Tag: electrochemical innovation award

Xeniya Leontyeva | Electrochemistry | Women Researcher Award

Published on by World Science Awards

Mrs. Xeniya Leontyeva | Electrochemistry | Women Researcher Award

D.V.Sokolskiy Institute of Fuel, Catalysis and Electrochemistry | Kazakhstan

Mrs. Xeniya Alexandrovna Leontyeva is a researcher specializing in electrochemical materials, semiconductor thin films, and nanostructured coatings, with a strong focus on applications in renewable energy and corrosion protection. She is affiliated with the Laboratory of Electrochemistry and Nanotechnological Processes at the “D.V. Sokolsky Institute of Fuel, Catalysis and Electrochemistry JSC” in Almaty, Kazakhstan, where she has contributed to scientific research since 2010. Her academic training spans the Bachelor’s, Master’s, and PhD programs in chemical engineering and chemistry at Al-Farabi Kazakh National University and the Kazakhstan-British Technical University, forming a solid foundation for her multidisciplinary research trajectory. Over more than a decade of scientific activity, Mrs. Leontyeva has been involved in national and international research projects funded by the Ministry of Education and Science of Kazakhstan, including studies on photoelectrochemical processes, semiconductor fabrication, conductive polymers, multicomponent chalcogenides for solar cells, and advanced anti-corrosion materials for industrial sectors. Her work has led to notable technological advancements and two innovative patents related to the preparation of cadmium sulfide colloidal solutions and the fabrication of ZnS thin films, demonstrating her contribution to practical and industrially relevant innovation. Mrs. Leontyeva has authored multiple peer-reviewed publications in respected journals such as Russian Journal of Applied Chemistry, Coatings, Materials Today: Proceedings, Journal of Saudi Chemical Society, Electroanalysis, and the Reports of the National Academy of Sciences of the Republic of Kazakhstan. Her research covers areas including electrochemical deposition, bismuth-based semiconductors, photoelectrochemical performance analysis, and organic corrosion inhibitors with relevance to the petrochemical industry. Through collaborations with the National Academy of Sciences of Belarus, Belarusian State University, and regional scientific institutions, she has helped strengthen cross-border research initiatives in materials science and applied chemistry.

Profiles: Scopus | ORCID

Featured Publications

Puzikova, D., Khussurova, G., Leontyeva, X., Kholkin, O., Kenzin, N., Zhurinov, M., & Peshaya, S. (2025). Review of organic corrosion inhibitors: Application with respect to the main functional group. Journal of Saudi Chemical Society.

Leontyeva, X. A., Ivanova, N. A., Khussurova, G. M., Puzikova, D. S., & Galeyeva, A. K. (2025). Photoelectrochemical performance of BiSI/Bi₁₃S₁₈I₂ thin films prepared via one-step chemical bath deposition. Electroanalysis.

Leontyeva, X. A., Khussurova, G. M., Puzikova, D. S., Nefedov, A. N., & Zhurynov, M. (2025). Performance and application of organic corrosion inhibitors in the petrochemical industry of the CIS countries: Review. Reports.

Leontyeva, X. A., Puzikova, D. S., Khussurova, G. M., Panchenko, P. V., & Galeyeva, A. K. (2023). Electrochemical deposition of bismuth sulfide thin films. Series Chemistry and Technology.

Leontyeva, X. A., Puzikova, D. S., Dergacheva, M. B., Khussurova, G. M., & Panchenko, P. V. (2023). Synthesis and properties of semiconductor bismuth sulfide iodide for photoelectrochemical applications. Journal of Saudi Chemical Society

Jaroslaw Milewski | Fuel Cells | Editorial Board Member

Published on by World Science Awards

Prof. Jaroslaw Milewski | Fuel Cells | Editorial Board Member

Warsaw University of Technology | Poland

Prof. Jarosław Milewski is an internationally recognized scholar in advanced energy systems, with a distinguished record of research in fuel cell technologies, energy conversion, hydrogen systems, thermodynamics, and mathematical modeling of electrochemical processes. His work has been pivotal in the development of high-efficiency and low-emission energy solutions, particularly within the domains of molten carbonate fuel cells (MCFCs), solid oxide fuel cells (SOFCs), and hybrid power systems. Over the last two decades, he has authored and co-authored more than 250 peer-reviewed publications, including journal articles, conference papers, and book chapters, which collectively hold several thousand citations, reflecting his significant influence on global clean-energy research. A key element of his scholarly contribution is the integration of artificial intelligence with energy system modeling. His recent work on Artificial Neural Network-based mathematical models for methanol steam reforming in MCFC anodes demonstrates his commitment to bridging experimental research with advanced computational frameworks. This approach has accelerated the optimization and predictive capabilities of next-generation fuel cell systems, supporting more sustainable industrial and power-generation applications. Prof. Milewski has collaborated extensively with leading research groups across Europe, Asia, and North America, contributing to multinational energy-innovation consortia, EU-funded projects, and industry-academia partnerships aimed at advancing decarbonization technologies. His leadership roles include serving on editorial boards of prominent energy journals, supervising doctoral candidates, and contributing to international scientific committees in sustainable engineering.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1.  Nikonowicz, Ł., & Milewski, J. (2012). Virtual power plants—General review: Structure, application and optimization. Journal of Power Technologies, 92(3), 201.

2.  Milewski, J., Świrski, K., Santarelli, M., & Leone, P. (2011). Advanced methods of solid oxide fuel cell modeling. Springer-Verlag London.

3.  Huang, Z., Xie, Z., Zhang, C., Chan, S. H., Milewski, J., Xie, Y., Yang, Y., & Hu, X. (2019). Modeling and multi-objective optimization of a stand-alone PV–hydrogen–retired EV battery hybrid energy system. Energy Conversion and Management, 181, 80–92.

4.  Modeling the SOFC behaviors by artificial neural network. International Journal of Hydrogen Energy, 34(13), 5546–5553.

5.  Milewski, J., Guandalini, G., & Campanari, S. (2014). Modeling an alkaline electrolysis cell through reduced-order and loss-estimate approaches. Journal of Power Sources, 269, 203–211