Shaokai Wang | Geotechnical Engineering | Research Excellence Award

Published on by Civil Engineering Awards

Dr. Shaokai Wang | Geotechnical Engineering | Research Excellence Award

Lecturer | North China University of Water Resources and Electric Power | China

Dr. Shaokai Wang is a Lecturer at North China University of Water Resources and Electric Power, holding a Ph.D. in Geological Engineering with over five years of experience in teaching and research. His expertise lies in geological and geotechnical engineering, with a strong focus on geological hazard mitigation, loess-related geohazards, and landslide monitoring and early warning systems. He has led and contributed to nationally funded projects supported by the National Natural Science Foundation of China, including research on catastrophic loess discontinuities and innovative biopolymer-based soil improvement technologies. Dr. Wang has published peer-reviewed articles in high-impact international journals such as Engineering Geology and Journal of Asian Earth Sciences, accumulating citations that reflect the relevance of his work. His research integrates field investigations, numerical simulations, and risk modeling to support disaster prevention, sustainable land-use planning, and resilient infrastructure development, contributing meaningfully to societal safety in hazard-prone regions.

Citation Metrics (Scopus)

500

400

300

200

100

0

Citations
461

Documents
8

h-index
7


View Scopus Profile

Top Publications

Static liquefaction capacity of saturated undisturbed loess in South Jingyang platform

Water (Switzerland), 2020 · Open Access

Yang Yunpeng | Geotechnical Engineering | Research Excellence Award

Published on by Civil Engineering Awards

Assoc. Prof. Dr. Yang Yunpeng | Geotechnical Engineering | Research Excellence Award

Yangtze University | China

Assoc. Prof. Dr. Yang Yunpeng is a dedicated early-career scholar and Specially Appointed Associate Professor at the College of Geosciences, Yangtze University, recognized for his emerging contributions to the field of geological hazards and mountain disaster dynamics. His research primarily focuses on the mechanisms, evolution, and monitoring of landslides, debris flows, rock avalanches, and snow avalanches, with an emphasis on disaster-chain processes in seismically active regions. He has developed expertise in seismic-signal-based monitoring and early warning frameworks, experimental flume testing, debris-flow dynamics, and disaster-risk mitigation technologies. Dr. Yang has published over ten research articles, including nine SCI-indexed papers, with four as first or corresponding author in reputable international journals such as Engineering Geology, JGR: Earth Surface, and Landslides. His work has clarified the chain-inducing mechanisms of seismic landslide–debris-flow sequences, advanced the understanding of debris-flow impact dynamics, and contributed novel insights into sediment transport transitions under seismic forcing. In addition to publications, he has participated in the development of multiple national invention patents related to disaster simulation, debris-flow hazard mitigation, and engineering modeling technologies, demonstrating both scientific innovation and practical applicability. Dr. Yang collaborates actively with interdisciplinary teams involving experts in seismology, geomorphology, engineering geology, and geotechnical engineering, enabling integrative approaches to mountain-hazard research. His contributions support national needs in major engineering construction and disaster-risk reduction, with societal impacts spanning improved hazard early-warning capabilities, enhanced understanding of disaster chains, and the development of protective strategies for vulnerable mountainous regions. Through rigorous research, international engagement, and commitment to scientific advancement, Yang Yunpeng continues to establish himself as a promising researcher contributing valuable knowledge to global geohazard prevention and sustainable development.

Profile: Scopus
Publication

Physical model experiment of rainfall-induced instability of a two-layer slope: Implications for early warning. Landslides. (2024)

Caoyuan Niu | Geotechnical Engineering | Best Researcher Award

Published on by Civil Engineering Awards

Dr. Caoyuan Niu | Geotechnical Engineering | Best Researcher Award

Senior Engineer‌ | China Railway No.4 Engineering Group Co., Ltd | China

Dr. Caoyuan Niu is a dynamic researcher specializing in bridge and tunnel engineering, with a strong focus on the mechanical behavior and fracture characteristics of rock and composite materials under complex environmental and loading conditions. Currently serving as a postdoctoral fellow jointly supervised by China Railway No.4 Engineering Group Co., Ltd. and Hefei University of Technology, he obtained his Ph.D. in Civil Engineering from Sichuan University in 2021. His scholarly output demonstrates a robust contribution to the field, with six SCI-indexed publications as the first author in high-impact international journals such as Rock Mechanics and Rock Engineering, International Journal of Rock Mechanics and Mining Sciences, and Cold Regions Science and Technology. In addition to his academic publications, Dr. Niu holds ten authorized invention patents, reflecting a strong orientation toward practical innovation and technology transfer. His research on the bearing capacity of rock-anchored anchorage systems and the deterioration of rock materials under freeze-thaw and hydrochemical effects has advanced the understanding of infrastructure resilience and safety in extreme conditions. Through interdisciplinary collaboration with experts in material mechanics, structural engineering, and geotechnics, he has contributed to developing safer, more sustainable design principles for large-scale bridge and tunnel projects. Dr. Niu’s scientific endeavors not only enhance theoretical insights into rock fracture mechanics but also provide applied engineering solutions that support national infrastructure development and global knowledge exchange in civil and geotechnical engineering.

Profile: Scopus
Publications:

Influence of the interlaced holes on crack propagation behavior under impact loads. International Journal of Impact Engineering. 
(Cited by: 17)

Deterioration of dynamic fracture properties of granite under the coupled effects of hydrochemical solutions and freeze–thaw cycles. International Journal of Rock Mechanics and Mining Sciences. 
(Cited by: 8)

Zahid Ur Rehman | Geotechnical Engineering | Best Researcher Award

Published on by Civil Engineering Awards

Dr. Zahid Ur Rehman | Geotechnical Engineering | Best Researcher Award

Dr. Zahid Ur Rehman is a distinguished researcher and academic in the field of Mining Engineering, specializing in rock mechanics, tunnel design, and numerical modeling for geotechnical analysis. His scholarly contributions emphasize the study of rock mass behavior under varied loading conditions, focusing on the stability and safety of underground structures in complex geological environments. Through extensive research on the Lowari Tunnel and Kohat Tunnel projects in Pakistan, Zahid Ur Rehman has developed advanced modeling techniques using FEM and DEM approaches to predict deformation, stress distribution, and support system performance. His work integrates theoretical and empirical methods to optimize tunnel support systems, enhance slope stability, and mitigate risks associated with rock bursts and collapses. Beyond tunnel engineering, his studies extend to dimension stone mining, ore reserve estimation, explosive engineering, and sustainable mineral extraction. His collaborative publications explore artificial intelligence applications for rock mass characterization, risk assessment in mining operations, and the environmental management of mineral industries. Zahid Ur Rehman has supervised multiple undergraduate projects investigating geotechnical variability, squeezing potential, and predictive modeling in tunnel environments, demonstrating a commitment to fostering research innovation. His proficiency with tools such as RocLab, RS2, and Matlab strengthens his expertise in simulation and modeling for ground support design. Additionally, his involvement with the Society of Mining Engineers and Pakistan Engineering Council highlights active engagement in professional development and academic leadership. His academic output, including journal articles and a co-authored book chapter on slope engineering, contributes significantly to advancing mining and geotechnical sciences. Zahid Ur Rehman has 92 citations across 11 research documents with an h-index of 6, reflecting substantial influence and research impact in the mining engineering discipline.

Profile: Scopus | ORCID
Featured Publications

Jan, M. S., Hussain, S., Zahra, R. E., Emad, M. Z., Khan, N. M., Rehman, Z. U., Cao, K., Alarifi, S. S., Raza, S., Sherin, S., et al. (2023). Appraisal of different artificial intelligence techniques for the prediction of marble strength. Sustainability.

Hussain, S., Khan, N. M., Emad, M. Z., Naji, A. M., Cao, K., Gao, Q., Rehman, Z. U., Raza, S., Cui, R., Salman, M., et al. (2022). An appropriate model for the prediction of rock mass deformation modulus among various artificial intelligence models. Sustainability.

Gul, A., Shahzada, K., Alam, B., Badrashi, Y. I., Khan, S. W., Khan, F. A., Ali, A., & Rehman, Z. U. (2020). Experimental study on the structural behavior of cast in-situ hollow core concrete slabs. Civil Engineering Journal (Iran).

Hussian, S., Mohammad, N., Rehman, Z. U., Khan, N. M., Shahzada, K., Ali, S., Tahir, M., Raza, S., & Sherin, S. (2020). Review of the geological strength index (GSI) as an empirical classification and rock mass property estimation tool: Origination, modifications, applications, and limitations. Advances in Civil Engineering.

Tahir, M., Rehman, Z. U., Husain, S., Muhammad, N., Nazir, M., Sadiq, M., & Hussain, I. (2020). Up-gradation of black shale of Chimiari region of Pakistan by flotation scheme. Journal of Himalayan Earth Sciences.

Ramin Vafaei Poursorkhabi | Geotechnical Engineering | Best Researcher Award

Published on by Civil Engineering Awards

Assoc. Prof. Dr. Ramin Vafaei Poursorkhabi | Geotechnical Engineering | Best Researcher Award

Associate Professor | Islamic Azad University | Iran

Assoc. Prof. Dr. Ramin Vafaei Poursorkhabi has built a strong research profile focusing on civil engineering, geotechnical engineering, structural analysis, soil improvement techniques, and the application of artificial intelligence in solving complex engineering challenges. His work spans across diverse areas such as the stabilization of soils through innovative methods like geopolymerization, evaluation of dispersive clay properties, monitoring and analysis of dam structures, and the use of metaheuristic algorithms for seismic response reduction and subsurface modeling. He has contributed significantly to advancements in hydraulic conductivity estimation, environmental optimization in road construction, and the reinforcement of geotechnical stability through geogrid applications. His studies also include offshore platform reliability, wave–structure interaction, and improvements in rubble mound breakwater resistance, showcasing an interdisciplinary approach that connects geotechnical, structural, and coastal engineering. By integrating clustering techniques, fuzzy logic, wavelet-based artificial neural networks, and hybrid optimization methods, he has introduced innovative models to enhance predictive accuracy and engineering design efficiency. Several of his publications highlight practical applications through case studies of large infrastructure projects, including dams, offshore platforms, and municipal roads, providing a blend of theoretical modeling and applied research. Additionally, his collaboration with scholars across multiple institutions has fostered a multidisciplinary approach to engineering problems, producing solutions that are both technically sound and environmentally conscious. The consistent use of computational intelligence tools demonstrates his commitment to bridging traditional engineering with modern machine learning techniques, aiming to optimize performance, reduce risk, and ensure structural safety. His publications in international journals and conference proceedings reflect not only academic contribution but also practical impact in real-world infrastructure development. This research track record establishes Ramin Vafaei Poursorkhabi as an impactful contributor in advancing the fields of geotechnical and structural engineering with strong integration of intelligent systems. 105 Citations 31 Documents 6 h-index View.

Profile: Scopus | ORCID | Research Gate 
Featured Publications:

Using the clustering method to find the final environmental parameters coefficients in road construction projects. (2025). Scientific Reports.

Experimental investigation of a special chemical additive for improving the geotechnical properties of dispersive clay soils. (2025). Results in Engineering.

Estimation of hydraulic conductivity using gradation information through Larsen fuzzy logic hybrid wavelet artificial neural network and combined artificial intelligence models. (2025). Discover Applied Sciences.