MDPI International Day of Mathematics Webinar 2026 | Session 2
Meet Our Speakers
Prof. Dr. Jong-Min Kim
University of Minnesota-Morris, USA, Tecnológico de Monterrey, Mexico;
Dr. Jong-Min Kim (Born in South Korea) is Professor of Statistics at University of Minnesota-Morris, USA. He received his PhD (Statistics) in 2002 from the Department of Statistics, Oklahoma State University, USA (Minor: Mathematics). He worked as Research Fellow at SAMSI -The Statistical and Applied Mathematical Sciences Institute (NSF, Duke, NCSU and UNC). He received the Morris Faculty Distinguished Research Award. He also joined University of Minnesota Data Science Initiative Core Member in May 2024 and joined EGADE Business School Tecnologico de Monterrey as Adjunct Professor of Finance in June 2025.
He is in the American Statistical Association—Outstanding Statistical Application Award Committee (2026- 2027), General Director (2023-2024) and Board Member (2023-2028) of Korean International Statistical Society, Council of Chapter Representatives (2021-2025) American Statistical Association-Twin Cities Chapter, and Statistics Discipline Coordinator, University of Minnesota at Morris. He is Elected Member of the International Statistical Institute (ISI), October 2005.
Prof. Dr. Yingjie Liu
Georgia Institute of Technology, USA;
Yingjie Liu earned his Bachelor's and Master's degrees in Computational Mathematics from Peking University in 1987 and 1990, respectively, and obtained his Ph.D. in Applied Mathematics from the University of Chicago in 1999. He was a postdoctoral researcher in the Department of Applied Mathematics and Statistics at SUNY Stony Brook from 1999 to 2002. Since 2002, he has served as a professor—progressing from assistant to associate to full—in the School of Mathematics at the Georgia Institute of Technology.
His research focuses on the development and analysis of numerical methods for solving differential equations, particularly partial differential equations. He has developed or co-developed several innovative numerical methods, some of which are widely used in both industry and academia. These methods include: (1) the Back-and-Forth Error Compensation and Correction (BFECC) method for convection and hyperbolic systems; (2) central schemes and central discontinuous Galerkin methods on overlapping cells; (3) Hierarchical Reconstruction (HR) limiting methods for eliminating spurious numerical oscillations while preserving the order of approximation; and (4) Neural Networks with Local Converging Inputs (NNLCI), a general approach for solving PDEs with orders-of-magnitude complexity reduction and minimal training data requirements.
Prof. Dr. George Anastassiou
University Of Memphis, USA;
George A. Anastassiou was born in Athens, Greece in 1952. He received his B.SC degree in Mathematics from Athens University, Greece in 1975. He received his Diploma in Operations Research from Southampton University, UK in 1976. He also received his MA in Mathematics from University of Rochester, USA in 1981. He was awarded his Ph. D in Mathematics from University of Rochester, USA in 1984.
During 1984-86 he served as a visiting assistant professor at the University of Rhode Island, USA. Since 1986 till 2024, he had been a faculty member at the University of Memphis, USA. He had been a full Professor of Mathematics since 1994. Since August 2024 is a Professor Emeritus.
His research area is “Computational Analysis” in the very broad sense. He has published over 750 research articles in international mathematical journals and over 58-monographs, proceedings and textbooks in well-known publishing houses.
Several awards have been awarded to George Anastassiou. In 2007 he received the Honorary Doctoral Degree from University of Oradea, Romania. He is associate editor in over 93 international mathematical journals and had been editor in-chief in 3 journals, most notably in the well-known “Journal of Computational Analysis and Applications”.
Sponsors and Partners
Organizer
To celebrate International Day of Mathematics 2026, MDPI is hosting a special webinar series that brings researchers together to foster collaboration and highlight the essential role that mathematics plays in advancing knowledge across disciplines. From theoretical foundations to applied innovations, this campaign underscores how the exchange of ideas strengthens our collective understanding and drives meaningful real-world impact. Mathematics is not confined to equations on paper; it shapes technology, informs policy, and fuels discovery in every field it touches.
We very much look forward to welcoming you to the International Day of Mathematics Webinar 2026. Through expert-led sessions and dynamic discussions, this event offers a platform to connect with peers, gain new perspectives, and celebrate the global mathematics community. Please find the latest webinar details and programme outline below and join us in marking this important occasion.
Date: 13 March 2026
Time: 3:00 pm CET
Webinar ID: 848 0746 9244
Webinar Secretariat: journal.webinar@mdpi.com
In this section, you will find the recordings of this webinar to watch, re-watch and share with your colleagues!