International Conference on Mathematical Modeling in Health and Life Sciences
(ICMMHLS-26)

21st November 2026 || Coimbatore - India || Hybrid Mode

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Conference Session Tracks

The International Conference on Mathematical Modeling in Health and Life Sciences (ICMMHLS), scheduled to be held on 21st November 2026 in Coimbatore, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Applied Mathematics.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Mathematical Modeling in Epidemiology
    This track focuses on the development and application of mathematical models to understand the dynamics of infectious diseases. Emphasis will be placed on simulation techniques and their role in predicting disease spread and control strategies. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 02 – Statistical Methods in Health Sciences
    This session will explore advanced statistical techniques used in health research, including biostatistics and quantitative methods. Participants will discuss the integration of these methods in clinical trials and public health studies. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 03 – Computational Biology and Bioinformatics
    This track aims to highlight the application of mathematical and statistical methods in the analysis of biological data. Topics will include algorithms for genomic data analysis and modeling biological systems. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Machine Learning Applications in Life Sciences
    This session will cover the use of machine learning techniques to solve complex problems in life sciences. Participants will share insights on predictive analytics and risk analysis in health-related research. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 05 – Optimization Techniques in Health Care
    This track will focus on optimization methods applied to improve health care delivery and resource allocation. Discussions will include case studies and models that enhance decision-making processes in health systems. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 06 – Probability Models in Health Research
    This session will delve into the use of probability theory in modeling health-related phenomena. Participants will explore various probabilistic models and their implications for understanding health risks and outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 07 – Simulation Techniques in Health Sciences
    This track will examine the role of simulation in health sciences, focusing on its application in modeling complex systems and processes. Participants will discuss various simulation methodologies and their effectiveness in health research. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 08 – Statistical Modeling in Epidemiology
    This session will address the development and application of statistical models to analyze epidemiological data. Emphasis will be placed on the interpretation of model results and their implications for public health policy. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 09 – Data Science Innovations in Health Care
    This track will explore the intersection of data science and health care, highlighting innovative approaches to data analysis and interpretation. Participants will discuss the impact of big data on health outcomes and decision-making. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 10 – Artificial Intelligence in Health and Life Sciences
    This session will focus on the integration of artificial intelligence techniques in health and life sciences research. Topics will include the development of AI models for diagnostics, treatment planning, and patient management. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
  • Track 11 – Forecasting Health Trends Using Mathematical Models
    This track will explore the use of mathematical models for forecasting health trends and outcomes. Participants will discuss methodologies for predicting future health scenarios and their implications for health policy and planning. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being  |  SDG 3 – Good Health and Well-being
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228