Senior Engineer, at Beijing Aircraft Technology Research Institute of Commercial Aircraft Corporation of China, China.
Dr. Baohong Bai is a distinguished Senior Engineer specializing in Aeroacoustics, currently based in Beijing, China. With a robust academic foundation and extensive industry experience, he has significantly contributed to the field of aeroacoustics, focusing on aircraft and engine noise prediction and control. His work bridges theoretical frameworks with practical applications in civil aviation, aiming to enhance the acoustic performance of modern aircraft.
Professional Profile
Scopus
Education
Dr. Bai earned his Ph.D. in Fluid Machinery & Engineering (Aeroacoustics) from Beihang University in Beijing, China, between 2010 and 2017. His doctoral thesis, titled “Advanced Prediction Methods for Airframe and Turbomachinery Noise,” laid the groundwork for his future research endeavors. During his doctoral studies, he participated in a joint Ph.D. program at the Technical University of Berlin, Germany, from 2013 to 2014. Prior to his Ph.D., he completed his M.Sc. in Aerospace Propulsion at Beihang University in 2010 and obtained his B.Eng. in Aircraft Power Engineering from Northwestern Polytechnical University in Xi’an, China, in 2009.
Professional Experience
Dr. Bai’s professional journey commenced as a Postdoctoral Researcher at Tsinghua University’s School of Aerospace from 2017 to 2020, where he pioneered L1/2-based compressive sensing for fan duct mode detection. In 2020, he joined COMAC Beijing as an Engineer in Aeroacoustics, contributing to various projects aimed at reducing aircraft noise. Since 2022, he has served as a Senior Engineer at the Beijing Aircraft Technology Research Institute of Commercial Aircraft Corporation of China, Ltd., leading R&D projects focused on airframe noise reduction for next-generation commercial aircraft. Notably, he developed a patented low-noise flap design (PCT/WO2023077686A1), showcasing his innovative approach to noise control.
Research Interests
Dr. Bai’s research interests encompass aeroacoustics, computational aeroacoustics, aircraft and engine noise prediction and control, turbulence modeling, and experimental techniques. He is particularly adept at bridging theoretical frameworks, such as acoustic analogy, with industrial applications in civil aviation. His work aims to develop advanced prediction methods and control strategies to mitigate noise generated by aircraft components, thereby enhancing passenger comfort and meeting stringent environmental standards.
Awards
Throughout his career, Dr. Bai has received several accolades recognizing his contributions to the field of aeroacoustics. He was nominated for the National Natural Science Foundation of China (NSFC) Youth Fund in 2018, a testament to his promising research endeavors. Additionally, he has been a key contributor to various National Key R&D Programs, including projects focused on “Fan/Nozzle Noise Prediction & Design,” underscoring his pivotal role in advancing noise control technologies in civil aviation.
Top Noted Publications
Dr. Bai has an extensive publication record, with over 20 papers, including 20 SCI/EI-indexed articles. His notable publications include:
1. Nonconvex L₁/₂ Minimization Based Compressive Sensing Approach for Duct Azimuthal Mode Detection
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Authors: Baohong Bai, Xiaodong Li, Tian Zhang, Dakai Lin
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Published in: AIAA Journal, 2020, Volume 58, Issue 9, Pages 3932–3946
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DOI: 10.2514/1.J059341
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Summary: This paper introduces a compressive sensing method utilizing nonconvex L₁/₂ minimization for detecting azimuthal modes in duct acoustics, offering enhanced sparsity and robustness in mode identification. arc.aiaa.org
2. Acoustic Sources Mapping Based on the Non-Negative L₁/₂ Regularization
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Authors: Baohong Bai, Xiaodong Li
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Published in: Applied Acoustics, 2020, Volume 169, Article 107456
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DOI: 10.1016/j.apacoust.2020.107456
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Summary: The study presents a non-negative L₁/₂ regularization approach for mapping acoustic sources, enhancing the accuracy of source localization in complex acoustic environments.
3. Identification of Flap Side-Edge Two Sources Based on Phased Microphone Arrays
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Authors: Baohong Bai, Dakai Lin, Xiaodong Li
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Published in: AIAA Journal, 2022, Volume 60, Issue 1, Pages 249–260
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DOI: 10.2514/1.J060064
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Summary: This paper discusses a method for identifying two acoustic sources at the flap side-edge using phased microphone arrays, contributing to improved aeroacoustic diagnostics.
4. Identification of the Two-Sources at the Aircraft Slat/Fuselage Juncture Based on Phased Array
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Authors: Baohong Bai, Yingzhe Zhang, Xiaodong Li
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Published in: Aerospace Science and Technology, 2023, Volume 135, Article 108186
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DOI: 10.1016/j.ast.2023.108186
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Summary: The paper explores the identification of two acoustic sources at the aircraft slat/fuselage juncture using phased array techniques, aiding in the understanding of noise generation mechanisms.
5. A Physics Merged Deep Neural Network-Based Prediction Method for Jet Turbulent Mixing Noise
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Authors: Baohong Bai, Yingzhe Zhang, Xiaodong Li, Junhui Gao
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Published in: International Journal of Aeroacoustics, 2024, Volume 23, Issues 3–4
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DOI: 10.1177/1475472X241230652
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Summary: This research develops a physics-merged deep neural network (PMNN) approach for predicting jet turbulent mixing noise, integrating physical principles with deep learning to enhance prediction accuracy and provide insights into noise components. citedrive.c
Conclusion
Dr. Baohong Bai is a highly qualified candidate for the Best Researcher Award, with:
An impactful body of work in aeroacoustics and noise control,
A strong blend of theoretical innovation and practical engineering application,
Demonstrable influence on both academic research and industry practices.