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
    đź“Ť Ph.D., Beijing University of Technology
    🧪 Focus: Intelligent Sensor Testing & Structural Health Monitoring

  • 2016.09 – 2019.06
    đź“Ť M.Sc., Instrument Engineering, Beijing University of Technology

  • 2010.09 – 2014.07
    đź“Ť B.Eng., Electronic Information Engineering, Shandong University of Technology

đź’Ľ Work Experience

  • Lecturer, Beijing University of Technology
    đź“Ś 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

Mrs. Matilde Anaya Villalpanda | Electromagnetic Field | Best Researcher Award

Posted on by ScienceFather

Mrs. Matilde Anaya Villalpanda | Electromagnetic Field | Best Researcher Award 

Mrs. Matilde Anaya Villalpanda, Centro de Gestión y Desarrollo de la Calidad, Cuba 

Matilde Anaya Villalpanda is a distinguished Cuban researcher and academic with extensive expertise in food engineering, microbiology, and environmental sciences. She holds degrees in Food Technology (1998) and Chemical Engineering (2007), a Master’s in Food Engineering (2012), and a Ph.D. in Technical Sciences in Environment (2018). With over 26 years of experience, she has served as an Assistant Professor (2015) and a Principal Researcher (2023), teaching at the Institute of Pharmacy and Food at the University of Havana (IFAL-UH) and the Faculty of Chemistry at CUJAE. She has held leadership roles, including Head of the Microbiology Department and Biosecurity Officer at the Institute of Food Industry Research (IIIA) and Head of the Food Safety Coordination Department at the National Standardization Office (ONN). Her doctoral research focused on indoor air microbiological quality, pioneering the use of magnetic fields for aerobiological monitoring, leading to the establishment of Cuban standard NC 1404:2022. Her work spans microbial conservation, probiotic yeast evaluation, fungal enzyme extraction, and the application of circular economy principles in agro-food value chains. She has led or contributed to 17 research projects under Cuba’s Ministry of Science, Technology, and Environment and Higher Education, earning municipal, provincial, and national recognition. An accomplished scholar, she has presented 75 papers at national and international conferences and published 50 indexed journal articles. Her contributions extend to mentoring undergraduate and graduate theses, advancing microbiology, food safety, and biotechnology in Cuba.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award 

Matilde Anaya Villalpanda is a highly distinguished researcher in Food Technology, Chemical Engineering, and Environmental Sciences, making her a strong candidate for the Best Researcher Award. Her 26 years of experience, extensive research contributions, leadership in food safety and microbiology, and significant impact on industrial processes and regulations highlight her excellence in scientific research.

🎓 Education:

  • 1998: Graduated in Food Technology

  • 2007: Degree in Chemical Engineering

  • 2012: Master’s in Food Engineering

  • 2018: Ph.D. in Technical Sciences (Environment)

👩‍🏫 Work Experience:

  • Professor & Researcher:

    • Assistant Professor (2015)

    • Senior Researcher (2023)

  • Teaching Positions:

    • Adjunct Professor at the Institute of Pharmacy and Food, University of Havana (IFAL-UH)

    • Lecturer at CUJAE’s Faculty of Chemistry, teaching:

      • “Principles of Food Engineering” (4th year)

      • “Process Engineering I & II” (4th & 5th year)

  • Industry & Research Leadership:

    • Head of Microbiology Department (2014) – Institute of Food Industry Research (IIIA)

    • Head of Food Safety Coordination Department – National Standardization Office (ONN)

    • Biosecurity Manager (2014) – IIIA

🏆 Achievements & Research Contributions:

  • Doctoral Research: Developed a methodology for indoor air microbiological quality monitoring using magnetic fields, leading to the approval of Cuban standard NC 1404:2022.

  • Innovative Research Areas:

    • Studied magnetic fields’ effects on human health & microorganisms in food preservation and fermentation.

    • Worked on conservation of fungal, yeast, and lactic acid bacteria strains for food applications.

  • Project Leadership:

    • Directed a research project at IIIA on new microbiological analysis methods for the food industry.

    • Led studies on probiotic properties of brewer’s yeast, β-1,3-glucan production in S. cerevisiae, fungal biodeterioration of food packaging, and antifungal activity of Cuban natural products.

    • Participated in Codex Alimentarius management strengthening in Cuba and circular economy projects in agri-food value chains.

  • Industrial Experience:

    • Supervised meat product processing at IIIA.

    • Managed bakery, confectionery, fruit & vegetable processing at MINAG.

    • Directed distillation and aged rum production (Havana Club, Santa Cruz Rum Distillery).

🎖 Awards & Honors:

  • Research Excellence: Participated in 17 research projects across multiple institutions (IIIA, CITMA, MES).

  • Academic Contributions:

    • 75 research presentations in national & international conferences.

    • 50 scientific articles published in indexed journals and Web of Science.

  • Mentorship & Education: Supervised 16 undergraduate theses and 2 master’s theses across engineering, food sciences, and microbiology.

  • Recognized Research Results: Awarded at municipal, provincial, and national levels for scientific contributions.

Publication Top Notes:

Magnetotropism: a tropic response of Candida guillemondii by the effect of the oscillating magnetic field of extremely low frequency

ValidaciĂłn de un Cuestionario Sobre Circularidad En El Sector Agroindustrial Alimentario

LA ECONOMĂŤA CIRCULAR PARA LA SEGURIDAD ALIMENTARIA Y EL PROCESAMIENTO AGROINDUSTRIAL DE ALIMENTOS

Quantification of superficial growth and the pigmentation of filamentous fungi by effect of oscillating magnetic field

Antifungal effects of Curcuma longa L. essential oil against pathogenic strains isolated from indoor air

Consideraciones sobre la influencia del campo magnético oscilante de frecuencia extremadamente baja en la aeromicrobiota de ambientes interiores

Effect of the oscillating magnetic field on airborne fungal