In this webinar, we will show how universities and research institutions can extend academic work beyond traditional publications by using MATLAB-based tools to create interactive, web-enabled applications.

Over 2200 universities worldwide rely on a Campus-Wide License to provide seamless access to MathWorks® products for teaching, learning, and research—on any device, anywhere. This webinar will demonstrate how this ecosystem supports modern education workflows, low-code development, and interactive research dissemination.

A special focus will be placed on MATLAB Web App technologies and how they allow researchers to turn complex scientific models into accessible, browser-based applications. As a real-world example, our guest speaker Tamás Bódai PhD (Hungarian University of Agriculture and Life Sciences) will present his climate research published in npj Climate and Atmospheric Science (Nature Portfolio) and show how it is extended with a MATLAB Web App for interactive forecasting of ENSO and global temperature patterns.

Why attend?

This webinar offers a practical overview of how MATLAB tools can enhance both teaching and research in academia. Participants will see how interactive applications can be built from scientific models, how assessment and learning can be streamlined, and how research outputs can be extended into reproducible, web-based demonstrations. A live example from climate science will illustrate how these capabilities are applied in real academic work.

Agenda

Dr. Ákos Koppány Kiss (Application Engineer at SciEngineer):

• MATLAB Online training courses and academic ecosystem
• Mobile and browser-based learning platforms
• Low-code development tools in education and research
• Collaboration opportunities between academia and SciEngineer

Dr. Tamás Bódai (Hungarian University of Agriculture and Life Sciences):

• Introduction to the El Niño–Southern Oscillation (ENSO) phenomenon
• Importance of skillful climate forecasting
• MATLAB-based forecasting methodology and tools
• Live demonstration of a MATLAB Web App for ENSO and global mean temperature prediction

Who should attend?

This webinar is intended for academic professionals involved in teaching and research, including university lecturers, professors, researchers, and PhD students working in science, engineering, and data-driven disciplines.

Featured products

All products mentioned in this webinar are developed by MathWorks.

• MATLAB
• MATLAB Web App Server
• MATLAB Campus-Wide Access