Professor of Applied Physics of the built environment, Politecnico di Bari, Italy

Francesco Ruggiero is an esteemed academic and researcher based in Italy, currently serving as a Professor at the Politecnico di Bari, Department of Architecture, Construction, and Design. His extensive expertise spans sustainable building design, energy efficiency, and innovative retrofitting strategies. Over the years, he has contributed significantly to environmental sustainability through his research and numerous scholarly publications.

PROFESSIONAL PROFILE

Orcid

Scopus

🎓 EDUCATION

Francesco Ruggiero earned his degrees in architecture and building engineering from prestigious Italian universities, with a strong focus on sustainable design and technological innovation in architecture. His academic journey reflects a deep commitment to integrating environmental principles into the built environment, shaping the next generation of architects and researchers.

💼 EXPERIENCE

Since 2000, Ruggiero has held various positions at the Politecnico di Bari, progressing from a Researcher in the Department of Technical Physics to a full Professor in the Department of Architecture, Construction, and Design. His career is marked by a dedication to teaching, research, and collaboration on national and international projects aimed at improving energy efficiency and sustainability in architecture.

🏆 AWARDS AND HONORS

Throughout his career, Francesco Ruggiero has received numerous awards and honors recognizing his contributions to sustainable architecture and building energy efficiency. His innovative research and leadership in environmental design have earned him accolades both in Italy and internationally.

🔬 RESEARCH FOCUS

Ruggiero’s research focuses on sustainable building technologies, energy-efficient retrofitting, natural ventilation strategies, and phase-change materials in Mediterranean climates. He actively collaborates with international teams, contributing to advancing knowledge in environmental sustainability and resilient architecture.

📚 PUBLICATION TOP NOTES

📖 CFD Analysis of the Impact of Building Shape on Natural Ventilation Effectiveness in High-Rise Buildings
🌞 From energy-intensive buildings to NetPlus targets: An innovative solar exoskeleton for the energy retrofitting of existing buildings
🌬️ Influence of cross-ventilation cooling potential on thermal comfort in high-rise buildings in a hot and humid climate
🏠 Natural ventilation effectiveness in low-income housing to challenge energy poverty
🔄 Assessing the Potential of Phase-Change Materials in Energy Retrofitting of Existing Buildings in a Mediterranean Climate
☀️ “En-Solex”: A Novel Solar Exoskeleton for the Energy-efficiency Retrofitting of Existing Buildings
💨 Evaluation of mixed mode ventilation cooling energy saving potential in nZEB: A case study in Southern Italy
🌐 The efficiency of hybrid ventilation on cooling energy savings in NZEBs
🏜️ Exploring building’s envelope thermal behavior of the neo-vernacular residential architecture in a hot and dry climate region of Algeria
🏗️ A Dissipating Frames for Seismic Retrofitting and Building Energy-Efficiency

✨ CONCLUSION

Francesco Ruggiero’s distinguished career in sustainable architecture, energy efficiency, and environmental design continues to influence academic research and practical applications globally. His dedication to fostering innovative solutions for a greener future highlights his role as a pioneer in the field, inspiring both peers and students alike.

Lanfeng Li | Industrial Wastewater Treatment | Best Researcher Award

Posted on 18/02/2025 by Civil Engineering Awards

Dr. lanfeng Li | Industrial Wastewater Treatment | Best Researcher Award

PhD student, School of Environment Studies, China University of Geosciences (Wuhan), China

Li Lanfeng, born in October 1994, is a doctoral candidate specializing in industrial wastewater treatment and resource recovery technologies. His research focuses on the degradation of dissolved organic matter, recovery of valuable components in industrial wastewater, and the resource utilization of municipal sludge. Li has been involved in significant research projects, such as the recovery and purification of hazardous waste liquids in the integrated circuit industry and the sustainable use of lithium-rich ores. He has published over 20 papers, including 16 SCI papers, and holds more than 10 patents. His work has contributed to the application of critical technologies in industries like photovoltaic and agriculture. Li’s academic background includes a PhD in Environmental Science and Engineering from China University of Geosciences (Wuhan). He has received numerous awards and honors, further solidifying his impact in the environmental engineering field.

Profile

Scopus

Education

Li Lanfeng completed his undergraduate studies in Hydrology and Water Resources Engineering at Changjiang University in 2017. He pursued a Master’s degree in Environmental Engineering at China University of Geosciences (Wuhan) from 2017 to 2020. During his master’s, Li focused on water pollution control and resource recovery. He is currently a PhD candidate in Environmental Science and Engineering at the same university, where his research primarily concentrates on industrial wastewater treatment, organic matter degradation mechanisms, and resource recovery technologies. His academic journey reflects his deep commitment to advancing environmental sustainability, with a particular focus on addressing complex industrial wastewater challenges. His education, combined with practical experience in large-scale engineering projects, has equipped him with the skills necessary to drive innovation and contribute significantly to global environmental solutions.

Experience

Li Lanfeng has gained extensive research experience through his involvement in numerous significant projects. He actively contributes to the National Key R&D Program focusing on hazardous waste liquid recovery and purification technologies in the integrated circuit industry. Additionally, he participates in the Chinese Academy of Sciences’ strategic technology initiatives, such as the resource utilization of lithium ores. His expertise extends to key areas, including the recovery of fluoride from industrial wastewater and sludge dewatering for municipal waste management. Notably, Li’s contributions to the development and application of fluoride wastewater recovery technologies have successfully been implemented in Zhejiang’s photovoltaic industry, leading to the completion of two 10,000-ton projects. He is also part of collaborative efforts to improve agricultural sustainability through low-carbon livestock farming and integrated agricultural ecosystems in the middle Yangtze River region. His contributions to both research and practical application continue to shape the future of environmental engineering.

Awards and Honors

Li Lanfeng’s academic excellence and innovation have been recognized with numerous prestigious awards. In 2023, he was awarded the Hubei Provincial Science and Technology Progress Award (Second Prize) as a key contributor to his research. He was also honored with the China Education Ministry’s National Graduate Scholarship in 2019, recognizing his outstanding achievements during his graduate studies. In addition, he received the “Outstanding Master’s Thesis” award from the China University of Geosciences (Wuhan) in 2020. Li’s dedication to his academic work is further demonstrated by his receipt of the university’s prestigious Doctoral Academic First-Class Scholarship for the 2022-2024 period. These awards highlight Li’s commitment to advancing environmental science and engineering, particularly in the areas of wastewater treatment, resource recovery, and sustainability.

Research Focus

Li Lanfeng’s research primarily focuses on industrial wastewater treatment, resource recovery, and sludge utilization. His work delves into the mechanisms of organic matter degradation during wastewater treatment processes, with an emphasis on industrial wastewater containing valuable components. One of his key areas of research is the recovery of fluoride from wastewater in industries such as photovoltaic manufacturing, where he has successfully developed and applied resource recovery technologies. Li is also dedicated to the utilization of municipal sludge, focusing on its dewatering, conditioning, and conversion into valuable by-products. His research extends to sustainable agricultural development, particularly in low-carbon farming practices in the middle Yangtze River region. Through his multidisciplinary approach, Li seeks to advance environmental sustainability while developing practical solutions to the pressing challenges of industrial pollution and resource management.

Publication Top Notes

Lanfeng Li, Niannian Sun, Siwei Peng, et al. (2024). Molecular insights into the degradation of organic matter from secondary swine wastewater effluent: A comparative study of advanced oxidation processes. Chemical Engineering Journal, 500: 156761.
Lanfeng Li, Jing Ai, Hang He, et al. (2024). Molecular-level insights into the transformation and degradation pathways of dissolved organic matter during full-scale swine wastewater treatment. Science of the Total Environment, 909, 168604.
Lanfeng Li, Jing Ai, Weijun Zhang, et al. (2020). Relationship between the physicochemical properties of sludge-based carbons and the adsorption capacity of dissolved organic matter in advanced wastewater treatment: effects of chemical conditioning. Chemosphere, 243, 125333.
Lanfeng Li, XingminFu, Jing Ai, et al. (2019). Process parameters study and organic evolution of old landfill leachate treatment using photo-Fenton-like systems: Cu2+ vs Fe2+ as catalysts. Separation and Purification Technology, 211, 972-982.
Peng Su, Lanfeng Li*, Hao Zhou, et al. (2024). Environmental and economic sustainability of the novel photovoltaic industrial wastewater treatment systems from life cycle perspective. Environmental Research, in revision.

Tao Zhu | Air Pollution Control | Best Researcher Award China

Posted on 18/02/202518/02/2025 by Civil Engineering Awards

Prof Tao Zhu | Air pollution control | Best Researcher Award

Director, University of Mining & Technology-Beijing, China

Tao Zhu, Ph.D., is a distinguished professor and director of the Institute of Atmospheric Environment Management and Pollution Control at China University of Mining and Technology (Beijing). He has authored over 100 research papers, including more than 30 SCI-indexed publications in renowned journals such as Environmental Science & Technology and Journal of Hazardous Materials. Dr. Zhu has applied for 30 patents in the past five years, with over 10 authorized and six successfully implemented in industrial applications. He has also published eight books, including four monographs. His contributions to air pollution control include the development of plasma-based treatment technologies and the co-processing of PM2.5 and heavy metals. He has led numerous national and industrial projects, generating significant economic and environmental impacts. His work in ultra-high-temperature plasma gasification and hazardous waste treatment has been widely recognized.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

🎓 Ph.D. in Environmental Engineering – China University of Mining and Technology (Beijing)
🎓 Master’s in Environmental Science – China University of Mining and Technology (Beijing)
🎓 Bachelor’s in Chemical Engineering – China University of Mining and Technology (Beijing)

Dr. Tao Zhu’s academic journey has been marked by a focus on air pollution control, plasma catalysis, and sustainable environmental technologies. His doctoral research contributed to the advancement of plasma-assisted air pollution mitigation techniques. Through rigorous academic training, he developed expertise in non-thermal plasma technology, single-atom catalysis, and volatile organic compound (VOC) decomposition. His educational background laid the foundation for his groundbreaking work in environmental protection and atmospheric pollution control.

EXPERIENCE

👨‍🏫 Professor & Director – Institute of Atmospheric Environment Management and Pollution Control, CUMT (Beijing)
🔬 Principal Investigator – 4 National Vertical Projects, 15 Ministry-Level Projects, 20+ Industrial Projects
🛠️ Technology Developer – Developed three-stage plasma treatment technology for industrial air pollution control
🌍 Environmental Consultant – Led hazardous waste management projects using plasma gasification
📖 Author & Researcher – Published over 100 papers and eight books on environmental science and pollution control

Dr. Zhu has pioneered several cutting-edge environmental technologies, contributing to academia and industry through his extensive research, project leadership, and consulting efforts. His plasma-based pollution control solutions have been implemented in large-scale environmental projects, significantly impacting China’s industrial waste management and air quality improvement.

AWARDS & HONORS

🏆 Outstanding Talent of the New Century – China
🏆 Outstanding Talent Award – Beijing
🏆 Sun Yuezaki Energy Science & Technology Award – National Science and Technology Development Foundation
🏆 Young Science & Technology Award – Chinese Society of Environmental Sciences
🏆 3 Provincial & Ministerial Science & Technology Progress Awards (First Completer)

Dr. Zhu’s pioneering research has been recognized nationally and internationally. His contributions to environmental engineering, particularly in air pollution control and plasma-based treatment methods, have earned him prestigious accolades, solidifying his reputation as a leading scientist in his field.

RESEARCH FOCUS

🌱 Air Pollution Control – Development of advanced plasma-assisted VOC and PM2.5 mitigation technologies
⚛️ Single-Atom Catalysis – Design of catalysts for effective gas-phase pollutant decomposition
🔥 Plasma Treatment Technologies – Application of non-thermal plasma for industrial waste gas purification
♻️ Hazardous Waste Management – Implementation of ultra-high-temperature plasma gasification solutions
🏭 Environmental Impact Assessment – Research on emission reduction strategies in coal-fired power plants

Dr. Zhu’s research integrates innovative environmental engineering solutions with industrial applications. His work aims to enhance pollution control efficiency, reduce emissions, and develop cost-effective technologies for sustainable industrial practices.

PUBLICATION TOP NOTES 📚

📖 Decomposition of benzene by non-thermal plasma processing: Photocatalyst and ozone effect – International Journal of Environmental Science & Technology (2008)

📖 Life cycle carbon emission modelling of coal-fired power: Chinese case – Energy (2018)

📖 An improved approach to estimate methane emissions from coal mining in China – Environmental Science & Technology (2017)

📖 Synergistic mechanism of Ce-Mn in ZSM-5 carrier catalysts for catalytic oxidation of toluene – Fuel (2023)

📖 Gaseous phase benzene decomposition by non-thermal plasma coupled with nano titania catalyst – International Journal of Environmental Science & Technology (2009)

📖 Plasma-catalyzed combined dynamic wave scrubbing: A novel method for highly efficient removal of multiple pollutants from flue gas at low temperatures – Journal of Hazardous Materials (2024)

📖 Volatile organic compounds decomposition using nonthermal plasma coupled with a combination of catalysts – International Journal of Environmental Science & Technology (2011)

📖 Preparation of zeolite X by the aluminum residue from coal fly ash for the adsorption of volatile organic compounds – Frontiers in Chemistry (2019)

📖 CO2 and SO2 emission characteristics of the whole process industry chain of coal processing and utilization in China – International Journal of Coal Science & Technology (2020)

📖 Effects of Mn, Cu, Sb, La on V–Mo–Ce/Ti SCR catalysts – Journal of Rare Earths (2020)

📖 VOCs decomposition via modified ferroelectric packed bed dielectric barrier discharge plasma – IEEE Transactions on Plasma Science (2011)

📖 Porous materials confining single atoms for catalysis – Frontiers in Chemistry (2021)

📖 Volatile organic compounds emission control in industrial pollution source using plasma technology coupled with F-TiO2/γ-Al2O3 – Environmental Technology (2015)

📖 Selective Catalytic Reduction of NO by NH3 Using a Combination of Non-Thermal Plasma and Mn-Cu/ZSM5 Catalyst – Catalysts (2020)

📖 Study on decomposition mechanism of toluene by non-thermal plasma coupled with catalysis – Journal of Chemical Engineering of China (2011)

CONCLUSION

Dr. Tao Zhu is a leading researcher in atmospheric environment management and air pollution control, making significant contributions through innovative plasma treatment technologies and catalysis research. His extensive academic and industrial experience has led to impactful environmental solutions, shaping policies and practices in pollution control. With numerous prestigious awards, over 100 research publications, and multiple patents, he continues to push the boundaries of environmental science. His pioneering work in ultra-high-temperature plasma gasification and hazardous waste management has established him as a key figure in sustainable environmental engineering.

Pietra Borges | Building Materials Environmental Assessment | Best Researcher Award

Posted on 18/02/202518/02/2025 by Civil Engineering Awards

Ms Pietra Borges | Building Materials Environmental Assessment | Best Researcher Award

PhD Candidate, PUCRS, Brazil

Pietra Borges is a Brazilian civil engineer and researcher specializing in materials engineering and sustainable construction. She holds a Civil Engineering degree from the Pontifical Catholic University of Rio Grande do Sul (PUCRS) and a Master’s degree in Materials Engineering and Technology. Currently, she is pursuing a PhD at PUCRS and an international research stay at NOVA University in Lisbon. With a strong academic background, she has contributed significantly to research on recycled aggregates, carbon capture, and durability of concrete. She is an active collaborator at UNILA, a PhD scholar, and CEO of Casa da Pantalhas, promoting sustainable interior design. Her research has been published in leading international journals, reflecting her commitment to advancing civil engineering and materials technology.

PROFESSIONAL PROFILE

Orcid

EDUCATION

🎓 Civil Engineering (2015-2019) – PUCRS (Final Grade: 8.08/10)
🎓 Master’s in Materials Engineering and Technology (2020-2022) – PUCRS (Federal Scholarship) under Prof. Dr. Jairo Andrade
🎓 PhD in Materials Engineering and Technology (2022-Present) – PUCRS (Federal Scholarship)
🎓 International PhD Researcher (2023-2024) – NOVA University, Lisbon (Federal Scholarship) under Prof. Dr. Carlos Manuel Chastre Rodrigues
📚 Additional Studies: Public Policy at Universidade Federal do Rio Grande do Sul (2022-Present)

EXPERIENCE

🔹 Research Collaborator at UNILA in the project “Carbon Capture in Civil Construction Industry” (2022-Present)
🔹 PhD Researcher with Scholarship at PUCRS (2022-Present)
🔹 CEO & Founder of Casa da Pantalhas, a sustainable interior design brand (2015-Present)
🔹 Paper Reviewer for the Latin American Congress of Building Pathologies (2021)
🔹 Scientific Research Intern at PUCRS – Center of Interdisciplinary Studies in Civil Engineering (CISCI) (2017-2019)
🔹 Class Monitor – Construction Materials II (2017) & Structural Concrete II (2018) at PUCRS

AWARDS & HONORS

🏆 Federal Research Scholarship for Master’s and PhD at PUCRS
🏆 International PhD Scholarship for research at NOVA University, Lisbon
🏆 Scientific Research Grant from the Ministry of Science, Technology, and Innovations, Brazil
🏆 Recognized Reviewer for the Latin American Congress of Building Pathologies
🏆 PUCRS Academic Distinction for research in recycled materials and carbon capture

RESEARCH FOCUS

🔬 Sustainable construction materials and recycling in concrete
🌱 Carbon capture in cement-based materials
🏗️ Durability and microstructural behavior of recycled aggregate concrete
♻️ Green building technologies and eco-friendly materials
🧪 Self-healing concrete and nano-modifications for enhanced performance

PUBLICATION TOP NOTES

📄 Physical-mechanical properties and microstructure changes in mortars with chemically treated coir fibers – Journal of Materials Research and Technology
📄 Mortars with recycled aggregate of construction and demolition waste: mechanical properties and carbon uptake – Construction and Building Materials
📄 Durability of concrete incorporating recycled coarse aggregates: carbonation and service life prediction under chloride-induced corrosion – Construction and Building Materials
📄 Relationship between mechanical properties and carbonation of concretes with construction and demolition waste – Case Studies in Construction Materials
📄 Influence of recycled aggregate replacement and fly ash content in pervious concrete mixtures – Journal of Cleaner Production
📄 Evaluation of Tire Rubber Surface Pre-Treatment and Silica Fume on Concrete Properties – Journal of Cleaner Production
📄 Evaluation of Healing Conditions in Strength Recovery in Self-Healing Concretes – Civil Engineering Research Journal
📄 Analysis of Mechanical and Microstructural Properties of High-Performance Concretes Containing Nanosilica and Silica Fume – Revista Matéria

CONCLUSION

Pietra Borges is a dedicated researcher and engineer passionate about sustainable materials and innovation in civil engineering. Her expertise in recycled aggregates, carbon capture, and self-healing concrete contributes to the advancement of eco-friendly construction practices. With multiple academic achievements, research collaborations, and leadership in sustainability, she continues to make a significant impact in the field.

Usman Ahmad | Computer Vision | Best Researcher Award

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Mr Usman Ahmad | Computer Vision | Best Researcher Award

Zhengzhou University, China

Usman Ahmad is a dedicated researcher and data scientist specializing in computer vision and deep learning. Currently pursuing a Ph.D. in Electrical and Information Engineering at Zhengzhou University, China, his research focuses on small aerial object detection using advanced deep learning models. With a Master’s degree in Electrical and Computer Engineering from South China University of Technology, Usman has developed expertise in CNN-based neural networks for small object detection, a critical area in applications like autonomous driving and remote sensing. His professional journey includes roles as a freelance data scientist, site engineer, and visiting faculty member, showcasing his versatility in both academia and industry. Usman’s work has been published in prestigious journals like IEEE Geoscience and Remote Sensing Letters, reflecting his contributions to the field. Passionate about innovation, he continues to push the boundaries of object detection technologies.

Professional Profile

Google Scholar

Education 🎓

Usman Ahmad holds a Ph.D. in Electrical and Information Engineering from Zhengzhou University, China (2022–present), focusing on small aerial object detection through deep learning. He earned his M.S. in Electrical and Computer Engineering from South China University of Technology (2018–2020), where he specialized in small object detection using CNN-based networks, achieving a final grade of 3.4/4. His thesis, Small Object Detection Through CNN-Based Network, addressed challenges in detecting small-scale images in high-resolution and remote sensing applications. Earlier, he completed his B.S. in Electrical Engineering from the National University of Computer and Emerging Sciences (FAST-NUCES), Islamabad (2010–2014), with a thesis on Prepaid Energy Meter, which tackled issues like power theft and billing inefficiencies. His academic journey reflects a strong foundation in electrical engineering and a progressive shift toward cutting-edge AI and computer vision research.

Experience 💼

Usman Ahmad has a diverse professional background. As a Freelance Data Scientist (2020–present), he developed CNN-based models for small image detection and OpenCV machine learning algorithms with 82% efficiency. From 2015 to 2018, he served as a Site Engineer at China State Construction Engineering Corporation Ltd, contributing to the New Islamabad International Airport Project, where he managed MEP systems and HVAC electrical parameters. He also worked as a Visiting Faculty Member at the University College of Engineering & Technology, Sargodha (2014–2015), teaching electrical and computer engineering while managing labs and exams. His technical expertise spans deep learning, computer vision, and electrical systems, making him a versatile professional in both academic and industrial settings. His hands-on experience in large-scale construction projects and AI-driven solutions highlights his adaptability and problem-solving skills.

Awards and Honors �

Usman Ahmad’s contributions to the field of computer vision and deep learning have earned him recognition in prestigious journals. His research on infrared small target detection, published in IEEE Geoscience and Remote Sensing Letters (2022), has been cited 42 times, showcasing its impact. He co-authored MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy (2024), published in IEEE Transactions on Geoscience and Remote Sensing, which has already garnered citations. His innovative work on GAN-integrated feature pyramid networks for small aerial object detection further underscores his expertise. While specific awards are not listed, his consistent publication record in high-impact journals and active contributions to advancing object detection technologies highlight his academic excellence and dedication to the field.

Research Focus 🔍

Usman Ahmad’s research centers on small object detection using deep learning models, particularly in high-resolution and remote sensing applications. His work addresses the challenges of detecting small-scale objects, such as distant vehicles in autonomous driving or tiny structures in satellite imagery. He has developed advanced CNN-based networks and GAN-integrated feature pyramid networks to improve detection accuracy and speed. His research also explores infrared small target detection, employing innovative strategies like adaptive labeling and multi-criteria decision-making. By focusing on practical applications like self-driving cars, remote sensing, and surveillance, Usman aims to bridge the gap between theoretical advancements and real-world solutions. His contributions have been published in leading journals, reflecting his commitment to pushing the boundaries of computer vision and AI.

Publication Top Notes📚

Infrared small target detection network with generate label and feature mapping – IEEE Geoscience and Remote Sensing Letters (2022)
MCDNet: An Infrared Small Target Detection Network Using Multi-Criteria Decision and Adaptive Labeling Strategy – IEEE Transactions on Geoscience and Remote Sensing (2024)
Small Aerial Object Detection through GAN-Integrated Feature Pyramid Networks – In Progress

Conclusion 🌟

Usman Ahmad is a highly skilled researcher and data scientist with a strong background in electrical engineering and deep learning. His expertise in small object detection, particularly through CNN-based and GAN-integrated models, has made significant contributions to computer vision and remote sensing. With a robust academic foundation, diverse professional experience, and a growing list of impactful publications, Usman continues to drive innovation in AI and its real-world applications. His dedication to solving complex problems and advancing technology makes him a valuable asset to the field.

Yiqi Ji | Tectonics | Best Researcher Award

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Dr Yiqi Ji | Tectonics | Best Researcher Award

Engineer, Shaanxi Insitute of Geo-environment Monitoring, China

Yiqi Ji is a dedicated geoscientist specializing in tectonics, active faulting, and geomorphology. With a Ph.D. in Geological Resources and Geological Engineering from Chang’an University (2024) and a visiting Ph.D. stint at the University of Bologna (2022–2023), Yiqi has developed expertise in analyzing giant landslides, basin structures, and fluvial geomorphology. His research integrates InSAR data, DEM, and OSL chronology to explore the interplay between tectonic activity, climate, and landscape evolution in the upper Yellow River catchment. Yiqi has contributed to multiple National Natural Science Foundation of China projects, focusing on geological hazards and surface processes. His work has been published in renowned journals like Geological Journal and Remote Sensing. Passionate about understanding Earth’s dynamic systems, Yiqi continues to advance knowledge in engineering geology and disaster mitigation.

Professional Profile

Orcid

Education 🎓

Yiqi Ji pursued his B.E. in Geological Engineering at Xi’an University of Science and Technology (2018). He earned his Ph.D. in Geological Resources and Geological Engineering from Chang’an University (2024), focusing on tectonics and geomorphology. During his doctoral studies, he was a visiting Ph.D. student at the University of Bologna’s Department of Earth Sciences (2022–2023), where he collaborated on international research projects. His academic journey reflects a strong foundation in geological engineering, complemented by advanced training in remote sensing and geospatial analysis. Yiqi’s education has equipped him with the skills to investigate complex geological processes and their implications for natural hazards.

Experience 💼

Yiqi Ji has extensive research experience in tectonics, geomorphology, and landslide dynamics. He has actively participated in multiple National Natural Science Foundation of China projects, including studies on the Yellow River Basin’s geological surface processes (2021–2024) and large deformation mechanisms in high geostress environments (2019–2023). His 12-month research abroad at the University of Bologna (2022–2023) enhanced his expertise in geospatial analysis and international collaboration. Yiqi has published several peer-reviewed articles in journals like Geological Journal and Remote Sensing, showcasing his ability to integrate field data with advanced remote sensing techniques. His work on active tectonics and landslide detection has contributed significantly to understanding geological hazards in northwestern China.

Awards and Honors 🏆

Yiqi Ji’s contributions to geological research have been recognized through his involvement in prestigious projects funded by the National Natural Science Foundation of China. His work on the Yellow River Basin’s geological processes (2021–2024) and large deformation mechanisms in tunnels (2019–2023) highlights his commitment to addressing critical geological challenges. While specific awards are not listed, his publications in high-impact journals like IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Geological Journal underscore his academic excellence. Yiqi’s international research experience at the University of Bologna further reflects his recognition as a promising geoscientist. His dedication to advancing knowledge in tectonics and geomorphology continues to earn him respect in the field.

Research Focus 🔍

Yiqi Ji’s research focuses on tectonics, active faulting, and geomorphology, with a particular interest in giant landslides and basin structures. He investigates the distribution and clustering mechanisms of landslides in the upper Yellow River catchment, linking them to the uplift of the Qinghai-Tibet Plateau, paleoseismology, and paleoclimate. Using InSAR data, DEM, and OSL chronology, Yiqi explores the interplay between tectonic activity, river evolution, and landscape dynamics. His work also extends to assessing tectonic activity through geomorphic indices and evaluating the vertical accuracy of DEMs for understanding tectonic morphology. By integrating field observations with advanced remote sensing techniques, Yiqi aims to unravel the complex geological processes shaping Earth’s surface and their implications for natural hazards.

Publication Top Notes 📚

Giant paleo-landslides in the upper reaches of the Yellow River: Spatio–temporal distribution, and possible controlling factors.
InSAR-based active landslide detection and characterization along the upper reaches of the Yellow River.
Active tectonics in the upper reaches of the Yellow River from Lagan Gorge to Liujia Gorge, northwestern China: Insights from geomorphic indices.
Assessment of tectonic activity based on the geomorphic indices in the middle reaches of the upstream of Jinsha River, China.
Evaluating the Vertical Accuracy of DEM Generated from ZiYuan-3 Stereo Images in Understanding the Tectonic Morphology of the Qianhe Basin, China.

Conclusion 🌟

Yiqi Ji is a accomplished geoscientist whose research in tectonics, geomorphology, and landslide dynamics has significantly advanced our understanding of geological processes in northwestern China. His integration of remote sensing, field data, and geospatial analysis has provided valuable insights into the mechanisms driving giant landslides and tectonic activity. With a strong academic background, international research experience, and a growing portfolio of high-impact publications, Yiqi continues to contribute to the fields of engineering geology and natural hazard mitigation. His dedication to unraveling Earth’s dynamic systems ensures his work remains at the forefront of geological research.

Yilong Sun | Ocean Foundation | Best Researcher Award

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Mr Yilong Sun | Ocean Foundation | Best Researcher Award

Lecturer, Wenzhou University, China

Yilong Sun is a dedicated researcher and academic currently affiliated with Wenzhou University in Zhejiang, China. With a strong foundation in civil and offshore engineering, Yilong has made significant contributions to the field of offshore wind turbine structures, particularly focusing on monopile foundations. He holds a Ph.D. from Beijing University of Technology, where he specialized in the seismic and cyclic response of offshore structures. His research spans nonlinear lateral response, cumulative cyclic loading, and long-term performance of monopiles in sandy environments. Yilong has published extensively in reputable journals such as Ocean Engineering and Applied Ocean Research, showcasing his expertise in offshore engineering. His work aims to improve the design and stability of offshore wind turbines, contributing to sustainable energy solutions. Yilong’s commitment to advancing engineering knowledge and his collaborative research efforts have established him as a promising scholar in his field.

Professional Profile

Orcid

Scopus

Education 🎓

Yilong Sun’s academic journey reflects his dedication to engineering and research. He completed his undergraduate studies at Henan University in Kaifeng, Henan, China, graduating in 2014. He then pursued a Master’s degree at Beijing University of Technology, which he completed in 2018. Continuing his academic excellence, Yilong earned his Ph.D. from the same institution in 2022, focusing on the seismic and cyclic behavior of offshore wind turbine monopiles. His doctoral research laid the groundwork for his current work on the long-term performance of offshore structures. Since August 2022, Yilong has been associated with Wenzhou University, where he continues to contribute to the field of civil and offshore engineering through teaching and research. His educational background has equipped him with a strong theoretical and practical understanding of structural dynamics, geotechnical engineering, and sustainable energy systems.

Experience 💼

Yilong Sun has built a robust academic and research career, primarily focused on offshore wind turbine structures. After completing his Ph.D. in 2022, he joined Wenzhou University as a researcher and educator, where he continues to explore the behavior of monopile foundations under cyclic and seismic loading. His research experience includes extensive work on the nonlinear lateral response of large-diameter monopiles, cumulative cyclic loading effects, and the long-term performance of offshore structures. Yilong has collaborated with renowned researchers and institutions, contributing to advancements in offshore engineering. His work has been published in high-impact journals, and he has presented his findings at international conferences. Yilong’s expertise lies in developing modified p-y curve models and analyzing the natural frequency of monopile-supported structures. His research not only advances academic knowledge but also has practical implications for the design and stability of offshore wind turbines, supporting the global transition to renewable energy.

Awards and Honors 🏆

Throughout his academic and research career, Yilong Sun has been recognized for his contributions to offshore engineering. His publications in prestigious journals such as Ocean Engineering and Applied Ocean Research highlight the impact of his work. Yilong’s research on the nonlinear lateral response of monopiles and the effects of long-term cyclic loading has garnered attention for its practical applications in offshore wind turbine design. While specific awards are not listed, his consistent publication record and collaboration with leading researchers in the field demonstrate his recognition as a promising scholar. Yilong’s work has been cited in numerous studies, reflecting its influence on the engineering community. His dedication to advancing sustainable energy solutions through innovative research has positioned him as a respected figure in offshore engineering. Yilong’s achievements underscore his commitment to excellence and his potential to drive future advancements in renewable energy infrastructure.

Research Focus 🔍

Yilong Sun’s research focuses on the behavior and performance of offshore wind turbine monopile foundations, particularly in sandy environments. His work explores the nonlinear lateral response of large-diameter monopiles, the effects of cumulative cyclic loading, and the long-term stability of offshore structures. Yilong has developed modified p-y curve models to improve the design and analysis of monopile-supported wind turbines. He also investigates the impact of seismic and cyclic loading on the natural frequency and horizontal bearing characteristics of monopiles. His research aims to enhance the safety, efficiency, and sustainability of offshore wind energy systems. By combining theoretical analysis with experimental and numerical modeling, Yilong provides valuable insights into the challenges of offshore engineering. His work contributes to the global transition to renewable energy by addressing critical issues in the design and maintenance of offshore wind turbines, ensuring their reliability in harsh marine environments.

Publication Top Notes📚

Yilong SUN et al. Nonlinear lateral response of offshore large-diameter monopile in sand[J]. Ocean Engineering, 2020.
Yilong SUN et al. Cumulative Cyclic Response of Offshore Monopile in Sands[J]. Applied Ocean Research, 2023.
Yilong SUN et al. Seismic Response of Monopile-Supported OWT Structure Considering Effect of Long-Term Cyclic Loading[J]. International Journal of Structural Stability and Dynamics, 2022.
Yurong YANG et al. Predicting Cumulative Deformation of Offshore Large-Diameter Monopile using Vertical-torsional coupling shear apparatus[J]. Ocean Engineering, 2022.
Chengshun XU et al. Evaluation for p-y Method for Offshore Large Diameter Monopile in Sand[C]. IOP Conference Series Earth and Environmental Science, 2020.
Lin GUO et al. Effect of initial shear stress on soft clay around pile and natural frequency of offshore wind turbine structure.
Yilong SUN et al. Analysis of the Influence of Long-Term Horizontal Loading on the Natural Frequency of Monopile-Supported Offshore Wind Turbine Structures[J]. Vibration and Shock, 2023.
Yilong SUN et al. Modified p-y Curve Model for Large-Diameter Monopiles in Offshore Wind Turbines[J]. Engineering Mechanics, 2021.
Yilong SUN et al. Study on the Influence of Long-Term Cyclic Loading on the Natural Frequency of Monopile-Supported Offshore Wind Turbine Structures[J]. Acta Energiae Solaris Sinica, 2022.
Yongqing LAI et al. Analysis of the Impact of Long-Term Cyclic Loading on the Horizontal Bearing Characteristics of Large-Diameter Monopiles[J]. Acta Energiae Solaris Sinica, 2024.

Conclusion 🌟

Yilong Sun is a distinguished researcher and academic whose work in offshore engineering has significantly advanced the understanding of monopile-supported wind turbine structures. His focus on nonlinear lateral response, cumulative cyclic loading, and long-term performance has provided critical insights into the design and stability of offshore wind energy systems. With a strong educational background and a robust publication record, Yilong has established himself as a leading figure in renewable energy research. His contributions not only enhance academic knowledge but also support the global transition to sustainable energy. Yilong’s dedication to innovation and excellence ensures his continued impact on the field of offshore engineering, making him a valuable asset to the scientific community and the renewable energy sector.

Tong Wu | Structural Disaster Prevention and Reduction | Excellence in Research

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Tong Wu | Structural Disaster Prevention and Reduction | Excellence in Research

Vice director, Heilongjiang University, China

Tong Wu is a distinguished Associate Professor in Civil Engineering at Heilongjiang University, China. Born in 1986, he holds a Doctor of Engineering degree and has completed postdoctoral fellowships at both Heilongjiang University and the Georgia Institute of Technology. With a robust background in bridge engineering, underground engineering, and disaster prevention, Dr. Wu has made significant contributions to the field through his research, teaching, and practical applications. He has presided over numerous provincial and ministerial scientific research projects and has been involved in the design and assessment of over 100 bridges and tunnels. Dr. Wu is also an active reviewer for several international and domestic journals, further cementing his reputation in the academic community.

Professional Profile

Scopus

Education 🎓

Dr. Tong Wu earned his Doctor of Engineering degree from Heilongjiang University, where he also completed a postdoctoral fellowship. He further enhanced his academic credentials with a joint PhD program at the Georgia Institute of Technology. His educational journey has equipped him with a deep understanding of civil engineering, particularly in the areas of bridge and underground engineering, disaster prevention, and mitigation.

Experience 💼

Dr. Wu has a rich professional background, having served as a Test and Inspection Engineer for national highway water transport engineering and as the Deputy Chief Engineer at the Bridge and Tunnel Maintenance Company in Liaoning Provincial Transportation Planning and Design Institute. He also held the position of Senior Manager in the Future Leadership Department at Country Garden Group. Currently, he is an Associate Professor and Diplomatic Secretary at Heilongjiang University, where he continues to contribute to both academia and industry.

Awards and Honors 🏆

Dr. Tong Wu has received numerous accolades for his contributions to science and education, including the Heilongjiang Province Science and Technology 2nd Prize, Harbin Science and Technology Progress 3rd Prize, and several teaching awards from Heilongjiang University and the province. These honors reflect his excellence in both research and teaching, underscoring his impact on the field of civil engineering.

Research Focus 🔍

Dr. Wu’s research primarily focuses on bridge engineering, underground engineering, and disaster prevention and mitigation. He has led significant projects such as the study on intelligent detection and construction quality control technology for long tunnels in cold areas and the seismic fragility of multi-frame rigid frame bridges. His work aims to enhance the safety, durability, and efficiency of infrastructure, particularly in challenging environments.

Publication Top Notes 📚

Simulation study on damage behavior of a shallow-buried Foundation bridge under combined action of flood scouring and heavy vehicle load 🌊🚚
Study on scour simulation and boundary condition conversion technology for a shallow foundation bridge 🏗️🔬
Seismic vulnerability evolution of large cantilever cap bridges due to material degradation 🌉📉
Study on Construction Optimization Method of Tunnel Crossing Fault Fracture Zone 🚇⚙️
Seismic Fragility of a Multi-Frame Box-Girder Bridge Influenced by Seismic Excitation Angles and Column Height Layouts 🌍📏
Elaborate Modeling and Fragility Assessment of a Multiframe PC Box-Girder Bridge with Intermediate Hinges in California 🌉📐
Study and Analysis for Seismic Response of Hinge in Frame-Style Curved Girder Bridge 🔄📊
Analysis of Seismic Damage to Multiple-Frame Style Curved Girder Bridges 🌉📉
Seismic Damage Study of Asymmetric Continuous Rigid Frame Bridge Based on Nonlinear Time History Analysis ⏳📈

Conclusion 🎯

Dr. Tong Wu is a highly accomplished academic and professional in the field of civil engineering, with a strong focus on bridge and underground engineering, disaster prevention, and mitigation. His extensive research, numerous awards, and significant contributions to both academia and industry highlight his expertise and dedication to advancing the field. Through his innovative projects and publications, Dr. Wu continues to make a profound impact on the safety and efficiency of infrastructure worldwide.

Guangyu Zhu | Intelligent Transportation System | Best Researcher Award

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Mr Guangyu Zhu | Intelligent transportation system | Best Researcher Award

Ph.D. candidate, Tsinghua University, China

Guangyu Zhu is a dedicated researcher and PhD candidate in Automotive Engineering at Tsinghua University, specializing in intelligent connected vehicles and vehicle-road collaborative systems. With a strong academic foundation from Shanghai Jiaotong University (Master’s) and Northeastern University (Bachelor’s), Guangyu has consistently excelled in his field, earning numerous awards and scholarships. His research focuses on the development strategy, cost-benefit analysis, and social value of intelligent automotive technologies. Guangyu has led significant consulting projects for the China Academy of Engineering and top international automobile companies, contributing to the advancement of China’s automotive industry. He has published multiple high-impact papers in SCI and EI-indexed journals, showcasing his expertise in intelligent transportation systems, steer-by-wire technologies, and blockchain applications in automotive fields. Guangyu’s work bridges academic research and industry innovation, aiming to shape the future of intelligent transportation.

Professional Profile

Orcid

Education 🎓

PhD in Automotive Engineering, Tsinghua University (Aug 2020–Jun 2025)
Research: Intelligent connected vehicles, vehicle-road collaborative systems, social and user value.
Awards: SAECCE Young Professional Excellent Paper, University/Institute scholarships.
Master of Engineering in Automotive Engineering, Shanghai Jiaotong University (Sep 2017–Mar 2020)
Research: Steer-by-wire systems, lane-changing decision-making.
Awards: Huawei Cup Mathematical Contest in Modeling (Second Prize).
Bachelor of Science in Applied Physics, Northeastern University (Sep 2013–Jun 2017)
GPA: 3.7/4.0 (Rank: 1/88).
Awards: Outstanding Graduate of Liaoning Province, National Scholarship, Huawei Scholarship.

Experience 💼

Lead Researcher, Consulting Project, China Academy of Engineering (Jun 2020–Apr 2021)
Defined development strategies for intelligent automotive technologies and identified key bottlenecks.
Lead Researcher, Consulting Project for Top International Automobile Company (Aug 2020–Feb 2022)
Analyzed drivers of China’s automotive industry, including pandemic impacts and digital transformation.
Lead Researcher, University-Industry Joint Research Project on Steer-by-Wire Systems (Feb 2019–Feb 2020)
Developed a steer-by-wire test bench and designed an internal model controller for precise steering.

Awards and Honors �

SAECCE Young Professional Excellent Paper Award
University-level Second-Class Scholarship (Tsinghua University)
Institute-level First-Class Scholarship (Tsinghua University)
Second Prize, Huawei Cup Mathematical Contest in Modeling (Shanghai Jiaotong University)
Outstanding Graduate of Liaoning Province (Northeastern University)
National Scholarship (Northeastern University)
Huawei Scholarship (Northeastern University)
University-level First-Class Scholarship (Northeastern University)
Second Prize, Mathematical Contest in Modeling (MCM)

Research Focus 🔍

Guangyu Zhu’s research focuses on intelligent connected vehicles and vehicle-road collaborative systems, emphasizing development strategies, cost-benefit analysis, and social value. He explores the integration of advanced technologies like blockchain and steer-by-wire systems in the automotive industry. His work also addresses traffic efficiency, energy consumption, and user-centric design in high-level autonomous driving scenarios. Guangyu’s research bridges theoretical innovation and practical applications, contributing to the sustainable growth of intelligent transportation systems in China and globally.

Publication Top Notes📚

Cost Analysis of Vehicle‐Road Cooperative Intelligence Solutions for High‐Level Autonomous Driving: A Beijing Case Study
Research on Vehicle-Road Intelligent Capacity Redistribution and Cost Sharing in the Context of Collaborative Intelligence
Research on Social Values of Vehicle-Road Collaborative Intelligent Systems: A Beijing Case Study
Blockchain Technology and Its Application in Automotive Field
Controller Design for an Automobile Steer-by-Wire System
Intelligent Vehicle Technology Innovation Development Strategy Supporting the Upgrading of Traffic
Study on Front Wheel Angle Tracking Strategy of Steering-by-Wire System
Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption
Evaluation of Traffic Efficiency and Energy-Saving Benefits of L3 Smart Vehicles under the Urban Expressway Scenario
The Expansion of Value Engineering Theory and Its Application in the Intelligent Automotive Industry

Conclusion 🌟

Guangyu Zhu is a highly accomplished researcher and PhD candidate whose work in intelligent connected vehicles and vehicle-road collaborative systems is shaping the future of transportation. With a strong academic background, extensive research experience, and numerous awards, he is a leading voice in the automotive industry. His publications and projects demonstrate a commitment to innovation, sustainability, and practical applications, making him a valuable contributor to the field of intelligent transportation.

Waris Ali | Computer Science | Best Researcher Award

Posted on 17/02/202517/02/2025 by Civil Engineering Awards

Mr Waris Ali | Computer Science | Best Researcher Award

Student, Beijing University of Technology, China

Waris Ali is a PhD scholar in the Department of Information Technology at Beijing University of Technology, China. With extensive academic and professional experience in Computer Science, he has worked as a lecturer at multiple institutions in Pakistan, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College. Throughout his career, Waris has demonstrated strong interpersonal skills and cultural competence, which have helped him foster a collaborative learning environment. His work focuses on advanced technologies like distributed systems, IoT, and artificial intelligence, with a particular emphasis on content delivery networks (CDNs) and multi-CDN deployment. Waris is committed to pushing the boundaries of technology through his research, contributing valuable insights to both academia and industry.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

Waris Ali is currently pursuing a PhD in Computer Science (2022-2026) at Beijing University of Technology, China. He completed his M.Phil. in Computer Science in 2020 from The Islamia University of Bahawalpur, where he achieved an impressive CGPA of 3.74/4.0. He also holds a Bachelor of Science in Information Technology (2013-2017) from the same institution, graduating with a CGPA of 3.889/4.0. Waris completed his intermediate studies in Science (FSc Pre-Engineering) in 2013, securing 730/1100 marks from the Board of Intermediate and Secondary Education. His academic journey reflects a strong foundation in computer science and information technology, positioning him for success in his current research.

EXPERIENCE

Waris Ali has garnered substantial experience as a lecturer in Computer Science at various prestigious institutions, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College, Yazman. He has also worked as a web developer at Digicon Computer Center, Bahawalpur. His teaching experience spans from 2017 to 2022, during which he has consistently demonstrated excellent communication and interpersonal skills. Waris has built strong relationships with both students and faculty, creating a supportive educational environment. His ability to collaborate with students from diverse backgrounds has enriched the learning experience, especially in international settings. This experience complements his academic research and professional growth.

AWARDS AND HONORS

Waris Ali’s dedication to research and academic excellence has earned him recognition in his field. He received accolades for his contribution to the study of content delivery networks in Pakistan. His work, “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan,” was published in the Pakistan Journal of Engineering and Technology. Additionally, Waris presented at notable conferences such as the 4th Asia Pacific International Conference on Emerging Engineering (APICEE), where he discussed multi-CDN deployment. He has also participated in the 2nd International Computer Science Conference, showcasing his ongoing commitment to advancing the field of Computer Science.

RESEARCH FOCUS

Waris Ali’s research interests lie in distributed systems, reliable networks, content delivery networks (CDNs), IoT applications, artificial intelligence, and data science. His work aims to analyze and improve the performance and deployment of multi-CDNs, with a focus on their application in Pakistan. His research contributes valuable insights into optimizing the efficiency of these networks, as well as exploring the potential of emerging technologies in real-world applications. With his current research as a PhD candidate at Beijing University of Technology, Waris is working to expand the boundaries of knowledge in these cutting-edge fields.

PUBLICATION TOP NOTES

“Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — Pakistan Journal of Engineering and Technology 📖
“Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — 4th Asia Pacific International Conference on Emerging Engineering (APICEE), 2021 📚
“The 2nd International Computer Science Conference” — International Conference on Intelligent Technologies & Applications (INTAP), 2019 💻

CONCLUSION

Waris Ali is a promising researcher and academic in the field of Computer Science, dedicated to advancing the understanding and application of emerging technologies. With a solid educational background and diverse professional experience, he continues to contribute valuable research on content delivery networks, artificial intelligence, and IoT applications. His commitment to excellence in both teaching and research underscores his role as an influential figure in the global tech community.