Sajratul Yakin Rubaiat

University of Idaho, Moscow

Idaho 83843

yakin.rubaiat@gmail.com

I’m Sajratul Yakin Rubaiat, a PhD student at the University of Idaho specializing in Large Language Models (LLMs) and database systems. My research lies at the intersection of artificial intelligence and database engineering, where I explore innovative ways to apply LLMs in fields requiring real-time information, such as journalism and biomedical research. I am supervised by Dr. Hasan Jamil and work in the SmartDatabase Lab, where we’re developing advanced database solutions driven by AI.

Previously, I worked as a Senior Software Engineer at Enosis Solutions and Practice by Numbers, where I led projects focused on data synchronization, campaign automation, security enhancements, and UI/UX improvements, optimizing systems for performance and reliability across global teams. My experience also includes developing machine learning solutions for early diagnosis in medical applications, such as pneumonia detection through X-ray analysis and diabetes prediction as part of my undergraduate research.

Additionally, I have experience in competitive programming, having participated in the ACM ICPC, which sharpened my problem-solving skills. I’m an avid learner with strong foundations in Python, C++, and Java, along with proficiency in frameworks like TensorFlow, PyTorch, Django and React. When I’m not immersed in research or coding, I enjoy cooking, exploring new cuisines, and discovering scenic spots around Idaho.

selected publications

IIWAS

Online Digital Investigative Journalism using SociaLens

Hasan Jamil, and Sajratul Y. Rubaiat Rubaiat

In 26th International Conference on Information Integration and Web Intelligence (IIWAS), 2024

DOI Bib

@inproceedings{socialLens2024,
  title = {Online Digital Investigative Journalism using SociaLens},
  author = {Jamil, Hasan and Rubaiat, Sajratul Y. Rubaiat},
  booktitle = {26th International Conference on Information Integration and Web Intelligence (IIWAS)},
  year = {2024},
  url = {https://arxiv.org/abs/2410.11890},
  doi = {10.48550/arXiv.2410.11890},
}

Harvard Dataverse

Bangladesh Rape Cases Metadata

Sajratul Yakin Rubaiat, and Hasan M. Jamil

2024

DOI Bib

@data{DVN/ONPC21_2024,
  author = {Rubaiat, Sajratul Yakin and Jamil, Hasan M.},
  publisher = {Harvard Dataverse},
  title = {{Bangladesh Rape Cases Metadata}},
  unf = {UNF:6:/TD7jKdtP5xHDlHoxllv3A==},
  year = {2024},
  version = {V2},
  doi = {10.7910/DVN/ONPC21},
  url = {https://doi.org/10.7910/DVN/ONPC21},
}

Harvard Dataverse

Bangladesh Weather Dataset (1901 - 2023)

Sajratul Yakin Rubaiat

2023

DOI Bib

@data{DVN/ZP8IEJ_2024,
  author = {Rubaiat, Sajratul Yakin},
  publisher = {Harvard Dataverse},
  title = {{Bangladesh Weather Dataset (1901 - 2023)}},
  unf = {UNF:6:ja4Fg8M+VnqpyexzCpnIjw==},
  year = {2023},
  version = {V1},
  doi = {10.7910/DVN/ZP8IEJ},
  url = {https://doi.org/10.7910/DVN/ZP8IEJ},
}

IJHCI

Design Recommendations for a Smartphone-based Point-of-Care Tool: Analyzing Context and Implications for Use in Rural Bangladesh

MK Hasan, D Saxena, Y Rubaiat, and 2 more authors

International Journal of Human–Computer Interaction, 2022

DOI Bib

@article{kamrul2022,
  title = {Design Recommendations for a Smartphone-based Point-of-Care Tool: Analyzing Context and Implications for Use in Rural Bangladesh},
  author = {Hasan, MK and Saxena, D and Rubaiat, Y and Ahamed, SI and Guha, S},
  journal = {International Journal of Human–Computer Interaction},
  year = {2022},
  doi = {10.1080/10447318.2023.2175462},
}

Harvard Dataverse

Bangladesh Rape Case Survey

Sajratul Yakin Rubaiat, and Sheherjan Haq

2022

DOI Bib

@data{DVN/EPDIG7_2024,
  author = {Rubaiat, Sajratul Yakin and Haq, Sheherjan},
  publisher = {Harvard Dataverse},
  title = {{Bangladesh Rape Case Survey}},
  unf = {UNF:6:aErmLhLVvDD37YUeo7GZ+g==},
  year = {2022},
  version = {V1},
  doi = {10.7910/DVN/EPDIG7},
  url = {https://doi.org/10.7910/DVN/EPDIG7},
}

ICECIT

Pneumonia Detection Using Deep Transfer Learning in Gender Specific Chest X-ray Images

Syed Nazmus Sakib, Raihan Masud, Sajratul Yakin Rubaiat, and 3 more authors

In 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), 2021

DOI Bib

@inproceedings{Geirhos2017,
  title = {Pneumonia Detection Using Deep Transfer Learning in Gender Specific Chest X-ray Images},
  author = {Sakib, Syed Nazmus and Masud, Raihan and Rubaiat, Sajratul Yakin and Bepery, Chinmay and Sarker, Manash and Hasan, Md Kamrul},
  booktitle = {2021 International Conference on Electronics, Communications and Information Technology (ICECIT)},
  year = {2021},
  pages = {1-4},
  doi = {10.1109/ICECIT54077.2021.9641281},
}

ICECE

Efficacy of Transfer Learning Models in Pneumonia Detection with Scarce Local Healthcare Data

Syed Nazmus Sakib, Sajratul Yakin Rubaiat, Raihan Masud, and 2 more authors

In The 12th International Conference on Electrical and Computer Engineering (ICECE), 2022

DOI Bib

@inproceedings{Sakib2022,
  title = {Efficacy of Transfer Learning Models in Pneumonia Detection with Scarce Local Healthcare Data},
  author = {Sakib, Syed Nazmus and Rubaiat, Sajratul Yakin and Masud, Raihan and Sarker, Manash and Bepery, Chinmay},
  booktitle = {The 12th International Conference on Electrical and Computer Engineering (ICECE)},
  year = {2022},
  pages = {1-4},
  doi = {10.1109/ICECE57408.2022.10088848},
}

ICIET

Important Feature Selection & Accuracy Comparisons of Different Machine Learning Models for Early Diabetes Detection

Sajratul Yakin Rubaiat, Md Monibor Rahman, and Md. Kamrul Hasan

In 2018 International Conference on Innovation in Engineering and Technology (ICIET), 2018

DOI Bib

@inproceedings{Knuth1998,
  title = {Important Feature Selection & Accuracy Comparisons of Different Machine Learning Models for Early Diabetes Detection},
  author = {Rubaiat, Sajratul Yakin and Rahman, Md Monibor and Hasan, Md. Kamrul},
  booktitle = {2018 International Conference on Innovation in Engineering and Technology (ICIET)},
  year = {2018},
  pages = {1-6},
  doi = {10.1109/CIET.2018.8660831},
}