Dr. Mohammad Monir Uddin | Applied Mathematics | Editorial Board Member

Dr. Mohammad Monir Uddin | Applied Mathematics | Editorial Board Member

North South University | Bangladesh

Dr. Mohammad Monir Uddin is a researcher in computational mathematics specializing in model order reduction, control theory, numerical linear algebra, and scientific computing, with additional focus on artificial intelligence and deep learning. His work spans the development of efficient algorithms for large-scale sparse descriptor systems, dynamical systems, and optimal control problems. He has contributed to multiple international research groups in Germany and Sweden and has led a range of funded projects in areas such as aircraft wing shape optimization, structure-preserving model reduction, piezo-mechanical systems, and large-scale dynamical system approximation. His research experience includes developing advanced iterative methods, projection techniques, and structure-preserving computational frameworks, while his supervisory work covers model reduction of complex dynamical, biological, and engineering systems. He has delivered numerous talks and poster presentations at international conferences, sharing contributions that advance reduced-order modeling, Krylov subspace methods, and computational techniques for constrained dynamical models, while also teaching and guiding research in applied mathematics and electroweak interaction topics.

Profile: Scopus | Orcid | Google Scholar  

Featured Publications

Hossen, N. S., Shahen, M., Al Amin, M., Uddin, M. M., Foyjonnesa, & Rahman, M. M. (2025). Wave modelling of 3+1 dimensional Wazwaz–Kaur–Boussinesq equation with the bilinear neural network method. Scientific Reports, 15(1), 33528.

Hossain, M. S., Khan, E. H., Uddin, M. M., & Omar, S. G. (2025). Structure-preserving model reduction approach for structured index-2 descriptor systems. Numerical Linear Algebra with Applications.

Uddin, M., Uddin, M. M., & Khan, M. A. H. (2025). SVD-Krylov–based structure-preserving techniques for approximation of a class of second-order index-1 descriptor systems. Journal of Applied Mathematics, 2025(1), 5976163.

Saiduzzaman, M., Islam, M. S., Hossain, M. S., Uddin, M. M., & Gani, M. O. (2024). Balanced truncation model reduction for laser heating wafer model in frequency restricted domain. Franklin Open, 9, 100191.

Hossain, M. T., Iqbal, K. I. B., Haque, A., Uddin, M. M., & Hossain, M. S. (2024). Efficient aerodynamic design using BézierGAN and model order reduction: A computational study. Results in Engineering, 23, 102571.

Prof. Haiyan Leng | Hydrogen Storage Materials | Best Researcher Award

Prof. Haiyan Leng | Hydrogen Storage Materials | Best Researcher Award

Shanghai University | China

Prof. Haiyan Leng, a professor and doctoral supervisor at Shanghai University, specializes in lightweight hydrogen storage materials and high-capacity hydrogen storage device design. She has led and participated in multiple national and enterprise-funded projects, published over 70 SCI papers in top journals, and holds more than ten domestic and international patents. Her recent highly cited work in the Journal of Rare Earths investigates the influence of La and Ce rare earth doping on the hydrogen absorption properties of Zr7V5Fe alloy. The study revealed that rare earth doping enhances activation with shorter incubation periods and improves the transition of Zr and V from oxidized to metallic states during heating, leading to better hydrogen absorption performance. X-ray diffraction showed reduced cell volume of ZrV2 and α-Zr phases, raising plateau pressure, while kinetic analysis indicated coarser α-Zr phases and larger particle sizes, slightly reducing hydrogen absorption kinetics. Overall, the research provides valuable technical guidance for optimizing zirconium-based alloys for hydrogen storage applications.

Profile:  Scopus 

Featured Publications

"Influence of rare earth doping on hydrogen absorption properties of Zr7V5Fe alloy"

"Multivalent Ti/Nb catalysts with oxygen vacancies: Bridging electron transfer pathways to enhance MgH2 hydrogen desorption property"

"Effect of La doping on tritium storage properties of Ti-based alloys"

"The relationship between thermal management methods and hydrogen storage performance of the metal hydride tank"

"Performance improvement of magnesium-based hydrogen storage tanks by using carbon nanotubes addition and finned heat exchanger: Numerical simulation and experimental verification"