AppliedMath Webinar | Applied Mathematical Modeling: From Problem Formulation to Paper Publication
AppliedMath Webinar | Applied Mathematical Modeling: From Problem Formulation to Paper Publication
11 June 2026
Computational Mathematics, Control Theory, Data Analysis, Statistical Methods, Integrated Mathematical Applications, Mathematical Modeling, Numerical Methods, Optimization Techniques
Welcome from the Chair
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
Registration
This is a FREE webinar. The number of participants to the live session is limited but the recording will be made available on Sciforum shortly afterwards. Registrations with academic institutional email addresses will be prioritized.
Certificates of attendance will be delivered to those who attend the live webinar.
Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.
Event Chairs
Webinar Opening and Relevant Special Issue Introduction
Prof. Dr. Takayuki Hibi graduated with a Ph.D. from the School of Science at Nagoya University in 1987. He then visited the Massachusetts Institute of Technology from August 1988 to July 1989. He worked at the School of Science of Hokkaido University from September 1990 to March 1995 and visited the University of Sydney from July 1993 to November 1993. In April 1995, he became a full professor at Osaka University and has remained there ever since. His research started with the study of algebraic combinatorics on convex polytopes and then turned to Gröbner bases, algebraic statistics, and computational commutative algebra. He organized the JST (Japan Science and Technology Agency) research project entitled “Harmony of Gröbner Bases and the Modern Industrial Society” from October 2008 to March 2014. He has published more than 200 peer-reviewed original articles and jointly wrote the textbook “Monomial Ideals” (Graduate Texts in Mathematics 260, Springer).
Keynote Speakers
Higher Order Methods in Differentiation by Integration
Dr. rer. nat. Andrej Liptaj, PhD, graduated from the Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia, in 2003 (Mgr.). He did his doctoral studies in experimental physics as a member of the DESY group of the Max Planck Institute for Physics at the H1 experiment in Hamburg and received the Dr. rer. nat. degree from the University of Hamburg, Germany, in 2008. He got a PhD degree in theoretical physics in 2010 from the Faculty of Mathematics, Physics and Informatics of Comenius University in Bratislava. By education, a physicist, he is also interested in numerical mathematics and approximations, and has several publications from this domain.
Lie Symmetry and Spectral Relaxation Approach With ANN-LM Algorithm To Study Non-Newtonian Mixed Convection Flows Through a Porous Medium
Prof. Dr. M. M. Bhatti is a distinguished applied mathematician and researcher with expertise in computational fluid mechanics, electromagnetohydrodynamics, heat and mass transfer, solitary waves, and nanofluids. He currently serves as an Associate Professor at Shandong University of Science and Technology, China, and also holds Extra-ordinary Professor at North-West University, South Africa. He has established a strong global research profile through an extensive publication record, high citation impact, and broad international collaborations. His scholarly contributions have been widely recognized, including his inclusion in the Elsevier China Highly Cited Scholars Mathematics List (2020–2024), recognition as a Highly Cited Researcher by Clarivate Analytics in 2021, and listing among the world’s top 2% scientists based on the Stanford University study (2020–2025). Earlier in his academic journey, he also received an Outstanding Paper Award at the 2nd Conference of Chinese Global Scholars in Hydrodynamics in 2016. He also serves on the editorial boards of several international journals.
Turnpike Properties in Metric Spaces
Alexander Zaslavski is an Israeli mathematician who works as a senior researcher at the Technion – Israel Institute of Technology. His research areas include nonlinear analysis, calculus of variations, numerical optimization, and mathematical economics. He has authored 30 research monographs and 660 papers and served as co‑editor of 86 edited volumes and journal special issues. Additionally, he is Co-editor‑in‑Chief of Pure and Applied Functional Analysis, Communications in Optimization Theory, and Fixed Point Methods and Optimization.
Program
| Speaker/Presentation | Time (CEST) |
| Prof. Dr. Takayuki Hibi Webinar Opening and Relevant Special Issue Introduction |
9:00 am - 9:10 am |
| Dr. Andrej Liptaj Higher Order Methods in Differentiation by Integration |
9:10 am - 9:40 am |
| Prof. Dr. M. M. Bhatti Lie Symmetry and Spectral Relaxation Approach With ANN-LM Algorithm To Study Non-Newtonian Mixed Convection Flows Through a Porous Medium |
9:40 am - 10:10 am |
| Dr. Alexander Zaslavski Turnpike Properties in Metric Spaces |
10:10 am - 10:40 am |
| Q&A | 10:40 am - 10:55 am |
| Prof. Dr. Takayuki Hibi Closing of Webinar |
10:55 am - 11:00 am |
Relevant Special Issue
Edited by Takayuki Hibi
Deadline for manuscript submission: 30 November 2026
Submit to AppliedMath
Sponsors and Partners
Organizers
