Workshop – Mathematical Frontiers in Interdisciplinary Science Forum 2026 – ICCMM 2026

ICCMM 2026 Workshop

Workshop on Mathematical Frontiers in Interdisciplinary Science Forum 2026

Workshop Overview

The Workshop on Mathematical Frontiers in Interdisciplinary Science Forum 2026 provides focused pre-conference learning sessions on mathematical modelling, numerical methods, simulation techniques, optimal control, and nonlinear analytical approaches used in science and engineering.

These workshops are designed to support participants in strengthening their mathematical modelling skills, understanding practical computational approaches, and exploring how advanced mathematical methods can be applied to interdisciplinary research problems.

The sessions will offer opportunities to engage with expert-led content, practical concepts, and research-oriented methods that connect mathematical theory with real-world scientific and technological applications.

Mathematical modelling, simulation, optimization and interdisciplinary science workshop visualization

Workshop Objectives

What Participants Will Explore

Designed to support participants in strengthening mathematical modelling, numerical analysis, simulation, optimal control, and nonlinear problem-solving skills for interdisciplinary scientific applications.

Strengthen mathematical modelling foundations

Understand how mathematical models are formulated, interpreted and applied to represent complex scientific and engineering systems.

Explore numerical methods and simulation

Gain exposure to numerical methods used for differential equations, heat equations and computational modelling workflows.

Understand optimal control applications

Examine how optimal control ideas can support analysis, decision-making and optimization in applied mathematical problems.

Approach nonlinear problems

Engage with analytical and computational techniques for addressing nonlinear problems arising in science and engineering.

Connect theory with computation

Relate mathematical theory to computational implementation, simulation procedures and research-based applications.

Support interdisciplinary research

Develop insight into using mathematical methods across biology, physics, engineering, environmental systems and related domains.

Target Audience

Who Should Attend

Intended for participants interested in mathematical modelling, numerical methods, simulation, optimal control, nonlinear analysis, and interdisciplinary scientific applications.

University academics

Academics involved in mathematics, applied mathematics, computational modelling, engineering, science and related interdisciplinary areas.

Researchers

Researchers working with mathematical models, simulations, nonlinear systems, optimal control, numerical analysis and applied sciences.

Postgraduate students

Students pursuing postgraduate studies in mathematics, statistics, computational science, engineering, physics, biology and related fields.

Undergraduate students

Advanced undergraduate students interested in learning how mathematical and computational techniques are applied to real-world problems.

Science and engineering practitioners

Practitioners who use mathematical modelling, simulation and analytical techniques in scientific, engineering or technological applications.

Mathematics education practitioners

Educators and practitioners interested in connecting advanced mathematical ideas with teaching, research training and applied learning.

Workshop Sessions

Pre-conference Workshops in Modelling and Simulation

Focused workshop sessions designed to introduce practical and research-oriented approaches in mathematical modelling, numerical methods, optimal control, nonlinear analysis, and simulation-based problem solving.

11 Nov 2026

09:00 - 11:00 | Sri Lankan Time (UTC+05:30)

Numerical Methods for Heat Equations and Their Optimal Control Applications

Dr. M. C. S. Fernando Department of Mathematics University of Kelaniya, Sri Lanka View profile

11 Nov 2026

13:30 - 15:30 | Sri Lankan Time (UTC+05:30)

Tackling Nonlinearity in Science and Engineering: An Introduction to the Optimal Homotopy Analysis Method

Dr. M. T. M. Dewasurendra Department of Mathematics University of Peradeniya, Sri Lanka View profile

Further Information Will Be Published Soon

Details about the Workshop on Mathematical Frontiers in Interdisciplinary Science Forum 2026 will be updated on this page.