From my first year of university in 2019, I began learning C/C++ and Python for problem-solving while maintaining strong academic performance. I participated in international competitions such as IYMC 2019 and IAAC 2020, where I worked on challenging research-oriented problems. My first international success came from solving these problems using my own algorithms. This experience strengthened my confidence and helped me realize my passion for research, eventually leading me toward a career in artificial intelligence.

Since then, I have viewed learning as a lifelong journey. I deeply value knowledge for its depth, durability, and long-term impact.

I feel fortunate to have been among the first Bangladeshi undergraduate students to receive two international research internship opportunities in the same year. After leading my team to win the “Smart Roads – Winter Road Maintenance Hackathon 2021”, I was offered a three-week Machine Learning research internship at UiT - The Arctic University of Norway. During this internship, I contributed to the DIT4BEARs Smart Roads project.

In October 2021, I was honored to receive a fully funded scholarship as a Research Intern (RI) at the Okinawa Institute of Science and Technology Graduate University (OIST). Under the supervision of Prof. Jonathan Miller in the Physics and Biology Unit (Miller Unit), I conducted research on perfectly conserved sequences in humans and other species.

This early experience later led to another opportunity at OIST in 2023, when I joined as a Visiting Research Student (VRS). After graduating in March 2024, I continued collaborating with the Miller Unit as a Visiting Researcher (VR) until March 2025. During this period, I worked closely with Prof. Miller, Dr. Lucia Zifcakova, Dr. Biller, Dr. Lajbner, and Dr. Pnini on the evolutionary dynamics of strongly conserved sequences in vertebrates and insects.

During my undergraduate studies and early research career, I had the privilege of being co-supervised by Prof. M. F. Mridha, Prof. Nilanjan Dey, Prof. Md. Saiful Islam, and Dr. Mohammad Arafat Hussain, a Postdoctoral Fellow at Harvard Medical School.

I also had the opportunity to collaborate with distinguished computer scientists, including Prof. R. Simon Sherratt (IEEE Fellow), Prof. Jungpil Shin, Prof. Yuichi Okuyama, Prof. Zeyar Aung, Prof. Yutaka Watanobe, Prof. Md. Rashedul Islam, and Prof. Md. Jakir Hossen.

In Bangladesh, my undergraduate thesis was among the earliest works from KUET to focus on Quantum Machine Learning (QML), ultimately leading to a publication in Nature Scientific Reports. Some notable aspects of this achievement include:

  • The thesis led to a Nature Portfolio publication before my undergraduate graduation.
  • It was among the first publications from the KUET IEM department, by a student or faculty member, in a Nature Portfolio journal.
  • It contributed to one of the earliest published Quantum Computing research efforts from KUET.
  • It introduced an application of Explainable Quantum Machine Learning in the domain of Supply Chain Management.

During the review phase of this paper in 2023, I was honored to receive an encouraging email from Prof. Junyu Liu, a respected researcher in quantum information and machine learning and currently an Assistant Professor at the University of Pittsburgh. Prof. Liu came across my thesis on arXiv while he was a postdoctoral researcher at the University of Chicago and kindly shared his appreciation for the work.