Department Logo

Home / Computational Biology and Bioinformatics

Computational Biology and Bioinformatics

Discover more about our department, programs, and initiatives.

Research Area

Computational Genomics
Protein Structure Prediction
Drug Discovery
Systems Biology
Personalized Medicine

Overview

This research cell operates at biology and computer science intersection, leveraging computational techniques to advance biological knowledge and healthcare. Members develop algorithms for analyzing genomic sequences, protein structures, and molecular interactions, fostering drug discovery and enabling personalized medicine for research and clinical practice.

Research Members

Profile Picture

Mr. Humayan Kabir Rana

Lecturer

View Profile
Profile Picture

Dr. Umme Ruman

Assistant Professor

View Profile
Profile Picture

Ms. Sharmin Alam

Lecturer

View Profile
Profile Picture

Ms. Feroza Naznin

Lecturer

View Profile
Profile Picture

Mr. Ayan Sarkar

Lecturer

View Profile

Publications

Identification of candidate genes for colorectal cancer using machine learning and bioinformatics approaches

DOI: https://doi.org/DOI: 10.1109/ECCE64574.2025.11013346

Publication Date:

Computational framework for identifying candidate genes in colorectal cancer using TCGA data

DOI: https://doi.org/DOI: 10.1109/ICCIT68739.2025.11491827

Publication Date:

Pathway-Centric Identification of Candidate Genes in Lung Adenocarcinoma Using TCGA Dataset

DOI: https://doi.org/DOI: 10.1109/STI69347.2025.11367596

Publication Date:

High-Fidelity Virtual Try-On Systems for Online Retail Using Computer Vision and Deep Learning

DOI: https://doi.org/DOI: 10.1109/STI69347.2025.11367553

Publication Date:

Identification of Genomic Associations Between Parkinson's and Neurodegenerative Diseases Using Bioinformatics Models

DOI: https://doi.org/DOI: 10.1109/ECCE57851.2023.10101597

Publication Date:

Machine Learning Algorithms for the Prediction of Prostate Cancer

DOI: https://doi.org/DOI: 10.1007/978-981-19-7528-8_37

Publication Date:

Identification of Influential Genes for Colorectal Cancer Using Machine Learning Approaches

DOI: https://doi.org/DOI: 10.1007/978-981-19-7528-8_37

Publication Date:

Identification of Influential Genes for Lung Cancer Using Machine Learning Approaches

DOI: https://doi.org/DOI: 10.1109/STI56238.2022.10103239

Publication Date:

Identification of Influential Genes and Comorbidities of Colorectal Cancer

DOI: https://doi.org/DOI: 10.1109/ICRPSET57982.2022.10188541

Publication Date:

Network-based Approach to Identify Pathways and Macromolecule Interactions that Mediate Influences of COVID-19 on the Progression of Respiratory System Diseases

DOI: https://doi.org/DOI: 10.1109/ICAEEE54957.2022.9836408

Publication Date:

A Bioinformatics Approach to Identify the Influences of Diabetes on the Progression of Cancers

DOI: https://doi.org/DOI: 10.1109/ICAEEE54957.2022.9836409

Publication Date:

Genetic Effects of Covid 19 on the Development of Neurodegenerative Diseases

DOI: https://doi.org/DOI: 10.1109/EICT54103.2021.9733698

Publication Date:

Bioinformatics Approach to Analyze Gene Expression Profile and Comorbidities of Gastric Cancer

DOI: https://doi.org/DOI: 10.1109/ICCIT51783.2020.9392587

Publication Date:

Detection of Lung Cancer from CT Scan Images using GLCM and SVM

DOI: https://doi.org/DOI: 10.1109/ICASERT.2019.8934454

Publication Date:

Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of covid-19 detection

https://www.sciencedirect.com/science/article/pii/S2666651025000038

DOI: https://doi.org/DOI: 10.1016/j.aiopen.2025.01.003

Publication Date:

Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset

https://academic.oup.com/bib/article/26/1/bbae628/7916277

DOI: https://doi.org/DOI: 10.1093/bib/bbae628

Publication Date:

SMILES2DTA: a CNN-based approach for identifying drug candidates and predicting drug-target binding affinity

https://link.springer.com/article/10.1007/s00521-024-10814-x#citeas

DOI: https://doi.org/DOI: 10.1007/s00521-024-10814-x

Publication Date:

Bioinformatics and systems biology approaches to identify molecular targets and pathways shared between schizophrenia and bipolar disorder

DOI: https://doi.org/DOI: 10.1016/j.imu.2024.101556

Publication Date:

Interplay of machine learning and bioinformatics approaches to identify genetic biomarkers that affect survival of patients with glioblastoma

DOI: https://doi.org/DOI: 10.1016/j.imu.2024.101505

Publication Date:

Bioinformatics approach to identify the impacts of microgravity on the development of bone and joint diseases

DOI: https://doi.org/DOI: 10.1016/j.imu.2023.101211

Publication Date:

Identification of Comorbidities, Genomic Associations, and Molecular Mechanisms for COVID-19 Using Bioinformatics Approaches

DOI: https://doi.org/DOI: 10.1155/2023/6996307

Publication Date:

Bioinformatics and System Biology Techniques to Determine Biomolecular Signatures and Pathways of Prion Disorder

DOI: https://doi.org/DOI: 10.1177/11779322221145373

Publication Date:

Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease

DOI: https://doi.org/DOI: 10.1155/2022/9034996

Publication Date:

Pathogenetic profiling of COVID-19 and SARS-like viruses

DOI: https://doi.org/DOI: 10.1093/bib/bbaa173

Publication Date:

Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression

DOI: https://doi.org/DOI: 10.1093/bib/bbaa365

Publication Date:

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases

DOI: https://doi.org/DOI: 10.1016/j.compbiomed.2021.104859

Publication Date:

Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression

DOI: https://doi.org/DOI: 10.1038/s41598-020-57916-9

Publication Date:

A system biological approach to investigate the genetic profiling and comorbidities of type 2 diabetes

DOI: https://doi.org/DOI: 10.1016/j.genrep.2020.100830

Publication Date:

Genome-Wide Integrative Analysis Reveals Common Molecular Signatures in Blood and Brain of Alzheimer’s Disease

DOI: https://doi.org/DOI: 10.33263/BRIAC112.86868701

Publication Date:

An Experimental Study of Various Machine Learning Approaches in Heart Disease Prediction

DOI: https://doi.org/DOI: 10.5120/ijca2020920741

Publication Date:

Performance Analysis of Various Machine Learning Approaches in Stroke Prediction

DOI: https://doi.org/DOI: 10.5120/ijca2020920740

Publication Date:

Iris recognition using convolutional neural network

DOI: https://doi.org/DOI=10.5120/ijca2020920602

Publication Date:

A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue

DOI: https://doi.org/DOI: 10.1016/j.compbiomed.2019.103385

Publication Date:

Genetic effects of welding fumes on the development of respiratory system diseases

DOI: https://doi.org/DOI: 10.1016/j.compbiomed.2019.04.004

Publication Date:

Genetic effects of welding fumes on the progression of neurodegenerative diseases

DOI: https://doi.org/DOI: 10.1016/j.neuro.2018.12.002

Publication Date:

A fast iris recognition system through optimum feature extraction

DOI: https://doi.org/DOI: 10.7717/peerj-cs.184

Publication Date:

Weighted Multi-band Summary Correlogram (MBSC)-based Pitch Estimation and Voice Activity Detection for Noisy Speech

DOI:

Publication Date:

Performance Evaluation of Various DNA Pattern Matching Algorithms Using Different Genome Datasets

DOI: https://doi.org/DOI: 10.5281/zenodo.2580651

Publication Date:

Lung Cancer Detection Using Marker Controlled Watershed with SVM

DOI: https://doi.org/DOI: 10.3329/gubjse.v5i1.47897

Publication Date:

Iris Recognition System Using PCA Based on DWT

DOI: https://doi.org/DOI: 10.36876/smjbb.1015

Publication Date:

Performance evaluation of various data mining classification techniques that correctly classify banking transaction as fraudulent

DOI:

Publication Date:

Improved Transfer Learning Architecture to Classify Covid-19 Affected Chest X-Rays Using Noisy Student Pre-training.

DOI:

Publication Date:

Detect Bangladeshi Mango Leaf Diseases Using Lightweight Convolutional Neural Network

DOI: https://doi.org/10.1109/ECCE57851.2023.10101648

Publication Date:

Visual Identification of Domestic Animals Using Deep Convolution Neural Network

DOI:

Publication Date:

Enhancing Visibility for Autonomous Vehicle Object Detection in Dust or Sandstorm Conditions Using Dark Channel Prior and YOLOv9

DOI: https://doi.org/10.1109/STI64222.2024.10951081

Publication Date:

MLBlock: Harnessing Machine Learning, Blockchain, and XAI for Smarter Land Valuation

DOI: https://doi.org/10.1109/ICCIT64611.2024.11022180

Publication Date:

Improving Real-Time Object Tracking Through Adaptive Feature Fusion and Resampling in Particle Filters.

DOI: https://doi.org/https://doi.org/10.1007/978-3-031-62110-9_12

Publication Date:

Weather-Driven Machine Learning Decision Support for Rice Cultivation Suitability in Bangladesh

DOI: https://doi.org/https://doi.org/10.1007/978-3-031-62110-9_12

Publication Date:

An Intelligent Video Surveillance System with Temporal-Enhanced YOLOv8 for Real-Time Fire, Accident, and License Plate Detection in Public Safety Monitoring

DOI:

Publication Date:

IoT and deep Learning-Based smart healthcare with an integrated security system to detect various skin lesions

CRC Press

DOI:

Publication Date:

Find Us

Follow Us

Departments

Centers

Offices

Useful Links

Get In Touch

© 2003-2026 Green University of Bangladesh. All Rights Reserved.

Developed by GCITS