Weijie Xia | Architecture | Best Researcher Award

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Mr. Weijie Xia | Architecture | Best Researcher Award

Weijie Xia | Hebei University of Architecture | China

Mr. Weijie Xia is a postgraduate student at Hebei University of Architecture specializing in thermal comfort and building environmental control. He holds a strong academic foundation with a focus on human thermal comfort, smart buildings, and urban heat island research. His professional experience includes leading and contributing to numerous research projects, with seven completed and over twenty ongoing, advancing knowledge in emotional perception modulation on thermal comfort, gender-based differences in heat response during interval exercise, and thermal comfort modeling and optimization for hospitals and historical urban spaces. As the first author, he has published three articles in leading SCI Q1 journals such as Building and Environment, Journal of Building Engineering, and Energy and Buildings, and has co-authored four additional publications in the same domain. His studies encompass a range of innovative topics including the impact of musical tempo on thermal comfort during exercise and optimized open-space design in hospital environments, reflecting his commitment to bridging theoretical insights with practical environmental applications. With a growing citation record and active engagement in interdisciplinary research, his contributions are recognized for their methodological rigor and relevance to real-world building performance and occupant well-being. He has 16 citations, 7 publications, and an h-index of 3.

Profiles: Scopus | ORCID

Featured Publications

1. Xia, W.*, Li, D., Sun, M., Liu, J., Zhen, M., & Liang, H. (2025). A gender-differentiated thermal comfort model for interval exercise in fitness building. Journal of Building Engineering.

2. Zhen, M., Liu, J., Xia, W., Sun, M., Dong, Q., Li, Y., & Liang, H. (2025). Thermal comfort differences among patients with different orthopedic diseases: A case study of Shaanxi Provincial People’s Hospital, China. Building and Environment.

3. Zhen, M., Xia, W.*, Sun, G., Huang, C., & Ji, J. (2025). Optimized design of hospital open space based on outdoor thermal comfort: The case of Shaanxi People’s Hospital in China. Energy and Buildings.

4. Zhen, M., Xia, W.*, & Lin, D. (2024). Effects of musical tempo on human thermal comfort during interval exercise. Building and Environment.

5. Zhen, M., Yuan, X., Gao, L., Xia, W.*, Nan, K., & Zhang, M. (2024). Outdoor thermal comfort of urban plaza space under thermoacoustic interactions: Taking Datang Everbright City as an example. Building and Environment.

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.

Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

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Mrs. Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

Full-time Faculty Member at Islamic Azad University, Iran.

Maryam Sadeghi is an accomplished researcher and faculty member in Electrical Engineering, specializing in smart grids, distributed control, and intelligent energy systems. She has served as a full-time instructor at the Islamic Azad University, Islamshahr Branch, where she has also chaired the Power Engineering Department. Over the years, she has successfully combined teaching, supervision, and leadership with impactful research contributions. As a PhD candidate at the Iran University of Science and Technology, her doctoral work has advanced the field of power systems with an emphasis on adaptive and intelligent control. Beyond academia, she has actively collaborated with national research and industrial centers, particularly in areas such as SCADA applications, FPGA development, and distributed automation. Her career demonstrates a consistent focus on renewable energy integration, intelligent universal transformers, and advanced automation, positioning her as a thought leader in the evolving landscape of modern electrical engineering.

Professional Profile

Google Scholar

Education

Maryam Sadeghi’s educational background reflects a strong and progressive journey through electrical engineering disciplines. She earned her B.Sc. in Electrical Engineering with a focus on Electronics from the Islamic Azad University, Tehran Central Branch. She further specialized in Control Systems at the M.Sc. level from Islamic Azad University, Tehran South Branch, where she explored adaptive control methodologies. To expand her expertise in the energy sector, she pursued doctoral studies in Electrical Engineering with a specialization in Power Systems at the Iran University of Science and Technology. Her PhD research, with defense approved, focuses on advanced power system automation and intelligent control strategies, including adaptive neuro-fuzzy inference systems and multi-agent approaches for smart grids. Through this academic journey, she has built deep expertise in intelligent systems, renewable integration, and distributed energy automation, forming the backbone of her subsequent teaching, research, and industry collaborations in both traditional and emerging power engineering domains.

Experience 

Maryam Sadeghi has built a multifaceted career blending academia, research, and industry collaboration.  She has been a full-time faculty member at the Islamic Azad University, Islamshahr Branch, teaching undergraduate and graduate courses in power systems and control. As Head of the Power Engineering Department for four years, she led curriculum development, faculty coordination, and student mentorship. Her industry-linked research experience includes a decade as Senior Researcher at Novin Ray Control Co., where she worked on solar energy monitoring, SCADA systems, and energy management integration. She has also contributed to telecommunication research through FPGA-based SDH system design, and to control systems development in distributed automation protocols, particularly IEC 61499. These roles reflect her ability to connect theoretical knowledge with practical applications. Her experience across teaching, applied research, and leadership showcases her as a versatile expert committed to advancing both education and innovation in intelligent energy systems.

Research Focus

Maryam Sadeghi’s research is centered on intelligent power systems, with a focus on adaptive control, fuzzy logic, and distributed automation for modern grids. Her work on Intelligent Universal Transformers (IUTs) has introduced innovative control methodologies using fuzzy logic, artificial neural networks, and genetic algorithms to optimize distribution automation. She has also contributed to decentralized multi-agent coordination frameworks for smart distribution restoration, enabling resilience and flexibility in power networks. Her studies in renewable energy integration—particularly inverter-based distributed generation and wind turbine inverters—highlight her commitment to sustainable energy solutions. Additionally, she has advanced methodologies in GPS-based time synchronization and IEC 61499-based distributed control systems. By combining advanced algorithms with real-world applications such as SCADA and EMS, she bridges the gap between theory and practice. Her research trajectory demonstrates a consistent pursuit of scalable, adaptive, and intelligent solutions for next-generation power grids within the context of smart cities and sustainable development.

Awards and Honors

Maryam Sadeghi has received recognition for her academic and research contributions at both institutional and national levels. She has been nominated for the ARCH Best Researcher Award, reflecting her impactful body of work in power systems and control. Her multiple ISI-indexed publications in smart grids, intelligent automation, and renewable energy integration demonstrate her influence in advancing knowledge in her field. As a contributor to national research centers in Iran, she has played a significant role in developing and implementing control solutions aligned with national energy and telecommunication priorities. Her leadership as Head of the Power Engineering Department also underscores her recognition as an academic mentor and innovator. The combination of research excellence, teaching distinction, and industrial collaboration has positioned her as a respected figure within the engineering community. These honors highlight her dedication to advancing intelligent energy solutions and promoting the integration of innovative methodologies into modern power systems.

Publication Top Notes

Title: Time Synchronizing Signal by GPS Satellites
Authors: M. Sadeghi, M. Gholami
Summary: This paper simulates GPS-based synchronization in MATLAB to achieve high-precision timing. It highlights GPS as a reliable solution for communications and distributed automation systems.

Title: Fuzzy Logic Approach in Controlling the Grid Interactive Inverters of Wind Turbines
Authors: M. Sadeghi, M. Gholami
Summary: The study applies fuzzy logic to enhance grid-connected wind turbine inverter performance. Results show improved stability and efficiency under varying wind conditions.

Title: Advanced Control Methodology for Intelligent Universal Transformers Based on Fuzzy Logic Controllers
Authors: M. Sadeghi, M. Gholami
Summary: The authors propose fuzzy logic controllers for Intelligent Universal Transformers (IUTs). The approach improves adaptability and response in advanced distribution automation.

Title: A Novel Distribution Automation Involving Intelligent Electronic Devices as IUT
Authors: M. Sadeghi, M. Gholami
Summary: This paper presents IUTs as intelligent devices for distribution automation. It demonstrates improved grid reliability and fault management.

Title: Fully Decentralized Multi-Agent Coordination Scheme in Smart Distribution Restoration: Multilevel Consensus
Authors: M. Sadeghi, M. Kalantar
Summary: The research introduces a decentralized multi-agent consensus method for smart distribution restoration. It enhances system resilience and scalability without central control.

Title: Developing Adaptive Neuro-Fuzzy Inference System for Controlling the Intelligent Universal Transformers in ADA
Authors: M. Sadeghi, M. Gholami
Summary: An ANFIS-based controller is developed for IUTs to improve adaptability and precision. The hybrid method outperforms conventional control strategies.

Title: Genetic Algorithm Optimization Methodology for PWM Inverters of Intelligent Universal Transformer for the Advanced Distribution Automation of Future
Authors: M. Sadeghi, M. Gholami
Summary: The study uses genetic algorithms to optimize PWM inverters in IUTs. It reduces harmonic distortion and improves inverter efficiency.

Title: Optimized Control Strategy to Adjust the Intelligent Universal Transformer for Integrating Distributed Resources to Grid
Authors: M. Sadeghi, M. Gholami
Summary: This work introduces an optimized control strategy for IUTs to integrate distributed energy resources. It ensures stable and flexible grid operations.

Conclusion

Overall, Maryam Sadeghi is a strong candidate for the Best Researcher Award. Her research reflects both depth and breadth in intelligent power systems, with practical applications that align with the future of energy distribution and smart grid technologies. With her combination of academic leadership, teaching excellence, and impactful research, she demonstrates qualities that merit recognition. By expanding her international reach and enhancing visibility through broader collaborations and higher-impact publications, she can further solidify her position as a leading researcher in her domain.