Mir Sazzat Hossain

Research Assistant at Center for Computational & Data Sciences

I am a research assistant at the Center for Computational and Data Sciences (CCDS) at Independent University, Bangladesh (IUB), actively involved in cutting-edge research projects in artificial intelligence, machine learning, and data science. My focus includes computer vision, group theory, manifold learning, and geometric machine learning, with a deep passion for developing innovative solutions that benefit sectors like astronomy, healthcare, and education. In addition to my research responsibilities, I am actively involved in teaching undergraduate students, mentoring, and instructing various courses at IUB. My enthusiasm for learning new data science topics and conducting research drives me to make significant contributions and positively impact others' learning experiences. I am constantly striving to expand my knowledge and expertise in the field, with the ultimate goal of making a meaningful impact through my work.

*Note: Seeking PhD opportunities in machine learning and computer vision.



M.S. Hossain, S. Roy, K.M.B. Asad, A. Momen, A.A. Ali, M.A. Amin and A.K.M.M. Rahman

Morphological classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs

Procedia Computer Science, Volume 222, January 2023, Pages 601-612, ISSN 1877-0509, (International Neural Network Society Workshop on Deep Learning Innovations and Applications (INNS DLIA 2023)), DOI: https://doi.org/10.1016/j.procs.2023.08.198

M.S. Hossain, M.A. Amin, A.K.M.M. Rahman and A.A. Ali

Lightweight Recurrent Neural Network for Image Super-Resolution on Resource-Limited Devices

In Preparation, September 2023, (Please contact the authors for a copy of the manuscript.)


The Poisson Distribution: Your Key to Predicting the Unforeseeable

The blog post explores the Poisson distribution, a statistical distribution commonly used in various fields, including astronomy, to model random events. It explains the properties of the distribution, its real-world applications, and provides a step-by-step guide on how to visualize the Poisson distribution using Python. The post also discusses the issue of Poisson noise in astronomical observations and presents a practical example of how to calculate and deal with it using Python.

Life Events


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    Paper 📄 accepted in IJCNN 2023

    My first paper has been accepted 🤩 in 2023 International Joint Conference on Neural Networks (IJCNN) - Special INNS Workshop: International Neural Network Society Workshop on Deep Learning.


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    Started working at Center for Computational and Data Sciences

    I have started 💼 working at CCDS as a Research Assistant. I am currently working on a project called 'Radio Galaxy Classification' with AKMM Rahman and KMB Asad.


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    Got my degree 🎓 from the Independent University, Bangladesh. I was a Computer Science and Engineering student.