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Research Lines
Faculty of Natural Sciences and Mathematics
Research Lines
Generating high-impact scientific, technological, and analytical knowledge for sustainable development and innovation.
Chemistry Area
- Ligand-molecule interactions in solution systems.
- Valorization of natural resources for medicinal and agricultural applications.
- Chemical process modeling and multi-scale process optimization.
- Technological applications in water treatment.
- Environmental biotechnology for solid, liquid, and gaseous waste treatment.
- Evaluation of metal nanoparticles for agricultural and human health applications.
- Thermoeconomic evaluation of industrial processes.
- Characterization and valorization of agro-industrial waste for biofuel production.
- Assessment of carbon capture and utilization (CCU) processes from stationary combustion sources.
- Dynamics of emerging contaminants (HABs). Assessment of anthropogenic and emerging pollutants and their effects on biota and ecosystems.
- Development of innovative processes and products in the agro-industrial sector using cereals and oilseeds.
- Green chemistry: Biorefineries (sustainable biomass conversion for bio-compound production).
- Process intensification and scale-up.
- (Bio)electrochemical techniques and advanced technologies for pollutant removal and nanoparticle production.
Mathematics Area
- Applied statistics in health and social sciences.
- Applied statistics in environmental and life sciences.
- Mathematical statistics and data processing.
- Predictive modeling for decision-making.
- Mathematical simulation and optimization.
- Differential equations and dynamical systems.
- Functional analysis and operator theory.
- Algebraic and topological structures in abstract spaces.
- Computational mathematics.
Physics Area
- Energy efficiency, renewable, and alternative energies.
- Synthesis of carbon nanostructures via chemical vapor deposition (CVD).
- Deposition of nano-additives using electrospray technology.
- Fabrication of nanofibers via electrospinning.
- Studies of complex systems and time-series analysis in physical, biological, and economic systems.
- Determination of optomechanical properties in low-dimensional materials.
- Determination of spintronic and thermoelectric properties in low-dimensional materials.
Educational Innovation
- Development and implementation of technology-enhanced teaching and learning methodologies.
- Statistical data analysis to improve teaching-learning dynamics and evaluate innovative educational methodologies.
- Development and implementation of novel educational assessment methods.
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