the gap between AI and cybersecurity. Notable works include:

The Role of Artificial Intelligence in Proactive Cyber Threat Detection In Cloud Environments

  • Year: 2021
  • Cited by: 18

Automating Incident Response: AI-Driven Approaches To Cloud Security Incident Management

  • Year: 2020
  • Cited by: 13

Machine Learning Models for Anomaly Detection in Cloud Infrastructure Security

  • Year: 2021
  • Cited by: 12

Securing Multi-Cloud Environments with AI And Machine Learning Techniques

  • Year: 2021
  • Cited by: 11

Navigating the Cloud’s Security Maze: AI and ML as Guides

  • Year: 2023
  • Cited by: 9

The Future Of Cloud Security: AI-Powered Threat Intelligence And Response

  • Year: 2022
  • Cited by: 9

Harnessing the Power of AI and ML Transforming Cybersecurity in the Cloud Era

  • Year: 2022
  • Cited by: 2

Defending the Cloud: How AI and ML Are Revolutionizing Cybersecurity

  • Year: 2019
  • Cited by: 2

Conclusion 🌍

In conclusion, Abhilash Reddy Pabbath Reddy is highly suited for the Research for Best Researcher Award. His extensive research in AI, machine learning, and cybersecurity, combined with his practical experience in cloud security and AIOps, positions him as a valuable contributor to the scientific and engineering communities. His work is impactful, addressing modern challenges in cloud environments and security, making him an excellent candidate for the award.