University of Science and Technology Chittagong

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Shampa

Sadia Afrin Shampa

Assistant Professor
Computer Science and Engineering
Email: shampa@ustc.ac.bd

Profile

Sadia Afrin Shampa is a committed computer science instructor who is constantly working for professional development and excellence in teaching, leadership, and research. Shampa has a good foundation in computer science and information technology, and she is keen to learn more and develop her skills in related sectors. She is proactive in her learning, which allows her to manage duties effectively, both as part of a team and on her own. Shampa’s enthusiasm for her area inspires her colleagues and pupils, and her dedication ensures that she regularly produces outstanding outcomes. As a dynamic teacher and researcher, she brings creativity and passion to her work, constantly pushing the boundaries of what is possible in computer science and related fields.

Education

  • M.Sc. Engg. in Information and Communication Technology (ICT), Institute of
    Information and Communication Technology(IICT), Bangladesh University of
    Engineering and Technology (BUET) Dhaka, Bangladesh.
  • B.Sc. Engg. in Computer Science and Engineering, Khulna University of
    Engineering and Technology (KUET) Khulna, Bangladesh

Program Affiliated

  • B.Sc. in Computer Science and Engineering (CSE)

Areas of Interest

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Image Processing

Courses Taught

  • Data Structures and Algorithms
  • Discrete Mathematics
  • Software Engineering
  • System Analysis and Design
  • Database Management System
  • Computer Fundamentals/ Introduction to Computer Science
  • Object Oriented Programming(C++, Java)
  • Structured Programming Language (C )
  • Operating System

Journals & Articles

  • Md Nesarul Hoque, Umme Salma, Md Jamal Uddin, Sadia Afrin Shampa, “Depression Intensity Identification using Transformer Ensemble Technique for the Resource-constrained Bengali Language.” in Journal of Engineering Advancements, 2024. DOI: https://doi.org/10.38032/jea.2024.02.001
  • Sadia Afrin Shampa, Md Saiful Islam, “SHAP Analysis: Identification of Factors Enhancing Diabetes Detection Using Boosting Algorithms.” In proceedings of 2023 IEEE International Conference on Telecommunications and Photonics (ICTP), 2023. DOI: 10.1109/ICTP60248.2023.10491068
  • Sadia Afrin Shampa, Md Saiful Islam, Ayatun Nesa, “Machine Learning based Diabetes Prediction: A Cross-Country Perspective”, in proceedings of 2023 International Conference on Next-Generation Computing, IoT and Machine Learning, DOI: 10.1109/NCIM59001.2023.10212596
  • Mariam Barna, Sadia Afrin Shampa, ”Individual Income Tax Profile Maintenance System for Bangladesh.” In International European Extended Enablement in Science, Engineering & Management (IEEE-SEM), 2023. [https://www.ieeesem.com/researchpaper/Individual_Income_Tax_Profile_Maintenance_System_for_Bangladesh.pdf]
  • Sadia Afrin Shampa, Buraira Nasir, Umme Salma, ”Wireless Automated Soil Monitoring System.” In International Journal of Computer Science and Information Security, 2018 [https://www.academia.edu/36936900/Wireless_Automated_Soil_Monitoring_System]