publications

2025

1. 

   Self-Supervised Learning for SAR Target Recognition with Multi-Task Pretext Training

   Md Al Siam and Dewan Fahim Noor

   In SoutheastCon 2025, 2025

   Selected among top 5 finalists for the best paper award

   DOI Bib

   @inproceedings{10971440,
     author = {Siam, Md Al and Noor, Dewan Fahim},
     booktitle = {SoutheastCon 2025},
     title = {Self-Supervised Learning for SAR Target Recognition with Multi-Task Pretext Training},
     year = {2025},
     volume = {},
     number = {},
     pages = {1207-1213},
     keywords = {Training;Support vector machines;Deep learning;Target recognition;Training data;Self-supervised learning;Multitasking;Data models;Synthetic aperture radar;Synthetic data;self-supervised learning;synthetic aperture radar;automatic target recognition;target classification;SAR ATR},
     doi = {10.1109/SoutheastCon56624.2025.10971440},
     url = {https://ieeexplore.ieee.org/document/10971440},
     note = {Selected among top 5 finalists for the best paper award},
     url_show = {true},
     note_show = {true}
   }

2. 

   Student Dropout Forecasting and Feature Analysis through Machine Learning Algorithms

   Maliha Hossain, Md. Nazrul Islam Mondal, Md. Mushfiqur Rahman Fakir, and 2 more authors

   In 2025 International Conference on Electrical, Communication and Computer Engineering (ICECCE), 2025

   DOI Bib

   @inproceedings{11258036,
     author = {Hossain, Maliha and Mondal, Md. Nazrul Islam and Fakir, Md. Mushfiqur Rahman and Siam, Md Al and others},
     booktitle = {2025 International Conference on Electrical, Communication and Computer Engineering (ICECCE)},
     title = {Student Dropout Forecasting and Feature Analysis through Machine Learning Algorithms},
     year = {2025},
     volume = {},
     number = {},
     pages = {1-6},
     keywords = {Support vector machines;Accuracy;Machine learning algorithms;Receivers;Nearest neighbor methods;Feature extraction;Transformers;Robustness;Decision trees;Random forests;Dropout;SMOTE;Recursive Feature Elimination;Decision Tree;Random Forest;K-Nearest Neighbors;Support Vector Machine},
     doi = {10.1109/ICECCE67514.2025.11258036},
     url = {https://ieeexplore.ieee.org/document/11258036},
     url_show = {true}
   }

2022

1. 

   Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN

   M. A. M. Hasan, F. Al Abir, M. Al Siam, and 1 more author

   IEEE Access, 2022

   Bib Website

   @article{hasan2022gait,
     title = {Gait Recognition With Wearable Sensors Using Modified Residual Block-Based Lightweight CNN},
     author = {Hasan, M. A. M. and Al Abir, F. and Al Siam, M. and Shin, J.},
     journal = {IEEE Access},
     volume = {10},
     pages = {42577--42588},
     year = {2022},
     publisher = {IEEE},
   }

2021

1. 

   Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique

   F. A. Abir, M. A. Siam, A. Sayeed, and 2 more authors

   Sensors, 2021

   DOI Bib

   @article{abir2021deep,
     title = {Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique},
     author = {Abir, F. A. and Siam, M. A. and Sayeed, A. and Hasan, M. A. M. and Shin, J.},
     journal = {Sensors},
     volume = {21},
     number = {24},
     pages = {8407},
     year = {2021},
     publisher = {MDPI},
     doi = {10.3390/s21248407},
     url = {https://www.mdpi.com/1424-8220/21/24/8407},
     url_show = {true}
   }