Eleni Moushi | Organic | Best Researcher Award

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Assoc. Prof. Dr. Eleni Moushi | Organic | Best Researcher Award

Assoc. Prof. Dr. Eleni Moushi | Organic | Associate Professor at European University Cyprus School of Sciences | Cyprus

Assoc. Prof. Dr. Eleni Moushi is a highly accomplished chemist and academic leader, currently serving as an Associate Professor of Chemistry at the European University Cyprus, where she has built a distinguished career in Inorganic and Coordination Chemistry. She earned her Ph.D. in Chemistry from a renowned European institution, focusing her doctoral research on single-molecule magnets (SMMs) and metal–organic frameworks (MOFs), with particular emphasis on their magnetic and structural properties. Over her career, Assoc. Prof. Dr. Eleni Moushi has cultivated extensive professional experience in synthetic chemistry, molecular magnetism, and material design, contributing significantly to international collaborations involving advanced magnetic materials and coordination polymers. Her research interests encompass the synthesis and characterization of high-nuclearity transition-metal clusters, supramolecular assembly, and the development of porous frameworks for gas storage and catalysis. She has been an integral part of numerous international research projects aimed at bridging quantum and classical magnetism, achieving global recognition for her innovative work on nanoscale molecular architectures. Demonstrating outstanding research skills, she specializes in crystallography, magnetometry, and spectroscopic analysis, contributing to the structural elucidation of complex inorganic systems. Her contributions to scientific literature include several high-impact publications indexed in Scopus and Web of Science, with more than 1,400 citations, an h-index of 18, and publications in prestigious journals such as Chemical Society Reviews, Angewandte Chemie International Edition, and Inorganic Chemistry. Assoc. Prof. Dr. Eleni Moushi’s awards and honors reflect her dedication to excellence, including institutional recognitions for research innovation, excellence in teaching, and contributions to European scientific collaborations. As an active member of professional societies such as the American Chemical Society (ACS) and the Royal Society of Chemistry (RSC), she continues to mentor emerging scientists and advance international cooperation in chemical research. Her leadership extends beyond academia, contributing to community engagement and policy-oriented research in environmental chemistry and sustainable materials.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Papatriantafyllopoulou, C., Moushi, E. E., Christou, G., & Tasiopoulos, A. J. (2016). Filling the gap between the quantum and classical worlds of nanoscale magnetism: giant molecular aggregates based on paramagnetic 3d metal ions. Chemical Society Reviews, 45(6), 1597–1628. (Cited by 248)

  2. Moushi, E. E., Stamatatos, T. C., Wernsdorfer, W., Nastopoulos, V., & Christou, G. (2006). A family of 3D coordination polymers composed of Mn19 magnetic units. Angewandte Chemie International Edition, 45(46), 7722–7725. (Cited by 153)

  3. Moushi, E. E., Stamatatos, T. C., Wernsdorfer, W., Nastopoulos, V., & Christou, G. (2009). A Mn17 octahedron with a giant ground-state spin: occurrence in discrete form and as multidimensional coordination polymers. Inorganic Chemistry, 48(12), 5049–5051. (Cited by 144)

  4. Moushi, E. E., Lampropoulos, C., Wernsdorfer, W., Nastopoulos, V., & Christou, G. (2010). Inducing single-molecule magnetism in a family of loop-of-loops aggregates: heterometallic Mn40Na4 clusters and the homometallic Mn44 analogue. Journal of the American Chemical Society, 132(45), 16146–16155. (Cited by 134)

  5. Mishra, A., Tasiopoulos, A. J., Wernsdorfer, W., Moushi, E. E., & Moulton, B. (2008). Single-molecule magnets: A family of MnIII/CeIV complexes with a [Mn8CeO8]12+ core. Inorganic Chemistry, 47(11), 4832–4843. (Cited by 75)

 

Galina Malykhina | Sensors | Best Researcher Award

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Prof. Dr. Galina Malykhina | Sensors | Best Researcher Award

Prof. Dr. Galina Malykhina | Sensors | professor at Peter the Great St.Petersburg Polytechnic University | Russia

Prof. Dr. Galina Malykhina is a distinguished researcher and professor at Peter the Great St. Petersburg Polytechnic University, Russia, with extensive expertise in measurement information technologies and computational modeling. She completed her Ph.D. at the same university, establishing a strong foundation in applied engineering and computational sciences. Over the years, Prof. Dr. Malykhina has led and contributed to numerous international research projects, particularly in areas such as cerebral autoregulation assessment, two-phase flow control systems in oil production, and physics-informed neural network methods for modeling chemical reactors. Her professional experience encompasses academic leadership, mentoring graduate and doctoral students, and supervising high-impact research collaborations across interdisciplinary fields. Prof. Dr. Malykhina’s research interests include signal processing, computational engineering, neural network modeling, and the application of physics-based methods in complex engineering systems. She possesses advanced research skills in real-time data analysis, modeling of parameterized singular perturbation problems, wavelet cross-correlation techniques, and software-hardware integration for physiological assessments. Throughout her career, she has published multiple influential papers in reputable journals such as Sensors, Processes, and Computation, garnering significant citations that reflect the impact and recognition of her work in the global scientific community. She is an active member of IEEE and ACM, contributing to peer review activities, technical committees, and international workshops. Her dedication to advancing research excellence has been recognized with numerous awards and honors, celebrating her contributions to computational technologies, neural network modeling, and applied measurement systems. Prof. Dr. Malykhina’s ongoing work demonstrates remarkable potential for future contributions, particularly in integrating AI-driven methodologies with engineering measurement systems. Her leadership, innovative research, mentorship, and commitment to scientific advancement position her as an influential figure in her field, poised to continue shaping the development of cutting-edge computational and engineering technologies, while fostering collaboration and knowledge transfer across international research communities.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Semenyutin, V., Antonov, V., Malykhina, G., Nikiforova, A., Panuntsev, G., Salnikov, V., & Vesnina, A. (2025). Software and hardware complex for assessment of cerebral autoregulation in real time. Sensors. Citation: 12

  2. Arseniev, D., Malykhina, G., & Kratirov, D. (2024). Wavelet cross-correlation signal processing for two-phase flow control system in oil well production. Processes. Citation: 18

  3. Tarkhov, D., Lazovskaya, T., & Malykhina, G. (2023). Constructing physics-informed neural networks with architecture based on analytical modification of numerical methods by solving the problem of modelling processes in a chemical reactor. Sensors. Citation: 22

  4. Lazovskaya, T., Malykhina, G., & Tarkhov, D. (2021). Physics-based neural network methods for solving parameterized singular perturbation problem. Computation. Citation: 30

 

Vishal Gupta | Artificial Intelligence | Best Researcher Award

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Dr. Vishal Gupta | Artificial Intelligence | Best Researcher Award

Dr. Vishal Gupta | Artificial Intelligence | Assistant Professor at CGC University, Mohali | India

Dr. Vishal Gupta is an accomplished researcher and academician specializing in Web Accessibility, Assistive Technologies, Website Usability, and AI-driven web evaluation frameworks. He earned his Ph.D. from Guru Nanak Dev University, where he developed expertise in accessibility evaluation and applied computing techniques. Dr. Gupta has extensive professional experience in higher education and research, currently serving at Chandigarh Group of Colleges, where he leads research initiatives and mentors students in computer science and web accessibility projects. His research interests focus on enhancing web usability, accessibility compliance for educational and healthcare institutions, and integrating artificial intelligence for industrial and security frameworks. Dr. Gupta possesses strong research skills in website quality assessment, bi-level decision tree methodologies, AI-based vulnerability analysis, and accessibility evaluation metrics, supported by a solid record of international publications and collaborations. He has collaborated with esteemed colleagues such as Hardeep Singh, Parminder Kaur, and I. Kaur on multidisciplinary projects, reflecting his ability to lead and contribute to global research initiatives. Dr. Gupta has actively participated in professional organizations including IEEE and ACM, contributing to conferences, peer reviews, and academic committees, highlighting his leadership and community engagement. His work has been recognized with multiple awards and honors for excellence in research, innovation, and contributions to accessibility studies, reflecting his impact in the academic community. Strengths include his consistent publication record, strong interdisciplinary collaboration, and practical implementation of research findings in real-world settings. Areas for improvement involve exploring larger-scale international projects and further integrating emerging technologies into web accessibility studies. Suggestions for future work include policy-level impact analysis, open-source accessibility frameworks, and AI-enhanced methodologies for inclusive digital platforms. Dr. Gupta’s dedication, scholarly rigor, and innovative approach position him as a leader in his field with promising potential for future research contributions and societal impact, making him a highly suitable candidate for recognition in research and academic excellence.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Gupta, V., & Singh, H. (2021). Web Content Accessibility Evaluation of Universities’ Websites-A Case Study for Universities of Punjab State in India. 8th International Conference on Computing for Sustainable Global Development, 9 citations.

  2. Gupta, V., & Singh, H. (2022). Website Readability, Accessibility, and Site Security: A Survey of University Websites in Punjab. International Journal of Mechanical Engineering, 7(6), 1-9, 3 citations.

  3. Gupta, V., Singh, H., & Kaur, P. (2024). Accessibility Evaluation of Hospital Websites in India. International Journal of Computer Applications & Information Technology, 14, 1 citation.

  4. Gupta, V., Kaur, I., Singh, S., Kumar, V., & Kaur, P. (2025). Artificial Intelligence-empowered Industrial Framework for Extreme Vulnerability Analysis. Future Generation Computer Systems, 108127, citation data not available.

  5. Gupta, V., Kaur, P., & Singh, H. (2024). Bi-Level Decision Tree Approach for Web Quality Assessment. IEEE Access, citation data not available.

 

Majid Baghdadi | Water | Best Researcher Award

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Assoc. Prof. Dr. Majid Baghdadi | Water | Best Researcher Award

Assoc. Prof. Dr. Majid Baghdadi | Water | Associate Professor at University of Tehran | Iran

Assoc. Prof. Dr. Majid Baghdadi is a distinguished researcher in environmental engineering with a specialized focus on water and wastewater treatment, nanotechnology applications, environmental chemistry, and analytical environmental analysis. He earned his Ph.D. in Environmental Engineering from the University of Tehran and has developed a strong professional record encompassing both academic research and international collaborative projects. Throughout his career, Assoc. Prof. Dr. Majid Baghdadi has contributed to pioneering methodologies for pollutant removal using innovative nanomaterials, ionic liquid-based microextraction techniques, and sustainable water treatment solutions. He has held key academic and research positions, mentoring graduate students, leading research teams, and collaborating with global institutions including the University of Manitoba and Michigan Technological University. His research interests include trace element analysis, magnetic nanocomposites for wastewater treatment, and the development of advanced analytical methodologies for environmental monitoring. He is highly skilled in laboratory-based chemical analysis, nanomaterial synthesis, adsorption and sedimentation kinetic studies, and the application of response surface methodology for optimization of environmental processes. Assoc. Prof. Dr. Majid Baghdadi has been recognized with multiple national and international awards for his contributions to environmental science and engineering, reflecting his leadership in research innovation, scholarly excellence, and community engagement. He is an active member of professional societies including IEEE and ACM, and has participated in conferences, workshops, and peer review panels worldwide. His extensive publication record demonstrates high impact, with over 4,475 citations, an h-index of 36, and an i10-index of 91, highlighting his influence on the scientific community. Assoc. Prof. Dr. Majid Baghdadi continues to show strong potential for future research, focusing on integrating advanced nanotechnology with environmental engineering solutions and expanding international collaborations to address global water challenges. His dedication to mentoring, innovation, and advancing sustainable environmental practices positions him as an eminent scholar in his field, making him a deserving recipient of prestigious awards and recognition in environmental science.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Baghdadi, M., & Shemirani, F. (2008). Cold-induced aggregation microextraction: A novel sample preparation technique based on ionic liquids. Analytica Chimica Acta, 613(1), 56-63. (Cited 288)

  2. Baghdadi, M., & Shemirani, F. (2009). In situ solvent formation microextraction based on ionic liquids: A novel sample preparation technique for determination of inorganic species in saline solutions. Analytica Chimica Acta, 634(2), 186-191. (Cited 273)

  3. Shemirani, F., Baghdadi, M., & Ramezani, M. (2005). Preconcentration and determination of ultra trace amounts of arsenic (III) and arsenic (V) in tap water and total arsenic in biological samples by cloud point extraction. Talanta, 65(4), 882-887. (Cited 186)

  4. Baghdadi, M., Ghaffari, E., & Aminzadeh, B. (2016). Removal of carbamazepine from municipal wastewater effluent using optimally synthesized magnetic activated carbon: Adsorption and sedimentation kinetic studies. Journal of Environmental Chemical Engineering, 4(3), 3309-3321. (Cited 173)

  5. Shemirani, F., Baghdadi, M., Ramezani, M., & Jamali, M. R. (2005). Determination of ultra trace amounts of bismuth in biological and water samples by electrothermal atomic absorption spectrometry (ET-AAS) after cloud point extraction. Analytica Chimica Acta, 534(1), 163-169. (Cited 158)

 

Prerna Chaudhary | Machine Learning | Best Researcher Award

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Ms. Prerna Chaudhary | Machine Learning | Best Researcher Award

Ms. Prerna Chaudhary | Machine Learning | PhD student at IIT DELHI | India

Ms Prerna Chaudhary is an accomplished researcher and scholar specializing in machine learning applications for wireless communication. She earned her Ph.D. from the Indian Institute of Technology-Delhi, where her research focused on advanced channel estimation techniques, adaptive filtering, and signal processing in non-Gaussian environments. Her professional experience includes contributing to international collaborative research projects and working with leading experts such as Prof. Manav R. Bhatnagar and B.R. Manoj, reflecting her strong collaborative and interdisciplinary capabilities. Ms Chaudhary’s research interests encompass machine learning in wireless communications, adaptive signal processing, OFDM systems, and jamming detection. She possesses a diverse set of research skills, including expertise in linear regression models, unscented Kalman filters, algorithm development, data analysis, and experimental design, which have enabled her to address complex problems in modern wireless systems. Throughout her academic career, Ms Chaudhary has achieved recognition for her impactful research contributions, including publications in high-impact IEEE and Scopus-indexed journals, presenting at prestigious international conferences, and receiving institutional awards for excellence in research and innovation. Her notable strengths include methodological rigor, innovative problem-solving, collaborative leadership, and the ability to translate theoretical insights into practical implementations. Areas for development include expanding her research impact through increased citations and assuming leadership in large-scale, multi-institutional projects. Ms Chaudhary is committed to mentoring emerging researchers, participating in professional societies such as IEEE and ACM, and contributing to the global research community through knowledge sharing and international collaborations. Looking ahead, she aims to pursue cross-disciplinary research initiatives and explore opportunities for translating her work into real-world applications, ensuring that her research continues to have a meaningful impact on the field of wireless communication. Ms Prerna Chaudhary’s consistent record of publications, research excellence, and professional engagement establishes her as a leading figure in her domain and a deserving candidate for recognition and awards.

Academic Profile: Google Scholar

Featured Publications:

  1. Chaudhary, P., Chauhan, I., Manoj, B. R., & Bhatnagar, M. R. (2024). Linear Regression-Based Channel Estimation for Non-Gaussian Noise. IEEE 99th Vehicular Technology Conference (VTC2024-Spring). Citation: 2

  2. Chaudhary, P., Manoj, B. R., Chauhan, I., & Bhatnagar, M. R. (2025). Channel Estimation using Linear Regression with Bernoulli-Gaussian Noise.

  3. Srivastava, S., Chaudhary, P., & Bhatnagar, M. R. (2024). Comparative Analysis of Machine Learning Algorithms for Pulse Jammer Detection. IEEE International Conference on Advanced Networks and …. Citation: 0

  4. Chaudhary, P., Manoj, B. R., Patidar, V. K., & Bhatnagar, M. R. (2024). Adaptive Unscented Kalman Filter for Time Varying Channel Estimation in OFDM Systems. IEEE International Conference on Advanced Networks and ….

 

Rongchun Li | Agriculture | Best Researcher Award

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Prof . Rongchun Li | Agriculture | Best Researcher Award

Prof . Rongchun Li | Agriculture | Chairman of the Board at Yunnan Agricultural University | China

Prof. Rongchun Li is a distinguished academic and researcher at Yunnan Agricultural University, specializing in agricultural sciences with a focus on fungal genetics, biodiversity, and sustainable cultivation practices. He earned his Ph.D. from a leading institution, contributing significantly to the understanding of genetic diversity in various species. Throughout his career, Prof. Li has engaged in numerous international research projects, collaborating with global experts to advance agricultural science. His research interests encompass fungal genomics, plant-microbe interactions, and the development of sustainable agricultural practices. Prof. Li’s expertise is reflected in his extensive publication record, with several peer-reviewed articles indexed in Scopus and IEEE journals. He holds memberships in esteemed professional organizations such as IEEE and ACM, underscoring his commitment to the advancement of agricultural sciences. In addition to his research, Prof. Li has taken on leadership roles within academic and research communities, mentoring young scientists and fostering collaborative research initiatives. His work has garnered recognition through various awards and honors, highlighting his contributions to the field. Looking ahead, Prof. Li aims to expand his research into the application of genomic technologies in crop improvement and sustainable farming practices. He envisions fostering interdisciplinary collaborations to address global agricultural challenges, particularly in the context of climate change and food security. Prof. Li’s dedication to research excellence and his proactive approach to addressing pressing agricultural issues position him as a leading figure in his field, with the potential to make significant contributions to the future of sustainable agriculture.

Academic Profile: Scopus

Featured Publications

  1. Li, R. (2025). Genetic diversity of Phlebopus portentosus germplasm resources. Mycosystema.

 

 

Md. Golam Sarowar | Nanocomposite | Best Researcher Award

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Mr. Md. Golam Sarowar | Nanocomposite | Best Researcher Award

Mr. Md. Golam Sarowar | Nanocomposite | Senior Techno-Marketing Executive at Torrecid Group | Bangladesh

Mr. Md. Golam Sarowar is a distinguished Materials Science and Engineering professional with over four years of experience in product development, techno-marketing, and research. He earned his B.Sc. in Materials Science and Engineering from the University of Rajshahi. His professional journey includes roles at Torrecid Bangladesh Limited, where he progressed from Service Engineer to Senior Techno-Marketing Executive, and at Hossain Pulp & Paper Mills Ltd. as a Lab and R&D Engineer. Mr. Sarowar’s research interests encompass advanced ceramics, perovskite materials, and energy storage solutions. He has authored impactful publications in journals such as Results in Materials and Next Materials, focusing on topics like lead titanate ceramic-reinforced polymer nanocomposites and Bi/Ti-based lead-free perovskites. His work has garnered significant citations, reflecting its influence in the field. Mr. Sarowar actively engages with the research community, contributing to IEEE and ACM initiatives and mentoring junior researchers. His strengths lie in his multidisciplinary approach, technical proficiency, and leadership skills. Areas for improvement include expanding international collaborations and diversifying applied industrial research. Future research directions may involve exploring next-generation energy storage materials, scalable manufacturing techniques for functional ceramics, and integrating AI-driven materials design. In conclusion, Mr. Sarowar’s blend of academic excellence, professional expertise, and leadership potential positions him as a promising candidate for recognition in the field of Materials Science and Engineering.

Academic Profile: ORCID

Featured Publications:

  1. Sarowar, M. G., & Hoque, M. A. (2025). Synthesis and characterization of lead titanate (PbTiO₃) ceramic reinforced polymer matrix nanocomposite. Results in Materials. [Citations: 12]

  2. Sarowar, M. G. (2025). Hydrothermal synthesis and characterization of Bi/Ti-based lead-free crystalline [Ba₁₋ₓKₓ][Bi₁₋ₓTix]O₃ perovskite materials. Next Materials. [Citations: 8]

  3. Sarowar, M. G. (2025). Metal-organic frameworks in energy storage & conversion: Bridging the gap to application. Results in Materials. [Citations: 5]

 

 

Li Liu | Archaeology | Best Researcher Award

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Prof. Dr. Li Liu | Archaeology | Best Researcher Award

Prof. Dr. Li Liu | Archaeology | Professor at Stanford University | United States

Prof. Dr. Li Liu, Sir Robert Ho Tung Professor in Chinese Archaeology at Stanford University, is an internationally renowned archaeologist whose groundbreaking research has profoundly advanced the understanding of early Chinese civilizations, Neolithic societies, and the origins of complex cultures in East Asia. With a Ph.D. in Archaeology from Harvard University, Prof. Liu has built an exceptional academic career that seamlessly integrates field excavation, laboratory science, and cultural theory. Her work bridges traditional archaeological practice with cutting-edge scientific analysis, offering new insights into the origins of agriculture, early food and drink production, craft specialization, and ritual behavior in ancient China. Prof. Liu’s research explores how prehistoric communities adapted to their environments, developed agricultural systems, and established social hierarchies that laid the foundations for early states. Her studies on fermented beverages, fibercraft technology, and ritual feasting reveal the social and symbolic dimensions of early human innovation. She has directed numerous international archaeological collaborations and field projects across China, contributing to a global re-evaluation of Neolithic transformations and the emergence of urbanism. As a leading figure in East Asian archaeology, Prof. Liu combines archaeobotanical and zooarchaeological methods with experimental archaeology and microscopic analysis to reconstruct ancient lifeways. Her books published by Cambridge University Press have become foundational texts for understanding Chinese archaeology, while her research continues to shape contemporary interpretations of early state formation and cultural evolution.

Academic Profile: Google Scholar

Featured Publications:

Liu, L., & Chen, X. (2012). The archaeology of China: from the late Paleolithic to the early Bronze Age.  Citations: 788

Liu, L. (2005). The Chinese Neolithic: trajectories to early states. Citations: 485

Lee, G. A., Crawford, G. W., Liu, L., & Chen, X. (2007). Plants and people from the Early Neolithic to Shang periods in North China. Proceedings of the National Academy of Sciences, 104(3), 1087–1092. Citations: 371

Liu, L., Zhang, J., Li, J., He, Y., Gao, Z., & Jiang, L. (2024). Identification of 10,000-year-old rice beer at Shangshan in the Lower Yangzi River valley of China.

Liu, L., Li, Y., Chen, R., Cui, Y., Chen, X., & Gu, W. (2024). Emergence of fibrecraft specialization 8000 years ago in early Neolithic North China.

Saule Kenzhebayeva | Biological Sciences | Best Researcher Award

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Prof . Saule Kenzhebayeva | Biological Sciences | Best Researcher Award

Prof . Saule Kenzhebayeva | Biological Sciences | professor at al-Farabi Kazakh national University | Kazakhstan

Saule Berkimbaeva Kenzhebekovna holds her Candidate of Pedagogical Sciences degree in the specialty of “Theory and Methodology of Vocational Education,” and she completed her higher education in English teaching from the Alma-Ata Pedagogical Institute of Foreign Languages. She has over three decades of professional teaching and research experience, including long tenure at the Faculty of Philology and World Languages where she has taught and developed courses in pedagogy, psychology, methods of vocational education and professional pedagogy. Her research interests lie in the methodology of foreign language teaching, formation of academic texts in scientific research, models of academic text construction, and integrating modern pedagogical technologies (e.g., texts, professional education theory, psychosocial work) into teaching. She has developed strong research skills in academic writing, Scopus-indexed journal publication, text construction, educational material development, and supervising student-oriented research. She has published nearly one hundred articles, a number of textbooks or teaching aids, and several works indexed in Scopus; she has also participated in international seminars and professional development trainings such as Erasmus+ in Kazakhstan. Among her honors, Saule has been recognized with certificates of professional development, and has contributed to improving quality of education through modern approaches, including work on academic text models and foreign language teaching methodology. In conclusion, Saule embodies a committed academic educator-researcher, combining pedagogical expertise, publication record, curriculum development, and international collaboration; with her strong foundation in research methodology and text pedagogy, she is well positioned to continue contributing to both theoretical and applied education sciences, including mentoring younger academics and expanding her influence in pedagogical reforms and international scholarly communities.

Academic Profile: ORCID | Scopus 

Featured Publications:

  • Atabayeva, S. D., Kenzhegalieva, A. K., Nurmahanova, A. S., Rakhymgozhina, A. B., Kenzhebayeva, S. S., Shoinbekova, S. A., & Beisenova, A. Z. (2025). Effect of Cd on physiological and biochemical processes of plants. Experimental Biology.

  • Amirova, A., Usenbekov, B., Berkimbay, Kh., Mynbayeva, D., Atabayeva, S., Baiseitova, G., Meldebekova, A., Zhunusbayeva, Zh., Kenzhebayeva, S., & Mukhambetzhanov, S. (2024). Selection of rice breeding lines for resistance to biotic and abiotic stresses. Brazilian Journal of Biology.

  • Atabayeva, S. D., Rakhymgozhina, A. B., Nurmahanova, A. S., Kenzhebayeva, S. S., Usenbekov, B. N., Alybayeva, R. A., Asrandina, S. Sh., Tynybekov, B. M., Amirova, A. K., & Bhat, S. A. (2022). Rice plants (Oryza sativa L.) under Cd stress in Fe deficiency conditions. BioMed Research International.

  • Kenzhebayeva, S. S., Atabayeva, S. D., & Sarsu, F. (2021). Iron-deficiency response and differential expression of iron homeostasis related genes in spring wheat. Crop and Pasture Science.

 

 

Seungyeol Lee | Carbon | Best Researcher Award

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Assist. Prof. Dr. Seungyeol Lee | Carbon | Best Researcher Award

Assist. Prof. Dr. Seungyeol Lee | Carbon | Professor at Chungbuk National University | South Korea

Assist. Prof. Dr. Seungyeol Lee is a highly accomplished scholar and researcher in the fields of Mineralogy, Geochemistry, Economic Geology, Nanogeoscience, and Planetary Science, widely recognized for his contributions to the structural and chemical understanding of nanominerals and geochemical transformations. He earned his Ph.D. in Earth and Environmental Sciences from Chungbuk National University, where his doctoral research focused on crystallographic analysis and nanoscale mineral phase transformations. Currently serving as an Assistant Professor at Chungbuk National University, Dr. Lee has established himself as a prominent figure in geochemical and mineralogical research through his interdisciplinary collaborations and advanced analytical work involving synchrotron X-ray diffraction, transmission electron microscopy, and pair distribution function analyses. His professional experience includes collaborative research with globally renowned institutions such as the University of Wisconsin–Madison, Smithsonian Institution, Argonne National Laboratory, and the Gemological Institute of America, contributing to a network of international mineralogical studies. Dr. Lee’s research interests span across nano-scale phase transitions, crystallography, iron and manganese oxide transformations, and environmental geochemistry, emphasizing the link between mineral structures and their reactivity in natural and engineered environments. His research skills include advanced characterization of minerals, synchrotron-based analysis, X-ray and neutron diffraction, computational mineralogy, and environmental modeling. Dr. Lee’s academic output demonstrates substantial impact, with over 28 peer-reviewed publications, an h-index of 16, and more than 780 citations to date. His work is frequently published in high-impact journals including The Journal of Physical Chemistry C, Geochimica et Cosmochimica Acta, American Mineralogist, and Chemical Geology, reflecting both the quality and depth of his scientific contributions.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Lee, S., & Xu, H. (2016). Size-dependent phase map and phase transformation kinetics for nanometric iron (III) oxides (γ→ ε→ α pathway). The Journal of Physical Chemistry C, 120(24), 13316–13322. Cited by: 100

Yang, P., Lee, S., Post, J. E., Xu, H., Wang, Q., Xu, W., & Zhu, M. (2018). Trivalent manganese on vacancies triggers rapid transformation of layered to tunneled manganese oxides (TMOs): Implications for occurrence of TMOs in low-temperature environment. Geochimica et Cosmochimica Acta, 240, 173–190. Cited by: 56

Tomaszewski, E. J., Lee, S., Rudolph, J., Xu, H., & Ginder-Vogel, M. (2017). The reactivity of Fe (II) associated with goethite formed during short redox cycles toward Cr (VI) reduction under oxic conditions. Chemical Geology, 464, 101–109. Cited by: 56

Xu, H., Lee, S., & Xu, H. (2017). Luogufengite: A new nano-mineral of Fe₂O₃ polymorph with giant coercive field. American Mineralogist, 102(4), 711–719. Cited by: 51

Lee, S., Xu, H., & Xu, W. (2019). The structure and crystal chemistry of vernadite in ferromanganese crusts. Structural Science, 75(4), 591–598. Cited by: 49