Md Tanvir Islam is a dedicated scholar pursuing his Master's degree in Computer Science and Engineering at Sungkyunkwan University (SKKU) in the Republic of Korea. With a strong foundation from completing his Bachelor's degree in the same field in 2019, he has been recognized for his exceptional potential and awarded the prestigious Global Korea Scholarship (GKS) in 2021, a fully funded scholarship offered by the Korean government. Currently, as a master's research student, he is an esteemed member of the Visual Analytics for Knowledge Laboratory (VIS2KNOW Lab), focusing his research on Computational Bioinformatics and Computer Vision. Md Tanvir Islam's passion for innovative applications of computer science is evident through his published research papers at reputable conferences.
Email: [email protected]
- Python: Numpy | Pandas | Matplotlib | Seaborn | Scikit-learn | Keras | PyTorch
- Database: MySQL
- Data Visualization Tools: Power BI | Tableau | Excel
- Design Tools: Adobe Illustrator | Adobe Photoshop | Figma
- An Empirical Study on Diabetes Mellitus Prediction Using Apriori Algorithm
- Diabetes Mellitus Risk Prediction Using Artificial Neural Network
- A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior
- Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches
- An empirical study to predict diabetes mellitus using K-means and hierarchical clustering techniques
- Typical and non-typical diabetes disease prediction using random forest algorithm
- Human behavior analysis using association rule mining techniques
- A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior
- Identification of Cyanide within Hollow Core Photonics Crystal Fiber
See more on Tanvir's Google Scholar profile.