Mostofa Shariar Sanim

Career Aspiration

To pursue my goals with my skills and try to do something good for our planet Earth. As an environmentalist, I always wanted to work for the betterment of our planet, people, and most of all for our society.

My main research areas of interest are -

Machine Learning
Informatics
Deep Learning
Computer Vision
Artificial-Intelligence
Internet-of-Things (IoT)

See My CV

My Philosophy

"Save the world, save every beautiful thing. Not just be the advantage taker from the world, it is our responsibility - to give something back too, make positive contributions to our home called Earth."

My Skills

Programming Language: C(Mid-Level), C++(Basic), Python(Mid-Level), Javascript(Basic), HTML(Mid-Level), CSS(Mid-Level)

Libraries: NumPy, Pandas, Seaborn, Scikit-Learn, Keras, TensorFlow, OpenCV

Database: SQL, MySQL

Other tool: Git, Latex, Rapid Miner Studio, Weka, Ms Office

Digital System Design: Arduino

Operating System: Windows, Mac OSx, Linux

Digital Design and Editing: Canva, Figma, Adobe Photoshop, Illustrator, Inkscape

Publications

2023

MS Sanim et al,.2023, "Identification of COVID-19 from Other Upper Respiratory Tract Infections Using random Undersampling and LIME-based XAI Model" - 14th ICCCNT 2023 IEEE Conference: 14th International Conference on Computing Communication and Networking Technologies - 2023. https://doi.org/10.1109/ICCCNT56998.2023.10307102

2022

FA Islam, MS Sanim, MR Islam, S Rahman, R Afzal, KM Hasan, "Prediction of Dementia Using SMOTE Based Oversampling and Stacking Classifier" - HIS 2022: Hybrid Intelligent Systems pp 441–452, Lecture Notes in Networks and Systems book series (LNNS,volume 647), Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-27409-1_40

2023

FA Islam, MS Sanim, et al,.2023, "Crop-RecFIS: Machine Learning Classifiers for Crop Recommendation and Feature Importance Scores Calculation" - 14th ICCCNT 2023 IEEE Conference: 14th International Conference on Computing Communication and Networking Technologies - 2023. https://doi.org/10.1109/ICCCNT56998.2023.10307833

2022

FA Islam, R Robbani, MM Alam, MS Sanim, KM Hasan, " ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning" - ANTIC 2022: Advanced Network Technologies and Intelligent Computing pp 3–15, Communications in Computer and Information Science book series (CCIS,volume 1798), Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-28183-9_1

2024

MS Sanim, FA Islam et al., " Alzheimer’s Disease Prediction Using ANOVA-Based Feature Selection with t-distributed Stochastic Neighbor Embedding and Ensemble Learning" - IJ-AI 2024: IAES International Journal of Artificial Intelligence (IJ-AI).

I'm Mostofa Shariar Sanim