Danladi Abdu | Engineering | Best Researcher Award

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Mr. Danladi Abdu | Engineering | Best Researcher Award

Federal University of Transportation | Nigeria

Mr. Danladi Abdu is a distinguished civil engineering researcher whose work integrates artificial intelligence, data science, and structural engineering to advance the safety and performance of transportation infrastructures. His research focuses on the intelligent assessment and predictive modeling of structural behavior in railway and bridge systems using machine learning algorithms. Through his influential publications in reputable journals such as Structures and the Journal of Railway Science and Technology, Mr. Danladi Abdu has contributed significantly to the development of AI-based approaches for monitoring bridge pier settlements and predicting fire-induced steel beam deformations. His scholarly work bridges the gap between traditional structural analysis and modern computational intelligence, offering innovative methodologies for structural health monitoring and predictive maintenance. Mr. Danladi Abdu’s research interests encompass smart infrastructure systems, railway bridge engineering, machine learning applications in civil engineering, and sustainable design innovations. Recognized for his academic excellence and innovative mindset, he has received multiple awards, including the Class of 2023 Outstanding International Graduate Student Award from Central South University and the Aier Cup Innovation and Entrepreneurship Competition Award. His contributions highlight a strong commitment to applying advanced technologies for solving complex engineering challenges, fostering safer, more efficient, and sustainable infrastructure systems. With an expanding research portfolio and a growing impact in structural and transportation engineering, Mr. Danladi Abdu continues to drive forward-thinking solutions that merge artificial intelligence with civil engineering principles to enhance infrastructure reliability and sustainability in a rapidly evolving technological landscape.

Profile: ORCID

Featured Publications

  • Abdu, D. M., Shedamang, S., Jimoh, J., & Idris, A. (2025). Prediction of fire-induced steel beam deformation using machine learning algorithms. Journal of Railway Science and Technology. https://doi.org/10.1016/j.jrst.2025.10.001

  • Abdu, D. M., Guo, W., & Wang, Y. (2023). Assessment of railway bridge pier settlement based on train acceleration response using machine learning algorithms. Structures. https://doi.org/10.1016/j.istruc.2023.03.167

Sarat Mohapatra | Engineering | Innovative Research Award

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Dr. Sarat Mohapatra | Engineering | Innovative Research Award

Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, University of Lisbon | Portugal

Dr. Sarat Mohapatra is an accomplished marine researcher whose work bridges theoretical modeling, computational simulation, and experimental validation in the fields of hydroelasticity, ocean hydrodynamics, offshore aquaculture systems, and floating platform dynamics. His research primarily addresses complex fluid–structure interactions and the development of hydroelastic models for flexible and porous marine structures under combined wave and current conditions. With over 70 international publications in leading journals such as Ocean Engineering, Applied Ocean Research, Journal of Fluids and Structures, Physics of Fluids, and Journal of Marine Science and Engineering, his work has received significant global recognition, reflected in an h-index of 21 and more than 1,160 citations. Dr. Sarat Mohapatra has been a key contributor to several European and Portuguese Foundation for Science and Technology (FCT)-funded projects, focusing on hydrodynamic and hydroelastic analysis of large floating structures and wave energy systems. His recent studies include the development of analytical, numerical, and CFD-based models to predict wave-current interactions and improve the design of sustainable marine systems. In addition to his strong publication record, he has served as a journal reviewer, editorial contributor, and co-supervisor for doctoral and postgraduate research, promoting innovation and collaboration within marine technology. Through his pioneering contributions, Dr. Sarat Mohapatra continues to advance the understanding of ocean engineering phenomena, supporting innovations in marine renewable energy, offshore structure design, and environmentally resilient aquaculture technologies that contribute to the sustainable utilization of ocean resources.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate | Cienciavitae

Featured Publications

  • Mohapatra, S. C., Amouzadrad, P., & Guedes Soares, C. (2025). Recent developments in the nonlinear hydroelastic modeling of sea ice interaction with marine structures. Journal of Marine Science and Engineering, 13(8), Article 1410. https://doi.org/10.3390/jmse13081410

  • Mohapatra, S. C., & Guedes Soares, C. (2025). Oblique wave analysis under current conditions on a floating flexible membrane. Physics of Fluids, 37(7), Article 072101. https://doi.org/10.1063/5.0278003

  • Mohapatra, S. C., Guedes Soares, C., & Meylan, M. H. (2025). Three-dimensional and oblique wave-current interaction with a floating elastic plate based on an analytical approach. Symmetry, 17(6), Article 831. https://doi.org/10.3390/sym17060831

  • Amouzadrad, P., Mohapatra, S. C., & Guedes Soares, C. (2025). Review on sensitivity and uncertainty analysis of hydrodynamic and hydroelastic responses of floating offshore structures. Journal of Marine Science and Engineering, 13(6), Article 1015. https://doi.org/10.3390/jmse13061015

  • Mohapatra, S. C., & Guedes Soares, C. (2025). Wave–current interaction with a deformable bottom in a three-dimensional channel. Physics of Fluids, 37(5), Article 052104. https://doi.org/10.1063/5.0267255

Nadiia Kopiika | Engineering | Best Paper Award

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Dr. Nadiia Kopiika | Engineering | Best Paper Award

University College London | United Kingdom

Dr. Nadiia Kopiika is a distinguished civil and structural engineering researcher whose work unites innovation, sustainability, and resilience in the reconstruction of critical infrastructure. She is affiliated with University College London, London, United Kingdom, and serves as a BA/CARA Research Fellow at the University of Birmingham (UK) and Teaching Assistant at Lviv Polytechnic National University (Ukraine). Dr. Nadiia Kopiika has made exceptional contributions to developing advanced methodologies for damage assessment, probabilistic modelling, and structural rehabilitation of reinforced concrete structures. Her publication, “Probabilistic Assessment of RC Beams with Corroded Thermally Strengthened Reinforcement” (Structures, 2025), presents a comprehensive probabilistic framework for evaluating the reliability and residual capacity of corroded reinforcement systems, providing crucial insights for sustainable and data-driven restoration. According to Scopus, she has authored 34 indexed publications, accumulated 416 citations across 219 citing documents, and holds an h-index of 15, reflecting her growing impact in the global engineering community. Her work seamlessly combines analytical precision with practical applications in infrastructure resilience and recovery. Dr. Kopiika is also actively engaged in collaborative initiatives such as bridgeUkraine.org and MetaInfrastructure.org, advancing digital diagnostics, AI integration, and circular design for post-disaster reconstruction. Her achievements have been recognised through prestigious honours, including the Award of the Verkhovna Rada of Ukraine for Young Scientists (2024) and the BA/CARA Research Fellowship (2023–2026). Through her interdisciplinary research and commitment to sustainable engineering, Dr. Nadiia Kopiika continues to advance innovative frameworks for resilient, future-ready infrastructure systems worldwide.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Blikharskyy, Y., Kopiika, N., Khmil, R., Selejdak, J., & Blikharskyy, Z. (2022). Review of development and application of digital image correlation method for study of stress–strain state of RC structures. Applied Sciences, 12(19), 10157. [Cited by 56]
    https://doi.org/10.3390/app121910157

  • Kopiika, N., Karavias, A., Krassakis, P., Ye, Z., Ninic, J., Shakhovska, N., … (2025). Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach. Automation in Construction, 170, 105955. [Cited by 27]
    https://doi.org/10.1016/j.autcon.2025.105955

  • Blikharskyy, Y., Vashkevych, R., Kopiika, N., Bobalo, T., & Blikharskyy, Z. (2021). Calculation residual strength of reinforced concrete beams with damages, which occurred during loading. IOP Conference Series: Materials Science and Engineering, 1021(1), 012012. [Cited by 32]
    https://doi.org/10.1088/1757-899X/1021/1/012012

  • Blikharskyy, Y., Selejdak, J., & Kopiika, N. (2021). Corrosion fatigue damages of rebars under loading in time. Materials, 14(12), 3416. [Cited by 31]
    https://doi.org/10.3390/ma14123416

  • Blikharskyy, Y., Selejdak, J., Kopiika, N., & Vashkevych, R. (2021). Study of concrete under combined action of aggressive environment and long-term loading. Materials, 14(21), 6612. [Cited by 30]
    https://doi.org/10.3390/ma14216612

Guruswamy K. P | Engineering | Best Researcher Award

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Dr. Guruswamy K. P | Engineering | Best Researcher Award

University of Visvesvaraya College of Engineering | India

Dr. Guruswamy K. P. is an Associate Professor in the Department of Electrical Engineering at the University of Visvesvaraya College of Engineering (UVCE), Bengaluru. He is widely recognized for his expertise in power electronics, particularly in the modeling and control of advanced power converter systems. His professional journey reflects a blend of academic teaching and innovative research, enabling him to contribute to both the classroom and the wider engineering community. Through his dedicated work, he has advanced the design of compact, efficient, and reliable power converters, making a significant impact on electric vehicle charging systems, renewable energy integration, and smart power management technologies.

Professional Profile

Google Scholar

Education

Dr. Guruswamy K. P began his academic journey at the University of Visvesvaraya College of Engineering, where he earned both his Bachelor’s and Master’s degrees in Electrical Engineering. His early academic training laid a strong foundation in fundamental engineering principles while also sparking his interest in power conversion systems. He further strengthened his expertise by pursuing doctoral research at the Indian Institute of Technology Roorkee, where he specialized in advanced control and modeling of DC–DC converters and resonant converters. This educational progression provided him with a comprehensive balance of theory, practical knowledge, and research skills that continue to influence his work today.

Experience

Over the course of his professional career, Dr. Guruswamy K. P has accumulated extensive teaching and research experience. He began with faculty positions in engineering institutions before advancing to his current role as Associate Professor at UVCE. In this position, he has not only taught core electrical engineering courses but has also supervised research projects and guided students in innovative converter design. He has contributed to the development of laboratory infrastructure, collaborative research initiatives, and academic curricula that integrate emerging topics such as digital control, interleaved converter systems, and sustainable energy applications. His leadership extends beyond teaching, as he regularly collaborates with researchers from leading institutions on interdisciplinary projects.

Research Interest

Dr. Guruswamy K. P research interests lie in the broad area of power electronics, with a specific focus on resonant converters, interleaved DC–DC converters, bidirectional converters, PWM rectifiers, and digital control strategies. He is particularly interested in applying analytical methods and computational modeling to improve the efficiency, reliability, and adaptability of converter technologies. His research often bridges theoretical modeling with practical implementation, which is especially evident in applications such as electric vehicle charging systems, auxiliary power units, and renewable energy integration. By combining modern control approaches with traditional converter design, he continues to drive advancements in sustainable energy systems and high-performance power management solutions.

Awards

Dr. Guruswamy K. P has been consistently recognized for his academic excellence, research contributions, and professional commitment. His innovative work in the field of power converters has earned him appreciation within the engineering community, and his nomination for the Best Researcher Award reflects his sustained achievements in both research and teaching. His professional memberships with ISTE and IEEE further highlight his active involvement in knowledge dissemination and collaboration, underscoring his contributions to advancing power electronics at both national and international levels.

Publications

Dr. Guruswamy K. P has authored and co-authored multiple publications in reputed international journals and conferences. His research spans topics such as digital control methods, resonant LLC converters, bidirectional DC–DC converters, and PWM rectifier applications. Selected works include:

1. Title: Modelling of flyback converter using state space averaging technique
Journal: 2015 IEEE International Conference on Electronics, Computing and Communication Technologies (ICECCT)
Published on: 2015
Citation: 34

2. Title: Design, modeling and analysis of two level interleaved boost converter
Journal: 2013 International Conference on Machine Intelligence and Research Advancement (ICMIRA)
Published on: 2013
Citation: 31

3. Title: Design, Modelling, Analysis and Implementation of Two Phase Interleaved Buck DC-DC Converter
Journal: International Journal of Innovative Science and Research Technology
Published on: 2018
Citation: 8

4. Title: FPGA based 2-stage power conditioning system for PV power generation
Journal: 2013 International Conference on Power, Energy and Control (ICPEC)
Published on: 2013
Citation: 8

5. Title: Design and implementation of two phase interleaved DC-DC boost converter with digital PID controller
Journal: International Journal of Electrical and Electronics Engineering (IJEEE)
Published on: 2013
Citation: 8

6. Title: Performance Analysis for LLC Resonant Converter in Electric Vehicle Applications
Journal: 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)
Published on: 2023
Citation: 4

7. Title: Performance Analysis of Half-Bridge LC Resonant Converter for UPS Battery Charging Application
Journal: 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC)
Published on: 2023
Citation: 3

Conclusion

Dr. Guruswamy K. P. stands out as a dedicated academic and researcher in the field of power electronics. His educational background, teaching experience, and innovative research collectively illustrate his strong commitment to advancing the field of converter technology. Through his publications, collaborations, and professional memberships, he has consistently contributed to both theoretical and applied aspects of electrical engineering. His nomination for the Best Researcher Award acknowledges not only his scholarly achievements but also his role in shaping the next generation of engineers and promoting sustainable energy solutions through advanced power electronics.

Xinxin Wang | Engineering | Best Researcher Award

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Mr. Xinxin Wang | Engineering | Best Researcher Award

North China Electric Power University | China

Xinxin Wang is a driven and innovative PhD candidate at North China Electric Power University, whose work bridges advanced theoretical research with practical engineering solutions. With a strong foundation in machinery and power engineering, he has developed expertise in the design, analysis, and optimization of underground tunneling equipment, particularly Tunnel Boring Machines (TBMs). His career reflects a deep commitment to solving complex challenges in rock mechanics and engineering, supported by collaborative efforts with leading experts in China and abroad. His predictive models and design methods have significantly advanced tunneling efficiency, making him a promising leader in his field.

Professional Profile

Scopus

ORCID

Education

Xinxin Wang earned a Master’s degree in Machinery and Engineering from Inner Mongolia University of Science and Technology, followed by doctoral studies in Power Machinery and Engineering at North China Electric Power University. Selected for the prestigious National “Excellent Engineer Program,” he broadened his academic exposure through a joint doctoral program as a visiting scholar at the University of Pisa, Italy. This international engagement allowed him to integrate advanced European engineering practices with domestic innovation, enriching his academic and professional capabilities in tunneling technology and rock-breaking mechanics.

Experience

Xinxin Wang has actively participated in multiple national-level research projects, including those funded by the National Natural Science Foundation of China and the National High Technology Research and Development Program. His contributions extend to the development of proprietary software for calculating rock-breaking forces in TBM disc cutters and the creation of new cutterhead designs capable of handling varied geological conditions. He works closely with industry and academic partners to ensure his research outcomes are implemented in real-world projects, thus enhancing the efficiency, reliability, and cost-effectiveness of large-scale underground excavation.

Research Interest

His research focuses on intelligent control systems and energy efficiency analysis for advanced underground construction equipment, particularly TBMs. He is deeply engaged in studying the collaborative rock-breaking mechanism of disc cutters, developing predictive models for cutter forces and cutterhead torque, and designing innovative solutions to optimize performance in diverse geological settings. Additionally, his expertise spans rock mechanics, structural analysis, and the integration of advanced computational modeling techniques into engineering practice.

Awards

Xinxin Wang has received recognition for his scholarly achievements through competitive doctoral scholarships and honors for academic excellence. His innovative contributions to TBM rock-breaking mechanics, cutterhead design, and excavation efficiency have been widely acknowledged in professional circles. These recognitions underscore his potential to make sustained and transformative contributions to the tunneling and underground engineering sector, making him a strong candidate for the Best Researcher Award.

Publications

Title: Investigation into the Rock-Breaking Forces of TBM Disc Cutters with Diverse Edge Shapes
Journal: Rock Mechanics and Rock Engineering
Published on: 2025

Title: Study on the Rock-Breaking Forces of TBM Disc Cutters with Uneven Wear
Journal: Chinese Journal of Theoretical and Applied Mechanics
Published on: 2025

Title: Study on Fatigue Characteristics of High-Pressure Vessel with Multiple Cracks in Stages
Journal: Mechanical Design and Manufacturing
Published on: 2024

Title: Allowable Limit of Crack Defect Zone Evaluation under Expected Life of Ultra-high Pressure Vessel Head
Journal: Thermal Processing Technology
Published on: 2024

Conclusion

By combining theoretical innovation with real-world engineering solutions, Xinxin Wang has made impactful contributions to the science and technology of tunnel boring and underground excavation. His research has not only improved operational efficiency but has also reduced construction costs and enhanced safety in challenging environments. With proven academic excellence, international collaboration experience, and a strong record of published work, he exemplifies the qualities of a dedicated and forward-thinking researcher worthy of the Best Researcher Award.

Dehua Wu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Dehua Wu | Engineering | Best Researcher Award

Fuzhou University | China

Dr. Dehua Wu is a highly respected Associate Professor in the Department of Transportation Engineering at the College of Civil Engineering, Fuzhou University. Known for his leadership in intelligent transportation systems research, he has made significant advancements in autonomous driving integration, connected vehicle applications, and traffic safety improvement. His career reflects a dedication to bridging advanced transportation technologies with practical engineering solutions that address real-world challenges. With a strong reputation in both academia and industry, he is frequently invited to contribute his expertise to research collaborations, governmental advisory boards, and infrastructure development projects.

Professional Profile

Scopus

Education

Dr. Wu’s academic achievements form a solid foundation for his expertise in transportation systems. He earned his Ph.D. in Transportation Planning & Management from Tongji University, where he developed analytical frameworks for improving traffic efficiency and safety. He also holds a master’s degree in Road & Railway Engineering and a bachelor’s degree in Highway & Urban Road Engineering from Chang’an University, where he built a deep understanding of road design principles, traffic modeling, and urban mobility planning. His educational background has equipped him with the skills to integrate engineering theory with cutting-edge technology in transportation innovation.

Experience

In his role as Associate Professor at Fuzhou University, Dr. Wu leads research teams, mentors postgraduate students, and designs advanced courses in transportation engineering. His international experience as a Visiting Scholar at the University of Alberta broadened his research scope, allowing him to incorporate global perspectives into local infrastructure solutions. Before entering academia, he served as a Senior Engineer at the Fujian Transport Planning Bureau, where he played a key role in formulating strategies for road safety auditing, transportation policy, and network optimization. His professional portfolio includes consulting work on large-scale safety risk assessments, expressway development, and urban traffic impact studies, demonstrating his ability to apply research to practical, high-stakes projects.

Research Interest

Dr. Wu’s research spans Intelligent Transportation Systems, autonomous and connected vehicle integration, and advanced traffic safety evaluation. His work addresses congestion management, accident black spot analysis, and the development of data-driven traffic control models. He has conducted in-depth studies on traffic flow dynamics in tunnel and expressway systems under intelligent connected conditions, offering innovative solutions for speed limit control, hazard detection, and infrastructure resilience. Additionally, his research extends to transportation planning and facility design, with a focus on creating adaptable, future-ready systems that enhance mobility, safety, and sustainability.

Awards

Dr. Wu’s research leadership and his ability to translate complex engineering concepts into actionable transportation solutions have earned him professional recognition and respect. His projects, funded by prestigious scientific foundations and transportation technology programs, have directly influenced transportation safety protocols, traffic management systems, and smart vehicle integration strategies. His sustained record of impactful research positions him as an exemplary candidate for the Best Researcher Award, reflecting a career defined by innovation, practical relevance, and societal benefit.

Publications

Title: Hybrid Characteristics of Heterogeneous Traffic Flow in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2022

Title: Hybrid Characteristics of Heterogeneous Traffic Flow Under Different Aggregating Lane-Change Strategies in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2023

Title: Adaptive Variable Speed Limit Optimization Control Model for Highways
Journal: Journal of Fuzhou University (Natural Science Edition)
Published on: 2017

Title: Evolution Patterns of Heterogeneous Traffic Flow at Ramp Bottlenecks on Expressways
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2020

Title: Fuzzy Control and Simulation of Congested Traffic Flow in Merge Bottleneck Areas Based on Chaos Theory
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Title: Quantitative Algorithm for Traffic Sign Information Based on Information Transfer Principle
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Conclusion

Dr. Dehua Wu’s career exemplifies the integration of research excellence, engineering innovation, and applied problem-solving. His contributions to intelligent transportation systems, safety management, and infrastructure optimization have influenced policy, shaped industry practices, and advanced the scientific understanding of traffic behavior. With a proven ability to deliver high-impact research and practical solutions, he stands as a leading figure in his field and an outstanding nominee for the Best Researcher Award.