Asadullah Bin Rahman

I’m Asadullah Bin Rahman, a passionate researcher and educator specializing in quantum computing and machine learning. Currently serving as a Lecturer of Computer Science and Engineering at World University of Bangladesh, I explore the intersection of quantum algorithms and artificial intelligence to solve complex computational problems.

My research spans quantum machine learning, medical image processing, and computer vision, with published work on brain tumor classification and MRI image denoising. I’m proficient in quantum computing frameworks like Qiskit, Cirq, and PennyLane, developing hybrid quantum-classical models for classification and anomaly detection.

As an active contributor to the quantum computing community, I’ve achieved notable recognition including ranking 11th globally in IBM Quantum Challenge 2024, winning at MIT iQuHACK 2025, and being selected as a Womanium Quantum + AI program finalist. I hold advanced certifications in quantum algorithms and maintain a strong competitive programming background. Beyond research, I’m passionate about advancing quantum education and bridging the gap between theoretical concepts and practical applications.

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

Education

M.Sc. (Engineering) in Computer Science and Engineering (July 2023 – Present) 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
Lecturer of Computer Science and Engineering (Mar 2023 – Sep 2023), Govt. Shahid Akbar Ali Science and Technology College (SASTC) (Affiliated to 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}
}