Profile of Md. Kaderi kibria


Md. Kaderi kibria


Department of Statistics (STT)

Faculty of Science

Hajee Mohammad Danesh Science & Technology University, Dinajpur.


Mobile: +8801706719250


    Possess vast experience in teaching as well as managing course content of students. Ability to maintain high standards of behavior, discipline, achievement and punctuality amongst students. Managing students by giving feedback and guidance in order to aid them by strengthening skills as well as knowledge base.


    Bioinformatics is my main area of interest. Furthermore, I am very interested in data science, machine learning, deep learning and public health.


  1. M.Sc. in Statistics, CGPA: 4.00, 1st Position, 2019

    University of Rajshahi

  2. B.Sc. in Statistics, CGPA: 3.98, 1st Position, 2018

    University of Rajshahi

  3. HSC, 2014

    Ahmed Uddin Shah Shishu Nikaton School & College, Gaibandha

  4. SSC, 2012

    Kachua Hat High School


  1. Lecturer
    Hajee Mohammad Danesh Science and Technology University, Dinajpur

    February 13, 2023 to Present

  2. Post Graduate Fellow-2
    Bangladesh Reference Institute for Chemical Measurements (BRiCM)

    November 16, 2021 to February 12, 2023


Journal Papers

  1. Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer

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  2. Factors affecting non-adherence to the public recommendation of mask use in Bangladesh: a nationwide survey

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  3. Bioinformatics screening of colorectal-cancer causing molecular signatures through gene expression profiles to discover therapeutic targets and candidate agents

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  4. Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing

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  5. Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug repurposing

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  6. A Comprehensive Comparative Review of Protein Sequence-Based Computational Prediction Models of Lysine Succinylation Sites

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  7. Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier

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  8. Robust identification of common genomic biomarkers from multiple gene expression profiles for the prognosis, diagnosis, and therapies of pancreatic cancer

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  9. Exploring Core Genes by Comparative Transcriptomics Analysis for Early Diagnosis, Prognosis, and Therapies of Colorectal Cancer

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  10. Study of thyroid function among COVID-19-affected and non-affected people during pre and post-vaccination

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  11. Forecasting SARS-CoV-2 Infections for SAARC Countries

  12. Meta-Data Analysis to Explore the Hub of the Hub-Genes That Influence SARS-CoV-2 Infections Highlighting Their Pathogenetic Processes and Drugs Repurposing

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  14. Parents’ Perceived Stress of Underprivileged Working and Non-Working Children of Special School: A Statistical Analysis

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  1. Agrani Bank Bangabandhu Gold Medal 2023

    Funded by: University of Rajshahi

  2. Dean's Award 2018

    Funded by: Faculty of Science, University of Rajshahi

  3. Khandkar Manwar Hossain Memorial Award

    Funded by: Department of Statistics, University of Rajshahi

  4. SAKURA SCIENCE Exchange Program

    Funded by: Japan Science and Technology Agency & Kyushu Institute of Technology, Japan


  1. Statistical analysis to discovery of microbial genes from l6s rRNA sequence profiles that stimulate type-2 diabetes, highlighting their functions, pathways and candidate drug molecules

    Funded by: Institute of Research and Training (IRT)

    Position: Co-Pl

    Description: This project is basically on metagenomics. We will try to identify the bacteria key genes co-infected with the host genes and stimulate the prevalence of type-2 diabetes in the human body. And then based on our identified bacterial key genes we identified possible drug molecules to control these types of bacteria.


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