Mir Sazzat Hossain

Junior Research Scientist at Center for Computational & Data Sciences

A highly motivated and aspiring researcher with a strong background in computer vision and machine learning. With a proven track record spanning over two years, I have contributed significantly to the field, publishing research articles in prestigious conferences, including ICIP and IJCNN. My primary research interests center around various aspects of computer vision and solving real-world problems from different domains using it. Currently, I am working as a Junior Research Scientist at the Center for Computational & Data Sciences (CCDS) at Independent University, Bangladesh. My current research projects include domain adaptation, Mixtures-of-Experts in large multi-modal models (LMMS), protein dynamics prediction using 3D CNNs, and particle jet tagging using graph neural networks. To advance my research experience, I am actively seeking Ph.D. positions in computer vision and machine learning, focusing on topics such as domain adaptation, self-supervised learning, generative models, and vision-language models. I am committed to continuous learning and growth and am excited to contribute to the advancement of computer vision and machine learning research.

Experiences

Publications

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

Lightweight Recurrent Neural Network for Image Super-Resolution

2024 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, October 2024, Pages 1567-1573, DOI: 10.1109/ICIP51287.2024.10647844

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 222Issue C, 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

Posts

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

2024

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    Contract with CCDS extended 🥳 with a new role, Junior Research Scientist

    Excited to share that my contract 📑 with CCDS has been extended with a new role, Junior Research Scientist.

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    Received a travel grant ✈️ from IEEE Signal Processing Society

    Grateful to receive a travel grant of 💲1,000 from the IEEE Signal Processing Society to attend ICIP 2024.

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    Paper 📄 accepted in ICIP 2024

    Thrilled to announce that my paper has been accepted 🤩 in the 2024 IEEE International Conference on Image Processing (ICIP).

2023

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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.

2022

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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.