Prof. Xianxian Wang | Barkhausen Noise | Best Researcher Award

Posted on by ScienceFather

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 Master’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.

🎓 Education Background

  • 2019.09 – 2024.01
    📍 Ph.D., Beijing University of Technology
    🧪 Focus: Intelligent Sensor Testing & Structural Health Monitoring

  • 2016.09 – 2019.06
    📍 M.Sc., Instrument Engineering, Beijing University of Technology

  • 2010.09 – 2014.07
    📍 B.Eng., Electronic Information Engineering, Shandong University of Technology

💼 Work Experience

  • Lecturer, Beijing University of Technology
    📌 Teaches courses such as:

    • Sensors and Visual Inspection

    • Intelligent Robot Design and Fabrication

    • Small Electronic Product Design and Manufacturing

🧠 Research Achievements

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

  • 🛠️ Created micromagnetic non-destructive testing instruments to assess mechanical properties (hardness, strength, elongation) using neural networks.

  • 🤖 Proposed an intelligent modeling strategy based on “classification then regression” and adaptive transfer learning to improve robustness in non-uniform data scenarios.

🏆 Honors & Awards

  • 🥉Third Prize, Shandong Province Machinery Industry Science and Technology Progress Award

  • 🥇 First Prize, Second National Equipment Manufacturing Industry Skills Competition

  • 🏅Excellent Coach, Second National Equipment Manufacturing Industry Skills Competition

Publication 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

Dr. Muhammad Rashid | Computational Material | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Rashid | Computational Material | Best Researcher Award 

Dr. Muhammad Rashid, Ghazi University, Pakistan

Dr. Muhammad Rashid is a Pakistani physicist and Associate Professor at the Department of Physics, Ghazi University Dera Ghazi Khan, Pakistan. He holds a Ph.D. in Physics (Condensed Matter/Computational Materials) from The Islamia University of Bahawalpur (IUB), conducted in collaboration with the National University of Singapore (NUS). His research focuses on the structural, electronic, optical, and magnetic properties of semiconductors, perovskites, and energy storage materials. He has extensive experience in computational material science, specializing in simulation techniques such as WIEN2k, VASP, and CASTEP. Throughout his career, Dr. Rashid has worked with esteemed institutions, including COMSATS University Islamabad and NUS, and has contributed significantly to the study of nanomaterials, energy harvesting applications, and Li-ion battery technologies. As a dedicated educator, he has taught a wide range of physics courses, including Modern Physics, Computational Physics, and Solid State Physics, fostering the next generation of scientists and researchers.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Muhammad Rashid is a highly qualified researcher in the field of Condensed Matter and Computational Materials Physics. His extensive academic background, including a Ph.D. from The Islamia University of Bahawalpur in collaboration with the National University of Singapore, highlights his expertise in materials science, nanomaterials, and energy storage applications.

🎓 Education

  • Ph.D. in Physics (Condensed Matter/Computational Materials) – The Islamia University of Bahawalpur (IUB), Pakistan (2014) 🏅

    • Thesis Title: “Structural, Electronic, Optical and Magnetic properties of II – VI semiconductors.”

    • Supervisor: Prof. Dr. Sheikh Aftab Ahmad

    • Collaboration: National University of Singapore (NUS)

  • M.Phil. in Physics – The Islamia University of Bahawalpur (IUB), Pakistan (2010) 📡

    • Thesis: “Designing, Fabrication and Applications of Controlled Atmospheric Tube Furnace.”

  • M.Sc. in Physics – Bahauddin Zakariya University (BZU), Pakistan (2006) 🧲

    • Specialization: Digital Electronics

  • B.Sc. in Science (Physics, Math A & B) – Bahauddin Zakariya University (BZU), Pakistan (2004) 📖

  • Higher Secondary School Certificate (ICS) – FBISE, Bahawalpur, Pakistan (2002) 🖥️

  • Secondary School Certificate (Science Group) – FBISE, Islamabad, Pakistan (2000) ⚛️

💼 Work & Research Experience

  • Associate Professor – Ghazi University Dera Ghazi Khan, Pakistan (March 2021 – Present) 🏛️

    • Teaching courses such as Modern Physics, Computational Physics, Condensed Matter Physics, Electromagnetic Theory, and Solid-State Physics.

    • Supervising research in condensed matter physics and nanomaterials.

  • Assistant Professor – COMSATS University Islamabad, Pakistan (April 2014 – March 2021) 🏫

    • Conducted research and taught various physics courses.

  • Research Associate – National University of Singapore (NUS), Singapore (March 2013 – October 2013) 🇸🇬

    • Worked under Prof. Y.P. Feng on Density Functional Theory (DFT) simulations using WIEN2k, VASP, and CASTEP.

  • Researcher (Material Simulation Group – MSG) – The Islamia University of Bahawalpur (IUB), Pakistan (Feb 2010 – Feb 2013) 🏗️

    • Specialized in computational material science and condensed matter physics.

🏆 Achievements, Awards & Honors

🏅 Recipient of the Ph.D. Fellowship – National University of Singapore (NUS) 🇸🇬
🏅 Published Numerous Research Papers in Web of Science and Scopus-indexed journals 📑
🏅 Supervised Several Ph.D. and M.Phil. Students in Computational and Condensed Matter Physics 🎓
🏅 Expert in Computational Physics Tools such as WIEN2K, VASP, SCAPS-1D, and MATLAB 🖥️
🏅 Active Researcher in Renewable Energy Applications (2D heterostructures, perovskites, and energy storage materials) ⚡

Publication Top Notes:

Pressure-induced modifications in the electronic, mechanical, optical, and thermodynamic properties of CsPbI3 for advanced optoelectronic applications: A DFT study

Bandgap engineering in graphene oxide (GO) via integrating DFT calculations with atmospheric-pressure microplasma (AMP) treatment for optoelectronic applications

Chemistry of zeolites and zeolite based composite membranes as a cutting-edge candidate for removal of organic dyes & heavy metal ions: Progress and future directions

Retraction notice to “Design and numerical simulation of lead-free inorganic perovskites (Cs2BiAgI6) solar cell through computation method” [Heliyon 10 (2024) e33922] (Heliyon (2024) 10(14), (S2405844024099535), (10.1016/j.heliyon.2024.e33922))

Structural, spectral, dielectric, and magnetic properties of Gd3+ substituted Y-type Barium hexaferrites

Systematic analysis of lead-free halide K2SnX6 (X = Cl, Br, I) double perovskites for solar cell applications

Design and numerical simulation of lead-free inorganic perovskites (Cs2BiAgI6) solar cell through computation method

Dr. Nicolas De la espriella | Magnetic Diagnostics | Best Researcher Award

Posted on by ScienceFather

Dr. Nicolas De la espriella | Magnetic Diagnostics | Best Researcher Award

Dr. Nicolas De la espriella, University of Córdoba, Colombia

Nicolás Antonio De La Espriella Vélez is a Colombian physicist and recognized peer reviewer by Minciencias, holding the category of Investigador Junior (IJ). He earned his Ph.D. in Physics from Universidad Simón Bolívar, Venezuela, focusing on numerical studies of magnetic properties in mixed ferrimagnetic Ising models. With a Master’s and Specialization in Physical Sciences from Universidad Nacional de Colombia and a Bachelor’s in Mathematics and Physics from Universidad de Córdoba, he has dedicated his career to academia and research. As a professor at Universidad de Córdoba since 1997, he has held various administrative roles, including department head and dean. His research spans condensed matter physics, particularly thermomagnetic properties of spin systems. He has mentored numerous undergraduate and graduate students and has been recognized for his contributions to scientific reviewing by Elsevier.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Based on Nicolás Antonio De La Espriella Vélez’s extensive academic background, research contributions, and recognition in the field of physics, he appears to be a strong candidate for the Best Researcher Award. His doctorate in physics, multiple research publications, and experience mentoring students in theoretical physics and magnetism demonstrate his commitment to advancing scientific knowledge. Additionally, his recognitions from Elsevier and IJRULA further validate his contributions to research.

🎓 Education

  • 🏅 Doctorate in Physics – Universidad Simón Bolívar, Venezuela (2006-2011)
    Thesis: Numerical Study of Magnetic Properties of a Mixed Ferrimagnetic Ising Model with Spins S=3/2 and Q=5/2
  • 📚 Master’s in Physical Sciences – Universidad Nacional de Colombia, Bogotá (1999)
    Thesis: Effective Potential for the Valence Electron in Quasi-Monoatomic Systems
  • 🎓 Specialization in Physical Sciences – Universidad Nacional de Colombia, Bogotá (1993)
    Thesis: Curriculum Design for the Establishment of the Physics Program at Universidad de Córdoba
  • 🏫 Bachelor’s in Mathematics and Physics – Universidad de Córdoba (1981)
    Thesis: Teaching Practices in Mathematics and Physics

💼 Work Experience

  • 📌 Universidad de Córdoba (1997 – Present)
    • 🏛️ Dean of Center (2013 – Present)
    • 📌 Head of Department (1998)
    • 🎓 Assistant Professor (Since 1997)
    • 📖 Undergraduate Course Instructor: Waves and Particles (Since 1997)
    • 🔬 Research & Development:
      • Calculation of Energies and Charge Densities for the Helium Atom (2004)
  • 📌 Universidad del Sinú – Elías Bechara Zainum (2014 – Present)
    • 📚 Professor (20 hours per week)

🏆 Achievements & Honors

  • 🏅 Meritorious Thesis – Universidad de Córdoba (2015)
  • 🏆 Outstanding Contribution in Reviewing – Elsevier (2017, 2018)
  • 🎖️ Cedro del Líbano Award – Universidad del Sinú – Elías Bechara Zainum (2021)

Publication Top Notes:

CITED:52
CITED:52
CITED:41
CITED:40
CITED:37

Dr. Yue Wang | Sensor development Award | Best Researcher Award

Posted on by ScienceFather

Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo