Xiaoya Zhang | Computer Network | Best Researcher Award

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Dr. Xiaoya Zhang | Computer Network | Best Researcher Award

Postdoctoral, Beijing Jiaotong University, China

Xiaoya Zhang is a promising researcher with a strong publication record in IoV and multipath transmission. The research contributions are well-aligned with cutting-edge advancements in future networks, making a significant impact in the field

Publication Profile
scopus

Education :

Xiaoya Zhang is currently pursuing a Doctor of Engineering in Communication and Information Systems at Beijing Jiaotong University, where she has been enrolled since September 2018. Her doctoral research primarily focuses on multipath transmission mechanisms in heterogeneous vehicular networks and the optimization of future network architectures.

Research Focus:

Her research interests include Internet of Vehicles (IoV), future network architectures, multipath transmission protocols, and the integration of space-ground networks. She specializes in developing traffic-aware and high-throughput scheduling algorithms for vehicular ad hoc networks (VANETs) and wireless communication systems, with an emphasis on enhancing quality of experience (QoE) and system stability.

Skills:

Her technical skills include network protocol design, multipath transmission algorithms, fog computing, and performance evaluation of wireless networks. She is proficient in programming languages such as Python, C++, and MATLAB, along with simulation tools like NS-3 and OMNeT++.

Awards:

Xiaoya Zhang has received multiple academic awards for her outstanding research contributions, including the Excellent Graduate Student Award from Beijing Jiaotong University and the Best Paper Award at IEEE ICC 2023.

Publication :

  • Ta2ls: A Traffic-Aware Multipath Scheduler for Cost-Effective QoE in Dynamic HetNets, IEEE Transactions on Mobile Computing, 2024.

 

  • PPORM: A PPO-Assisted Packet Reordering Mechanism of Heterogeneous VANETs for Enhancing Goodput and Stability in Fog Computing, Vehicular Communications, 2025.

 

  • A High-Throughput Scheduler Based on Multipath-State Machine in Wireless Networks, IEEE International Conference on Communications (ICC), 2023.

 

  • Study on Characteristics of Metric-Aware Multipath Algorithms in Real Heterogeneous Networks, IEEE Global Communications Conference (Globecom), 2021.

 

  • Space-Ground Integrated Information Network Enabled Internet of Vehicles: Architecture and Key Mechanisms, IEEE Communications Standards Magazine, 2020.

conclusion:

strengthening aspects such as leading projects, international collaboration, and broader academic engagement would further enhance the profile for prestigious research awards. Given the current track record, Xiaoya Zhang is a strong candidate for the Best Researcher Award, particularly in early-career or emerging researcher categories.

Mebougna Drabo | CFD | Research and Development Excellence Award in CAD

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Dr Mebougna Drabo | CFD  | Research and Development Excellence Award in CAD

Professor, Alabama A&M University, United States

Dr. Mebougna L. Drabo is a highly qualified researcher and academic leader with extensive experience in engineering research and development. His roles as Professor, Department Chair, and Center Director at Alabama A&M University demonstrate strong research leadership. While he is a strong candidate for the Best Researcher Award, his suitability for the CAD Award depends on whether his research includes substantial CAD-related contributions, which need to be explicitly detailed.

Publication Profile
scopus

Education :

Dr. Drabo has an impressive academic background, earning degrees from prestigious institutions in mechanical and aerospace engineering,Doctor of Philosophy in Mechanical Engineering (GPA: 4.0/4.0),The University of Alabama, Tuscaloosa, AL (May 2011),Master of Science in Mechanical Engineering (GPA: 4.0/4.0),The University of Alabama, Tuscaloosa, AL (May 2010),Master of Science in Aerospace Engineering (GPA: 3.74/4.0),University at Buffalo, Buffalo, NY (June 2006),Bachelor of Science in Aerospace Engineering (GPA: 3.5/4.0, Magna Cum Laude),University at Buffalo, Buffalo, NY (February 2005),Associate of Science in Engineering Science (GPA: 3.67/4.0),Fulton Montgomery Community College, Johnstown, NY

Experience:

Dr. Mebougna L. Drabo is a distinguished professor and researcher in mechanical engineering, currently serving as the Chair of the Mechanical & Civil Engineering and Construction Management Department at Alabama A&M University. He has been with the university since 2012, progressively taking on leadership roles.He was appointed as the Professor of Mechanical Engineering in April 2023 and has been leading the department since January 2023. Prior to that, he served as the Interim Chair (August 2022 – January 2023) before taking on the permanent role. In addition, Dr. Drabo is the Director of the Nuclear Engineering and Radiological Science (NERS) Center since August 2022 and was recently appointed as the Alabama EPSCoR Agency Director for DOE in January 2024.Throughout his academic career, he has contributed extensively to mechanical and nuclear engineering research, education, and program development, demonstrating expertise in engineering leadership and innovation.

Skills:

Dr. Drabo possesses a diverse set of technical and leadership skills, including:Engineering Program Leadership & Development,Nuclear Energy Systems & Safety Analysis,Advanced Computational Simulations (CFD, Finite Element Analysis),Mechanical & Aerospace Engineering Research,Engineering Education & Curriculum Development,Multidisciplinary Research & Grant Writing

Awards:

Dr. Drabo’s contributions to engineering education and research have been widely recognized through various awards and honors. His achievements include distinctions in academic excellence, research grants, and leadership accolades in engineering education.

Publication :

        1. Here are some of the publications by Mebougna L. Drabo, along with their co-authors and publication years:

          1. High Efficient Advanced Thermoelectric Devices from Different Multilayer Thin Films

            • Authors: S. Budak, Z. Xiao, B. Johnson, J. Cole, M. Drabo, A. Tramble, C. Casselberry
            • Year: 2016

          2. Modeling of Infiltration Characteristics by Modified Kostiakov Method

            • Authors: M. Hasan, T. Chowdhury, M. Drabo, A. Kassu, C. Glenn
            • Year: 2015

          3. Evaluation of Gross Alpha and Gross Beta Radioactivity in Crude Oil Polluted Soil, Sediment and Water in the Niger Delta Region of Nigeria

            • Authors: E.O. Agbalagba, S.U. Egarievwe, E.A. Odesiri-Eruteyan, M.L. Drabo
            • Year: 2021

          4. Study of Surface Passivation and Contact Deposition Techniques in CdZnTe X-Ray and Gamma-Ray Detectors

            • Authors: D.E. Jones, S.U. Egarievwe, A. Hossain, I.O. Okwechime, M.L. Drabo, J.Q. Hall
            • Year: 2012

          5. Comparative Analysis of Velocity Decomposition Methods for Internal Combustion Engines

            • Authors: S. Ă–lçmen, M. Ashford, P. Schinestsky, M. Drabo
            • Year: 2012

          6. Analysis of Te and TeOâ‚‚ on CdZnTe Nuclear Detectors Treated with Hydrogen Bromide and Ammonium-Based Solutions

            • Authors: M.L. Drabo, S.U. Egarievwe, I.O. Okwechime, D.E. Jones, A. Hossain
            • Year: 2017

          7. Stable Uranium Oxide Under Atmospheric Conditions: An Electroplating Technique for U Film Fabrication at Boron-Doped Diamond Electrodes

            • Authors: A. Peña-Duarte, A.J. Acevedo-González, R.M. Lagle, M. Drabo
            • Year: 2023

          8. Design and Fabrication of a CdMnTe Nuclear Radiation Detection System

            • Authors: S.U. Egarievwe, M.B. Israel, A.D. Banks, M.L. Drabo
            • Year: 2019
            • Source: Google Scholar
              scholar.google.com

          9. Characterization of CdZnTeSe Nuclear Detector Chemically Etched in Bromine Methanol

            • Authors: E.O. Agbalagba, M.L. Drabo, S.U. Egarievwe
            • Year: 2021

          10. Characterization of CdMnTe Planar Nuclear Detectors Grown by Vertical Bridgman Technique

            • Authors: S.U. Egarievwe, U.N. Roy, E.O. Agbalagba, M.L. Drabo
            • Year: 2019

conclusion:

Best Researcher Award: Highly suitable, pending documentation of his publication impact and research contributions.Research & Development Excellence in CAD: Potentially suitable if CAD applications are a significant part of his research portfolio.

 

 

Chang Hyun Sohn | CFD | Best Researcher Award

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Prof. Chang Hyun Sohn | CFD | Best Researcher Award

Professor, Kyungpook National University, South Korea.

Dr. Chang-Hyun Sohn is an accomplished academic and researcher with a distinguished career in mechanical engineering. His research in computational fluid dynamics, flow-induced vibration, and thermal-fluid flow phenomena has been recognized internationally, and his leadership roles in various engineering societies reflect his influential presence in the field. Dr. Sohn’s impressive publication record, patents, and awards underscore his innovative contributions to both academia and industry.

Publication Profile

Google Scholar

Education :

Dr. Chang-Hyun Sohn holds a Ph.D. in Mechanical Engineering from KAIST, South Korea, earned in 1991. He also completed his Master’s in Mechanical Engineering at KAIST in 1985 and obtained his Bachelor’s in Mechanical Engineering from Kyungpook National University, South Korea, in 1983. His strong educational foundation has significantly contributed to his long-standing career in academia and research.

Experience :

Dr. Sohn has been a professor at Kyungpook National University since 1994, where he is a key faculty member in the School of Mechanical Engineering. He served as the Team Manager for the Agency for Defense Development (ADD) in the development of small jet engines from 1991 to 1994. His academic influence extends internationally through his visiting professorships at the University of Cambridge (UK) in 1996-1997 and the University of Tennessee, Knoxville (USA) in 2005-2006. Dr. Sohn also held leadership roles at Kyungpook National University, including Vice Dean of the College of Engineering (2007-2008), Director of the Industrial-University Consortium Center (2007-2008), and Director of the Industrial Technology Support Hotline Center (2007-2008). Additionally, he was the President of the Faculty Assembly at Kyungpook National University (2012-2013) and held leadership positions in professional organizations such as the Korean Society of Mechanical Engineers (KSME) and the Korean Society of Automotive Engineers (KASE).

Research Focus :

Dr. Sohn’s research primarily focuses on thermal-fluid dynamics, computational fluid dynamics (CFD), and flow-induced vibrations. He has extensively studied the behavior of fluid flows under various thermal conditions and developed novel techniques for accurately measuring these flows using PIV. His work contributes to enhancing the understanding of flow phenomena in mechanical engineering, which is crucial for improving designs and systems in industries ranging from automotive to defense.

Awards:

Throughout his career, Dr. Sohn has received numerous awards recognizing his excellence in research and teaching. Notable honors include the Outstanding Paper Award from the Korean Society for Computational Fluid Engineering in 2010 and the Best Paper Award from the Korean Society of Mechanical Engineers in the same year. He also advised the winning team at the National Fluid Engineering Competition for University Students in 2010 and was selected as an Outstanding Portfolio Instructor at Kyungpook National University. Additionally, Dr. Sohn was invited as a speaker at prominent international conferences, including the 14th International Bhurban Conference on Applied Sciences & Technology (IBCAST) in 2016 and the 44th National Conference on Fluid Mechanics and Fluid Power (FMFP) in 2017.

Skills:

Dr. Sohn specializes in computational fluid dynamics (CFD) analysis of thermal-fluid flow phenomena. His expertise extends to the use of Particle Image Velocimetry (PIV) for measuring thermal-fluid flow and investigating flow-induced vibrations. These skills have led to significant contributions in both theoretical and experimental research, particularly in the field of thermal-fluid engineering.

 

 

Publication :

  • Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps
    • Authors: S. Saleh, C.H. Sohn
    • Journal: Actuators
    • Volume & Issue: 14 (2), 62
    • Year: 2025

 

  • Enhanced Power Extraction via Hybrid Pitching Motion in an Oscillating Wing Energy Harvester with Leading Flap
    • Authors: S. Saleh, C.H. Sohn
    • Journal: Energies
    • Volume & Issue: 17 (23), 6108
    • Year: 2024

 

  • Wetting performance analysis of porosity distribution in NMC111 layered electrodes in lithium-ion batteries using the Lattice Boltzmann Method
    • Authors: M. Abubaker, C.H. Sohn, H.M. Ali
    • Journal: Energy Reports
    • Volume & Issue: 12, 2548-2559
    • Year: 2024

 

  • Reduction of delivery pressure fluctuations in a gerotor pump
    • Authors: K. Nazir, C.H. Sohn
    • Journal: Journal of Mechanical Science and Technology
    • Volume & Issue: 38 (8), 4161-4166
    • Year: 2024

 

  • Numerically Investigating the Energy-Harvesting Performance of an Oscillating Flat Plate with Leading and Trailing Flaps
    • Authors: S. Saleh, C.H. Sohn
    • Journal: Energies
    • Volume & Issue: 17 (12), 3010
    • Year: 2024

 

  • Wetting characteristics of Li-ion battery electrodes: Impact of calendaring and current collector contact angle-A Lattice Boltzmann Method investigation
    • Authors: M. Abubaker, C.H. Sohn, H.M. Ali
    • Journal: Energy Reports
    • Volume & Issue: 11, 2333-2345
    • Year: 2024

 

  • Power Extraction Performance by a Hybrid Non-Sinusoidal Pitching Motion of an Oscillating Energy Harvester
    • Authors: S. Saleh, C.H. Sohn
    • Journal: Energies
    • Volume & Issue: 17 (11), 2451
    • Year: 2024

 

  • Understanding wetting behavior in electrode–electrolyte interface formation and its sensitivity to electrode-current collector interaction: a lattice Boltzmann method approach
    • Authors: M. Abubaker, C.H. Sohn, H.M. Ali
    • Journal: Journal of Thermal Analysis and Calorimetry
    • Year: 2024

 

Zakir Hussain | Neural Networks | Best Researcher Award

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Dr. Zakir Hussain | Neural Networks | Best Researcher Award

Dr. Zakir Hussain, University of Baltistan, Skardu, Pakistan

Dr. Zakir Hussain is the Head of the Department of Mathematics at the University of Baltistan, Skardu, Pakistan. He holds a PhD in Fluid Mechanics from Quaid-i-Azam University, Islamabad, and has extensive expertise in data science, artificial intelligence, and computational fluid dynamics. With over 140 research publications and a significant impact factor, Dr. Hussain is an established reviewer for international journals and an active contributor to advancements in data-driven solutions, numerical simulations, and AI applications in fluid mechanics. His research and teaching emphasize machine learning, mathematical modeling, and innovative computational techniques in applied mathematics.

Summary:

Dr. Zakir Hussain exemplifies the qualities of a Best Researcher Award recipient through his extensive contributions to fluid mechanics, AI, and applied mathematics. With a solid academic background, proven research impact, and substantial publication record, he has made significant advancements in computational fluid dynamics and data science applications. His leadership role in the Department of Mathematics also underscores his commitment to fostering research and innovation within his institution and beyond.

 

Professional Profiles:

Scopus

🎓Education:

Dr. Hussain completed a PhD in Fluid Mechanics from Quaid-i-Azam University, Islamabad, followed by multiple diplomas and certifications, most recently in Data Science and Computer Aided Design In Mechanical Engineering at the National University of Sciences and Technology, Islamabad. His earlier qualifications include an MSc and MPhil in Applied Mathematics from Quaid-i-Azam University.

🏢Experience:

With over a decade in academia, Dr. Hussain currently serves as Head of the Mathematics Department at the University of Baltistan, Skardu. His roles have included lecturer positions and research associate roles at multiple institutions, with a focus on applied mathematics and fluid mechanics. He has progressively taken on more administrative responsibilities, including serving on various university committees and leading examination processes for affiliated colleges.

🛠️Skills:

Dr. Zakir Hussain possesses extensive expertise in various technical and computational techniques, including Python, MATLAB, Mathematica, ANSYS, COMSOL, and advanced numerical methods like the Keller Box and Finite Volume Method. His skills span data science, machine learning, artificial intelligence, and computational fluid dynamics, along with specific proficiencies in data visualization, image processing, and numerical simulations.

Awards :

Dr. Hussain is a highly recognized academic, having reviewed over 20 leading international journals and authored more than 141 articles, with a collective impact factor exceeding 150. His accolades include merit scholarships during both his MPhil and PhD studies, in addition to his participation in varsity athletics, representing Quaid-i-Azam University in hockey and athletic championships.

Conclusion:

Dr. Zakir Hussain’s credentials make him a suitable candidate for the Best Researcher Award, with his numerous high-impact publications, academic service, and research contributions establishing him as a leader in his field. Enhancing international collaborations and research funding opportunities would further bolster his already strong candidacy for this honor.

 

Research Focus:

Dr. Hussain’s research interests are centered on data science, artificial intelligence, and fluid dynamics, with a specific focus on machine learning, deep learning, and neural networks. His expertise includes applied mathematics in computational fluid dynamics and non-Newtonian fluid flow, numerical simulations in blood flow and boundary layer analysis, as well as innovative applications of AI in mathematical modeling and data-driven solutions in fluid dynamics.

Publications :
  • Hussain, Z., Alghamdi, M., Aslam, M. N., & Muhammad, T. (2025). Morlet-wavelet neural networks and sensitivity analysis in magnetized peristaltic flow subject to Soret–Dufour effects: An unsupervised approach. International Communications in Heat and Mass Transfer, 160, 108259.

 

  • Hussain, Z., Fazia, & Anwar, M. S. (2024). Neural network approach to investigate heat transfer in SWCNTs nanofluid within trapezoidal cavity with varied corrugated rod amplitudes. Physica Scripta, 99(10), 105257.

 

  • Hussain, Z., Alghamdi, M., Muhammad, T., & Anwar, M. S. (2024). Lid-driven effect on convective heat transfer with heated rods in a modified equilateral triangular cavity. Case Studies in Thermal Engineering, 61, 104908.

 

  • Anwar, M. S., Alam, M. M., Khan, M. A., Hussain, Z., & Puneeth, V. (2024). Generalized viscoelastic flow with thermal radiations and chemical reactions. Geoenergy Science and Engineering, 232, 212442.

 

  • Hussain, Z., Alghamdi, M., Fozia, Ali, M. R., & Aslam, M. (2023). Significance of mixed convective heat transfer model in an equilateral triangular enclosure subjected to cylindrical heated objects inside. Case Studies in Thermal Engineering, 47, 103027.

 

  • Anwar, M. S., Hussain, M., Hussain, Z., Puneeth, V., & Irfan, M. (2023). Clay-based cementitious nanofluid flow subjected to Newtonian heating. International Journal of Modern Physics B, 37(14), 2350140.

 

  • Alghamdi, M., Fatima, B., Hussain, Z., Nisar, Z., & Alghamdi, H. A. (2023). Peristaltic pumping of hybrid nanofluids through an inclined asymmetric channel: A biomedical application. Materials Today Communications, 35, 105684.

 

  • Raza, U., Anwar, M. S., Ali, H., Irfan, M., & Hussain, Z. (2023). Fixed points in n-gonal graphical b-metric spaces under contractive conditions. International Journal of Modern Physics B, 37(4), 2350039.

 

  • Anwar, M. S., Puneeth, V., Hussain, M., Hussain, Z., & Irfan, M. (2023). Heat Convection in a Viscoelastic Nanofluid Flow: A Memory Descriptive Model. Journal of Applied Nonlinear Dynamics, 12(2), 363–378.

 

  • Hussain, Z., Alshomrani, A. S., Muhammad, T., & Anwar, M. S. (2022). Entropy analysis in mixed convective flow of hybrid nanofluid subject to melting heat and chemical reactions. Case Studies in Thermal Engineering, 34, 101972.

Jianliang Gao | simulation |Best Researcher Award

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Dr. Jianliang Gao | simulation |Best Researcher Award 

Dr.Jianliang Gao,South China University of Technology,China

Dr. Jianliang Gao is a distinguished professor at the South China University of Technology in China, known for his expertise and contributions in advanced materials engineering. His research focuses on materials science, nanotechnology, and applications of novel materials in energy and environmental solutions. Dr. Gao has published extensively in prestigious journals and has received multiple accolades for his innovative research. He actively collaborates with industry and academic partners worldwide, advancing cutting-edge technologies and inspiring the next generation of engineers and scientists.

Summary:

Dr. Jianliang Gao is a dedicated and well-published researcher with a strong foundation in acoustics research, including sound field simulations and site measurements. His academic journey, awards, and research funding all illustrate his deep commitment to advancing knowledge in architectural acoustics. His recent research funding and his postdoctoral role at a prominent Chinese university highlight his potential to make impactful contributions to the field.

Professional Profiles:

Scopus

🎓Education:

Dr. Jianliang Gao has an extensive educational background in architectural acoustics. He earned his Ph.D. in Architectural Acoustics from the Hong Kong Polytechnic University in 2021, under the guidance of notable supervisors including Prof. Shiu Keung Tang, Prof. Shuoxian Wu, and Prof. Yuezhe Zhao. Earlier, he pursued part of his Ph.D. at South China University of Technology but eventually completed his doctoral studies in Hong Kong. His master’s degree, M.Sc. in Building Technology Science, was awarded by the South China University of Technology in 2014. Dr. Gao also holds a B.Sc. in Architecture from the China University of Petroleum, where he began his academic journey.

🏢Experience:

Currently, Dr. Gao serves as a Postdoctoral Fellow at the State Key Laboratory of Subtropical Building and Urban Science within the School of Architecture at the South China University of Technology. His research, overseen by Prof. Yuezhe Zhao, focuses on critical areas in architectural acoustics. He has also gained valuable teaching experience as a lecturer and supervisor in architectural courses, such as CAD fundamentals, at institutions including The Hong Kong Polytechnic University and Guangdong Polytechnic of Science and Technology.

🛠️Skills:

Dr. Gao’s skills are specialized in room acoustics, acoustic scale model experimentation, signal processing and analysis, and sound absorption and scattering properties of materials. His expertise further extends to computer simulations and site measurement of sound fields in performance halls. Additionally, he is proficient in using scientific software and methodologies to analyze complex acoustic environments.

Awards :

Dr. Gao has received numerous awards and honors, notably including the Postdoctoral Fellowship of the Pearl River Talent Scheme (2022-2024), which supports distinguished researchers in Guangdong Province. During his Ph.D. studies, he was awarded a full scholarship by The Hong Kong Polytechnic University and received several scholarships and awards for academic excellence throughout his educational journey, including the First Class Academic Scholarship for Masters from the South China University of Technology.

Conclusion:

Dr. Jianliang Gao is a highly suitable candidate for the Research for Best Researcher Award. His achievements and dedication to acoustics research, combined with a proactive approach to both publishing and grant acquisition, underscore his readiness for this recognition. With further outreach and cross-disciplinary engagements, he could increase the influence of his work even further, making him an outstanding candidate for this award.

Research Focus:

Dr. Gao’s research is primarily centered on architectural acoustics, specifically in areas such as room acoustics, energy decay in performance spaces, and acoustical parameters in theaters and auditoriums. His work often involves experimental and computational approaches to analyze and optimize sound properties in various architectural settings, with a recent focus on the acoustics of proscenium theaters and the vocal characteristics relevant to performance halls in Chinese folk singing. Dr. Gao’s contributions are evidenced by his publications in reputable journals and presentations at international conferences..

Publications :

  • “Semi-analytical prediction of energy-based acoustical parameters in proscenium theatres”
    • Authors: Gao, J.; Keung Tang, S.; Zhao, Y.; Wu, S.; Vorländer, M.
    • Journal: Applied Acoustics
    • Year: 2025
    • Citations: 0

 

  • “The Effects of Sound Absorption of Stage House on the Acoustics of Auditorium in an Opera House”
    • Authors: Gao, J.; Zhao, Y.; Pan, L.
    • Journal: Buildings
    • Year: 2024
    • Citations: 1

 

  • “Aero-acoustics study of coupled cavities in close proximity along a rectangular flow duct at low Mach number”
    • Authors: Tang, Y.J.; Gan, L.; Liang, C.; Gao, J.L.; Zhang, S.Z.
    • Journal: Journal of Physics: Conference Series
    • Year: 2024
    • Citations: 0

 

  • “On the performance of existing acoustic energy models when applied to multi-purpose performance halls”
    • Authors: Gao, J.; Tang, S.K.; Zhao, Y.; Cai, Y.; Pan, L.
    • Journal: Applied Acoustics
    • Year: 2020
    • Citations: 6

 

  • “Factors influencing scattering coefficient measurement accuracy in scaled reverberation room”
    • Authors: Pan, L.; Zhao, Y.; Gao, J.
    • Journal: Applied Acoustics
    • Year: 2020
    • Citations: 5

 

  • “Applicability analysis of the revised acoustic energy model for concert auditoriums to predict energy relations in a scaled opera house”
    • Authors: Gao, J.; Tang, S.-K.; Zhao, Y.; Wu, S.
    • Year: 2017
    • Citations: 2