Nüveyre Canbolat | Inorganic | Best Researcher Award

Ms. Nüveyre Canbolat | Inorganic | Best Researcher Award

Research Assistance, Gazi Üniversity Turkey

Nuveyre Canbolat is a Research Assistant in Inorganic Chemistry at Gazi University, with expertise in both theoretical and synthetic chemistry. Her research spans various domains, from Quantum Chemistry to Biophysics, and she has developed an interest in computational chemistry and machine learning applications. In 2021, she founded RIASEARCH, a chemical software company, aiming to advance these areas. She was awarded a government scholarship in 2024 for her PhD in hydrogen and fuel cell research, building on her master’s thesis. With diverse experiences in industry and academia, she is committed to bridging the gap between theoretical research and practical applications.

Publication Profile

Orcid

🎓 Education

Nuveyre Canbolat holds an MSc in Chemistry from Bilkent University (2016-2018), with a thesis on the synthesis and characterization of silver phosphate as a photocatalyst. She earned a BS in Chemistry from the same university in 2016, graduating second in her class with a GPA of 3.79/4.00. During her academic journey, she also received financial support for research projects, including work on metal phosphates for energy storage and sulfonylureas as ALS enzyme inhibitors, under renowned professors at Bilkent.

💼 Experience

Nuveyre Canbolat is the founder of RIASEARCH Chemical Software Company (2021-present), specializing in chemical software and algorithms. She has served as a Research and Teaching Assistant at Gazi University since 2018, teaching General Chemistry, Inorganic Chemistry, and Analytical Chemistry, while conducting research in the same areas. Previously, she worked as a Research Assistant at Bilkent University (2016-2018), where she focused on Quantum Chemistry and Inorganic Chemistry courses. Her summer internships included research at Greifswald University’s Department of Biophysics and TAI, Turkish Aerospace Industry, where she studied material properties.

🏆 Awards & Honors

Nuveyre Canbolat has received various honors during her academic career, including a full government scholarship in 2024 to pursue PhD research on hydrogen and fuel cells. She ranked second in her graduating class at Bilkent University and received financial support for several research projects, including one from TUBITAK. Additionally, her research work, including the synthesis of metal phosphates and sulfonylureas, has been recognized at national and international conferences, with several published articles in peer-reviewed journals.

🔬 Research Focus

Nuveyre Canbolat’s research focuses on inorganic chemistry, computational chemistry, and machine learning applications. She has worked on the synthesis and characterization of metal phosphates for energy storage, photocatalysis, and hydrogen-related technologies. Her current research includes the development of sulfonylureas as ALS enzyme inhibitors and the exploration of hydrogen fuel cells. She also conducts molecular docking studies to understand enzyme inhibition and drug design. As a founder of RIASEARCH, she aims to integrate software development with chemical research for more effective simulations and solutions.

Conclusion

Nuveyre Canbolat is a highly skilled and promising researcher whose background in inorganic chemistry, machine learning, and computational applications positions him as a valuable contributor to the field. His innovative research, entrepreneurial efforts, and academic achievements make him an excellent candidate for the Best Researcher Award. With continued dedication to expanding his international collaborations and enhancing his research output, Canbolat is poised to become a leading figure in his field, driving forward advancements in both scientific discovery and applied technologies.

Publication Top Notes

Title: Sulfonyl hydrazone derivatives containing acetonaphthone as anticholinesterase inhibitors for the treatment of Alzheimer’s: X-ray single-crystal analysis, and multifaceted theoretical calculations
Journal: Journal of Molecular Structure
Publication Date: December 2024
DOI: 10.1016/j.molstruc.2024.139311
Contributors: Ümmühan Özdemir Özmen, Saliha Alyar, Esra Bilen Ayan, Nüveyre Canbolat, Fatma Hamurcu, Hamit Alyar, Sinan Mithat Muhammet, Kerem Kaya

 

 

Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr. Wang Jinlin| Geoscience | Best Innovation Award

Prof. Dr at Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Wang Jinlin is a Research Professor at the Institute of Space Applications Engineering and Technology, Chinese Academy of Sciences. With expertise in remote sensing geology, mathematical geology, hyperspectral applications, and GIS technology, his work significantly impacts resource exploration and geological analysis. He has contributed extensively to understanding and mapping mineral resources and developing advanced geospatial technologies.

Profile

Scopus

🎓 Education

Ph.D. in Cartography and Geographic Information System from Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (2004-2010, supervised by Chen Xi). Bachelor’s in Resource Exploration Engineering from China University of Geosciences, Wuhan (1998-2002, supervised by Zhou Zonggui).

💼 Experience

Currently, Research Professor at the Institute of Space Applications Engineering and Technology, CAS (since 2023). Previously, Senior Engineer at Xinjiang Institute of Ecology and Geography, CAS (2020-2023), and Assistant Research Professor (2010-2015). Also served as a Visiting Scholar at Saint Louis University in 2011.

🏆 Awards & Honors

Received Science and Technology Progress awards from Xinjiang Uygur Autonomous Region People’s Government for projects on geological big data and tourism tech integration (2017). Holds patents in geological and spatial technology, including topological sorting of stratigraphic sequences (2021), and co-developed an award-winning dynamic platform for aero-magnetic surveys.

🔬 Research Focus

Specializes in remote sensing geology, hyperspectral imaging for mineral detection, and GIS for resource management. His research advances methods for metal estimation in rocks, hyperspectral data application, and innovative geological modeling and management systems.

Publications Top Notes

  • Pd(II)/Pd(IV) Redox Shuttle for Kesterite Solar Cells
    Authors: Wang, J., Shi, J., Yin, K., … Chen, S., Meng, Q.
    Journal: Nature Communications, 2024, 15(1), 4344
    This open-access article explores a Pd(II)/Pd(IV) redox shuttle method to reduce vacancy defects in kesterite solar cells, enhancing efficiency.

 

  • Multinary Alloying in Kesterite Solar Cells
    Authors: Shi, J., Wang, J., Meng, F., … Li, D., Meng, Q.
    Journal: Nature Energy, 2024, 9(9), 1095–1104
    The study discusses alloying to aid cation exchange and minimize defects in kesterite solar cells, achieving above 14% certified efficiency.

 

  • Lithium Content Estimation in Rock Debris via Spectral Feature Coefficients
    Authors: Jiang, G., Chen, X., Zhou, K., … Zhou, S., Bai, Y.
    Journal: Ore Geology Reviews, 2024, 171, 106167
    This paper focuses on a spectral feature-based method to estimate lithium content in rock samples, relevant for geochemical studies.

 

  • Impact of Band Optimization on Hyperspectral Metal Element Inversion Models
    Authors: Ma, X., Wang, J., Zhou, K., … De Maeyer, P., Van de Voorde, T.
    Journal: International Journal of Applied Earth Observation and Geoinformation, 2024, 132, 104011
    A quantitative evaluation of band optimization techniques to improve accuracy in metal element inversion models using hyperspectral data.

 

  • Inversion of Feldspar Content in Granite Using Hyperspectral Indices
    Authors: Wu, M., Jin, J., Wang, J., Wang, Q.
    Journal: Acta Geologica Sinica, 2024, 98(1), 314–323
    This research employs multi-angular hyperspectral indices to analyze and quantify feldspar content in granite.