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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Computer Science and Engineering




Mr. Md. Aminur Rahman



Designation: Assistant Professor

Email: aminur.cse@aust.edu

Office Extension: 349, 516

Room No: 7A01/L, 8D05



Research Interests

  • Human-Computer Interaction (HCI)
  • Web/Mobile Application Development
  • Natural Language Processing (NLP)

Educational Background

  • Bachelor of Science (BSc), (Computer Science and Engineering), Ahsanullah University of Science and Technology

Honors and Achievements

  • Prime Minister Gold Medal, Ahsanullah University of Science and Technology, 2018
  • Khan Bahadur Ahsanullah Padak, Ahsanullah University of Science and Technology, 2016
  • Dean's Honor List, Ahsanullah University of Science and Technology, 2015
  • Education Board Scholarship, Jashore Education Board, 2007

Publications

Book Chapter
Journal Article
  1. Writer-independent Offline Handwritten Signature Verification using Novel Feature Extraction Techniques, International Journal of Computer Applications, 2019, Foundation of Computer Science (FCS), NY, USA. URL
Conference Proceedings
  1. Voice Outperforms Text in Identifying Personality Traits in Bangla: A Comparative Study, 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024.
  2. PROVABOK: Unveiling the Behavioral Impact of Social Media Influencers on Bangladeshi Youth, 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024.
  3. Towards Better Misogyny Detection in Bangla: Improved Dataset and Cutting-Edge Model Evaluation, 2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI 2024), 2024, IEEE.
  4. Celeb-FBI: A Benchmark Dataset on Human Full Body Images and Age, Gender, Height and Weight Estimation using Deep Learning Approach, 3rd International Conference on Advanced Communication and Intelligent Systems (ICACIS 2024), 2024, Springer. URL
  5. IBFND: An Improved Dataset for Bangla Fake News Detection and Comparative Analysis of Performance of Baseline Models, 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), 2023, IEEE. URL
Others