AI
AI & Machine Learning
Predictive modeling, explainable AI, comparative machine learning, trustworthy AI, and data-driven decision systems.
Computer Science Educator & Researcher
Building trustworthy, secure, and data-driven computing solutions.
I am Md Mahbubur Rahman Akash, a Computer Science educator and researcher with an M.S. in Computer Science from Lamar University. My work spans artificial intelligence, machine learning, healthcare analytics, cybersecurity, cloud computing, software engineering, and biomedical sensing technologies.
About
Research with practical and human-centered impact.
My research focuses on developing intelligent, interpretable, secure, and scalable computing systems that address real-world challenges. I am particularly interested in machine learning for predictive healthcare, explainable and trustworthy AI, privacy-preserving data systems, cloud and cybersecurity, and biomedical diagnostic technologies.
Alongside research, I teach Computer Science and help students build skills in programming, computational thinking, web technologies, cybersecurity, and emerging technologies. My long-term goal is to contribute to both computing research and the development of the next generation of technology professionals.
Research Focus
Interdisciplinary computing research
My work connects advanced computing methods with healthcare, security, organizational decision-making, and biomedical technologies.
H
Healthcare Analytics
Early disease prediction, risk stratification, clinical decision support, and data-driven healthcare applications.
S
Cybersecurity & Cloud
Cloud security, AI security, adversarial threats, privacy-preserving systems, and secure computing architectures.
B
Biomedical Technologies
Photonic crystal fiber biosensors, SPR-based diagnostics, and computational approaches for cancer detection.
Selected Publications
Research across AI, healthcare, security, and intelligent systems
2025
Towards Reliable Diabetes Prediction: Comparative Study of Ensemble and Conventional ML Models with Preprocessing Strategies
Machine learning • Healthcare analytics • Predictive modeling
2025
A Comprehensive Study on Cloud Computing Architecture and Emerging Security Challenges with Mitigation Strategies
Cloud computing • Cybersecurity • Security architecture
2025
A Comprehensive Review on Photonic Crystal Fiber Based Bio-Sensors for Various Cancer Detection in Human Body
Biomedical sensing • Photonics • Cancer diagnostics
2024
Methods and Tools for SAP Development: A Comparative Analysis
Software engineering • Enterprise systems • Comparative analysis
2023
Data Driven Micromanagement Using Machine Learning System
Machine learning • Organizational behavior • Data-driven management
2022
Human-AI Decision Hybrids in Middle Managements
Human-AI collaboration • Organizational decision-making • Responsible AI
Experience
Education, research, and software development
Computer Science Educator
Teaching Computer Science and Web Design with emphasis on programming, computational thinking, cybersecurity, web technologies, and career readiness.
Independent & Collaborative Research
Research in AI/ML, healthcare analytics, cybersecurity, human-AI systems, software engineering, and biomedical sensing technologies.
Java / Full-Stack Development
Experience with Java, Spring Boot, microservices, databases, cloud technologies, APIs, frontend frameworks, CI/CD, and secure software development.
Teaching
Preparing students for computing careers.
My teaching emphasizes hands-on learning, problem solving, programming, web development, cybersecurity awareness, and professional skills. I aim to connect classroom learning with authentic computing practices so students can see clear pathways into college, industry, and future technology careers.
PythonJavaAIMLHTML/CSSWeb DesignCybersecurityComputational Thinking
Computer Science Blog
Notes, tutorials, and practical guides
A growing collection of posts on programming, AI, machine learning, cybersecurity, web development, and computer science education.
Python Foundations for Beginners
Clear explanations of variables, conditions, loops, functions, lists, and problem-solving patterns.
Understanding Machine Learning Without the Hype
A practical introduction to supervised learning, evaluation metrics, overfitting, and explainability.
Security Concepts Every CS Student Should Know
Authentication, access control, phishing, encryption, vulnerabilities, and secure computing habits.
Contact
Interested in research, collaboration, or computing education?
Use the links below to explore my research profile. You can add your preferred email, LinkedIn, ResearchGate, ORCID, and SSRN links in the HTML before publishing.