Federico Danilo Vallese | Chemistry | Best Innovation Award

Dr. Federico Danilo Vallese | Chemistry | Best Innovation Award

Asistente docente (UNS), Becario Posdoctoral CONICET. at Departamento de Química, Universidad Nacional del Sur, Argentina

Federico Danilo Vallese is a highly accomplished chemist and researcher specializing in water quality, environmental chemistry, and advanced chemical analysis techniques. With a focus on innovative approaches to quantifying chemical elements in natural waters and materials, his research contributes significantly to understanding pollution, chemical bioaccumulation, and environmental health. Vallese’s work includes groundbreaking studies on the impact of drought on water quality and developing advanced analytical methods, such as the successive projections algorithm, to improve chemical quantification. He has published multiple influential articles in renowned scientific journals, highlighting his expertise in multivariate calibration, chemometrics, and computer vision for chemical analysis.

Professional Profile 

  • Scopus Profile
  • ORCID Profile

Education

Federico Danilo Vallese completed his undergraduate studies in chemistry at Universidad Nacional del Sur, Bahía Blanca, Argentina, where he later earned his Bachelor’s degree in Chemistry in 2014. He continued his academic journey by obtaining a Master’s degree and a Ph.D. in Chemistry from the same institution in 2022. During his doctoral studies, he focused on environmental and analytical chemistry, developing advanced methods for detecting toxic elements in water and other environmental samples. Vallese’s solid academic foundation has positioned him as a key player in both the scientific and educational communities.

Professional Experience

Federico Danilo Vallese currently holds the position of Asistente Docente (Assistant Professor) at Universidad Nacional del Sur, where he teaches chemistry. Since August 2022, he has been serving as a postdoctoral researcher at Instituto de Química del Sur, specializing in chemical analysis and environmental chemistry. In his role, he has contributed to several high-impact projects, particularly in water quality monitoring and developing novel analytical techniques. Vallese’s experience extends to teaching, where he shares his expertise with students, fostering the next generation of chemists. His work as a researcher and educator bridges the gap between theoretical chemistry and real-world applications in environmental science.

Research Interests

Federico Danilo Vallese’s research primarily focuses on environmental chemistry, particularly the analysis of water quality and pollution. His work addresses the bioaccumulation of toxic metals, such as cadmium and lead, in aquatic organisms, and the development of advanced analytical techniques to quantify these elements in natural waters. Vallese also investigates the influence of environmental factors like drought on water quality in regions like the Colorado River Basin. Another area of interest includes the application of chemometrics and multivariate calibration methods to improve the precision and efficiency of chemical analysis, such as the simultaneous quantification of multiple elements in alloys. His research incorporates cutting-edge approaches like computer vision-based techniques, enabling the detection and quantification of chemical constituents in complex matrices like bee pollen and water samples, ultimately contributing to a deeper understanding of environmental pollution and its impact on ecosystems.

Awards and Honors

Federico Danilo Vallese has garnered recognition for his impactful research contributions in the field of chemistry. While specific awards and honors are not listed in the available data, his consistent publication record in reputable journals, such as Water, Chemometrics and Intelligent Laboratory Systems, and Journal of Food Composition and Analysis, speaks to the significance and impact of his work. Vallese’s innovative use of multivariate calibration techniques and chemometrics in solving complex environmental and analytical problems has brought him recognition within the academic community. Additionally, his dedication to advancing scientific knowledge and environmental sustainability, particularly in water quality monitoring, showcases his commitment to excellence in research and innovation, further cementing his position as a respected scientist in his field.

Publications Top Noted

  • Title: Bioaccumulation Study of Cadmium and Lead in Cyprinus carpio from the Colorado River, Using Automated Electrochemical Detection
    Authors: Vallese, F.D., Stupniki, S., Trillini, M., Juan, A., Pistonesi, M.F.
    Year: 2025
    Citations: 0
  • Title: Data Analysis to Evaluate the Influence of Drought on Water Quality in the Colorado River Basin
    Authors: Vallese, F.D., Trillini, M., Dunel Guerra, L., Pistonesi, M.F., Pierini, J.O.
    Year: 2024
    Citations: 1
  • Title: Multivariate Calibration Strategies for the Simultaneous Quantification of Aluminium and Vanadium in Ti6Al4V Alloys
    Authors: Belén, F., Vallese, F.D., de Sousa Fernandes, D.D., Messina, P.V., Pistonesi, M.F.
    Year: 2024
    Citations: 0
  • Title: Exploiting the Successive Projections Algorithm to Improve the Quantification of Chemical Constituents and Discrimination of Botanical Origin of Argentinean Bee-Pollen
    Authors: Vallese, F.D., Paoloni, S.G., Springer, V., Diniz, P.H.G.D., Pistonesi, M.F.
    Year: 2024
    Citations: 4
  • Title: An Improved Successive Projections Algorithm Version to Variable Selection in Multiple Linear Regression
    Authors: Canova, L.D.S., Vallese, F.D., Pistonesi, M.F., de Araújo Gomes, A.
    Year: 2023
    Citations: 11
  • Title: Colorado River (Argentina) Water Crisis Scenarios and Influence on Irrigation Water Quality Conditions
    Authors: Trillini, M., Pierini, J.O., Vallese, F.D., Dunel Guerra, L., Pistonesi, M.F.
    Year: 2023
    Citations: 6
  • Title: Exploiting a Gradient Kinetics and Color Histogram in a Single Picture to Second-Order Digital Imaging Data Acquisition with MCR-ALS for the Arsenic Quantification in Water
    Authors: Vallese, F.D., Belén, F., Messina, P.V., de Araújo Gomes, A., Pistonesi, M.F.
    Year: 2021
    Citations: 3
  • Title: Computer-Vision Based Second-Order (Kinetic-Color) Data Generation: Arsenic Quantitation in Natural Waters
    Authors: Belén, F., Vallese, F.D., Leist, L.G.T., Gomes, A.D.A., Pistonesi, M.F.
    Year: 2020
    Citations: 11