Prof. Dr. Rodolfo Ariel Perez | Experimental Methods | Best Research Article Award

Prof. Dr. Rodolfo Ariel Perez | Experimental Methods | Best Research Article Award

National Atomic Energy Commission | Argentina

Prof. Dr. Rodolfo Ariel Perez is a researcher at CNEA and an Independent Researcher within CONICET, as well as an Adjunct Professor at UNSAM. He works at the Centro Atómico Constituyentes in the Materials Division, specializing in diffusion processes and materials science. He holds degrees in Physics and has completed advanced postgraduate training in metallurgy, materials technology, thin film techniques, ceramics, and diffusion studies across several international institutions in Europe, Asia, and South America. He has supervised numerous undergraduate, master’s, and doctoral theses in the field of materials science, particularly diffusion phenomena in metals, alloys, and nuclear-related materials. His academic activity includes more than sixty conference presentations in major scientific events. He has also served as a jury member for theses, participated in academic committees, and contributed to scientific advisory boards. He is proficient in English, Portuguese, and French, and his experimental expertise includes techniques such as Laser Induced Breakdown Spectroscopy.

Featured Publications

Perez, R. A., & Gomez Sanchez, Y. P. (2025). How to address self-absorption in LIBS using millisecond time-width detectors. Spectrochimica Acta Part B: Atomic Spectroscopy.

Gaviola, P. A., Sallese, M., Suarez Anzorena, M., Ararat Ibarguen, C. E., Bertolo, A. A., Iribarren, M., Perez, R., Morel, E., Torga, J., Kreiner, A. J., & del Grosso, M. F. (2021). Development of a simple method based on LIBS for evaluation of neutron production targets made of hydrogen isotopes. Measurement: Journal of the International Measurement Confederation.

Ararat-Ibarguen, C. E., Lucia, A., Corvalan, C., Di Lalla, N., Iribarren, M. J., Rinaldi, C. A., & Pérez, R. (2020). Laser induced breakdown spectroscopy application to reaction-diffusion studies in nuclear materials. Spectrochimica Acta Part B: Atomic Spectroscopy.

Perez, R. A., Ararat-Ibarguen, C., & Iribarren, M. (2020). H diffusion in excel measured by LIBS. Journal of Nuclear Materials.

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.