Mr. Haosheng Liu | Noise and Vibration Awards | Best Researcher Award

Mr. Haosheng Liu | Noise and Vibration Awards | Best Researcher Award

Mr. Haosheng Liu, Qingdao University of Technology, China

Dr. Liu Haosheng is an accomplished researcher specializing in noise and vibration, with a strong emphasis on sound field synthesis and noise control. He recently published an innovative study, “Experimental Synthesis of Random Pressure Fields Based on Transfer-Matrix Analysis on 1D Arrays,” in the prestigious Journal of Sound and Vibration (February 2025). His research addresses complex challenges in acoustics engineering, environmental noise control, and sound design, bridging the gap between academic inquiry and practical applications. Dr. Liu actively collaborates with leading experts in the field, fostering innovation and contributing significantly to advancements in noise control technologies. His dedication to pushing the boundaries of understanding and technology in his domain has earned him recognition as a leader in his field

Professional Profile:

ORCID

Research Contributions:

Dr. Liu has demonstrated significant contributions to the field of noise and vibration, particularly through his recent publication titled
“Experimental synthesis of random pressure fields based on transfer-matrix analysis on 1D arrays,” published in the Journal of Sound and
Vibration (February 2025). This work reflects his innovative approach to sound field synthesis and showcases his ability to tackle complex
problems within the discipline.

Impact of Research:

The research conducted by Dr. Liu has implications for various practical applications, including acoustics engineering, environmental noise
control, and sound design, making his work valuable to both academic and industrial sectors. His contributions are essential for advancing
the understanding and technology surrounding noise control and sound synthesis.

Collaborative Work:

Dr. Liu has collaborated with notable researchers in the field, enhancing the credibility and impact of his work. This collaborative spirit
fosters innovation and knowledge sharing, which are crucial for a researcher’s growth and influence.

Conclusion:

Given Dr. Liu Haosheng’s notable research output, innovative methodologies, and contributions to the field of noise and vibration, he is
highly suitable for the Best Researcher Award. His work not only pushes the boundaries of current research but also contributes positively
to the community and industry practices.

Publication Top Notes:

Experimental synthesis of random pressure fields based on transfer-matrix analysis on 1D arrays

 

Mr. Daniel Kadyrov | Acoustics Awards | Best Researcher Award

Mr. Daniel Kadyrov | Acoustics Awards | Best Researcher Award

Mr. Daniel Kadyrov, Stevens Institute of Technology, United States

Daniel Kadyrov is a skilled engineer, researcher, and educator based in New York, NY, specializing in acoustics, sensor technology, and machine learning. He is currently a Ph.D. candidate in Ocean Engineering at Stevens Institute of Technology and holds a Master’s in Computer Science with a focus on Machine Learning and Data Science, as well as a Bachelor’s and Master’s in Mechanical Engineering from Binghamton University. Daniel has extensive experience in applied research and technology development, particularly in acoustics and sensor integration. His work at the National Urban Security Technology Laboratory and Stevens Institute of Technology has involved the design and testing of complex sensor systems for applications such as drone detection, environmental monitoring, and invasive species identification. He has developed innovative algorithms and data systems, integrating Python, MongoDB, and GIS tools to enhance detection and classification capabilities. Daniel also brings a background in teaching, with positions at Pace University, Columbia University, and other institutions, where he has contributed to STEM education through hands-on, technology-focused learning experiences. In addition to his technical and educational roles, he has leadership experience managing an FCC-licensed radio station, WHRW 90.5 FM, where he improved operations, training, and community engagement.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Daniel Kadyrov is a highly qualified candidate with extensive technical experience in sensor technology, acoustics, and machine learning, showcasing a broad expertise applicable to the “Best Researcher Award.” His research work, particularly in sensor development, signal processing, and acoustic detection systems, directly aligns with innovation and application, essential attributes for the award.

Education

  • Stevens Institute of Technology, Charles V. Schaefer, Jr. School of Engineering & Science
    • Ph.D. Candidate in Ocean Engineering, 2022–2024 (expected)
    • M.S. in Computer Science (Machine Learning and Data Science), 2021
  • Binghamton University, Watson School of Engineering
    • M.S. in Mechanical Engineering (Acoustics and Dynamic Systems), 2016
    • B.S. in Mechanical Engineering, 2015

Technical Experience

  • National Urban Security Technology Laboratory, Department of Homeland Security
    • Position: General Engineer
    • Location: New York, NY
    • Duration: June 2024 – Present
  • Sensor Technology & Applied Research Center, Stevens Institute of Technology
    • Position: Research Engineer – Acoustics, Sensors, and Software Development
    • Location: Hoboken, NJ
    • Duration: May 2019 – December 2024
    • Responsibilities: Conducted field tests on sensors for applications in environment monitoring, drone detection, and data fusion for machine learning applications. Managed large-scale datasets and developed backend and frontend systems for data visualization and management.
  • Weidlinger Applied Science, Thornton Tomasetti
    • Position: Senior Engineer – Acoustics and Software Development
    • Location: New York, NY
    • Duration: January 2017 – November 2018
    • Responsibilities: Maintained and updated simulation programs and developed GUI applications for engineering and insurance purposes, involving acoustics and structural simulations.
  • Acoustic Core, Binghamton University
    • Position: Research Assistant – Acoustics
    • Location: Binghamton, NY
    • Duration: June 2014 – August 2014
    • Responsibilities: Prepared anechoic chamber for acoustic research and programmed automation tools for data analysis.

Teaching Experience

  • Pace University
    • Position: Adjunct Professor – Computer Information Systems
    • Duration: September 2023 – Present
  • Columbia University
    • Position: Pre-College Instructor – Introduction to Programming with Python, Introduction to Engineering
    • Duration: June 2023 – Present
  • ScholarStem Tech Builders Club
    • Position: STEM Group Teacher (Ages 6-12)
    • Duration: September 2022 – June 2023
  • Eleanor Roosevelt High School
    • Position: STEM Group Advisor and Tutor
    • Duration: September 2022 – Present
  • Chess at Three
    • Position: Individual and Group Tutor (Ages 3-10)
    • Duration: January 2022 – June 2023
  • Harpur College, Binghamton University
    • Position: Teaching Assistant and Lab Assistant (MIDI Course and Lab)
    • Duration: September 2012 – May 2015

Publication top Notes:

Vibro-Acoustic Signatures of Various Insects in Stored Products

Stevens Passive Acoustic Detection System (SPADES-2) and its prospective application for windfarm underwater noise assessment

Improvements to the Stevens drone acoustic detection system

Low-cost multimodal integrated marine surveillance system