Research


Research area


 

C. elegans Research: Plant-Derived Extracts and Synthetic Compounds at the Laboratory of Applied Research, University of Chittagong 

At the Laboratory of Applied Bioscience, my work focuses on utilizing Caenorhabditis elegans (C. elegans) as a model organism to assess the effects of plant-derived extracts and synthetic compounds. With its genetic simplicity, well-characterized biology, and relevance to higher organisms, C. elegans offers a powerful system for studying therapeutic potential and understanding mechanisms linked to health and disease. 
This research aims to identify and characterize bioactive compounds that may contribute to novel pharmacological applications. By bridging experimental biology with modern analytical approaches, our work strengthens model organism research in Bangladesh and contributes to global scientific efforts in drug discovery and human health. 
Figure: C. clegans

Medical Imaging: Enhancing Diagnosis with AI at The Laboratory of Artificial Intelligence in Health

At The Laboratory of Artificial Intelligence in Health, our research focuses on applying artificial intelligence to diagnostic medical imaging to enhance the accuracy and sensitivity of detecting abnormalities. By enabling advanced detection, segmentation, and classification, AI serves as a powerful tool for healthcare professionals in screenings and precision medicine. Our work aims to streamline clinical workflows, support early disease detection, and develop personalized treatment strategies, ultimately improving patient care and outcomes. Through innovative AI-driven solutions, we strive to transform the future of medical diagnostics and healthcare.
Figure : Medical Imaging

Bioinformatics: Drug Discovery, Vaccine Design, and Pan-Cancer Analysis at BioPC

At BioPC - A Bioinformatics Lab of Research and Training, our research utilizes computational and systems biology approaches to accelerate drug discovery, optimize vaccine design, and perform comprehensive pan-cancer analysis. By integrating multi-omics data, we aim to uncover novel therapeutic targets and biomarkers for complex diseases. In drug discovery, we focus on predicting compound efficacy and safety, while in vaccine design, we employ immunoinformatics to identify effective antigen candidates. Our pan-cancer analysis reveals shared molecular signatures across cancers, deepening our understanding of tumor heterogeneity and guiding precision medicine strategies. Through innovative computational tools and biomedical research, we strive to advance disease prevention, diagnosis, and treatment.
Figure : Our Bioinformatics Research Area

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