Hybrid Conferencee

International Conference on Applied Mathematics for Computational Biology and Bioinformatics (ICAMCB - 26)

1st - 2nd October 2026 | Dublin, Ireland

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Conference Notifications:

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Call for Papers Extended:
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Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dublin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dublin, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dublin."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 15
SDG 15 Life on Land
Track 01

Mathematical Modeling in Biological Systems

This track focuses on the development and application of mathematical models to understand complex biological systems. Emphasis will be placed on modeling techniques that elucidate dynamics in cellular processes and population dynamics.

Track 02

Statistical Methods in Bioinformatics

This session will explore advanced statistical techniques used in the analysis of biological data. Topics will include hypothesis testing, regression models, and multivariate analysis in the context of genomics and proteomics.

Track 03

Computational Methods for Genetic Network Analysis

This track addresses computational approaches for modeling and analyzing genetic networks. Participants will discuss algorithms and tools for network reconstruction, inference, and visualization.

Track 04

Machine Learning Applications in Computational Biology

This session will highlight the integration of machine learning techniques in solving biological problems. Case studies will demonstrate the application of algorithms for predictive modeling and data classification.

Track 05

Optimization Techniques in Systems Biology

This track will cover optimization methods applied to biological systems, including parameter estimation and model selection. Discussions will include the challenges and solutions in optimizing biological models for better predictive accuracy.

Track 06

Simulation Approaches in Mathematical Biology

This session will focus on simulation techniques used to study biological phenomena. Participants will explore discrete and continuous simulation methods for modeling biological interactions and processes.

Track 07

Data Analytics in Health Applications

This track will examine the role of data analytics in health-related research and applications. Topics will include statistical analysis of health data, predictive modeling, and the impact of big data on healthcare outcomes.

Track 08

Probability Models in Evolutionary Biology

This session will delve into the application of probability theory in understanding evolutionary processes. Discussions will include stochastic models and their implications for genetic drift and natural selection.

Track 09

Structural Biology and Mathematical Techniques

This track will explore the intersection of structural biology and mathematical modeling. Participants will discuss the use of mathematical approaches to analyze molecular structures and dynamics.

Track 10

Sequence Analysis and Computational Algorithms

This session will focus on computational algorithms for sequence analysis in bioinformatics. Topics will include alignment techniques, motif discovery, and the computational challenges associated with large-scale genomic data.

Track 11

Research Applications of Applied Mathematics in Biology

This track will showcase innovative research applications of applied mathematics in various biological fields. Participants will present case studies that highlight the impact of mathematical approaches on biological research and discovery.