Asadullah Bin Rahman

he/him

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I am a Computer Science graduate with a keen interest in Quantum Computing. My expertise includes Image Processing, Machine Learning, and Quantum Computing. Despite not having a formal background in Physics, I have eagerly taken on the challenge of self-directed learning in this advanced field. I participated in the Qiskit Global Summer School 2024 and the Womanium Quantum + AI Global Summer Program, where I excelled and got nominated for the Womanium Quantum Solution Launchpad (QSL) fellowship. Additionally, I participated in the IBM Quantum Challenge 2024, where I completed each task and finished with rank 11 globally. Currently, I am enrolled in the QClass24/25 by QWorld for advanced quantum computing coursework. I am now actively seeking opportunities for a second Master’s or a PhD in Quantum Computing.

Research Interests: Image Processing, Machine Learning, Quantum Information, 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 – Cont.) 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 – Cont.), 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

selected publications

  1. 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