University of Science and Technology Chittagong

+880 1810 097025

+880 1810 097026

registrar@ustc.ac.bd

Fatema Nusrat

Lecturer
Computer Science and Engineering
Email: fatemanusrat@ustc.ac.bd

Profile

Fatema Nusrat is a passionate researcher with a strong background in Computer Science and Engineering (CSE), specializing in Artificial Intelligence, Machine Learning, and Deep Learning techniques. She is currently serving as a Lecturer in the Department of Computer Science and Engineering at the University of Science and Technology Chittagong (USTC), Bangladesh. She holds an MSc in Computer Engineering (CE) from Konya Technical University, Turkey, and a BSc in CSE from the International Islamic University Chittagong (IIUC), Bangladesh.

Nusrat brings several years of teaching experience both in Bangladesh and abroad. Previously, she worked as a Teaching Assistant in CE at Konya Technical University, Turkey (2019), and as an Instructor of Computer Science at the Asian University for Women, Bangladesh (2022). Her academic excellence has been recognized through prestigious awards, including the Turkish Burslari Scholarship for her MSc degree (2018) and the Vice-Chancellor’s Gold Medal for achieving the best results in her BSc program at IIUC. She is also a member of the Institution of Engineers, Bangladesh (IEB).

In addition to her teaching career, Nusrat has completed multiple research projects and has published her work in internationally recognized peer-reviewed journals.

Education

  • M.Sc. in Computer Engineering (CE), Konya Technical University, Konya, Turkey
  • B.Sc. in Computer Science & Engineering (CSE), International Islamic University Chittagong, Bangladesh

Program Affiliated

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

Areas of Interest

  • Medical AI
  • Data Science
  • Neural Network
  • Machine learning
  • Deep Learning

Courses Taught

  • Digital Logic Design (DLD)
  • Digital Logic Design Lab
  • Engineering Ethics
  • Data Structure
  • Computer Fundamentals

Journals & Articles

  • H. Takci, F. Nusrat, “Enhancing the accuracy of heart attack diagnosis through ensemble learning techniques”, Computers in Biology and Medicine (Under review) (Scopus indexed, Q1, IF: 7.0)
  • H. Takci, F. Nusrat, “Highly Accurate Spam Detection with the Help of Feature Selection and Data Transformation”, The International Arab Journal of Information Technology (IAJIT), Vol. 20, No. 1, January 2023, doi.org/10.34028/iajit/20/1/4 (Scopus indexed, Q2, IF: 1.3)
  • F. Nusrat , B. Uzbaş and Ö. K. Baykan, “Prediction of Diabetes Mellitus by using Gradient Boosting Classification”, European Journal of Science and Technology, pp. 268-272, Oct. 2020, doi:10.31590/ejosat.803504; (International Conference on Computer, Electrical and Electronic Sciences ICCEES 2020)