Prof. Zhen Xu | Materials Awards | Best Researcher Award

Prof. Zhen Xu | Materials Awards | Best Researcher Awardย ย 

Prof. Zhen Xu, Zhejiang University, China

Dr. Zhen Xu is a Research Professor in the Department of Polymer Science and Engineering at Zhejiang University. He earned his Ph.D. in 2013 from Zhejiang University and subsequently conducted postdoctoral research at both Zhejiang University (2013โ€“2015) and the Cambridge Graphene Center at the University of Cambridge (2015โ€“2016). Since 2017, he has been actively engaged in academic and research activities at Zhejiang University. Dr. Xu’s research focuses on the chemistry of graphene, two-dimensional macromolecular behavior, graphene liquid crystals, the macroscopic assembly of graphene, and the development of novel functional materials. His work contributes significantly to the advancement of nanomaterials and polymer science.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award: Dr. Zhen Xu

Dr. Zhen Xu is a distinguished researcher whose pioneering work in polymer science, graphene chemistry, and 2D materials marks him as a highly deserving candidate for the Best Researcher Award. His academic progression, international research exposure, and impactful contributions to the field of advanced functional materials underscore his excellence.

๐ŸŽ“ Education

  • Ph.D. in Polymer Science and Engineering
    Zhejiang University, China (2013)
    ๐Ÿงช Specialized in polymer chemistry and graphene research

๐Ÿ’ผ Work Experience

  • Postdoctoral Researcher
    ๐Ÿ”ฌ Zhejiang University (2013โ€“2015)

  • Postdoctoral Researcher
    ๐Ÿ“ Cambridge Graphene Center, University of Cambridge (2015โ€“2016)

  • Research Professor
    ๐Ÿ›๏ธ Department of Polymer Science and Engineering, Zhejiang University (Since 2017)

๐Ÿงฌ Research Areas & Achievements

  • โš›๏ธ Graphene Chemistry & Functionalization

  • ๐Ÿ“„ 2D Macromolecular Behavior & Liquid Crystals

  • ๐Ÿงฉ Macroscopic Assembly of Graphene

  • ๐ŸŒŸ Development of New Functional Materials

Dr. Xu has contributed significantly to the field of advanced materials through high-impact research, collaborations, and innovations in graphene-based systems. His work bridges the gap between molecular design and large-scale applications.

๐Ÿ† Awards & Honors

While specific awards are not listed in the original content, based on his profile and affiliations, he is likely recognized through:

  • ๐Ÿ“š Publications in high-impact journals

  • ๐ŸŒ International research fellowships (e.g., at Cambridge University)

  • ๐Ÿฅ‡ Contributions to the advancement of 2D materials and polymer science

Publicationย Top Notes:

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Dr. Muhammad Asim | Materials | Best Researcher Award

Dr. Muhammad Asim | Materials | Best Researcher Awardย 

Dr. Muhammad Asim, Shandong Lead Chemicals Co Limited, China

Dr. Muhammad Asim is a chemical engineer with a Ph.D. in Chemical Engineering from Tianjin University, China, where he specialized in heterogeneous catalysis for hydrogen production under the supervision of Prof. Ji-Jun Zou. His doctoral research focused on charge polarization in noble metal and metal phosphide catalysts for hydrogen evolution from ammonia-borane hydrolysis. He also holds a Masterโ€™s degree from Karlstad University, Sweden, and a Bachelor’s in Chemical Engineering from the University of the Punjab, Pakistan. With over a decade of experience in academia and industry, Dr. Asim has worked extensively in the synthesis of thermoplastic polyurethane elastomers, water-based inks, and silicon carbide composites. He currently serves as an R&D Engineer at Shandong Lead Chemicals Co., Ltd., in China. His research interests include thermoplastic elastomer development, heterogeneous catalysis, reaction kinetics, and sustainable hydrogen production. Dr. Asim is skilled in a variety of chemical analysis techniques and engineering software, and has hands-on experience with both polymer synthesis and materials testing.

Professional Profile:

ORCID

SCOPUS

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Summary of Suitability for Best Researcher Award:

Dr. Muhammad Asim is a highly accomplished chemical engineering researcher with a proven track record of impactful research and industrial application. With a Ph.D. from Tianjin University and a masterโ€™s from Karlstad University, his academic credentials span top-tier institutions in China and Europe. His research expertise lies in heterogeneous catalysis, hydrogen production, thermoplastic polyurethane (TPU) synthesis, and reaction kineticsโ€”fields critical to sustainable energy and advanced materials.

๐ŸŽ“ Education

  • Ph.D. in Chemical Engineering (2019โ€“2023)
    ๐Ÿซ Tianjin University, China
    ๐Ÿงช Thesis: Stimulating charge polarization of noble metal and metal phosphide-based catalysts for hydrogen evolution from ammonia-borane hydrolysis
    ๐Ÿ‘จโ€๐Ÿซ Supervisor: Prof. Ji-Jun Zou

  • MS in Chemical Engineering (2010โ€“2012)
    ๐Ÿซ Karlstad University, Sweden
    ๐ŸŒฒ Thesis: Effect of prehydrolysis prior to Kraft cooking on Swedish spruce wood
    ๐Ÿ‘จโ€๐Ÿซ Supervisor: Prof. Ulf Germgard

  • B.Sc. in Chemical Engineering (2003โ€“2007)
    ๐Ÿซ University of the Punjab, Pakistan
    ๐Ÿญ Thesis: Design of COโ‚‚ absorption and stripping section of ammonia plant (815 tons/day) to produce Hโ‚‚-free COโ‚‚

๐Ÿ’ผ Work Experience

  • 2025โ€“Present
    ๐Ÿ”ฌ R&D Engineer โ€“ TPU Elastomers
    ๐Ÿข Shandong Lead Chemicals Co., Ltd, China
    ๐Ÿงต Focus: Flame-retardant & self-healing TPU synthesis

  • 2024โ€“2025
    ๐Ÿ–Œ R&D Engineer โ€“ Water-based Inks
    ๐Ÿข Linyi Linbang New Materials Co., Ltd, China

  • 2023โ€“2024
    โš™๏ธ Research Associate โ€“ SiC Ceramics & Carbon Fiber Effects
    ๐Ÿข Shantian Abrasive Co. Ltd, China

  • 2013โ€“2019
    ๐ŸŽ“ Lecturer โ€“ Chemical Engineering
    ๐Ÿซ Sharif College & National Textile University, Pakistan

  • 2008โ€“2010
    ๐Ÿญ Shift Engineer โ€“ Fertilizer Plants
    ๐Ÿข Riches & Suraj Fertilizer Co. Ltd, Pakistan

๐Ÿ† Achievements & Honors

  • ๐ŸŽ– Developed novel flame-retardant and self-healing TPU materials

  • ๐Ÿงช Synthesized water-based inks tailored for decorative paper

  • โš—๏ธ Optimized catalysts for hydrogen production via ammonia-borane hydrolysis

  • ๐Ÿ” Contributed to particle size optimization in reaction bonded SiC ceramics

  • ๐Ÿ‘ฅ Led collaborations between industry and academic research teams

  • ๐Ÿ“š Former lecturer at prestigious engineering institutions in Pakistan

Publicationย Top Notes:

Luminous polystyrene upconverted nanoparticles to visualize the traces of nanoplastics in a vegetable plant

Ligand-regulated Ni-based coordination compounds to promote self-reconstruction for improved oxygen evolution reaction

Near-infrared driven photocatalytic hydrogen production from ammonia borane hydrolysis using heterostructure-upconverted nanoparticles

Pt@Ni2P/C3N4 for charge acceleration to promote hydrogen evolution from ammonia-borane

Self-Supported Pt@Ni<sub>2</sub>P for Controllable Hydrogen Release from Ammonia-Borane Hydrolysis

Pt loading to promote hydrogen evolution from ammonia-borane hydrolysis of Ni2P under visible light

Synergetic effect of Au nanoparticles and transition metal phosphides for enhanced hydrogen evolution from ammonia-borane

 

Prof. Xianxian Wang | Barkhausen Noise | Best Researcher Award

Prof. Xianxian Wang | Barkhausen Noise | Best Researcher Award

Prof. Xianxian Wang, Beijing Polytechnic University, Mechanical and Electrical Engineering Institute, China

Dr. Xianxian Wang is a lecturer at Beijing University of Technology, specializing in intelligent sensor detection technology and structural health monitoring instrumentation. His research focuses on advancing non-destructive testing methods, particularly through micro-magnetic techniques and intelligent modeling. He has published over 10 research papers in journals such as Journal of Nondestructive Testing and Measurement Science and Technology, and contributed to the drafting of three group standards. Dr. Wang holds a Ph.D. and Masterโ€™s degree in Instrument Engineering from Beijing University of Technology, and a Bachelor’s degree in Electronic Information Engineering from Shandong University of Technology. His notable research achievements include the development of high-resolution Barkhausen noise microimaging techniques and neural network-based models for quantifying mechanical properties of ferromagnetic materials. These innovations have been applied in manufacturing settings, enhancing product quality and reliability. Dr. Wang has also received several honors, including the Third Prize of the Shandong Province Machinery Industry Science and Technology Progress Award and top distinctions in national equipment manufacturing industry competitions.

Professional Profile:

ORCID

Summary of Suitability:

Dr. Wang Xianxian, a lecturer at Beijing University of Technology, stands out as a dynamic and promising researcher in the fields of intelligent sensor testing and structural health monitoring technologies. His innovative contributions to non-destructive testing and intelligent instrumentation, along with practical industrial applications, make him a highly suitable candidate for the Best Researcher Award.

๐ŸŽ“ Education Background

  • 2019.09 โ€“ 2024.01
    ๐Ÿ“ Ph.D., Beijing University of Technology
    ๐Ÿงช Focus: Intelligent Sensor Testing & Structural Health Monitoring

  • 2016.09 โ€“ 2019.06
    ๐Ÿ“ M.Sc., Instrument Engineering, Beijing University of Technology

  • 2010.09 โ€“ 2014.07
    ๐Ÿ“ B.Eng., Electronic Information Engineering, Shandong University of Technology

๐Ÿ’ผ Work Experience

  • Lecturer, Beijing University of Technology
    ๐Ÿ“Œ Teaches courses such as:

    • Sensors and Visual Inspection

    • Intelligent Robot Design and Fabrication

    • Small Electronic Product Design and Manufacturing

๐Ÿง  Research Achievements

  • ๐Ÿงฒ Developed Barkhausen noise microimaging techniques for high-resolution residual stress imaging in ferromagnetic materials.

  • ๐Ÿ› ๏ธ Created micromagnetic non-destructive testing instruments to assess mechanical properties (hardness, strength, elongation) using neural networks.

  • ๐Ÿค– Proposed an intelligent modeling strategy based on โ€œclassification then regressionโ€ and adaptive transfer learning to improve robustness in non-uniform data scenarios.

๐Ÿ† Honors & Awards

  • ๐Ÿฅ‰Third Prize, Shandong Province Machinery Industry Science and Technology Progress Award

  • ๐Ÿฅ‡ First Prize, Second National Equipment Manufacturing Industry Skills Competition

  • ๐Ÿ…Excellent Coach, Second National Equipment Manufacturing Industry Skills Competition

Publicationย Top Notes:

Micromagnetic and Quantitative Prediction of Yield and Tensile Strength of Carbon Steels Using Transfer Learning Method

Quantitative Prediction of Surface Hardness in Cr12MoV Steel and S136 Steel with Two Magnetic Barkhausen Noise Feature Extraction Methods

Micromagnetic and quantitative prediction of yield strength and tensile strength in DP590 steels based on ReliefF + Clustering feature selection method

Micromagnetic and Robust Evaluation of Surface Hardness in Cr12MoV Steel Considering Repeatability of the Instrument

Surface Decarburization Depth Detection in Rods of 60Si2Mn Steel with Magnetic Barkhausen Noise Technique

Micromagnetic and Quantitative Prediction of Surface Hardness in Carbon Steels Based on a Joint Classification-Regression Method

FilterNet: A deep convolutional neural network for measuring plastic deformation from raw Barkhausen noise waveform