Peilin Shao | AI and Automation in Architecture | Young Researcher Award

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Assist. Prof. Dr. Peilin Shao | AI and Automation in Architecture | Young Researcher Award

Lecturer | Shanxi Datong University | China

Assist. Prof. Dr. Peilin Shao is a Lecturer at Shanxi Datong University specializing in intelligent manufacturing, with academic training in industrial and manufacturing systems engineering as well as mechanical design, manufacturing, and automation. He has been actively involved in advanced research on assembly process modeling, knowledge graph construction, and AI-driven inference, contributing to projects that integrate large language models with manufacturing knowledge systems and supporting intelligent decision-making in complex engineering processes. His work encompasses assembly deviation analysis, process knowledge graph frameworks, and intelligent question-answering methods, with publications in reputable journals such as the Proceedings of the Institution of Mechanical Engineers, Applied Sciences, and the International Journal of Advanced Manufacturing Technology, alongside conference contributions in intelligent networked systems. Dr. Shao has demonstrated research leadership through collaborative projects and scholarly contributions that advance intelligent manufacturing. His research impact includes 8 citations, 5 publications, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

1. Qiao L., Shao P., Zhao H., Huang Z., An assembly deviation calculation method based on surface deviation modeling for circumferential grinding plane. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 2021.

2. Shao P., Huang Z., Qiao L., A novel assembly knowledge graph construction framework enhanced by large language model. Int. J. Adv. Manuf. Technol., 2025, Accepted.

Dr. Peilin Shao’s work advances intelligent manufacturing by integrating large language models with assembly process knowledge, enabling smarter, data-driven engineering decisions. His vision is to accelerate industry transformation through AI-enabled knowledge engineering that fosters sustainable, high-precision, and globally competitive manufacturing practices.

Minoor Lamian | Parametric Design | Best Researcher Award

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Dr. Minoor Lamian | Parametric Design | Best Researcher Award

Faculty Member | Tarbiat Modares University | Iran

Professor Minoor Lamyian is a distinguished Professor in the Department of Reproductive Health and Midwifery at Tarbiat Modares University, Tehran, Iran, specializing in maternal and child health, reproductive health, and health education. She holds a Ph.D. in Health Education, an M.Sc. in Maternal and Child Health from Tarbiat Modares University, and a B.Sc. in Midwifery from Shiraz University of Medical Sciences. With extensive academic service since the early 1990s, she has held leadership positions including Deputy Director of the Midwifery Department and Manager of the Medical Center at Tarbiat Modares University, while mentoring numerous students and professionals in the field. Her research focuses on women’s health literacy, safe motherhood, breastfeeding promotion, breast cancer prevention, and the application of behavior models and qualitative methods in reproductive health. She has authored numerous publications in international journals, including recent works on maternal nutrition, fertility preservation, and the psychosocial dimensions of women’s health, making significant contributions to public health scholarship. Professor Lamyian has also advanced scientific discourse through editorial roles with journals such as the Health Education & Promotion Journal and Social Behavior Research & Health Journal, and she actively contributes as a member of professional societies including the Breastfeeding Promotion Society of Iran. Her international academic engagement includes research collaboration at the University of Helsinki’s Finnish Cancer Registry. Recognized for her leadership, research excellence, and commitment to women’s health, Professor Lamyian continues to serve as a respected educator, researcher, and advocate in reproductive health and maternal well-being. She has 973 citations by 931 documents, 62 published documents, and an h-index of 17.

Profile: ORCID | Scopus

Featured Publications

1. Safaralinezhad A., Lamyian M., Ahmadi F., Hosseinkhani Z., Montazeri A., Development and psychometric properties of the Mental Health Literacy Scale for women of reproductive age: A mixed method study. Health Sci. Rep., 2025, 10.1002/hsr2.71227.

2. Moradi S., Lamyian M., Sahebi L., Investigating the prevalence and factors affecting pre-term and post-term labor in the 6 months before and after the Covid-19 pandemic: A comparative study. Payesh (Health Monitor) J., 2025, 10.61186/apyesh.24.3.355.

3. Bagheri M., Lamyian M., Sadighi J., Ahmadi F., Mohammadi-Nasrabadi F., Development and validation of a food security assessment questionnaire for pregnancy. Payesh (Health Monitor) J., 2025, 10.61186/payesh.24.2.269.

4. Roshandel S., Lamyian M., Azin S.A., Mohammadi E., Haghighat S., Providing fertility preservation services in breast cancer patients and barriers to receiving them in Iran: A qualitative study. J. Breast Dis., 2025, 10.61186/ijbd.18.1.107.

5. Bagheri M., Lamyian M., Sadighi J., Ahmadi F., Mohammadi-Nasrabadi F., Food security during pregnancy: A qualitative content analysis study in Iran. Matern. Child Nutr., 2025, 10.1111/mcn.13725.