Abtahi Islam
Aspiring Software Developer | Machine Learning Research Enthusiast. Building reliable Spring Boot APIs and ML classification systems with real-world impact.
Spring Boot Developer
ML/DL Classification Projects
Research Paper Author
Within 10 seconds, recruiters can access CV, projects, research, and contact.
Education
Educational History
A summary of my academic journey, highlighting key milestones and achievements.
Projects
A collection of projects that highlight my skills in software development, machine learning, and data
science.
Real-World Solutions
Other Projects
Research
Research & Publications
Research contributions that bridge innovation, ethics, and practical implementation.
Journal Publication
The Ethics of AI Technology in Academic Work: Assessing the Line Between Assistance and Plagiarism
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Contribution: Survey design, statistical analysis, chi-square testing, regression
modeling, and ethical framework development.
Keywords: AI Ethics, AI Dependency, Academic Integrity, Responsible AI Integration, AI
Tools in Education.
Conference Publication
Artificial Intelligence in Textile Waste Management: Exploring Predictive Modelling, Recycling Innovations, and Sustainable Solutions
3rd International Conference on Textile Science and Engineering At: BUTEX
Contribution: Survey design, SPSS analysis, chi-square testing, regression modeling, and research interpretation.
Keywords: Artificial Intelligence, Textile Waste Management, Predictive Modelling, Recycling Innovation, Sustainability.
Early prediction of cellular damage using deep learning microscopy
Ongoing Deep Learning Research for Medical Image Classification.
Focus: The focus is on advancing deep learning applications in biomedical imaging for
early
detection, segmentation, and monitoring of cellular and tissue changes. These studies emphasize
real-time, label-free analysis, predictive modeling, and explainability, aiming to
improve clinical translation, robustness across diverse datasets, and
integration into practical healthcare workflows.
The Role of Industry 4.0 Technologies on Carbon Footprint
Reduction in the
Textile Sector: Challenges and Future Prospects
Ongoing Machine Learning Research.
Focus: This study investigates how Industry 4.0 technologies IoT,
AI, big data, and automation can reduce carbon emissions in textile manufacturing.
It highlights adoption levels, sustainability impacts, and challenges such as high
costs, skill gaps, and resistance to change, while emphasizing policy incentives,
workforce training, and collaboration for a greener textile industry.
Skills
Technical strengths
A strong technical foundation built through hands-on projects, continuous learning, and practical
problem-solving.
Achievements
Certificates & recognition
Recognitions that represent my growth, technical expertise, and passion for continuous improvement.
Contact
Let's build something
Let's connect and build meaningful solutions together.
AI
Abtahi Islam
CSE Student Β· ML Enthusiast
Phone
+8801315-477832
Address
6620 Sahapur, Ishwardi, Pabna, Bangladesh
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