University of Rajshahi, Rajshahi, Bangladesh

University of Rajshahi, Rajshahi, Bangladesh

Ahmed Uddin Shah Shishu Nikaton School & College, Gaibandha, Bangladesh

Kachua Hat High School, Saghata, Gaibandha

February 13, 2023 to Present

November 16, 2021 to February 12, 2023

Prediction of Myopia Among Undergraduate Students Using Ensemble Machine Learning Techniques

Fish Assemblage Diversity of Dharla River, Bangladesh, With Relation to Environmental Variables: A Multivariate Analysis

Subtractive Genomics for Identifying Tuberculosis-Linked Bacterial Targets in Type-2 Diabetes and Drug Repurposing Strategies

Prevalence of Undiagnosed Hypertension in Bangladesh: A Systematic Review and Meta‐Analysis

Identification of bacterial key genera associated with breast cancer using machine learning techniques

Fish Assemblage Diversity of Dharla River, Bangladesh, With Relation to Environmental Variables: A Multivariate Analysis

Optimizing hypertension prediction using ensemble learning approaches

Exploring bacterial key genes and therapeutic agents for breast cancer among the Ghanaian female population: Insights from In Silico analyses

Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer

Exploring the impact of smoking on mental health: A cross-sectional analysis in a district-level university in Bangladesh

Day Level Forecasting for COVID-19 Pandemic Spread in SAARC Countries

A study on the effects of different factors on Academic achievement among university students in Dinajpur District, Bangladesh: A Statistical Study

Discovery of Bacterial Key Genes from 16S rRNA-Seq Profiles That Are Associated with the Complications of SARS-CoV-2 Infections and Provide Therapeutic Indications

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

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

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

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

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

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

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

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

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

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

Forecasting SARS-CoV-2 Infections for SAARC Countries

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

MENTAL HEALTH PROBLEMS OF GRADUATE STUDENTS IN THE COVID-19 PANDEMIC IN BANGLADESH

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

Funded by: University of Rajshahi, Rajshahi, Bangladesh

Funded by: Faculty of Science, University of Rajshahi, Rajshahi

Funded by: Department of Statistics, University of Rajshahi

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

Funded by: R&D Project, Funded By Ministry of Science and Technology, Bangladesh

Position: Project Investigator (PI)

Description: Obesity and type-2 diabetes (T2D) are interrelated global health challenges that significantly impact morbidity and mortality rates. These conditions often coexist, with obesity being a major risk factor for the development of T2D. Recent advances in microbiome research have revealed that the gut microbiota plays a crucial role in the pathogenesis of both obesity and T2D. The gut microbiome, which is the community of microorganisms residing in the human digestive tract, influences various metabolic processes and can affect host health and disease states. There is growing evidence that specific bacterial genes and their functions are associated with metabolic diseases .

Funded by: IRT, HSTU

Position: Co-PI

Description: This project aims to identify and analyze bacterial genes shared between hypertensive patients with type-2 diabetes (T2D). By utilizing advanced genomic sequencing and bioinformatics tools, we seek to uncover microbial markers that can be used for diagnosis and targeted therapies. The functional analysis of these bacterial genes will provide insights into their role in the pathophysiology of these interconnected conditions, potentially leading to innovative treatment strategies. The main objectives of this study are to identify the shared bacterial key genes (bKGs) among the hypertensive and T2D patients and then explore the drug molecules to control these identified bKGs.

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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URL: https://rkict.academia.edu/kaderikibria