Fuqiang Huang | Energy| Best Researcher Award

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Ā Prof. Fuqiang Huang | Energy | Best Researcher Award

 

šŸ‘Øā€šŸ«Professional SummaryĀ šŸŒŸ

Chair Professor Dr. Fuqiang Huang, a leading figure in inorganic solid-state chemistry and new energy materials at Shanghai Jiao Tong University. šŸ“š With 600+ impactful publications, including in prestigious journals like Science and Nat. Mater., and an impressive H-factor of 92. Ā Recognized with multiple awards, such as the National Natural Science Award (2017) and Shanghai Natural Science Award (2016, 2019). Ā Renowned for groundbreaking research, his work on “double high” energy storage materials has far-reaching applications in water purification, photovoltaic energy, and energy storage. Ā A key player in shaping China’s scientific landscape, contributing to major projects and holding influential positions. #MaterialsScience #EnergyInnovation šŸš€

šŸŒ Professional Profiles

šŸŽ“ Academic Leadership

Head of the Innovation Team in key fields of the Ministry of Science and Technology. Chief Scientist of key projects of the Science and Technology Commission. Chief Scientist of the National Key R&D Program.

šŸ“š Research Output

Published 600+ high-impact papers in renowned journals such as Science, Nat. Mater., Nat. Phys., J. Am. Chem. Soc., etc. H-index of 92 and over 35,000 citations. Multiple appearances as a highly cited scientist globally.

šŸ† Honors and Awards

Second prize of National Natural Science Award (2017). First prize of Shanghai Natural Science Award (2016, 2019). Recognition as a leading figure in national and international scientific and technological innovation programs.

šŸ”¬ Research Focus

  • Inorganic solid-state chemistry.
  • Energy material and device research.

šŸŒ Global Recognition

Selected into the National Fund for Distinguished Young Scholars. Recognized as a leading talent in scientific and technological innovation in the “Ten Thousand Talents Program.” Part of the National One Million Talents Project.

šŸ’” Key Contributions

Proposed theoretical models like “double structure-functional regions” and “packing factor” for solid-state chemical design. Developed new compound systems used in photocatalysis, optoelectronics, energy storage, and superconductors. Pioneering discovery of “double high” few layered carbon electrode, acknowledged by Nobel Prize winner Prof. Goodenough. Application of new materials in water purification, photovoltaic energy, and “double high” energy storage.

šŸŒŸ Industrial Impact

Black TiO2 material used for water purification in multiple regions. Low-cost non-vacuum method for manufacturing high-efficiency solar cells. “Double high” energy storage devices with exceptional energy and power density, surpassing international benchmarks.

šŸ… Competition Recognition

Achievements listed in the “important scientific research progress” of the Science and Technology Commission in 2020. Included in the “Innovation China” pilot technology list of the China Association for Science and Technology in 2020. Among the top four in the national civil-military high power device comparison and test competition.

šŸ“šTop Noted Publication

Nitrogen-doped mesoporous carbon of extraordinary capacitance for electrochemical energy storage Paper Published in 2015 Cited by 1920

Black titanium dioxide (TiO 2) nanomaterials Paper Published in 2015 Cited by 1274

Study of the electronic structure and photocatalytic activity of the BiOCl photocatalyst Paper Published in 2006 Cited by 1190

Hā€doped black titania with very high solar absorption and excellent photocatalysis enhanced by localized surface plasmon resonance Paper Published in 2016 Cited by 693

Visible-light photocatalytic, solar thermal and photoelectrochemical properties of aluminium-reduced black titania Paper Published in 2013 Cited by 677

Improvedā€performance dyeā€sensitized solar cells using Nbā€doped TiO2 electrodes: efficient electron injection and transfe Paper Published in 2010 Cited by 592

Core-shell nanostructured ā€œblackā€ rutile titania as excellent catalyst for hydrogen production enhanced by sulfur doping Paper Published in 2013 Cited by 451

Black TiO2 nanotube arrays for high-efficiency photoelectrochemical water-splitting Paper Published in 2014 Cited by 393

Effective nonmetal incorporation in black titania with enhanced solar energy utilization Paper Published in 2014 Cited by 393

Origin of strong excitation wavelength dependent fluorescence of graphene oxide Paper Published in 2014 Cited by 388

Photocatalytic activities of heterojunction semiconductors Bi2O3/BaTiO3: a strategy for the design of efficient combined photocatalysts Paper Published in 2007 Cited by 387

A wide-band-gap p-type thermoelectric material based on quaternary chalcogenides of Cu2ZnSnQ4 (Q= S, Se) Paper Published in 2009 Cited by 361

 

Muyangzi Lin | energy economics | Best Researcher Award

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Muyangzi Lin | energy economics | Best Researcher Award

 

šŸ‘Øā€šŸ« šŸŒ¾

Muyangzi Lin, a 31-year-old researcher and lecturer based in Changsha, China, has established himself as a notable figure in the fields of energy economics and machine learning. šŸŒ His academic journey includes obtaining a graduate degree in Statistics from the Institute of Mathematics and Statistics at Central South University. Lin’s research focus spans hybrid forecasting frameworks for crude oil prices, fault diagnosis methodologies using deep neural networks, and innovative approaches for lithium battery fault detection in electric vehicles.

Lin’s significant contributions are reflected in his published works, including articles in prestigious journals such as IEEE Access and the Journal of Computing and Information Science in Engineering. šŸ“š His commitment to academic excellence has earned him the 2016 National Scholarship for Graduate Students and the Second Prize at the Hunan Management Science Society Conference in 2020.

Currently serving as a lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics, Lin actively contributes to national research projects. His work encompasses the integrated optimization of large-scale project scheduling and material supply, demonstrating his expertise in navigating complex and uncertain environments. šŸš€ Muyangzi Lin’s multidisciplinary research endeavors showcase his dedication to advancing knowledge at the intersection of statistics, machine learning, and energy economics. šŸ’”

šŸŒ Professional Profiles

Current Position

Lecturer, School of Information Technology and Management, Hunan University of Finance and Economics (July 2023 – Present)

Scientific Achievements

šŸ† Second prize of Hunan Management Science Society Conference in 2020. šŸŽ“ 2016 National scholarship for graduate students

šŸŽ“Education

Graduate Student at Institute of Mathematics and Statistics, Central South University (September 2018 – July 2023) – Statistics. Graduate Student at Institute of Mathematics and Statistics, Central South University (September 2015 – June 2018) – Statistics. Ā Bachelor’s Degree in Finance, Shuda Institute of Hunan Normal University (September 2010 – June 2014)

šŸ“ŠResearch Experience

National Natural Science Foundation of China, Surface Project (72071075): Integrated optimization of large-scale project scheduling and material supply in Complex and uncertain Environment. Duration: 2021/01/01-2024/12/31. šŸ‘„ Role: In research, participation. Hunan Province Key Research and Development Plan Project (2023GK2011): EDA tool research and development for chip security. Role: In research, participation.

šŸ’”Research Interests

Energy Economics Ā Machine Learning , Prognosis and Health Management,Ā Ā Modeling

 

šŸ“šTop Noted Publication

“A hybrid crude oil price forecasting framework: Modified ensemble empirical mode decomposition and hidden Markov regression.”

 

“A data-driven fault diagnosis method using modified health index and deep neural networks of a rolling bearing.”

 

“A Hybrid Multiscale Permutation Entropy-Based Fault Diagnosis and Inconsistency Evaluation Approach for Lithium Battery of E-Vehicles.”

 

“Exploration of the hierarchy and dynamic mechanism of technological innovation.”