Leandro Rubén Andrini

Message from the Guest Editor

Advancing mathematical understanding requires more than mastering formulas and procedures—it calls for thoughtful integration between educational science, cognitive theory, and mathematical modeling. In contemporary education, the dialogue between how mathematics is taught and how it is conceptualized has become increasingly important, especially in an era shaped by digital tools, interdisciplinary learning, and evolving pedagogical strategies.

This Special Issue, “Teaching, Learning & Modeling: Education Science Meets Mathematics,” seeks to explore the dynamic relationship between mathematics education and the scientific study of learning processes. By bringing together research in mathematical theory, modeling practices, instructional design, and educational psychology, we aim to deepen insights into how mathematical knowledge is constructed, communicated, and applied.

We welcome contributions that address innovative teaching methodologies, mathematical modeling in real-world contexts, curriculum development, assessment strategies, cognitive approaches to mathematical thinking, and the integration of technology in mathematics instruction. Studies that demonstrate analytical rigor, conceptual clarity, and practical educational impact are especially encouraged.

Interdisciplinary perspectives connecting mathematics with educational research, data science, computational tools, or applied sciences are highly valued. Through collaborative inquiry, we can strengthen both theoretical foundations and classroom practices, ensuring mathematics education remains responsive, inclusive, and transformative.

We hope this Special Issue will foster meaningful scholarly exchange and contribute to the continued evolution of mathematics education worldwide.

I look forward to receiving your valuable contributions.

Leandro Rubén Andrini
Faculty of Exact Sciences
National University of La Plata (UNLP), Argentina
Guest Editor

Dr. Leandro Rubén Andrini is an Associate Professor of Mathematics at the Faculty of Exact Sciences, National University of La Plata (UNLP), Argentina, and an Associate Researcher at the National Scientific and Technical Research Council (CONICET). He earned his PhD in Exact Sciences (Physics) from UNLP, where his doctoral research focused on transition metal oxides using advanced X-ray absorption spectroscopy techniques.

His academic career integrates mathematics, physics, and chemistry, with a strong emphasis on interdisciplinary research. Dr. Andrini has conducted extensive research in physicochemistry, synchrotron radiation spectroscopy (XANES/EXAFS), nanostructured materials, and computational spectroscopy. His current work at the La Plata Mathematics Center (CMaLP) centers on mathematical modeling of signals and images obtained through synchrotron radiation techniques, particularly within the framework of inverse problems, nonlinear optimization, Fourier transforms, and wavelet-based analysis.

Beyond his research in materials science and spectroscopy, Dr. Andrini maintains a deep and sustained interest in mathematics education and didactics. From an onto-epistemological perspective, he studies how mathematics functions as a modeling language for other scientific disciplines. His pedagogical work explores the role of mathematical models in interdisciplinary contexts, including biology, chemistry, engineering, and applied sciences. He is currently further strengthening this line of inquiry through advanced studies in education in exact and natural sciences.

Dr. Andrini has more than two decades of university teaching experience at undergraduate and postgraduate levels. He has taught courses in Calculus of Several Variables, Complex Analysis, Linear Algebra, Mathematical Analysis, and interdisciplinary mathematics for engineering programs. He has also coordinated and delivered postgraduate courses in Science, Technology and Society, advanced X-ray techniques, image science, and mathematics for scientific applications.

He has authored numerous peer-reviewed publications in international journals and has participated in collaborative research projects both nationally and internationally, including research stays in France (CNRS – Institut Néel).

Dr. Andrini’s work bridges rigorous mathematical theory, computational modeling, and real-world scientific applications, making him particularly well-positioned to contribute to interdisciplinary initiatives at the intersection of mathematics, science, and education.

GoogleScholar | ScopusProfile

1. Understanding metal speciation in Argentinian crude oil asphaltenes: A multi-technique approach

• Journal: Fuel (Elsevier)
• Year: 2026
• Type: Research Article
• Summary:
  • Spectroscopic analysis of crude oil components (vanadium, nickel)
  • Multi-technique (XRF, UV–Vis, EPR, XAS) study
• Co-authored with multiple researchers
• DOI: 10.1016/j.fuel.2025.138014
  

2. Self-cooling Simulated Annealing (SCSA) algorithm for nonlinear least squares data analysis

• Year: 2025/2026
• Type: Method / Computational Research
• Area:
  • Optimization algorithms
  • Mathematical modeling
• Published with collaborators (Costa et al.)
  

3. 27Al Double-Resonance Magic-Angle Spinning NMR Studies of Surface Acidity

• Journal: Journal of Physical Chemistry (ACS)
• Area:
  • Catalysis
  • Surface chemistry
  • Spectroscopy
• Co-authored with leading researchers
  

General Publication Profile (From Indexed Databases)

According to his ResearchGate / Scholar profile:

• Total Publications: ~50+
• Citations: ~700+
• Reads: 20,000+
• Core Fields:
  • Nanoscience / Nanotechnology
  • Spectroscopy (XANES, EXAFS, XPS)
  • Signal analysis (Fourier, Wavelets)
  • Materials science & catalysis

Typical Research Themes Across Publications

• X-ray absorption spectroscopy (XAS, XANES, EXAFS)
• Nanomaterials & nanoparticles
• Surface chemistry and catalysis
• Mathematical modeling in physical systems
• Signal processing in spectroscopy

This explains his interdisciplinary profile:
Mathematics + Physics + Chemistry + Materials Science

Open Access Publishing

• Some works are:
  • Published in hybrid journals (Elsevier, ACS)
  • Some appear in open-access or institutional repositories

Conclusion:
Has mixed OA + subscription journal exposure