PUBLICATION(S)

• Sheikh Adilina, Dewan Md. Farid, and Swakkhar Shatabda, “Effective DNA binding protein prediction by using key features via Chou’s general PseAAC,” Journal of Theoretical Biology, Volume 460, 7 January 2019, Pages 64-78, https://doi.org/10.1016/j.jtbi.2018.10.027
• Shadman Shadab, Md Tawab Alam Khan, Nazia Afrin Neezi, Sheikh Adilina and Swakkhar Shatabda, “DeepDBP: Deep Neural Networks for Identification of DNA-binding Proteins,” Informatics in Medicine Unlocked, Volume 19, 2020, Pages 100318, https://doi.org/10.1016/j.imu.2020.100318

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GRADUATE PROJECTS

• Image Registration of Chest CT Volumes

  • Implemented registration method using Elastix and VoxelMorph which won 1st position in the class.
  • The dataset was taken from the Deformable Image Registration Laboratory.

• Brain Tissue Segmentation

  • Performed the segmentation using nnUNet architecture which won 1st position in the class.
  • The IBSR18 Dataset was used for this project.

• Diagnosis in Dermoscopic Images

  • Introduced a Multi-Sizing Ensemble–Based Deep Learning Approach to address the problem and won 1st position in the class.
  • The HAM10000 Dataset was used for this porject.

• goCovidGo

  • Implemented a website in a group using HTML, CSS, Bootstrap & Javascript on Client Side and Node.js, Express, MongoDB (Atlas) & JQuery on Server Side.

• Alzheimer’s Disease Classification

  • The project was to solve three binary classification problems.
  • Designed the preprocessing of the data and trained three different models using R programming language.

• Segmentation of the endocardial border of the left ventricle in diastole and systole

  • Implemented a Machine Leaning model to perform segmentation of the endocardial border of the left ventricle.
  • The dataset was taken from the ACDC MICCAI Challenge 2017.

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UNDERGRADUATE PROJECTS

• Online Student Portal

  • Led a group and designed the website using PHP, SQL, HTML and CSS for System Analysis and Design course.

• Study on Univariate Polynomial Evaluation (Undergraduate Thesis)

  • Implemented several univariate polynomial evaluation methods, Normal method, Horner’s method, Estrin’s method, Brute Force method and Optimized Brute Force method.
  • Tested the methods based on two different parameters, Degree of Polynomial and Number of Terms of polynomial.