Kicheol Lee | Engineering | Best Researcher Award

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Dr. Kicheol Lee | Engineering | Best Researcher Award

Dr. Kicheol Lee | Halla University/RISE Project Group | South Korea

Dr. Kicheol Lee is a research professor specializing in civil and structural engineering, with a strong record in foundation engineering, numerical modelling, and new technology development. His work spans artificial intelligence (machine learning, deep learning), probabilistic and statistical methods, field applications in geotechnical/tunnel/foundation engineering, and reliability-based design (LRFD). He has been recognized with multiple best paper and presentation awards from the Korea Geosynthetics Society and the Korea Geotechnical Society. His expertise in numerical simulation (particularly via ABAQUS), and integration of AI/ML with civil engineering systems, has made him a leading figure in predictive modeling, anomaly detection, and structural reliability. Dr. Lee’s contribution lies in bridging advanced computational methods with practical engineering challenges, especially in ensuring safety, resilience, and sustainability of infrastructure. Dr. Lee’s current research is deeply interdisciplinary, merging geotechnical engineering, structural health monitoring, and intelligent systems to create safer, data-driven infrastructure solutions.His ongoing work under the Gangwon RISE Project aims to transform urban safety and sustainability by employing augmented and virtual reality technologies for real-time disaster visualization and early warning.

Author’s Profile

Scopus | Orcid

Early Academic Pursuits

Dr. Kicheol Lee began his academic journey in Civil and Environmental Engineering at Incheon National University, where he earned his Bachelor’s degree (2015), Master’s degree (2017), and Doctorate (Ph.D., 2021). His early research concentrated on geotechnical and foundation engineering, particularly the mechanical behavior of pile groups and the evaluation of soil–structure interactions through numerical and experimental methods. His doctoral dissertation, “Evaluation of Resistance Factors of Pile Groups Consisting of Drilled Shafts Embedded in Sandy Ground under Axial Load through Numerical Analysis,” established his expertise in reliability-based foundation design (LRFD) and computational modeling using ABAQUS, laying the groundwork for his later innovations in smart infrastructure systems.

Professional Endeavors

Dr. Lee’s professional career seamlessly bridges academia, industry, and national research initiatives, reflecting his commitment to advancing digitally enhanced civil infrastructure technologies. He currently serves as a Research Professor at Halla University under the RISE Project Group (since September 2025), where he leads the Gangwon RISE Project focused on developing advanced safety and green city technologies through the integration of Digital Twin and 3D data. Prior to this role, he was a Principal Researcher at the Korea Institute of Structural Integrity Research (2024–2025), where he led national R&D projects centered on innovative construction technologies and safety inspection systems. From 2021 to 2024, he served as Research Director at UCI Tech Co., Ltd., managing government-funded initiatives that merged IoT and augmented reality (AR) technologies for infrastructure maintenance and smart monitoring applications. Across these roles, Dr. Lee has demonstrated a clear progression from applied geotechnical engineering toward the fusion of engineering mechanics, intelligent systems, and data science to create more resilient, sustainable, and intelligent civil infrastructure.

Contributions and Research Focus

Dr. Lee’s interdisciplinary research bridges geotechnical engineering with artificial intelligence, probability, and information technologies to develop data-driven and intelligent systems for the monitoring, design, and maintenance of civil infrastructures. His expertise spans artificial intelligence—particularly the application of convolutional and recurrent neural networks (CNNs and RNNs) for anomaly detection, predictive modeling, and data-driven decision-making in structural health monitoring—as well as foundation and tunnel engineering, focusing on advanced modeling and soil–structure interaction analysis. He is also skilled in numerical analysis using ABAQUS to simulate complex geotechnical phenomena and evaluate soil–structure responses. In addition, Dr. Lee integrates reliability and probabilistic design principles through statistical modeling, Monte Carlo simulations, and Bayesian inference within LRFD-based design frameworks. His innovative contributions extend to smart infrastructure and safety systems, including the development of AI-enabled inspection robots, reversible thermochromic materials for black-ice prevention, and UAV-based soil monitoring systems utilizing hyperspectral imaging. He has led or contributed to 11 major national R&D projects funded by various Korean ministries—including those of Education, Environment, Land, Transport, Industry, and SMEs & Startups—addressing challenges in smart cities, environmental protection, and disaster prevention, all aimed at advancing sustainable and resilient civil infrastructure.

Impact and Influence

Dr. Lee’s scholarly influence is reflected in his prolific publication record, with over 50 peer-reviewed journal papers—15 indexed in SCI/SCI(E), 34 in Korean journals, and 2 in Scopus. His research has appeared in leading international journals such as Applied Sciences, Sustainability, Remote Sensing, Polymers, and Tunnelling and Underground Space Technology. His academic excellence has been recognized through several prestigious awards, including the Best Paper Presentation Awards from the Korea Geosynthetics Society and the Korea Geotechnical Society in 2020, and the Best Paper Award from the Korea Geosynthetics Society in 2019. Complementing his scholarly achievements, Dr. Lee holds 15 registered patents in the Republic of Korea, showcasing his technological innovation in civil engineering through the development of smart barriers, reversible paints for road safety, and advanced pile systems. Beyond research, he actively contributes to the professional community as an Editorial Board Member of the Korea Geosynthetics Society (2024–Present), and as Assistant Administrator of both the Low-Carbon Construction Committee and the Incheon Regional Committee of the Korean Geotechnical Society (since 2023). Through these roles, Dr. Lee fosters academic collaboration, encourages the dissemination of innovation, and advances sustainable engineering practices in the civil infrastructure domain.

Academic Cites

Dr. Lee’s work is frequently cited in research concerning geotechnical reliability, foundation engineering, and smart civil technologies. His papers on hyperspectral soil analysis and negative skin friction in piles have become valuable references in data-integrated geotechnical research. By bridging machine learning with traditional civil engineering models, his methodologies have influenced new approaches to predictive maintenance and risk-based infrastructure management in both academia and industry.

Legacy and Future Contributions

Dr. Kicheol Lee embodies a new generation of civil engineers who seamlessly integrate artificial intelligence, sustainability, and resilience into traditional infrastructure systems. His pioneering work on AI-driven monitoring, Digital Twin simulations, and smart geotechnical materials is reshaping the future of infrastructure safety and environmental protection. Looking ahead, Dr. Lee aspires to expand the application of augmented reality (AR) and digital twin technologies for real-time disaster prediction and response, develop autonomous robotic systems for structural inspection and maintenance, and contribute to global initiatives promoting smart and sustainable urban development in the face of climate change. His long-term vision is centered on building data-informed, intelligent, and resilient civil infrastructure systems that not only enhance public safety and operational efficiency but also minimize environmental impact—paving the way for the realization of next-generation smart and sustainable cities.

Featured Publications

Lee, K. (2024). Verification of construction method for smart liners to prevent oil spill spread in onshore. Sustainability, 16(23), 10626. https://doi.org/10.3390/su162310626

Lee, K. (2023). Proposal of construction method of smart liner to block and detect spreading of soil contaminants by oil spill. International Journal of Environmental Research and Public Health, 20(2), 940. https://doi.org/10.3390/ijerph20020940

Lee, K. (2022). Spectrum index for estimating ground water content using hyperspectral information. Sustainability, 14(21), 14318. https://doi.org/10.3390/su142114318

Lee, K. (2022). Prediction of ground water content using hyperspectral information through laboratory test. Sustainability, 14(17), 10999. https://doi.org/10.3390/su141710999

Lee, K. (2021). Analysis of vertical earth pressure acting on box culverts through centrifuge model test. Applied Sciences, 12(1), 81. https://doi.org/10.3390/app12010081

Lee, K. (2020). Numerical analysis of the contact behavior of a polymer-based waterproof membrane for tunnel lining. Polymers, 12(11), 2704. https://doi.org/10.3390/polym12112704

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 2—Correlations and prediction of weathered properties. Applied Sciences, 10(10), 3392. https://doi.org/10.3390/app10103392

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 1—Experimental study. Applied Sciences, 10(5), 1707. https://doi.org/10.3390/app10051707

Hassan Adamu Abubakar | Engineering | Best Researcher Award

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Mr. Hassan Adamu Abubakar | Engineering | Best Researcher Award

Mr. Hassan Adamu Abubakar | Advanced Manufacturing Technology Development institute Jalingo | Nigeria

Mr. Adamu Hassan Abubakar is a dedicated Nigerian engineer and researcher whose passion lies in sustainable development through advanced materials science and minerals engineering. He currently serves as Assistant Chief Engineer at the Advanced Manufacturing Technology Development Institute (AMTDI) in Jalingo under NASENI and also contributes as a part-time lecturer at Taraba State University and visiting faculty at AUST, Abuja. With over a decade of academic and industrial engagement, Mr. Adamu has significantly impacted solid minerals research in Nigeria, especially in barite ore processing and refractory ceramics. A hands-on professional, he also mentors engineering students and conducts capacity-building workshops. His expertise ranges from material characterization and composite fabrication to nanoscale fracture mechanics. Adamu is known for his blend of practical engineering problem-solving and innovative R&D approaches, making him a fitting candidate for international recognition in minerals engineering.

Profile

Orcid

Education

Mr. Adamu Hassan Abubakar’s academic journey reflects a strong commitment to engineering excellence. He earned his Bachelor of Engineering in Mechanical Engineering from the Federal University of Technology Yola in 2011 and went on to complete a Master of Engineering in Production and Industrial Engineering at Modibbo Adama University of Technology Yola in 2019. He is currently pursuing his Ph.D. in Materials Science and Engineering at the African University of Science and Technology (AUST), Abuja, expected to complete in 2026. His doctoral research focuses on multiscale fracture and crystallographic behavior of barite ore, aimed at enhancing mineral recovery technologies. His solid educational foundation, complemented by certifications in data science, computer appreciation, and project-based learning in the U.S., equips him with interdisciplinary skills essential for innovation in engineering research and development.

Experience

Mr. Adamu brings a rich blend of academic and field experience. Currently, he is Assistant Chief Engineer at AMTDI–NASENI, leading material assessment, internal quality assurance, and mentoring roles since 2021. Earlier, he served as Senior Engineer (2018–2021), driving research on mechanical parts using CAD software. He also shares his knowledge as a part-time lecturer at Taraba State University (2021–2023) and visiting faculty at AUST Abuja (2024–present). His professional contributions include mentoring undergraduate researchers, conducting laboratory experiments on barite, and guiding R&D strategy design. Through affiliations with mineral research groups like DAF Materials and Mineral Research Group and AUST Baryte Research Group, Adamu maintains a robust connection between academia and applied research. He demonstrates exceptional ability to merge field operations with scholarly insight, strengthening Nigeria’s mineral processing sector.

Research Interests

Mr. Adamu’s research is deeply rooted in the sustainable utilization of solid minerals and advanced materials development. His core areas include the characterization of barite ore, production of ceramic composites, and crystallographic studies for mineral liberation. His ongoing Ph.D. dissertation delves into nanoscale fracture behavior of barite minerals to improve separation and recovery in mineral processing. He is also involved in innovative projects such as the valorization of clay, paper sludge, rice husk, and bagasse for low-cost bricks, contributing to green engineering and affordable housing. His research group affiliations and participation in international conferences display his commitment to advancing material science for energy-efficient and environmentally friendly solutions. His work directly supports Nigeria’s goal of mineral resource beneficiation and domestic industrialization.

Awards & Recognition

Mr. Adamu has been consistently recognized for his commitment to academic and professional excellence. He is a Fellow of COMPASS USA (2025) and holds a Professional Diploma in Data Science (2025). Earlier accolades include the Certificate of Achievement in Project Citizen (USA, 2002) and National Certificate of Service (NYSC, 2012). His early foundation in computing was laid at ABTI American University (2007), and his scientific aptitude was acknowledged with a Certificate of Award by the NMC Center, Abuja . He is a registered member of esteemed bodies like COREN (2018), Nigerian Institute of Mechanical Engineers (2022), and Nigerian Association of Technologists in Engineering (2012). These recognitions underscore his dual excellence in academic leadership and field innovation, aligning him with national and international research objectives in engineering.

Publications Top Notes

Mechanical Loading of Barite Rocks: A Nanoscale Perspective

Gravity concentration of fine particles complex ores-containing baryte using laboratory-built mineral jig

Production and optimization of the refractory properties of blended Nigerian clay for high-temperature application; a non-stochastic optimization approach

Conclusion

Mr. Adamu Hassan Abubakar is an accomplished engineer and researcher, committed to fostering mineral-based technological innovations with practical, scalable impacts. His contributions to barite mineral processing, sustainable materials development, and academic mentoring make him a strong candidate for the International Research Award in Minerals and Materials Engineering. With a unique combination of technical expertise, academic rigor, and community engagement, he stands out as a leader shaping the future of minerals research in Africa. His interdisciplinary outlook, cross-institutional teaching, and collaborative research projects make him well-positioned to receive global recognition for his innovative work in sustainable mineral utilization and capacity development.

Dr. Ali Saleh | Transportation | Best Researcher Award

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Dr. Ali Saleh | Transportation | Best Researcher Award

Széchenyi István University, Germany.

Ali Saleh is a dedicated Syrian 🇸🇾 Civil Engineer and Ph.D. researcher specializing in road engineering and sustainable asphalt technology. With years of hands-on experience in both academia and infrastructure development, Ali blends practical engineering skills with cutting-edge research. He is particularly focused on asphalt mixture optimization using AI and neural networks. Currently based in Germany 🇩🇪, Ali seeks to contribute to advanced civil engineering innovations worldwide.

Profile

Orcid

🎓 Education

Dr. Ali Saleh holds a Ph.D. in Engineering Sciences from Széchenyi István University, Hungary (2020–2024), where he engaged in cutting-edge research within the field of civil engineering. Prior to his doctoral studies, he completed both a Master of Science in Civil Engineering (2015–2019) and a Bachelor of Science in Civil Engineering (2007–2013) at Tishreen University, Syria. Dr. Saleh’s academic background showcases a strong foundation in structural analysis, a deep commitment to infrastructure development, and a progressive trajectory in engineering sciences.

💼 Experience

In addition to his academic achievements, Dr. Ali Saleh brings valuable professional and teaching experience in the field of civil engineering. He worked as a Civil Engineer at Latakia Port, Syria (2014–2020), where he managed and supervised major infrastructure projects from design through execution, ensuring strict adherence to deadlines and quality standards. Alongside his engineering role, he served as a Lecturer at Tishreen University (2016–2019), where he delivered core civil engineering lectures and guided students academically. He also contributed to technical education as an Instructor at Omega Institute (2018–2019), teaching AutoCAD and Civil 3D to aspiring engineers, bridging theoretical knowledge with practical application.

🔬 Research Interests

♻️ Reclaimed Asphalt Pavement (RAP)

🧠 Machine Learning & Neural Networks in Civil Engineering

🌱 Sustainable Road Construction

🛣️ Bitumen Foaming and Asphalt Performance

📊 Pavement Testing and ITS/HWTT Data Modeling

🏆 Awards & Innovations

🛠️ Invention: Designed a bitumen foaming machine

🏅 Recognized for contributions in road project sustainability and environmental research at various international conferences.

📚 Selected Publications

🛣️ Warm Mix Asphalt (WMA) & Reclaimed Asphalt Pavement (RAP) Research

1. Machine Learning Modelling the Rut Depth of WMA Mixtures with Variable RAP and Foamed Bitumen Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.138
Highlights:

Utilizes machine learning models to predict rutting behavior in WMA.

Investigates performance effects of variable RAP and foamed bitumen levels.

Promotes data-driven pavement design and performance prediction.

2. Modelling Indirect Tensile Strength of Warm Mix Asphalt with Variable RAP Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.157
Highlights:

Focuses on indirect tensile strength (ITS) behavior of WMA mixtures.

Models mechanical performance under different RAP inclusion rates.

Supports RAP optimization for maintaining structural integrity.

3. Environmental Impacts of Using Foamed Asphalt

Journal: Dorogi i mosti (April 25, 2023)
DOI: 10.36100/dorogimosti2023.27.296
Highlights:

Evaluates environmental implications of foamed asphalt in road construction.

Considers emissions, energy savings, and recyclability.

Lays groundwork for greener road-building practices.