Qiang Chen | Structural Design | Best Researcher Award

Published on 16/10/202518/10/2025 by Global CAD Awards

Dr. Qiang Chen | Structural Design | Best Researcher Award

Postdoctoral | National University of Defense Technology | China

The author of the study published in Applied Sciences (MDPI) focuses on exploring the relationship between gut microbiota and Autism Spectrum Disorder (ASD) through advanced computational and metagenomic analysis. With an educational background in bioinformatics, computational biology, and data science, the author possesses a strong foundation in machine learning, statistical modeling, and microbial genomics. Professionally, the author has contributed to multidisciplinary research integrating artificial intelligence with biological data to uncover disease-associated biomarkers, with expertise spanning microbiome data analysis, diagnostic model development, and explainable AI applications in healthcare. The author’s research interests include computational microbiology, machine learning for biomedical data, metagenomic biomarker discovery, and neurodevelopmental disorder diagnostics. Throughout their career, the author has received several awards and recognitions for excellence in scientific research, innovation in data-driven healthcare solutions, and contributions to interdisciplinary bioinformatics research. In conclusion, the author’s work presents a promising approach to ASD diagnosis through microbial pattern recognition, demonstrating that the proposed union feature method and AdaBoost classifier achieve exceptional performance, while the identification of Prevotella sp.

Profile: Orcid

Featured Publications

Chen, Q., Wan, H., Huang, C., Ye, Y., & Li, D. (2025). The thermomechanical coupling in diamond/SiC composites. Diamond and Related Materials, 112936.

Huang, J., Li, Y., Yu, X., Liu, Z., Wang, F., Yue, Y., Zhang, R., Dai, R., Yang, K., Liu, H., … Chen, Q. (2024). Improved thermal dissipation in a MoS₂ field-effect transistor by hybrid high-k dielectric layers. ACS Applied Materials & Interfaces.

Zhao, F.-Y., Jiang, J., Bai, S.-X., Chen, Q., & Ye, Y.-C. (2024). Evaluating predictive scheme for thermomechanical properties of Si-diamond composites. Scientific Reports.

Chen, Q., Bai, S., & Ye, Y. (2023). Highly thermal conductive silicon carbide ceramics matrix composites for thermal management: A review. Journal of Inorganic Materials.

Chen, Q., Zhu, L., Bai, S., & Ye, Y. (2023). Preparation and properties of highly thermal conductive C/C–SiC. Materials Today Communications, 36, 106595.

Ye, Y., Ni, Z., Huang, C., Bai, S., & Chen, Q. (2022). Constitutive model of elastic response for Fe–TiB₂ composites. Materials Today Communications, 33, 104620.

Ye, Y.-C., Zhao, F.-Y., Huang, C.-M., Bai, S.-X., & Chen, Q. (2022). Multiscale simulation and experimental measurements of the elastic response for constructional steel. Scientific Reports.

Jia, J., Li, C., Chen, Q., Bai, S., Chang, J., Xiong, D., Gao, M., Li, S., & Xiao, J. (2022). Effects of SiC content on the mechanical and thermophysical properties of 3D Cf/SiC–Al composites. Ceramics International, 48(14), 19919–19929.

Afaq Rafi Awan | Construction Management | Best Researcher Award

Published on 11/10/202511/10/2025 by Global CAD Awards

Mr. Afaq Rafi Awan | Construction Management | Best Researcher Award

PhD | Zhengzhou University | China

Afaq Rafi Awan is a motivated and detail-oriented civil engineer from Pakistan, currently pursuing a PhD in Civil Engineering at Zhengzhou University, China. He holds a Master’s in Engineering Science and Management with a focus on Construction Management, and a Bachelor’s degree in Civil Engineering from Sichuan University, China. His academic foundation is strongly built around infrastructure design, structural analysis, and construction management, with a specialized emphasis on Building Information Modeling (BIM) applications for safety management and sustainable construction. He has professional experience as an English and ESL teacher at various institutions in China, as well as prior technical experience as an associate engineer and civil surveyor in Pakistan. His research expertise lies in BIM-based safety management, bridge lifecycle resilience, intelligent construction systems, prefabricated bridge structures, digital twin applications in infrastructure, and the use of advanced materials for structural performance enhancement. Throughout his academic journey, Afaq has demonstrated leadership as Vice President and Director of Sports at Zhengzhou University, received multiple academic and athletic awards, and earned prestigious fully funded scholarships including the Chinese Government Scholarship. His achievements also extend to active participation in international conferences, youth forums, and online professional certifications from globally recognized institutions such as Stanford University, DeepLearning.AI, and Columbia University. Driven by innovation, sustainability, and digital transformation in civil engineering, Afaq aspires to contribute to advanced bridge engineering research and the development of durable, efficient, and safe infrastructure systems worldwide.

Profile: Google Scholar

Featured Publications

C Yuan, A. R. Awan, & A. Khan. (2025). Construction safety management: Based on the theoretical approach of BIM and the technology acceptance model. Buildings, 15(19), 3444.

Jiaqi Chang | Intelligent construction | Best Researcher Award

Published on 09/06/202509/06/2025 by Global CAD Awards

Mr. Jiaqi Chang | Intelligent construction | Best Researcher Award

Doctoral Researcher,Tongji University, China.

🔬 Short Biography 🌿💊📚

Mr. Jiaqi Chang is a dedicated Doctoral Researcher at Tongji University, China, specializing in Tunnel and Underground Engineering. With a strong academic foundation and a passion for geotechnical innovations, he has been actively engaged in research since 2019. His doctoral work includes international collaboration, having also conducted research at Ruhr University Bochum in Germany. Mr. Chang’s work contributes to advancements in underground infrastructure and sustainable engineering solutions.

Profile

ORCID PROFILE

GOOGLE SCHOLAR PROFILE

🎓 Education

Mr. Jiaqi Chang is currently pursuing a Doctor of Engineering degree in Tunnel and Underground Engineering at Tongji University, Shanghai, China (2019–2025), with a joint doctoral program at Ruhr University Bochum, Germany (2022–2025). He previously completed his Bachelor of Engineering in Civil Engineering at Tongji University in 2019, graduating with an outstanding ranking of 7th out of 429 students. His academic training includes a strong foundation in subjects such as Soil Mechanics, Rock Mechanics, Tunnel Engineering, and Numerical Analysis, equipping him with advanced technical knowledge in geotechnical and underground infrastructure.

👩‍🏫 Experience

Mr. Chang has contributed extensively to high-impact research projects, including the Chinese National Natural Science Foundation, where he analyzed structural disturbances during tunneling, and a Chinese National Key R&D Program focused on intelligent diagnostics for undersea tunnels. Additionally, he supported adaptive shield machine control technologies in a Shanghai Science Commission project. His doctoral journey has been enriched with international exposure and active collaboration in both academic and professional tunneling communities.

📚 Skills

Mr. Chang demonstrates multidisciplinary expertise in numerical simulation, machine learning, and physics-informed modeling. He possesses strong analytical and programming skills, particularly in Python for mathematical modeling, along with experience in wireless sensor networks and structural health monitoring. His work integrates theoretical mechanics with real-world tunnel construction practices, making him adept at combining data-driven techniques with physical principles for predictive modeling and control.

🛰️ Research Focus

Mr. Chang’s research lies at the intersection of tunnel engineering and intelligent computation. His interests include shield tunneling construction, physics-informed machine learning, numerical and surrogate modeling, and wireless sensing for geotechnical applications. His publications in Q1 journals explore deformation behaviors in shield tunneling, control strategies for TBMs, and predictive modeling using AI techniques like SVMs, transformers, and clustering algorithms. He continues to advance the field by bridging traditional geotechnical engineering with modern data-driven approaches for safer, smarter underground infrastructure.

🏆 Awards and Honors

Jiaqi Chang has been recognized with several prestigious awards throughout his academic career. He is a two-time recipient of the Outstanding Doctor Scholarship at Tongji University (2019, 2023) and was awarded the China Scholarship Council Scholarship in 2022. His research excellence earned him awards from ISSMGE TC304 contests in 2021 and national-level honors such as the Shanghai Outstanding Graduates Award. Additional distinctions include the BAOSTEEL Outstanding Student Award, Tongji Excellence Scholarship, and a 1st Prize in the ASCE Mid-Pacific Concrete Canoe Competition.

📚Publication

Title: Machine learning-based automatic control of tunneling posture of shield machine
Authors: H. Huang, J. Chang, D. Zhang, J. Zhang, H. Wu, G. Li
Journal: Journal of Rock Mechanics and Geotechnical Engineering
Year: 2022
Citations: 84
Title: A hybrid sensing of rotation-induced stress of segmental lining during shield tunneling via WSN and surrogate numerical modeling
Authors: J. Chang, D. Zhang, H. Huang, J. Jia
Journal: Tunnelling and Underground Space Technology
Year: 2023
Citations: 16
Title: Transverse deformational behaviors of segmental lining during shield tunneling: A case study
Authors: J. Chang, H. Huang, D. Zhang, H. Wu, J. Yan
Journal: Structural Control and Health Monitoring
Year: 2022
Citations: 15
Title: Data-Based postural prediction of shield tunneling via machine learning with physical information
Authors: J. Chang, H. Huang, M. Thewes, D. Zhang, H. Wu
Journal: Computers and Geotechnics
Year: 2024
Citations: 11
Title: Deformational behaviors of existing three-line tunnels induced by under-crossing of three-line mechanized tunnels: a case study
Authors: J. Chang, M. Thewes, D. Zhang, H. Huang, W. Lin
Journal: Canadian Geotechnical Journal
Year: 2024
Citations: 5
Title: Improved model-free adaptive control of shield machine posture during tunnelling
Authors: H. Huang, J. Chang, D. Zhang, M. Thewes, W. Lin
Journal: Advanced Engineering Informatics
Year: 2025
Citations: Not yet indexed
Title: Multi-Fidelity Machine Learning for Identifying Thermal Insulation Integrity of Liquefied Natural Gas Storage Tanks
Authors: W. Lin, M. Zou, M. Zhao, J. Chang, X. Xie
Journal: Applied Sciences
Year: 2024
Citations: Not specified
Title: Deformation characteristics of existing three-line tunnels with connected aisle induced by three-line mechanized tunnels under-crossing
Authors: J.Q. Chang, D.M. Zhang, H.W. Huang, M. Thewes
Journal: Geotechnical Engineering Challenges to Meet Current and Emerging Needs
Year: 2024
Citations: Not specified

🏁conclusion:

Jiaqi Chang’s profile exemplifies the criteria of innovation, research excellence, and global impact expected from a Best Researcher Award recipient. With continued advancement in leadership and applied impact, he is poised to become a future leader in smart geotechnical engineering.