Pingwei Zheng | Energy | Best Researcher Award

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Prof. Dr. Pingwei Zheng | Energy | Best Researcher Award

College teachers at University of South China, China

Prof. Dr. Pingwei Zheng, a distinguished physicist at the University of South China, specializes in RF heating and current drive in magnetic confinement fusion devices, focusing on the Ohkawa mechanism and synergy effects among electron cyclotron, high harmonic fast wave, and lower hybrid current drive methods. With a Ph.D. in Nuclear Fusion and Plasma Physics from USC, he has published extensively in leading journals, including Nuclear Fusion and Physics of Plasmas. His pioneering contributions, such as developing new mechanisms for current drive and synergy effects in plasma, have significantly advanced nuclear fusion research. Dr. Zheng has led multiple research projects funded by the National Natural Science Foundation of China and other provincial initiatives, showcasing his expertise in both theoretical and computational approaches. His technical proficiency, academic leadership, and innovative work position him as a leading figure in the field, contributing meaningfully to the global pursuit of sustainable fusion energy.

Professional Profile

Education

Professor Dr. Pingwei Zheng has a robust academic foundation in physics and nuclear fusion. He earned his Bachelor’s degree in Physics from Hunan Normal University, Changsha, in 2006. Driven by a passion for advanced research, he pursued postgraduate studies at the University of South China (USC), Hengyang, where he completed his Master’s degree in 2011, specializing in nuclear fusion and plasma physics. During this time, he developed a 3D Fokker-Planck code for RF heating and current drive using Fortran, laying the groundwork for his future contributions to fusion research. Building on his expertise, he obtained his Ph.D. in Nuclear Fusion and Plasma Physics from USC in 2019. His doctoral work focused on innovative mechanisms like Ohkawa-current-driven electron cyclotron waves and synergy effects in magnetic confinement fusion. This extensive academic journey reflects Dr. Zheng’s commitment to advancing the field of plasma physics and nuclear fusion technology.

Professional Experience

Prof. Dr. Pingwei Zheng is a distinguished physicist specializing in RF heating and current drive in magnetic confinement fusion devices. Since 2011, he has been a faculty member at the University of South China (USC), where he has led groundbreaking research on the Ohkawa mechanism-dominated current drive (OKCD) of electron cyclotron waves and the synergy effects between OKCD, high harmonic fast wave (HHFW), and lower hybrid current drive (LHCD). Dr. Zheng has successfully managed two projects funded by the National Natural Science Foundation of China and several provincial and ministerial-level research initiatives. His earlier work as a postgraduate included developing a 3D Fokker-Planck code for RF heating and current drive, showcasing his technical expertise in computational physics. Over the years, he has contributed significantly to advancing nuclear fusion research through his innovative studies, impactful publications in top-tier journals, and dedication to advancing fusion energy technologies.

Research Interest

Prof. Dr. Pingwei Zheng’s research is centered on advancing the understanding and development of RF heating and current drive mechanisms in magnetic confinement fusion devices. His work focuses on electron cyclotron current drive (ECCD), high harmonic fast wave (HHFW) current drive, and lower hybrid current drive (LHCD), with particular emphasis on the Ohkawa mechanism-dominated current drive (OKCD) and its synergy effects with other RF techniques. He has conducted innovative studies on the interaction of RF waves with plasma, including the stabilization of neoclassical tearing modes and enhancing current drive efficiency in the pedestal region of high-confinement tokamak plasmas. Prof. Zheng’s contributions extend to developing numerical methods and computational tools to simulate these phenomena, such as 3D Fokker-Planck codes. His research aims to address critical challenges in achieving sustainable fusion energy, positioning his work at the forefront of plasma physics and nuclear fusion technology.

Award and Honor

Prof. Dr. Pingwei Zheng, a distinguished researcher in nuclear fusion and plasma physics, has earned recognition for his groundbreaking contributions to RF heating and current drive in magnetic confinement fusion devices. As a principal investigator, he has successfully led multiple prestigious projects funded by the National Natural Science Foundation of China and provincial and ministerial-level bodies. His innovative research on the Ohkawa mechanism-dominated current drive (OKCD) and the synergy effects between RF current drive methods has been widely acclaimed. Dr. Zheng’s prolific academic output includes publications in high-impact journals such as Nuclear Fusion and Physics of Plasmas, showcasing his expertise and influence in the field. As a professor at the University of South China, he has become a leading voice in advancing theoretical and applied research in fusion technology, earning accolades for his commitment to scientific innovation and his contributions to the global energy research community.

Conclusion

Prof. Dr. Pingwei Zheng is a distinguished researcher whose work in nuclear fusion and plasma physics demonstrates significant innovation and technical mastery. His specialized research on RF heating and current drive mechanisms, particularly the Ohkawa mechanism and synergy effects, has made valuable contributions to the advancement of magnetic confinement fusion technology. With a strong academic background, numerous publications in high-impact journals, and leadership in nationally funded projects, Dr. Zheng has established himself as a leader in his field. His expertise in computational modeling and numerical methods further enhances the practical and theoretical depth of his research. While expanding his global collaborations and highlighting broader community engagement could strengthen his profile further, Dr. Zheng’s achievements clearly reflect his dedication to addressing critical challenges in fusion energy. His contributions make him a deserving and competitive candidate for the Best Researcher Award.

Publications Top Noted

  1. Numerical investigation of electron cyclotron and electron Bernstein wave current drive in EXL-50U spherical torus
  2. Numerical study of minority ion heating scenarios in CN-H1 stellarator plasma
  3. Numerical Studies on Electron Cyclotron Resonance Heating and Optimization in the CN-H1 Stellarator
  4. Impact of hot plasma effects on electron cyclotron current drive in tokamak plasmas
  5. A full wave solver integrated with a Fokker–Planck code for optimizing ion heating with ICRF waves for the ITER deuterium–tritium plasma
  6. Evaluation of ECCD power requirement for neoclassical tearing modes suppression in the CFETR hybrid scenario
  7. Integrated simulation analysis of the HL-2M high-parameter hybrid scenario
  8. Separate calculations of the two currents driven by electron cyclotron waves
  9. Electron cyclotron current drive under neutral beam injection on HL-2M
  10. Numerical study of m = 2/n = 1 neoclassical tearing mode stabilized by the Ohkawa-mechanism-dominated current drive of electron cyclotron waves
  11. Numerical investigation of ECCD under the CFETR concept design parameters
  12. Effective current drive in the pedestal region of high-confinement tokamak plasma using electron cyclotron waves
  13. New synergy effects of the lower hybrid wave and the high harmonic fast wave current drive
  14. Simulation of plasma scenarios for CFETR phase II based on engineering design parameters
  15. Numerical investigation of a new ICRF heating scenario in D-T plasma on CFETR
  16. Simulation of the Ohkawa-mechanism- dominated current drive of electron cyclotron waves using linear and quasi-linear models

 

Ali OUBELKACEM | Energy | Best Researcher Award

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Prof. Ali OUBELKACEM | Energy | Best Researcher Award

Professor at FS/UMI, Morocco

Prof. Ali Oubelkacem is a distinguished academic in the Department of Computer Science at Université Moulay Ismail, Meknès, Morocco. He holds a Doctorate in Computer Science and a Master’s degree from INSA Lyon, specializing in Information Systems and Networks. With a career spanning over two decades, he has contributed significantly to research in material physics, magnetism, numerical scientific computing, and deep learning, particularly in energy applications. His involvement in various national and international research projects, including studies on nanostructured systems and the impact of technology on environmental issues, underscores his commitment to advancing scientific knowledge. Prof. Oubelakcem has presented at numerous international conferences and has published extensively in peer-reviewed journals, showcasing his expertise in perovskite solar cells and magnetic materials. His academic leadership is complemented by his role in training future scientists and his active participation in educational technology initiatives.

Professional Profile

Education

Prof. Ali Oubelkacem holds a robust academic background in the fields of computer science and physics. He earned his Doctorate in Science with a focus on Computer Physics from Université Moulay Ismail in 2004, achieving the distinction of Très honorable. Prior to this, he completed a Master’s Degree in Specialized Computer Science at INSA Lyon in collaboration with the École Nationale de l’Industrie Minérale in Rabat in 2005, where he specialized in Information Systems and Networks, graduating with A.Bien. His foundational education includes a Diploma in Advanced Studies in Mechanics, Energy, and Thermodynamics from Université Abdelmalek Essaâdi in Tétouan in 2000, and a Master’s Degree in Specialized Science in Mechanics from Université Cadi Ayyad in 1998, both with A.Bien. Prof. Oubelkacem’s extensive education has provided him with a solid foundation for his research and teaching career in computer science and materials physics.

Professional Experience

Prof. Ali Oubelkacem is a distinguished academic and researcher at the Département d’Informatique, Faculté des Sciences, Université Moulay Ismail in Meknès, Morocco. He has held the position of Professor of Higher Education since 2010, contributing significantly to the field of computer science. With a robust academic background, including a Doctorate in Computational Physics and a Specialized Master’s in Computer Science, he specializes in materials physics, magnetism, and deep learning applied to energy systems. His professional journey includes various roles, such as a trainer at the Institut Spécialisé Industriel de Mohammedia, where he taught modules related to information systems and networks. Prof. Oubelkacem is also an active member of several research teams and has participated in numerous national and international research projects. His involvement in organizing conferences and publishing research papers highlights his commitment to advancing knowledge in his field.

Research Interests

Prof. Ali Oubelkacem specializes in various fields of research, including the physics of materials and magnetism, scientific numerical calculations, and deep learning applications in energy domains. His work focuses on the modeling of nanostructured systems, emphasizing the magnetic properties and behavior of innovative materials. He has been actively involved in numerous national and international research projects, including the use of information and communication technologies (ICT) for the analysis and modeling of marine acidification. Prof. Oubelkacem has also explored the application of machine learning techniques to optimize photovoltaic parameters, contributing to advancements in renewable energy technologies. His extensive publication record in international journals highlights his commitment to advancing scientific knowledge in materials science, particularly in the development of perovskite solar cells and magnetic materials. Through his research, he aims to bridge theoretical concepts with practical applications, fostering innovation in both academia and industry.

Awards and Honors

Prof. Ali Oubelkacem has garnered recognition for his significant contributions to the field of computer science and material physics. He has been awarded multiple grants for his research projects, including funding for his participation in international collaborations such as the “I-WALAMAR” project with German research institutions. His dedication to academic excellence is further demonstrated through his active involvement in numerous international conferences, where he has not only presented his findings but also contributed to the advancement of knowledge in his areas of expertise. In addition to his research accomplishments, Prof. Oubelkacem is known for his commitment to teaching and mentoring students, inspiring the next generation of scientists and researchers. His work has been acknowledged through various publication accolades in reputable journals, highlighting his innovative approach in areas such as deep learning and material magnetism. These achievements underscore Prof. Oubelkacem’s stature as a leading researcher in his field.

Conclusion

Pr. Ali Oubelkacem demonstrates a robust profile as a researcher with significant contributions to the fields of material physics and informatics. His strengths in academic qualifications, professional experience, research contributions, publications, and conference engagement position him as a suitable candidate for the Best Researcher Award. By addressing areas for improvement, particularly in enhancing the societal impact of his research and expanding his collaborative efforts, he could further amplify his contributions to the scientific community. His commitment to ongoing professional development and involvement in national and international projects underscores his potential to continue making valuable contributions to his field.

Publication Top Note

  1. Effects of moringa (Moringa oleifera) leaf powder supplementation on growth performance, haematobiochemical parameters and gene expression profile of stinging catfish, Heteropneustes fossilis
    • Authors: Sharker, M.R., Hasan, K.R., Alam, M.A., Islam, M.M., Haque, S.A.
    • Year: 2024
    • Journal: Aquaculture Reports
    • Volume/Page: 39, 102388
    • Citations: 0
  2. Diversity pattern of ichthyofaunal assemblage in South-central coastal region of Bangladesh
    • Authors: Sharker, M.R., Kabir, M.A., Choi, S.D., Rahman, M.M., Shamuel, T.A.
    • Year: 2024
    • Journal: European Zoological Journal
    • Volume/Issue/Page: 91(2), pp. 830–841
    • Citations: 0
  3. Nutritional composition of available freshwater fish species from homestead ponds of Patuakhali, Bangladesh
    • Authors: Sumi, K.R., Sharker, M.R., Rubel, M., Islam, M.S.
    • Year: 2023
    • Journal: Food Chemistry Advances
    • Volume/Page: 3, 100454
    • Citations: 2
  4. Nutritional profiling of some selected commercially important freshwater and marine water fishes of Bangladesh
    • Authors: Ullah, M.R., Rahman, M.A., Haque, M.N., Islam, M.M., Alam, M.A.
    • Year: 2022
    • Journal: Heliyon
    • Volume/Issue/Page: 8(10), e10825
    • Citations: 8
  5. Non-Financial and Financial Factors Influencing the Mode of Life of the Gher Farmers from the Western Coastal Areas of Bangladesh
    • Authors: Roy, P., Choi, S.D., Nadia, Z.M., Kamrujjaman, M., Sharker, M.R.
    • Year: 2022
    • Journal: Egyptian Journal of Aquatic Biology and Fisheries
    • Volume/Issue/Page: 26(2), pp. 555–576
    • Citations: 0
  6. Twoblotch ponyfish Nuchequula blochii (Valenciennes, 1835) in the Sundarban Reserve Forest habitat of Bangladesh: Second record and establishment probability
    • Authors: Hanif, M.A., Hossen, S., Sharker, M.R., Siddik, M.A.B.
    • Year: 2021
    • Journal: Lakes and Reservoirs: Science, Policy and Management for Sustainable Use
    • Volume/Issue/Page: 26(3), e12368
    • Citations: 0
  7. Construction of a Genetic Linkage Map Based on SNP Markers, QTL Mapping and Detection of Candidate Genes of Growth-Related Traits in Pacific Abalone Using Genotyping-by-Sequencing
    • Authors: Kho, K.H., Sukhan, Z.P., Hossen, S., Jung, H.-J., Nou, I.-S.
    • Year: 2021
    • Journal: Frontiers in Marine Science
    • Volume/Page: 8, 713783
    • Citations: 8
  8. Effective accumulative temperature affects gonadal maturation by controlling expression of GnRH, GnRH receptor, serotonin receptor and APGWamide gene in Pacific abalone, Haliotis discus hannai during broodstock conditioning in hatcheries
    • Authors: Sukhan, Z.P., Cho, Y., Sharker, M.R., Rha, S.-J., Kho, K.H.
    • Year: 2021
    • Journal: Journal of Thermal Biology
    • Volume/Page: 100, 103037
    • Citations: 11
  9. Thermal Stress Affects Gonadal Maturation by Regulating GnRH, GnRH Receptor, APGWamide, and Serotonin Receptor Gene Expression in Male Pacific Abalone, Haliotis discus hannai During Breeding Season
    • Authors: Sukhan, Z.P., Sharker, M.R., Cho, Y., Choi, K.S., Kho, K.H.
    • Year: 2021
    • Journal: Frontiers in Marine Science
    • Volume/Page: 8, 664426
    • Citations: 10
  10. First record of whitespot sandsmelt, Parapercis alboguttata (Günther, 1872) from the southeast coast of Bangladesh
    • Authors: Hanif, M.A., Siddik, M.A.B., Sharker, M.R.
    • Year: 2021
    • Journal: Indian Journal of Geo-Marine Sciences
    • Volume/Issue/Page: 50(6), pp. 498–501
    • Citations: 0

 

Shunchun Yao | Energy | Best Researcher Award

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Prof. Shunchun Yao | Energy | Best Researcher Award

Prof . Shunchun Yao, South China University of Technology, China

Prof. Shunchun Yao is a distinguished professor at South China University of Technology in China. He is renowned for his contributions to his field and is an integral part of the university’s academic and research community. His expertise and leadership have significantly advanced the institution’s research capabilities and educational programs.

Profile

Education

Prof. Shunchun Yao holds a Ph.D. in Power Plant System & Control, which he obtained in June 2011 from the School of Electric Power at South China University of Technology. His doctoral research focused on advanced control systems and optimization techniques for power plants, contributing significantly to the field of electric power engineering. Prior to this, Prof. Yao earned his Bachelor’s degree in Thermal and Dynamic Engineering from the School of Physics at Soochow University in June 2006. His undergraduate studies provided a solid foundation in the principles of thermodynamics and fluid mechanics, essential for understanding and improving thermal systems. Throughout his academic journey, Prof. Yao has demonstrated a strong commitment to advancing knowledge in power systems and control engineering, laying the groundwork for his successful career in academia and research. His educational background reflects a blend of theoretical expertise and practical skills, making him a distinguished figure in his field.

Professional Experience

Prof. Shunchun Yao is a distinguished professor at South China University of Technology, China. He earned his Ph.D. in Power Plant System & Control in June 2011 from the School of Electric Power at South China University of Technology and holds a B.D. in Thermal and Dynamic Engineering from the School of Physics at Soochow University, obtained in June 2006. Prof. Yao has made significant contributions to the scientific community, supported by prestigious talent programs such as the Talent Program for Young Scientists of LIBS (2017), Guangdong province’s high-level personnel special support program (2015), the Pearl River S&T Nova Program of Guangzhou (2014), and the Outstanding Youth Innovative Talents of Higher Learning Institutions of Guangdong (2012). He actively serves as a member of the LIBS committee of the Chinese Society for Optical Engineering and the Tanpuhui expert committee in Guangdong, showcasing his dedication to advancing scientific research and innovation.

Project Management (as Project Manager)

Prof. Shunchun Yao has led numerous significant projects, showcasing his expertise in power plant systems, control, and environmental measurement technologies. His notable projects include the National Natural Science Foundation of China-funded studies on spark-induced plasma spectroscopy of particle flow and unburned carbon in fly ash (2017-2020) and laser plasma characteristics for coal particle flow measurement (2013-2015). Additionally, he contributed to the Guangdong province train high-level personnel special support program (2015-2018) and the Science and Technology Project of Guangdong Province, focusing on online measurement technology for PM2.5 and heavy element emissions from stationary sources (2016-2018). His work in the Pearl River S&T Nova Program of Guangzhou (2014-2017) and collaborations with Shunde Inspection Institute (2016-2019) and Zhuhai coal-fired power plant (2017-2019) further emphasize his contributions. Prof. Yao also secured funding from the Guangdong Natural Science Foundation (2012-2014) and the Fundamental Research Funds for the Central Universities for studies on plasma characteristics of coal and NOx distribution optical sensors (2014-2015, 2018-2020). His leadership and dedication have significantly impacted environmental measurement technologies.

Research Focus

Professor Shunchun Yao is a leading expert in the field of clean energy utilization and thermal systems optimization. His work focuses on developing innovative solutions to improve energy efficiency and reduce emissions in various thermal systems. By leveraging advanced combustion diagnosis techniques, Professor Yao is able to identify and address inefficiencies in combustion processes, leading to more sustainable and environmentally friendly energy use. His research also includes emission monitoring, where he develops and implements cutting-edge technologies to accurately measure and control pollutants released from combustion systems. Through his comprehensive approach, Professor Yao contributes significantly to the advancement of clean energy technologies, ensuring that thermal systems operate at optimal performance while minimizing their environmental impact. His work is instrumental in the global effort to transition towards sustainable energy solutions, making him a prominent figure in the field of energy research and environmental protection.

Award

Prof. Shunchun Yao has garnered numerous accolades for his exceptional contributions to science and technology. In 2017, he was honored with the Young Scientist of LIBS award under the Talent Program for Young Scientists, recognizing his groundbreaking work in the field. His remarkable contributions to high-level personnel training earned him a spot in the Guangdong Province High-Level Personnel Special Support Program in 2015. Further cementing his status as a leading scientist, Prof. Yao was awarded the Pearl River S&T Nova Program of Guangzhou in 2014, acknowledging his significant scientific and technological achievements. His commitment to innovation and higher education was recognized early on when he was named one of the Outstanding Youth Innovative Talents of Higher Learning Institutions of Guangdong in 2012. These prestigious awards reflect Prof. Yao’s sustained dedication to advancing scientific research and fostering innovation, underscoring his influential role in the academic and scientific communities.

Publication Top Notes

  1. “Multi-parameter co-optimization for NOx emissions control from waste incinerators based on data-driven model and improved particle swarm optimization”
    • Authors: Li, Z., Yao, S., Chen, D., Liu, W., Yu, Z.
    • Year: 2024
    • Citations: 0
  2. “Development of laser-induced breakdown spectroscopy based spectral tandem technology: A topical review”
    • Authors: Yao, S., Yu, Z., Hou, Z., Wang, Q., Wang, Z.
    • Year: 2024
    • Citations: 0
  3. “Simultaneous measurement of NH3 and NO by mid-infrared tunable diode laser absorption spectroscopy based on machine-learning algorithms”
    • Authors: Guo, S., Li, Z., Liu, Z., Ren, W., Yao, S.
    • Year: 2024
    • Citations: 0
  4. “Research of Plasma Spectrum Diagnosis and Quantitative Analysis for Coal Powder Flow”
    • Authors: Qin, H., Yao, S., Yu, Z., Dong, M., Lu, J.
    • Year: 2024
    • Citations: 0
  5. “Defect Engineering of Nanocrystal-In-Glass Composites for Ultrashort Optical Pulse Monitoring”
    • Authors: Lin, Q., Lin, X., Feng, X., Qiu, J., Zhou, S.
    • Year: 2024
    • Citations: 0
  6. “Research on etalon-free CO2 measurement based on direct absorption signal fitting”
    • Authors: Yang, Y., Guo, S., Li, J., Zhang, X., Yao, S.
    • Year: 2024
    • Citations: 0
  7. “Quantum cascade laser absorption sensor for in-situ, real-time and sensitive measurement of high-temperature SO2 and SO3”
    • Authors: Duan, K., Wen, D., Ji, Y., Yao, S., Ren, W.
    • Year: 2024
    • Citations: 1
  8. “Application and Analysis of Multi-Component Simultaneous Measurement of Forest Combustibles Pyrolysis Gas Based on TDLAS”
    • Authors: Guo, S.-J., Wang, L.-P., Chen, J.-Z., Lu, Z.-M., Yao, S.-C.
    • Year: 2024
    • Citations: 0
  9. “Modelling nitrogen oxide emission trends from the municipal solid waste incineration process using an adaptive bi-directional long and short-term memory network”
    • Authors: Li, Z., Yao, S., Chen, D., Lu, Z., Yu, Z.
    • Year: 2024
    • Citations: 1
  10. “Current situation and prospect of machine learning-driven boiler combustion optimization technology”
    • Authors: Yao, S., Li, L., Lu, Z., Li, Z.
    • Year: 2024
    • Citations: 0