Xiao-Hong | Organic synthesis methodology | Best Researcher Award

Prof. Xiao-Hong | Organic synthesis methodology | Best Researcher Award

Professor at Wei College of Chemical Engineering, China

Xiao-Hong Wei is a respected professor at Northwest Minzu University, where he specializes in organic chemistry. His research is focused on innovative synthetic methods for forming carbon-phosphorus (C-P) and C-heteroatom bonds. With a strong academic background and a commitment to advancing organic synthesis methodology, Dr. Wei has made significant contributions that have implications for both academic research and practical applications in chemistry.

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ORCID Profile

Dr. Wei’s work has resulted in a citation index of 6, indicating the relevance and impact of his research within the field of organic chemistry. This metric reflects not only the quality of his publications but also his influence on subsequent research by peers in the scientific community.

Dr. Xiaohong Wei has accumulated a total of 132 citations across 116 documents, reflecting his impactful contributions to the field of organic chemistry. He has authored 20 documents, showcasing his active engagement in research. His h-index is 7, indicating that at least seven of his publications have received seven or more citations each. These metrics highlight his influence and recognition within the academic community.

Education

Dr. Wei completed his Ph.D. in Organic Chemistry at Lanzhou University from September 2012 to July 2015. His education provided him with a solid foundation in chemical principles and research methodologies, which he has since applied to his academic and professional endeavors.

Research Focus

His research primarily revolves around the development of selective and efficient methods for forming C-P and C-heteroatom bonds. By innovating in organic synthesis, Dr. Wei aims to improve the efficiency and selectivity of chemical reactions, with applications in pharmaceuticals and materials science.

Professional Journey

Dr. Wei began his career as an Associate Professor at Northwest Minzu University, where he served from September 2015 until December 2022. In January 2023, he was promoted to Professor, a role that reflects his expertise and contributions to the field of organic chemistry, as well as his leadership in research initiatives.

Publications Noted & Contributions

Among Dr. Wei’s notable contributions is the development of an acid-promoted difunctionalization method for ketones, which facilitates the formation of C-P and C-C bonds in an environmentally friendly manner. This innovative approach not only improves synthetic efficiency but also enables the synthesis of valuable compounds, showcasing the practical significance of his research.

Lewis Acid-Catalyzed Phosphinoylation and Halogenation of α,β-Unsaturated Ketones:

Published: 2024 in Organic Chemistry Frontiers

DOI: 10.1039/D4QO00748D

Highlights: This study explores the synthesis of γ-halo allylic phosphonates through Lewis acid catalysis, showcasing the potential of α,β-unsaturated ketones in these transformations.

Lewis-Acid-Catalyzed Phosphorylation of Alcohols:

Published: 2024 in RSC Advances

DOI: 10.1039/D3RA08214H

Highlights: This article details a method for the efficient phosphorylation of alcohols using Lewis acid catalysts, contributing to the development of more versatile synthetic strategies.

Acid-Promoted Multicomponent Reaction to Synthesize 4-Phosphorylated 4H-Chromenes:

Published: 2024 in The Journal of Organic Chemistry

DOI: 10.1021/acs.joc.4c00454

Highlights: This research presents a multicomponent reaction approach for synthesizing 4-phosphorylated 4H-chromenes, emphasizing the utility of acid-promoted conditions in complex molecule construction.

An Efficient Direct Phosphinylation and Alkylation of Ketones:

Published: 2023 in Organic Chemistry Frontiers

DOI: 10.1039/D2QO01749K

Highlights: This paper discusses a direct method for the phosphinylation and alkylation of ketones, enabling the synthesis of α,α-disubstituted γ-ketophosphine oxides.

Three-Component Direct Phosphorylation of Aldehydes and Alkylation of Ketones:

Published: 2023 in The Journal of Organic Chemistry

DOI: 10.1021/acs.joc.3c01674

Highlights: This study outlines a three-component reaction strategy for the direct phosphorylation of aldehydes and subsequent alkylation of ketones, aiming to synthesize γ-ketophosphine oxides efficiently.

Research Timeline

Dr. Xiao-Hong Wei completed his Ph.D. in Organic Chemistry at Lanzhou University from September 2012 to July 2015, laying the groundwork for his academic career. He then served as an Associate Professor at Northwest Minzu University from September 2015 to December 2022, where he focused on advancing research in organic synthesis. In January 2023, he was appointed as a Professor at the same institution, reflecting his expertise and contributions to the field. Notably, in 2023, Dr. Wei published significant research findings in Organic Chemistry Frontiers, further establishing his presence in the academic community.

Conclusion

Xiao-Hong Wei’s expertise in organic chemistry and dedication to research innovation have established him as a prominent figure in his field. His work on synthetic methodologies advances both academic knowledge and practical applications, making him a valuable contributor to the scientific community.

Elaheh Yaghoubi | Reaction Mechanisms | Women Researcher Award

Dr. Elaheh Yaghoubi | Reaction Mechanisms | Women Researcher Award

Doctorate at Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, where she has achieved a perfect GPA of 4.0. Her research centers on power system analysis, microgrids, and renewable energy, showcasing her commitment to advancing smart grid technologies. With a robust background in electrical engineering, Elaheh combines academic excellence with practical experience in quality control and web development.

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Google Scholar Profile

Elaheh has several publications under review, showcasing her contributions to the fields of power systems and control strategies. Her works have been recognized for their innovation, particularly in model predictive control and the application of machine learning in smart grids, highlighting her emerging impact in the research community.

  • Citations: Elaheh has accumulated a total of 77 citations, with 75 citations since 2019, indicating a strong and growing influence in her field.
  • h-index: Her h-index is 6, reflecting that she has six publications that have each been cited at least six times, showcasing her impactful contributions to research.
  • i10-index: Elaheh holds an i10-index of 4, meaning she has at least four publications with ten or more citations each, highlighting her ability to produce significant and recognized research outputs.

Education

Elaheh’s academic journey is marked by exceptional achievements: she is currently pursuing her Ph.D. at Karabuk University (2021-present) with a focus on optimal power control, following her M.Sc. from Islamic Azad University (2016-2018) and a B.Sc. from Aryan Institute of Science and Technology (2012-2014), both with a GPA of 4.0. Her strong educational foundation supports her research ambitions in advanced electrical engineering topics.

Research Focus

Her research primarily explores power system stability, microgrid management, and renewable energy integration. Elaheh is particularly interested in model predictive control (MPC) and the application of artificial intelligence techniques, such as machine learning and deep learning, to enhance the efficiency and reliability of smart grids.

Professional Journey

Elaheh’s professional experience includes roles as a Principal Researcher in the PEDAR Group and as a Senior Manager in multiple electronics companies. She has also contributed as a website designer, where she combined her engineering background with web development skills. This diverse experience reflects her capability to integrate technical expertise with managerial responsibilities.

Honors & Awards

She has received the Best Researcher Award, underscoring her dedication to excellence in her research endeavors. This recognition highlights her contributions to innovative solutions in electrical engineering, particularly in the context of microgrids and smart grids.

Publications Noted & Contributions

Elaheh has several publications in reputable journals, focusing on real-time operations in microgrids, model predictive control, and power system risk analysis. Her work aims to push the boundaries of traditional methods, integrating advanced technologies to address contemporary challenges in electrical engineering.

1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

  • Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, D. Razmi, T. Lu
  • Journal: Engineering Applications of Artificial Intelligence
  • Publication Year: 2024
  • Summary: This publication presents a comprehensive review and meta-analysis of various machine learning techniques applied to predict electric vehicle (EV) charging behavior. By synthesizing existing studies, it provides insights into the effectiveness and reliability of different algorithms, serving as a valuable resource for future research in EV infrastructure and smart grid integration.

2. A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in the field of geotechnical engineering

  • Authors: E. Yaghoubi, E. Yaghoubi, A. Khamees, AH Vakili
  • Journal: Neural Computing and Applications
  • Publication Year: 2024
  • Summary: This paper explores the application of advanced computational methods in geotechnical engineering. By evaluating the performance of neural networks and other machine learning techniques, it highlights their potential to improve predictive accuracy in engineering applications, thus contributing to enhanced design and safety standards.

3. Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller

  • Authors: Z. Yusupov, E. Yaghoubi, E. Yaghoubi
  • Conference: 14th International Conference on Electrical and Electronics Engineering
  • Publication Year: 2023
  • Summary: This conference paper discusses a fuzzy neural controller designed to optimize the power output of photovoltaic systems. By effectively managing the maximum power point tracking (MPPT), this research contributes to the efficiency of solar energy systems, which is crucial for integrating renewable sources into the grid.

4. Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station

  • Authors: Z. Yusupov, N. Almagrahi, E. Yaghoubi, E. Yaghoubi, A. Habbal, D. Kodirov
  • Conference: World Conference on Intelligent System for Industrial Automation
  • Publication Year: 2022
  • Summary: This paper presents a model for decentralized microgrids that incorporates renewable energy sources and EV charging stations. The research emphasizes control strategies that enhance the reliability and sustainability of microgrid operations, aligning with the growing need for green energy solutions.

5. Real-time techno-economical operation of preserving microgrids via optimal NLMPC considering uncertainties

  • Authors: E. Yaghoubi, E. Yaghoubi, Z. Yusupov, J. Rahebi
  • Journal: Engineering Science and Technology, an International Journal
  • Publication Year: 2024
  • Summary: This study focuses on a novel non-linear model predictive control (NLMPC) approach for the real-time management of microgrids. By considering uncertainties, it aims to optimize techno-economic performance, thus enhancing the operational resilience and economic viability of microgrid systems.

Research Timeline

Elaheh’s research timeline includes her current Ph.D. work from 2021 onwards, with key publications submitted and under review throughout 2024. This timeline indicates her active engagement in research and continuous contributions to the field, aiming to establish a strong foundation for future innovations.

Conclusion

Dr. Elaheh Yaghoubi’s achievements as a Ph.D. candidate at Karabuk University exemplify her dedication to advancing the field of electrical engineering, particularly in power systems and renewable energy. Her innovative research, marked by significant contributions and a strong academic background, has earned her recognition as the Best Researcher. While there are areas for improvement, such as expanding her publication reach and enhancing collaboration efforts, her trajectory suggests a promising future in research. As she continues to push the boundaries of smart grid technologies, Elaheh is poised to make lasting impacts in her field and contribute to sustainable energy solutions.