Asadullah Bin Rahman

As a Computer Science graduate now completing my Master’s, I’ve found my passion at the intersection of AI and the quantum realm. Though I don’t have a formal physics background, I’ve eagerly bridged that gap through self-directed learning and immersive experiences. I’ve thrived in challenging environments like the Womanium Quantum + AI program, where I was honored to be a program finalist and a QSL fellowship nominee, and the IBM Quantum Challenge 2024, where I proudly achieved an 11th global ranking. These opportunities, along with hackathons at MIT and contributions to open-source projects, have allowed me to build practical skills and a deep appreciation for quantum problem-solving. My commitment to this field is ongoing as I continue to deepen my knowledge in advanced quantum algorithms, optimizations, and QKD. Now, I’m actively seeking to channel this dedication into a second Master’s or a PhD program, with the goal of contributing to research in Quantum Optimization and Quantum Machine Learning.

Research Interests: Image Processing, Machine Learning, Quantum Optimization, Quantum Machine Learning(QML), Quantum Key Distribution(QKD). You can read my research statement here.

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

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

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}
}