
This webinar is devoted to applied mathematical modeling, covering the full research journey, from problem formulation to academic paper publication.
In recent years, applied mathematical modeling has gained growing importance across science and engineering disciplines. It provides systematic frameworks to translate real‑world physical and engineering problems into mathematical descriptions, solve them via analytical and numerical techniques, and produce publishable high‑quality research outcomes. Key tools involved include differential methods, symmetry analysis, advanced numerical schemes, and artificial intelligence‑assisted algorithms, which are widely used in fluid dynamics, porous media flow, heat transfer, and other practical fields.
It has become increasingly evident that applied mathematical modeling serves as a vital bridge between pure mathematics and real‑world applications. Mastering the complete research pipeline—from constructing mathematical models, selecting suitable solution methods, conducting rigorous analysis, to writing and publishing academic papers—is essential for early‑career researchers and applied mathematicians.
Our aim is for this webinar to be valuable to researchers, mathematicians, and applied scientists interested in mathematical modeling techniques, advanced solution approaches, and the practical workflow of academic publication. We are honored to host distinguished speakers who will share their latest research on high‑order differentiation methods, Lie symmetry analysis combined with machine learning algorithms for non‑Newtonian flow problems, and further upcoming modeling topics.
We look forward to insightful presentations and productive academic exchanges.
Date: 11 June 2026
Time: 9:00am – 11:00am (CEST) | 10:00am – 12:00pm (IDT) | 3:00pm – 5:00pm (CST) | 4:00pm – 6:00pm (JST)
Webinar ID: 820 8659 3004
Webinar Secretariat: journal.webinar@mdpi.com


Edited by Takayuki Hibi
Deadline for manuscript submission: 30 November 2026
Submit to AppliedMath