Asadullah Bin Rahman

I’m Asadullah Bin Rahman, a Lecturer of Computer Science and Engineering at World University of Bangladesh. My work focuses on image processing, machine learning, and quantum computing.

I have published research on brain tumor classification and MRI image denoising, and I work with quantum computing frameworks such as Qiskit, Cirq, and PennyLane to build hybrid quantum-classical models. I also mentor students in quantum computing through QBangladesh (QWorld), and coach the university’s competitive programming teams for ICPC, NCPC, and inter-university contests.

I am currently looking for PhD positions in image processing, machine learning, and quantum computing. My CV has the full details, and I’d be glad to hear from you.

Research Interests: Image Processing, Machine Learning, Quantum Computing.

Education

M.Sc. (Engineering) in Computer Science and Engineering (July 2023 – July 2025) at Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh
B.Sc. (Engineering) in Computer Science and Engineering (Jan 2017 – Dec 2022) at Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh

Employment

Lecturer of Computer Science and Engineering (July 2025 – Present), World University of Bangladesh (WUB), Dhaka, Bangladesh
Research Assistant (RA) at IoThink Lab (July 2023 – Present), Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh

news

Jun 20, 2025	Contributed to UnitaryHACK 2025
Apr 01, 2025	Attended YQuantum 2025
Feb 20, 2025	Attended the prestigious quantum hackathon — MIT iQuHACK 2025
Dec 31, 2024	Got a new Certification from QWorld
Aug 15, 2024	Received a nomination for the Womanium Quantum Solution Launchpad (QSL) fellowship.
Aug 01, 2024	Participated in the Qiskit Global Summer School 2024 - Quantum Excellence.
Jun 09, 2024	Successfully completed the IBM Quantum Challenge 2024.
Jan 08, 2016	Secured 3rd position in the 6th Bangladesh Academy of Sciences (BAS) Divisional Science Olympiad.
Sep 04, 2015	Achieved 7th position in the 5th Physics Olympiad Dinajpur 2015.

selected publications

arXiv Preprint

Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks

Asadullah Bin Rahman, Masud Ibn Afjal, and Md. Abdulla Al Mamun

2025

Bib PDF

@misc{rahman2025systematicevaluationwaveletbaseddenoising,
  title = {Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks},
  author = {Rahman, Asadullah Bin and Afjal, Masud Ibn and Mamun, Md. Abdulla Al},
  year = {2025},
  eprint = {2508.15011},
  archiveprefix = {arXiv},
  primaryclass = {eess.IV},
  url = {https://arxiv.org/abs/2508.15011},
  keywords = {Image Denoising;Magnetic Resonance Imaging (MRI);Discrete Wavelet Transform (DWT);Biomedical Image Processing}
}

arXiv Preprint

Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet

Asadullah Bin Rahman, Masud Ibn Afjal, and Md. Abdulla Al Mamun

2025

Bib PDF

@misc{rahman2025deeplearningarchitecturesmedical,
  title = {Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet},
  author = {Rahman, Asadullah Bin and Afjal, Masud Ibn and Mamun, Md. Abdulla Al},
  year = {2025},
  eprint = {2508.17223},
  archiveprefix = {arXiv},
  primaryclass = {eess.IV},
  url = {https://arxiv.org/abs/2508.17223},
  keywords = {Deep Learning;Medical Image Denoising;Convolutional Neural Networks;Autoencoder;Transformer Networks}
}

IEEE Conference

Mitigating Noise from Biomedical Images Using Wavelet Transform Techniques

Asadullah Bin Rahman, Masud Ibn Afjal, and Md. Abdulla Al Mamun

In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2025

Bib PDF Slides

@inproceedings{11013062,
  author = {Rahman, Asadullah Bin and Ibn Afjal, Masud and Al Mamun, Md. Abdulla},
  booktitle = {2025 International Conference on Electrical, Computer and Communication Engineering (ECCE)},
  title = {Mitigating Noise from Biomedical Images Using Wavelet Transform Techniques},
  year = {2025},
  volume = {},
  number = {},
  pages = {1-6},
  keywords = {Thresholding (Imaging);Magnetic resonance imaging;Computed tomography;Noise;Noise reduction;Discrete wavelet transforms;Medical diagnostic imaging;Standards;Image denoising;Noise level;Image Denoising;Magnetic Resonance Imaging (MRI);Discrete Wavelet Transformation (DWT)},
  doi = {10.1109/ECCE64574.2025.11013062}
}

IEEE Conference

Enhanced Brain Tumor Classification from MRI Images Using Deep Learning Model

Asadullah Bin Rahman, Md. Touhid Islam, Md. Rashedul Islam, and 2 more authors

In 2023 26th International Conference on Computer and Information Technology (ICCIT), 2023

Bib PDF Slides

@inproceedings{10441064,
  author = {Rahman, Asadullah Bin and Touhid Islam, Md. and Islam, Md. Rashedul and Sohrawordi, Md. and Sultan, Md. Nahid},
  booktitle = {2023 26th International Conference on Computer and Information Technology (ICCIT)},
  title = {Enhanced Brain Tumor Classification from MRI Images Using Deep Learning Model},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-6},
  keywords = {Dimensionality reduction;Deep learning;Transfer learning;Feature extraction;Discrete wavelet transforms;Image classification;Tumors;Contrast Enhanced MRI(CE-MRI);Brain Tumor;Discrete Wavelet Transformation(DWT);CNN},
  doi = {10.1109/ICCIT60459.2023.10441064}
}