Prof. Posen Lee | Computer Technology for Design and Simulation | Best Researcher Award

Prof. Posen Lee | I-Shou University | Taiwan

Prof. Posen Lee is an interdisciplinary scholar whose research advances psychiatric occupational therapy through the integration of psychometrics, artificial intelligence, and rehabilitation technology. His work focuses on developing and validating assessment tools for schizophrenia and other psychiatric disorders, applying AI-based motion and image analysis to rehabilitation practices, and conducting quantitative gait and balance studies in older adults and individuals with mental health conditions. He has contributed to the refinement of clinical communication assessment through the creation of a psychiatric OT-specific OSCE model and has led multiple government- and hospital-funded projects published in SCI and SSCI journals such as Biosensors, Bioengineering, Sensors, and the Asian Journal of Psychiatry. With 281 citations across 274 documents, 23 publications, and an h-index of 9, his scholarly work strengthens evidence-based mental health rehabilitation and promotes technology-enhanced, client-centered occupational therapy practice.

Profile: Scopus

Featured Publications :

Group Dynamics in Occupational Therapy: Applications and Innovations Publisher.

Updated Group Dynamics in Occupational Therapy Publisher.

Occupational Therapy for Common Geriatric Disorders Publisher.

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.