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)
• ICTD

Educational Background

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

Honors and Achievements

• Two "BEST TECHNICAL PRESENTATION OF THE SESSION" Awards, 27th International Conference on Computer and Information Technology (ICCIT), 2024
• Prime Minister Gold Medal, University Grants Commission of Bangladesh, 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

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

1. CineXDrama: Relevance Detection and Sentiment Analysis of Bangla YouTube Comments on Movie-Drama Using Transformers: Insights from Interpretability Tool, 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2025, IEEE. URL
2. Voice Outperforms Text in Identifying Personality Traits in Bangla: A Comparative Study, 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024.
3. PROVABOK: Unveiling the Behavioral Impact of Social Media Influencers on Bangladeshi Youth, 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024, IEEE.
4. 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. URL
5. 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
6. 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