Organizers: Dr. Hasibun Naher , Associate Professor of Mathematics Department of Mathematics and Natural Sciences BRAC University, Kha 224 Pragati Sarani, Merul Badda, Dhaka 1212, Bangladesh, https://www.bracu.ac.bd/about/people/hasibun-naher-phd, ttps://www.asiaresearchnews.com/content/hasibun-naher
Md Kamrul Hossain, PhD, Associate Professor, Department of Computer Science and Engineering Daffodil International University Daffodil Smart City, Birulia, Dhaka -1216, Bangladesh
Emails: hasibun06tasauf@gmail.com; hasi@bracu.ac.bd, kamrul.ged@diu.edu.bd
The symposium is devoted to gather students, academicians, researchers, industry experts, policy makers and professionals all over the world to carry on further research and highlight recent advances in the fields of mathematics that use Nonlinear Differential Equations, Fractional Differential Equations, Mathematical Statistics and Mathematical Modeling.
The main aim of this symposium is to cover multidisciplinary aspects in Science, Technology, Engineering, Statistics and Mathematics (STESM).
The main areas of this symposium are as:
● Ordinary Differential Equations (ODEs)
● Partial Differential Equations (PDEs)
● Fractional Differential Equations (FDEs)
● Storm surges
● Mathematical Statistics
● Climate
● Carbon Emission
● Energy
● Mathematical Modeling
● Machine Learning
But the topics are not limited to the mentioned above.
The session inspires early, mid and established researchers and scientists. Authors are invited to submit original unpublished works, which are not under review in any other conferences or journals for publication and presentation of the above topics of this symposium.
Submission of Extended Abstract: 20 May 2026 and use the below links for deadlines and relevant information:
https://icnaam.org/dates-of-importance/
https://icnaam.org/papers/#preparation
https://icnaam.org/registration/
https://icnaam.org/
ICNAAM 2026 Conference Proceedings:
The proceedings of ICNAAM 2026 will be published by Springer in the book series Springer Proceedings in Mathematics and Statistics (SPMS).