Qiushan Li | living environment construction | Best Researcher Award

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Qiushan Li | living environment construction | Best Researcher Award

Dr Qiushan Li, sichuan university, China

publication profile

google scholar

Education 

Dr. Qiushan Li  holds a Doctorate in Engineering from Sichuan University, China (2017-2020), specializing in Safety Science and Disaster Reduction. Prior to this, they earned a Master’s degree in Geographical Information Science from The University of Manchester, UK (2015-2016), where they honed their skills in spatial analysis and data management. Their academic journey began at Jimei University in Xiamen, China, where they obtained a Bachelor’s degree in Geographic Information System (2011-2015). With a strong foundation in geographic sciences, they are dedicated to advancing knowledge in disaster management and safety engineering. 🎓🌍🗺️✨ 

Experience 

Dr. Li obtained his Doctorate in Engineering in Safety Science and Disaster Reduction from Sichuan University and holds a Master’s in Geographical Information Science from the University of Manchester. His professional journey includes roles as an Assistant Researcher and a Postdoctoral Researcher at IDMR, where he has contributed to significant studies on post-earthquake recovery, housing reconstruction, and the sustainability of cultural landscapes. His publications in renowned journals reflect his expertise and ongoing commitment to advancing knowledge in disaster reconstruction and management. 

Research Projects

Dr. Li has led several self-directed research projects focusing on the adaptability of traditional settlements to extreme climates, disaster resilience, and the planning of emergency systems. His research initiatives have received substantial funding, enabling him to investigate the protection, repair, and utilization of traditional settlements and enhance disaster resilience capacities in high-risk areas. These projects illustrate his proactive approach and leadership in addressing pressing challenges in disaster management. 

Awards and Honors

In recognition of his impactful work, Dr. Li received the Excellent Oral Presentation Award from UNESCO in June 2023 for his keynote presentation at the 4th UNESCO World Heritage and Sustainable Development Huangshan Dialogue. His presentation highlighted the use of digital technology in traditional settlement planning and the importance of adaptive simulations in disaster recovery, showcasing his innovative contributions to the field. 

 Professional Affiliations

Dr. Li is an active member of several professional organizations, including the UNESCO U-INSPIRE Alliance, the National Science and Technology Expert Database, and the Chinese Geographical Society. He serves as an expert in the Sichuan Provincial Natural Disaster and Emergency Management Think Tank and the Sichuan Science and Technology Association, underscoring his commitment to advancing disaster management practices through collaboration and expertise. 

publication top notes

Research on post-Wenchuan earthquake recovery and reconstruction implementation: A case study of housing reconstruction of Dujiangyan City

The spatial analysis and sustainability of rural cultural landscapes: Linpan settlements in China’s Chengdu Plain

How did the built environment affect urban vibrancy? A big data approach to post-disaster revitalization assessment

Social media: new trends in emergency information

A complete reinforcement-learning-based framework for urban-safety perception

The spatial analysis and sustainability of rural cultural landscapes: Linpan settlements in China’s Chengdu Plain. Sustainability, 11 (16), 4431

Comparative analysis of urban and rural housing reconstruction post 9.21 Chi-Chi and 5.12 Wenchuan earthquakes: complexity, challenges and policy exploration

Numerical Study on the Summer High-Temperature Climate Adaptation of Traditional Dwellings in the Western Plains of Sichuan, China

Post-Earthquake Housing Reconstruction Management and Implementation in Rural Areas: Review and Lessons from Dujiangyan, Wenchuan Earthquake

Conclusion 

Dr. Qiushan Li’s comprehensive background in disaster reconstruction, innovative research methodologies, and active engagement in the academic and professional community make him an exceptional candidate for the Best Researcher Award. His dedication to enhancing disaster resilience and sustainable development continues to significantly influence the field. 

 

 

Adetayo Onososen | Construction Management | Best Researcher Award

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Adetayo Onososen | Construction Management | Best Researcher Award

Dr Adetayo Onososen, Center of Applied Research and Innovation in the Built Environment, CARINBE, Faculty of Engineering and the Built Environment University of Johannesburg, South Africa

Dr. Adetayo Olugbenga Onososen is a distinguished NRF scholar with a PhD in Construction Management, specializing in sustainable and resilient infrastructure. With nearly a decade of experience across Nigeria and South Africa, he excels in digitalization and innovative technologies within the built environment. As Editor of the Journal of Construction Innovation and Cost Management, he actively contributes to scientific forums and conferences. His research focuses on human-robot interaction and AI applications in construction, promoting safe collaboration. Dr. Onososen’s expertise encompasses Project Management, Digital Twins, and Health & Safety training using digital technologies. 🏗️📊🤖✨

Publication profile

google scholar

Professional Profile

Dr. Adetayo Olugbenga Onososen is an NRF scholar with a PhD in Construction Management, specializing in sustainable and resilient infrastructure. With nearly a decade of experience in Nigeria and South Africa, he has worked in both the private and public sectors. He serves as the Editor of the Journal of Construction Innovation and Cost Management at the University of Lagos and co-organizes the International Conference on Development and Investment in Infrastructure. His research combines experimental and empirical methods to address challenges in digitalization, focusing on innovative technologies for health and safety training and enhancing human-technology interactions. 🏗️🌍📊✨

Areas of Expertise 

Sustainable Infrastructure Development; Resilient & Responsive Infrastructure Design; Building Information Modelling; Project Management; Construction Management; Cost Management; Digitalization in Construction; Human-Robotics Interaction; Machine Learning Applications in Construction; Digital Twin Technology; Extended Reality (XR) Applications (Virtual and Augmented Reality); Artificial Intelligence (AI) in Construction; Health and Safety Training with Digital Technologies; Collaborative Human-Technology Interaction; Applied Empirical and Experimental Research in Infrastructure.

  • Construction Project Management: A published researcher, lecturer, and practitioner in this field.
  • Sustainable and Digital Infrastructure Delivery: A practitioner, published researcher, and invited speaker
  • Infrastructure development: Coordinator of research on infrastructure in Africa with the DII international conference series.

Research focus

AO Onososen’s research focuses on integrating advanced technologies, such as automation, artificial intelligence (AI), and Building Information Modeling (BIM), into the Architecture, Engineering, and Construction (AEC) industry 🌍🏗️. His work addresses sustainability in building life cycles, the benefits and challenges of digitalization, and the role of robotics and human-robot teams in enhancing resilience in construction 🤖💡. By using methods like Interpretive Structural Modeling and scientometric reviews, Onososen explores barriers and drivers for implementing green building practices and construction site digitalization, including UAVs and AI 🏢📊. His research aims to innovate and promote sustainable, tech-driven construction solutions 🌱🛠️.

Book Chapters 

Innocent Musonda, Adetayo Onososen, and colleagues have contributed significantly to the field of construction and infrastructure. Their recent work includes exploring smart and resilient infrastructure for emerging economies (2024), focusing on building better post-pandemic 🌍🏗️. In “COVID-19 and Shock Events in the AEC Sector” (2024), they discuss mitigation measures in the construction industry during crises 🏢🦠. Other notable contributions include studying the impact of shopping centers on property prices in Namibia 🏘️💼 and the use of AI in sustainable construction 🤖🌱. Their research also emphasizes remote monitoring systems for managing multiple projects efficiently 📡🔧.

Publication top notes

Barriers to BIM-based life cycle sustainability assessment for buildings: An interpretive structural modelling approach

Research focus for construction robotics and human-robot teams towards resilience in construction: Scientometric review

Perceived Benefits of Automation and Artificial Intelligence in AEC Sector: An Interpretive Structural Modelling Approach

Drivers and barriers to the implementation of green building development

Construction robotics and human–robot teams research methods

Impediments to construction site digitalisation using Unmanned Aerial Vehicles (UAVs)

Drivers of BIM-based life cycle sustainability assessment of buildings: An interpretive structural modelling approach

Artificial Intelligence (AI) in sustainable construction management: a scientometric review

Conclusion

Dr. Adetayo Onososen’s dedication to advancing sustainable infrastructure and digital technologies in construction makes him an exemplary candidate for the Best Researcher Award. His extensive experience, significant contributions to scientific literature, and active engagement in the academic community underscore his commitment to excellence in research and practice.

Jose C Matos | Civil Engineering | Best Researcher Award

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Prof Dr. Jose C Matos | Civil Engineering | Best Researcher Award

Prof Dr. Jose C Matos, University of Minho, Portugal

Based on the detailed curriculum vitae provided, Prof. Dr. José C. Matos appears to be a strong candidate for the Research for Best Researcher Award.

Publication Profile

Scopus

Google Scholar

Academic and Professional Excellence:

Prof. Dr. José C. Matos holds a PhD in Civil Engineering with a focus on probabilistic safety assessment of existing structures. His academic journey has been marked by excellence, with a unanimous and laudatory approval for his doctoral dissertation.

Research Contributions:

He has authored or co-authored over 250 publications in international conferences and journals, demonstrating a significant impact in his field. His research areas include asset management systems, life cycle costs, safety assessment, risk assessment, and sustainability.

Leadership and Coordination:

Prof. Matos plays a crucial role in leading and coordinating international research projects such as SIRMA, InfraCrit, and SAFEWAY, all of which focus on critical infrastructure management and sustainability. His involvement in these projects highlights his leadership and ability to drive impactful research.

International Recognition:

He actively participates in international committees and has held prestigious positions such as Past-President of the European Association on Quality Control of Bridges and Structures (EuroStruct) and Vice-President of the International Association for Bridge and Structural Engineering (IABSE).

Innovative Contributions:

Prof. Matos holds patents related to collision detection in metal guards, showcasing his contributions to practical and innovative solutions in civil engineering.

Global Influence:

His participation as a speaker and organizer at numerous international conferences and workshops further underscores his influence and recognition in the global academic community.

Publication Top Notes

  • 📘 An innovative adaptive sparse response surface method for structural reliability analysis | Cited by: 83 | Year: 2018
  • 🏛️ Fragility curves for free and restrained rocking masonry façades in one-sided motion | Cited by: 69 | Year: 2018
  • 🕵️‍♂️ Visual inspection and bridge management | Cited by: 63 | Year: 2018
  • 🚂 Reliability-based assessment of existing masonry arch railway bridges | Cited by: 63 | Year: 2016
  • 🏗️ Iron-Based shape memory alloy for strengthening of 113-Year bridge | Cited by: 57 | Year: 2021
  • 🚧 Two-stage multiobjective optimization of maintenance scheduling for pavements | Cited by: 51 | Year: 2017
  • 🔍 Comparison of stochastic prediction models based on visual inspections of bridge decks | Cited by: 51 | Year: 2017
  • 🌉 Performance indicators for roadway bridges | Cited by: 51 | Year: 2016
  • 🧱 Condition prediction of existing concrete bridges as a combination of visual inspection and analytical models of deterioration | Cited by: 45 | Year: 2019
  • 🏛️ Probabilistic-based assessment of a masonry arch bridge considering inferential procedures | Cited by: 39 | Year: 2017
  • 🧮 An innovative framework for probabilistic-based structural assessment with an application to existing reinforced concrete structures | Cited by: 35 | Year: 2016
  • 🌉 Probabilistic-based assessment of existing steel-concrete composite bridges–Application to Sousa River Bridge | Cited by: 34 | Year: 2019
  • 🛤️ COST Action TU 1406 quality specifications for roadway bridges (BridgeSpec) | Cited by: 34 | Year: 2016
  • 🛠️ Comparison of forecasting models to predict concrete bridge decks performance | Cited by: 32 | Year: 2020
  • 🌍 Analysis of cost overrun and schedule delays of infrastructure projects in low income economies: case studies in Ethiopia | Cited by: 29 | Year: 2021

conclusion

Given these achievements and his active role in advancing research in civil engineering, particularly in the areas of infrastructure management and safety, Prof. Dr. José C. Matos is a suitable candidate for the Research for Best Researcher Award.