Assoc. Prof. Dr. Gino Iannace | Acoustics Awards | Innovative Research Award

Assoc. Prof. Dr. Gino Iannace | Acoustics Awards | Innovative Research Award

Assoc. Prof. Dr. Gino Iannace, Univerersity of Campania, Italy

Dr. Iannace Gino is an Associate Professor at the University of Campania Luigi Vanvitelli, where he is qualified as a full professor in the field of environmental acoustics (9C2 ING-IND 11). With a Ph.D. in environmental acoustics, his research interests span various aspects of acoustics, particularly focusing on environmental acoustics and the acoustic properties of materials. He has published over 77 papers in indexed international scientific journals and contributed to 48 conference proceedings. Dr. Iannace has over 30 years of professional experience in acoustics, including conducting action plans, noise maps, and acoustic impact assessments. He has participated in several national and international projects and has served as a reviewer for multiple journals, as well as an editor for the International Journal of Environmental Research and Public Health. He has held numerous academic and scientific coordination roles, leading research units in several projects. His teaching activities are extensive, ranging from undergraduate to master’s levels, and he has taught in several international universities. He is also an active contributor to acoustics and environmental control education, with a strong track record of involvement in international teaching programs and conferences.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Innovative Research Award conclusion

Dr. Gino Iannace stands out as an ideal candidate for the Innovative Research Award, based on his significant and diverse contributions to the field of Environmental Acoustics. His 30+ years of professional experience, including groundbreaking work on acoustic materials, environmental noise, and noise impact assessments, demonstrate his expertise and innovation.

🎓 Education:

  • 🎓 Ph.D. in Environmental Acoustics (1993)
    Thesis in Applied Acoustics, University of Naples “Federico II”

  • 🎓 Post-graduate scholarship from Fondazione “G. Donegani” awarded by Accademia Nazionale dei Lincei (1988)

  • 📘 Ph.D. Program in “Engineering of Thermomechanical Systems” at University of Naples “Federico II” (1990–1993)

💼 Work Experience:

  • 🏫 Associate Professor of Environmental Technical Physics (2001–present)
    University of Campania “Luigi Vanvitelli”

  • 👨‍🏫 University Researcher in Applied Acoustics (1994–2001)
    University of Naples “Federico II”

  • 👷‍♂️ Aeritalia S.a.i.p.A. (1988–1990) – Finite Element Numerical Modeling

  • 🧑‍🏫 Teaching experience includes courses at:

    • University of Sannio (2014)

    • University of Naples “Federico II” (1993–2001)

    • University of Campania “Luigi Vanvitelli” (2001–ongoing)

    • International lectures in Spain, Turkey, and Russia via Erasmus and Summer School

🏆 Achievements:

  • 📚 Over 131 documents indexed in Scopus

  • 📈 Citations: 1,591 | H-Index: 19 (as of April 2022)

  • ✍️ Author of 77+ international journal publications and 48+ conference proceedings

  • 🌐 Editor of the International Journal of Environmental Research and Public Health

  • 👨‍🔬 Reviewer for numerous scientific journals

  • 🔬 Coordinator and participant in multiple national and international research projects, including:

    • PRIN projects (1998–2017)

    • EU-funded SONORUS – Marie Curie ITN (2012)

    • Multiple applied acoustics and environmental agreements with local governments and private organizations

🏅 Awards & Honors:

  • 🏅 Post-doctoral scholarship (1994)

  • 🎖️ Fondazione “G. Donegani” postgraduate scholarship (1988)

  • 🌍 Recognized for more than 30 years of professional expertise in environmental acoustics including:

    • Acoustic zoning

    • Noise mapping

    • Acoustic impact assessments

Publication Top Notes:

Acoustic Investigations of Two Barrel-Vaulted Halls: Sisto V in Naples and Aula Magna at the University of Parma

Sound Absorption of Hydroponically Grown Plants

Discover the Acoustics of Vanvitelli Architecture in the Royal Palace of Caserta

Three Albanian cultural centers in comparison under an acoustic perspective

Optimizing Controlled-Resonance Acoustic Metamaterials with Perforated Plexiglass Disks, Honeycomb Structures, and Embedded Metallic Masses

The acoustic importance of velaria in Roman amphitheaters: Investigations on the effects of different coverage percentages in Durres and Capua

Through the history of the acoustic response within the theatre of Taormina: From Greek and Roman periods to our days

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 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