CALL FOR PAPERS

Special Session on

 Big Data Analytics and Computational Intelligence in Bioinformatics

Under the International Conference on Mathematical Sciences and Computational Intelligence  (ICMSCI-2026)

February 20–22, 2026

The Department of Mathematics, P.G.D.A.V. College, University of Delhi, in collaboration with Faculty of Mathematical Sciences, University of Delhi, IIT Mandi and NIT Uttarakhand, cordially invites researchers, academicians, scientists, industry experts, and research scholars to submit their original and unpublished research papers for a Special Session on " Big Data Analytics and Computational Intelligence in Bioinformatics" under the International Conference on Mathematical Sciences and Computational Intelligence (ICMSCI-2026).

The integration of Big Data Analytics and Computational Intelligence in the field of Bioinformatics is the topic of discussion during this special session. The purpose of this research initiative is to investigate cutting-edge approaches for the analysis of large-scale biological data, such as genomic, gene expression, and proteomic datasets. To improve disease prediction, personalised medicine, drug discovery, and biomarker identification, the topics that will be covered include machine learning, deep learning, and statistical modelling techniques. The purpose of this session is to highlight the importance that computational tools play in the processing of complicated biological data, the enhancement of our understanding of biological systems, and the drive of advances in healthcare and biotechnology.

The special session on "Big Data Analytics and Computational Intelligence in Bioinformatics" aligns with the core themes of ICMSCI-2026 by bridging the fields of mathematical sciences, computational intelligence, and biological data analysis. It emphasizes the application of advanced computational techniques, such as machine learning and statistical modeling, to solve complex problems in bioinformatics. This session explores how mathematical and computational methods can be leveraged to analyze large biological datasets, contributing to advancements in healthcare, disease prediction, and personalized medicine. The integration of big data analytics directly complements the conference's focus on computational intelligence and its real-world applications.

Topics of Interest

• Machine Learning Applications in Genomic Data Analysis

• Deep Learning for Protein Structure Prediction and Drug Discovery

• Statistical Models for Analyzing High-Throughput Biological Data

• Computational Approaches in Systems Biology and Network Analysis

• Big Data Integration for Personalized Medicine and Clinical Decision Support

• Bioinformatics Tools for Biomarker Discovery and Disease Prediction

• Data Mining and Pattern Recognition in Multi-Omics Datasets

• Computational Intelligence in Gene Expression Analysis

• Predictive Modeling for Drug Repurposing and Target Identification

• Ethical Considerations and Data Privacy in Computational Biology Research

Submission Guidelines

• Manuscript must follow the conference template. All submissions will undergo peer review.

• Maximum length: 9–16 pages including references.

• Accepted papers will be presented and included in the proceedings/special issue (details to follow).

Presentation Mode

Hybrid (Offline + Online). Selected papers will be presented through oral or poster sessions.

Important Dates

• Last date for abstract submission: January 15, 2026  , 👍Extended till: January 31, 2026

• Abstract acceptance notification: January 20, 2026, 👍 Extended till: February 05, 2026

• Last date of Registration: February 10, 2026

• Full-Paper Submission: March 10, 2026

Who Should Submit?

Faculty members, researchers, post-doctoral fellows, PhD scholars, postgraduate students, statisticians, engineers, data scientists, and industry professionals.

Submission Email : Authors must submit their abstracts/papers through the following link:

👉Click Here for Abstract Template

👉 Click Here For Abstract Submission

Kindly visit the registration page to register for the conference.

👉 Click Here to Visit Registration Page