Huaibin Li | 3D Printing in Construction | Best Scholar Award

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Prof. Dr. Huaibin Li | 3D Printing in Construction | Best Scholar Award

Lecturer | Anhui University of Science and Technology | China

Dr. Huaibin Li is a Lecturer in the School of Safety Science and Engineering at Anhui University of Science and Technology, with expertise in rock mechanics, underground engineering, and mining safety engineering. He is actively engaged in teaching and research and has participated in multiple nationally funded scientific programs as well as several industry-commissioned projects focused on rock mass behavior, hydraulic fracturing, and high-strength support systems for underground structures. His research centers on rock mass mechanical properties, fracture propagation mechanisms, tunnel stability, and advanced underground support technologies, and he has authored 25 peer-reviewed publications addressing these areas. His scholarly contributions have been recognized through prestigious national and provincial science and technology awards from leading professional societies in rock mechanics and mining engineering, demonstrating his professional impact and academic standing. His research impact includes 173 citations across 168 documents and an h-index of 8.

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Featured Publications

Zhexu Xi | Materials and Technology in Architecture | Research Excellence Award

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Dr. Zhexu Xi | Materials and Technology in Architecture | Research Excellence Award

Assistant Researcher | University of Oxford | United Kingdom

Dr. Zhexu Xi is an Assistant Researcher at the Inorganic Chemistry Laboratory of the University of Oxford, an invited Visiting Professor at the Hong Kong Institute of Technology, and a Guest Professor with the North American Artificial Intelligence Agency, specializing in inorganic nanoscience, interfacial functional nanomaterials, and AI-assisted materials design. His professional experience spans leading projects on two-dimensional transition-metal clusters for electrocatalysis, magnetic nanoparticle platforms for microfluidic enrichment, and ultrafast carrier dynamics in quantum-dot heterostructures, along with advancing AI-driven prediction frameworks for nanomaterials and contributing to climate-adaptive permeable pavement research. He has published more than thirty peer-reviewed papers across SCI journals and major WoS-indexed conferences, authored patents and book chapters, and delivered interdisciplinary contributions integrating nanoscience, materials chemistry, machine learning, and environmental engineering. Dr. Xi has received distinctions including the Emerging Scientist Award and a Best Paper Award nomination, and he serves as Youth Editorial Board Member of J. Mater. Sci., invited editor for MC Pharm. Sci., annual fellow of J. Water Res., peer reviewer for leading journals such as Nat. Commun. and ACS Appl. Mater. Interfaces, and guest editor for multiple special issues across SCI journals and international conferences, while also contributing to academic leadership through conference chair roles and professional memberships supporting innovation in materials chemistry and AI-driven science. His research impact includes 106 citations, 11 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Z. Xi, Revisiting the Marcus Inverted Regime: Modulation Strategies for Photogenerated Ultrafast Carrier Transfer from Semiconducting Quantum Dots to Metal Oxides. RSC Adv., 2025, 15, 26897–26918.

2. G. Jin, C. Liu, Z. Xi, H. Sha, Y. Liu, J. Huang, Adaptive dual-view wavenet for urban spatial–temporal event prediction. Inf. Sci., 2022, 588, 315–330.

3. G. Jin, Z. Xi, H. Sha, Y. Feng, J. Huang, Deep multi-view graph-based network for citywide ride-hailing demand prediction. Neurocomputing, 2022, 510, 79–94.

4. R. Kang, H. Li, Z. Xi, S. Ringgard, A. Baatrup, K. Rickers, M. Sun, D.Q.S. Le, et al., Surgical repair of annulus defect with biomimetic multilamellar nano/microfibrous scaffold in a porcine model. J. Tissue Eng. Regen. Med., 2018, 12(1), 164–174.

5. G. Jin, Z. Xi, H. Sha, Y. Feng, J. Huang, Deep multi-view spatiotemporal virtual graph neural network for significant citywide ride-hailing demand prediction. arXiv preprint, 2020, arXiv:2007.15189.

Dr. Xi’s work advances the scientific understanding of nanomaterial interfaces and ultrafast charge dynamics while integrating AI-driven modelling to accelerate material discovery, supporting innovations that strengthen clean energy technologies and sustainable urban systems.

Lesiba George Mollo | Building Energy Efficiency | Best Researcher Award

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Dr. Lesiba George Mollo | Building Energy Efficiency | Best Researcher Award

Senior Lecturer | Central University of Technology | South Africa

Dr. Lesiba George Mollo is a Senior Lecturer in the Department of Built Environment at the Central University of Technology, Free State, South Africa, specializing in construction management and construction health and safety. He holds a PhD in Construction Management from Nelson Mandela University, where his research focused on reducing human failures in construction through the Training-Within-Industry (TWI) method. He also earned an MTech in Quantity Surveying (Cum Laude), a BTech in Quantity Surveying, and a National Diploma in Building, complemented by professional certifications in project and safety management. Dr. Mollo’s professional journey spans academic leadership as Acting Head of Department, Deputy Research Dean, and Research Chair, as well as practical roles with leading construction firms managing infrastructure, housing, and public works projects. His research expertise encompasses construction safety management, wearable sensing devices, 360° video technology for behavioral monitoring, and energy-efficient building technologies. He has published over forty scholarly outputs, including peer-reviewed journal articles, book chapters, and the authored volume Training-Within-Industry Job Programs for Improved Construction Safety (Routledge). Dr. Mollo actively contributes to academic development through postgraduate supervision, conference organization, and peer reviewing for international journals. He has received recognition for academic excellence, including the MTech Best Performance Award from Nelson Mandela University, and holds memberships in the South African Council for the Project and Construction Management Professions (SACPCMP) and the Association of South African Quantity Surveyors (ASAQS). He has 35 citations, 14 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Mollo, L. G. (2025). Evaluating the use of 360° video technology to monitor workers’ unsafe behaviour in the construction industry. In International Civil Engineering and Architecture Conference (pp. 685–693). Springer Nature Singapore.

2. Mollo, L. G., & Chomey, T. (2025). An analysis of barriers to the implementation of energy-efficient technologies in residential buildings: A quantitative approach. Buildings, 15(19), 3520.

3. Mtetwa, S. I., Mollo, L. G., & Emuze, F. (2024). Wearable sensing devices for better monitoring of health, safety, and wellbeing in construction. In Handbook of Drivers of Continuous Improvement in Construction Health, Safety, and Wellbeing (pp. 59–68). Routledge.

4. Mollo, L. G. (2024). Using wearable technologies to minimise occupational illnesses among construction workers. Proceedings of the Institution of Civil Engineers – Forensic Engineering, 177(2), 64–71.

5. Mollo, L. G., Emuze, F., & Smallwood, J. (2023). Causes of human failure on construction sites. In Training-Within-Industry Job Programs for Improved Construction Safety (pp. 13–27). Routledge.