Nikoleta Zoupanou | Chemistry | Best Researcher Award

Ms. Nikoleta Zoupanou | Chemistry | Best Researcher Award

PhD Candidate at National and Kapodistrian University of Athens, Greece

Nikoletta Zoupanou is a dedicated physicist and Ph.D. candidate in Organic Chemistry at the National and Kapodistrian University of Athens. Her research focuses on conformational analysis of bioactive conjugates using NMR spectroscopy, with applications in medicinal chemistry and drug development. She holds an MSc in Biological Inorganic Chemistry and a BSc in Physics, both with outstanding academic performance. As a research fellow, she has contributed to antimicrobial innovation and immunotherapy studies, collaborating with prestigious institutions and pharmaceutical companies. She has published extensively in high-impact journals and contributed to a book chapter on peptide-based vaccines. Nikoletta has presented her research at numerous international conferences and actively participates in laboratory and computational chemistry projects. Her expertise in spectroscopy, molecular modeling, and analytical methods, combined with her strong technical and communication skills, makes her a strong candidate for the Best Researcher Award. Her work demonstrates innovation, impact, and dedication to scientific advancement.

Professional Profile 

Education

Nikoletta Zoupanou has an impressive academic background spanning physics, inorganic chemistry, and organic chemistry. She is currently pursuing a Ph.D. in Organic Chemistry at the National and Kapodistrian University of Athens, where her dissertation focuses on the conformational analysis of bioactive conjugates using nuclear magnetic resonance (NMR) spectroscopy. She previously earned an MSc in Biological Inorganic Chemistry from the University of Ioannina, achieving a perfect grade (10/10) for her thesis on spectroscopic and molecular modeling studies of bioactive organotin (IV) complexes of cholic acids. Her academic journey began with a BSc in Physics from the University of Ioannina, where she conducted research on the temperature effects on keratin in normal and fungal nail samples using Raman spectroscopy, again earning an excellent grade (10/10). Her multidisciplinary education has equipped her with a strong foundation in spectroscopy, molecular modeling, and analytical chemistry, contributing to her expertise in cutting-edge scientific research.

Professional Experience

Nikoletta Zoupanou has extensive research experience in organic and inorganic chemistry, with a strong focus on spectroscopy and molecular modeling. She has participated in multiple prestigious research programs, including the CERIC Program at the National Institute of Chemistry in Slovenia, where she contributed to antimicrobial innovations for disease prevention. Additionally, she was involved in the Research-Create-Innovate program, co-funded by the European Union and Greek national funds, where she helped develop new formulations for therapeutic lenses targeting microbial keratitis. She also conducted NMR elucidation studies on polymannose-peptide conjugates for multiple sclerosis immunotherapy, supported by Vianex S.A. pharmaceuticals. Alongside her research, she has worked as a laboratory assistant in organic and computational chemistry at the National and Kapodistrian University of Athens. With expertise in analytical techniques like Raman and NMR spectroscopy, she has made significant contributions to bioactive compound characterization, further establishing herself as a promising researcher in her field.

Research Interest

Nikoletta Zoupanou’s research interests lie at the intersection of organic chemistry, biological inorganic chemistry, and molecular modeling, with a particular focus on bioactive compounds and their interactions. She specializes in conformational analysis using nuclear magnetic resonance (NMR) spectroscopy to study bioactive conjugates and their binding mechanisms. Her work extends to computational modeling and spectroscopic studies of organotin complexes, cholic acids, and cyclodextrins, aiming to develop novel therapeutic agents. She is also deeply involved in the structural elucidation of peptide-based vaccines and their role in immunotherapy, particularly for multiple sclerosis. Her research on antimicrobial innovations and therapeutic formulations for medical applications demonstrates a strong interdisciplinary approach. With expertise in analytical techniques such as Raman and NMR spectroscopy, she explores the structural properties of biomolecules to advance drug design and biomedical applications. Her contributions to medicinal and computational chemistry showcase her dedication to innovative research in pharmaceutical and therapeutic sciences.

Award and Honor

Nikoletta Zoupanou has received several prestigious awards and honors in recognition of her outstanding contributions to research in organic and biological inorganic chemistry. Her participation in competitive research programs, such as the CERIC Program and Research-Create-Innovative, highlights her commitment to advancing scientific knowledge. She has been awarded research fellowships funded by the European Union and Greek national funds, supporting her innovative work on antimicrobial solutions and peptide-based immunotherapy for multiple sclerosis. Additionally, her academic excellence is reflected in her MSc degree with a perfect 10/10 grade, demonstrating her deep expertise in molecular modeling and spectroscopy. Nikoletta has also been an invited presenter at international conferences, including the Athens Conference on Advances in Chemistry and the EUROMAR Conference, where she showcased her groundbreaking research. Her numerous peer-reviewed publications further validate her contributions to scientific advancements, solidifying her reputation as a distinguished researcher in the field of medicinal and computational chemistry.

Research Skill

Nikoletta Zoupanou possesses a diverse and advanced skill set in research, particularly in organic and biological inorganic chemistry. Her expertise includes organic synthesis, molecular modeling, spectroscopy, and computational chemistry, which she applies to drug discovery and biomedical research. She is proficient in NMR spectroscopy, mass spectrometry, and crystallographic techniques, enabling her to analyze molecular structures with high precision. Nikoletta has extensive experience in computational methods, such as molecular docking and quantum mechanical calculations, to predict molecular interactions in biological systems. Additionally, she has developed strong biochemical assay techniques to evaluate the efficacy of novel therapeutic compounds. Her ability to integrate experimental and computational approaches allows her to design innovative solutions for antimicrobial resistance and immunotherapy. Nikoletta is also skilled in handling complex datasets, statistical analysis, and scientific programming, making her a valuable asset in multidisciplinary research projects. Her commitment to continuous learning and innovation underscores her excellence in scientific research.

Conclusion

Nikoletta Zoupanou is a highly competitive candidate for the Best Researcher Award. Her academic excellence, impactful publications, international collaborations, and technical expertise make her a strong contender. Strengthening her leadership in research projects, securing more independent grants, and expanding into industry collaborations would further solidify her standing.

Publications Top Noted

The article “Exploring Hypertension: The Role of AT1 Receptors, Sartans, and Lipid Bilayers” was published in ACS Omega in 2024. The authors of this review include:

  • Nikitas Georgiou
  • Eleni Chontzopoulou
  • Efthymios Alexandros Routsi
  • Irene Georgia Stavrakaki
  • Errikos Petsas
  • Nikoletta Zoupanou
  • Margarita Georgia Kakava
  • Demeter Tzeli
  • Thomas Mavromoustakos
  • Sofia Kiriakidi (Corresponding Author)

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