Berezhnoy Evgeniy – Mathematics – Best Researcher Award

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Berezhnoy Evgeniy | Mathematics | Best Researcher Award

Professor | Yaroslavl State University | Russia

Berezhnoy Evgeniy has established a strong academic and research career in the field of mathematics, particularly within differential equations and related areas, where his contributions span over four decades of consistent scholarly activity. His work has been integral to advancing theoretical frameworks and practical applications, marked by the authorship of 81 research papers that reflect a wide scope of mathematical exploration and innovation. Evgeniy has significantly contributed to applied mathematics by holding two patents for inventions, underscoring his ability to integrate theoretical knowledge with practical problem-solving. His influence in academia is evident through his long-standing role at P.G. Demidov Yaroslavl State University, where he has served in progressive positions from assistant to professor and head of department, reflecting leadership in shaping the direction of mathematical sciences at the institution. Recognition of his work includes the prestigious title of Doctor of Physical and Mathematical Sciences and being named an Honorary Worker of Higher Education of the Russian Federation, highlighting both scholarly achievement and contributions to educational development. His engagement with the international mathematical community as a member of the American Mathematical Society emphasizes his connection to global discourse in mathematics. Moreover, his active participation in conferences demonstrates a commitment to the dissemination of knowledge and collaboration across scientific networks. Supervision of six PhD theses further shows his dedication to mentoring new generations of researchers, ensuring continuity and growth within the discipline. The breadth of his achievements demonstrates a balance between deep theoretical insight, applied research through patents, and educational leadership. Through this combination of research productivity, inventive contributions, and academic mentorship, Berezhnoy Evgeniy has made enduring contributions to the development and advancement of mathematical sciences, particularly within differential equations, while also fostering innovation and nurturing scholarly excellence in the academic community.

Profile: ORCID
Publications:

  1. Lebesgue constants and Hardy–Littlewood theorem for Morrey spaces. (2026).

  2. About the relationship between grand and small Lebesgue spaces with classic symmetrical spaces. (2025).

  3. Two embedding theorems for interpolation functors on couples of global Morrey spaces. (2022).

Zhiliang Wang – Geotechnical Engineering – Best Researcher Award

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Prof. Zhiliang Wang | Geotechnical Engineering | Best Researcher Award

Professor | Kunming University of Science and Technology | China

Prof. Zhiliang Wang has established a strong research foundation in civil and geotechnical engineering, focusing extensively on tunnel and underground engineering, soil behavior, and numerical simulation methods. His research contributions address safety evaluation of tunnels, mitigation of hazards associated with special soils, and the development of multi-field coupling models for geotechnical applications. By integrating theoretical modeling with experimental studies, Zhiliang Wang has advanced understanding of soil stabilization mechanisms, long-term settlement issues in peat soils, and fracture propagation in rock mass. His works also highlight the application of lattice Boltzmann methods for simulating fluid flow, heat transfer, and seepage in complex soil and rock structures, bridging the gap between computational approaches and practical engineering challenges. Through projects supported by the National Natural Science Foundation of China and industry collaborations, he has contributed innovative solutions for freezing processes in soils, shield tunneling effects, and soil-structure interaction in underground construction. His publications in high-impact journals cover a wide range of topics, from sustainable approaches such as incorporating clay and manufactured sand in soil stabilization to advanced simulations of thermal and hydraulic processes in soils. Zhiliang Wang’s research outcomes not only enhance engineering safety and efficiency but also align with sustainability goals by addressing energy-efficient and environmentally friendly practices in geotechnical engineering. His active involvement in teaching courses like tunnel engineering and numerical simulation further strengthens the link between academic research and practical application, inspiring future professionals in the field. With 366 citations by 339 documents, 65 documents, and an h-index of 11, Zhiliang Wang’s scholarly impact reflects his significant role in shaping modern research and innovations in underground engineering and soil mechanics.

Profile: Scopus
Featured Publications: 

  1. Effect of random microcracks on macroscopic crack propagation in rock. (2024). Cited by 2.

  2. A numerical simulation of high-temperature rock hydraulic fracturing based on coupled thermo-mechanical peridynamics. (2024). Cited by 1.

  3. Study on the seepage and heat transfer effect of rough fractures in hot matrix considering dynamic thermophysical properties of fluid. (2024). Cited by 2.

  4. Numerical simulation of glass panel impact damage based on peridynamics. (2024). Cited by 1.

Elias Wakshume – Industrial Design Engineering – Best Researcher Award

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Mr. Elias Wakshume | Industrial Design Engineering | Best Researcher Award

Lecturer | Ethiopian Defence University | Ethiopia

Mr. Elias Wakshume has established a strong research profile in the field of mechanical and industrial design, with particular emphasis on advanced composites, structural mechanics, and finite element simulations. His work focuses on applying engineering science to develop innovative protective solutions such as fibre-reinforced composites for ballistic body armour, addressing critical needs in defence and civil safety applications. Through peer-reviewed publications in high-impact journals, including Applications in Engineering Science and the Journal of Defence Technologies, Elias has contributed valuable insights into material optimization, lightweight structures, and safety engineering. His research integrates sustainability principles with structural optimization, ensuring that protective materials meet performance requirements while minimizing environmental impact. By leveraging tools like ANSYS, SolidWorks, MATLAB, and AutoCAD, he advances simulations that validate theoretical models and guide practical implementations in real-world contexts. His expertise extends to fatigue, thermal, and structural analysis, enabling comprehensive evaluations of composite materials under complex loading conditions. Elias has also gained recognition through paper acceptance at significant conferences such as the 3rd National Research Conference on Emerging Innovation of Science and Technology for Enhancing Defence Force Capabilities, highlighting his role in advancing engineering solutions with direct national and global relevance. His professional engagements with research communities demonstrate a commitment to collaboration and knowledge sharing, reinforcing the application of mechanical design and industrial engineering to contemporary challenges in defence and environmental sectors. By focusing on sustainable engineering and protective material innovation, Elias is building pathways for future technological progress where safety, resilience, and efficiency intersect. His research demonstrates a blend of theoretical rigor and practical application, strengthening the role of composites in modern engineering while contributing to scientific discourse in protective technologies. Elias Wakshume’s efforts mark him as a growing contributor to both defence technology advancement and sustainable engineering practice.

Profiel: ORCID
Publications:

  1. Experimental and analytical study on the flexural behavior a novel steel-NC-UHPC composite bridge deck system. (2025).

  2. Experimental study on negative bending resistance of steel-NC-UHPC composite bridge deck. (2025).

Pei Bida – Construction Management – Best Researcher Award

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Pei Bida | Construction Management | Best Researcher Award

Lecture | Changsha University of Science & Technology | China

Pei Bida has focused research efforts on advancing the field of civil and environmental engineering with a strong emphasis on modern methods and technologies that enhance the performance, safety, and sustainability of large-scale infrastructure systems. His primary interests include Building Information Modeling (BIM), which he employs to improve project coordination, optimize resource use, and advance the integration of digital solutions into engineering practices. A significant portion of his work is devoted to the numerical simulation of large-span bridges, where he applies computational techniques to analyze structural responses under varying conditions, thereby providing more accurate assessments of safety, serviceability, and durability. This direction in research contributes to the efficient design, construction, and maintenance of bridge systems, ensuring that they meet the increasing demands of modern transportation networks. Another key area of his expertise lies in the fatigue analysis of steel bridges, where he examines the long-term behavior of materials and structural components subjected to cyclic loading. Through such investigations, he seeks to address critical issues of degradation and performance loss, thereby extending the service life of important infrastructure while reducing maintenance costs. His research not only contributes to academic understanding but also has direct practical applications in engineering practice, offering solutions to pressing challenges faced in bridge construction and management. By integrating BIM, advanced simulations, and fatigue studies, Pei Bida is shaping a holistic approach to modern civil engineering that bridges theoretical insights with engineering applications. His contributions demonstrate a commitment to advancing safe, efficient, and technologically driven infrastructure solutions that align with the evolving needs of society. This ongoing body of work underlines his role as a significant contributor to civil engineering research, and his scholarly impact is reflected in 231 Citations by 217 documents, 23 Documents, and a 9 h-index View.

Profile: Scopus
Publications

  1. Experimental and analytical study on the flexural behavior of a novel steel-NC-UHPC composite bridge deck system. (2025).

  2. Experimental study on negative bending resistance of steel-NC-UHPC composite bridge deck. (2025).

Javad Mokari – Concrete Design and Retrofit – Best Researcher Award

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Javad Mokari | Concrete Design and Retrofit | Best Researcher Award

Civil Engineering | Urmia University of Technology | Iran

Javad Mokari Rahmdel has developed a strong research career in civil and earthquake engineering, focusing on seismic performance evaluation, rehabilitation, and structural control. His work emphasizes the resilience of reinforced concrete and steel structures, retrofitting techniques, and advanced materials such as carbon fiber-reinforced polymers and shape memory alloys. Publications demonstrate his expertise in both experimental and numerical approaches, addressing challenges like confinement, retrofitting, and dynamic response of structures under seismic loads. He has contributed to seismic rehabilitation strategies through analytical modeling, innovative jacketing systems, and performance-based assessment of structures. Javad Mokari Rahmdel has extended his research to geotechnical aspects, structural dynamics, and seismic hazard mitigation, presenting findings at national and international conferences. His authored books on steel and concrete construction monitoring showcase his ability to link theoretical concepts with practical engineering applications. He has supervised numerous postgraduate theses and participated in multiple funded research projects, reinforcing his commitment to advancing earthquake-resistant design. His teaching portfolio, covering advanced mathematics, elasticity, structural stability, reinforced concrete design, and hazard analysis, highlights his role in shaping future engineers. In addition, his professional activities include leadership positions in academic and technical committees, active membership in engineering associations, and delivering specialized workshops and lectures on seismic safety. His recent collaborations explore high-strength materials, nonlinear modeling, and innovative retrofitting strategies to address modern challenges in structural engineering. Through multidisciplinary engagement and consistent scholarly output, Javad Mokari Rahmdel has built a comprehensive research profile that contributes significantly to seismic risk reduction, resilient infrastructure design, and sustainable urban development, establishing him as a recognized academic and practitioner in earthquake engineering and structural mechanics.

Profile: Scopus | Google Scholar
Publications:

Dr. Dinesh G – Wirless Sensors – Excellence in Research

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Dr. Dinesh G | Wirless Sensors | Excellence in Research

Assistant Professor | SRM Institute of Science and Technology | India

Dr. Dinesh G has established a strong research profile in the field of computer science with notable expertise spanning cognitive radio networks, artificial intelligence, machine learning, wireless sensor networks, and Internet of Things applications. His contributions include optimization techniques for spectrum sharing, development of secure and efficient network protocols, and innovative applications of AI for healthcare, sustainable energy, agriculture, and environmental monitoring. His work integrates advanced optimization algorithms like Salp Swarm Optimization and Modified Spider Monkey Optimization for enhancing energy efficiency and scheduling in cognitive radio systems. Beyond wireless communication, Dr. Dinesh has expanded research into domains such as reinforcement learning for thermoplasmonic imaging, deep learning for subsurface hydrology, AI-driven coral reef monitoring, and real-time disease detection in agriculture. His multidisciplinary approach reflects a strong alignment with societal needs, focusing on healthcare prediction models, e-vehicle sustainability, smart farming, and secure data transmission frameworks. The publication record spans SCIE and Scopus-indexed journals, covering diverse areas such as cybersecurity, big data analytics, environmental health, and computational intelligence, demonstrating a balance between theoretical models and practical applications. In addition, patents on AI-based prediction, 5G-ORAN synchronization, and collaborative filtering systems highlight his innovative drive and industry relevance. His collaborative works with industries such as Renault Nissan and Mahindra further reinforce the applied impact of his research in automotive and computer vision domains. With contributions to book chapters, international conferences, and training initiatives, Dr. Dinesh has advanced both academic scholarship and industrial applications. His dedication to emerging technologies like blockchain, edge computing, and intelligent systems positions his research within the evolving global landscape of computing and communication. With 87 citations from 75 documents, 21 published works, and an h-index of 6.

Profile: Scopus | ORCID | Google Scholar
Publications:

  1. Unveiling hidden water resources: Deep learning and remote sensing for subsurface hydrology for environmental health. (2025).  available.

  2. Modified spider monkey optimization—An enhanced optimization of spectrum sharing in cognitive radio networks. (2021). Cited by 30.

  3. Analysis of classification and clustering techniques for ambient AQI using machine learning algorithms. (2022). Cited by 11.

  4. Comparative analysis of diverse classification algorithms of machine learning by using various quality metrics. (2023). Cited by 9.

  5. Demand based crop prediction using machine learning algorithm. (2020). Cited by 9.

Dr. C. Vigneshkumar | Construction Management | Best Researcher Award

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Dr. C. Vigneshkumar | Construction Management | Best Researcher Award

Postdoctoral Fellow | The Hong Kong Polytechnic University | India 

Dr. Vigneshkumar Chellappa has established a strong research foundation in the domains of human factors, ergonomics, construction safety, and design innovation, with a particular emphasis on prevention through design and occupational health in construction industries. His work focuses on integrating ergonomic principles with construction safety management, aiming to minimize risks and enhance well-being through effective strategies. Vigneshkumar has contributed significantly to developing frameworks and applications of game-based learning, immersive virtual reality, and digital technologies to strengthen hazard recognition skills, improve knowledge management practices, and create innovative training methods for construction workers. His research also investigates barriers to safety implementation, risk assessment processes, and user-centered design approaches, addressing both technological and human-centered challenges in construction. Collaborations with international institutions have broadened his work on safety culture, sustainability in education, and inclusive design practices. He has advanced the discourse on safety helmet redesign, corporate social responsibility in construction, and ergonomic risk assessment using digital human modeling and digital twin technologies. Vigneshkumar’s contributions extend to cross-disciplinary applications of ergonomics, psychological well-being, and design education, with notable publications in leading journals and conferences. His research outcomes emphasize practical strategies for safety improvement while bridging gaps between theory and practice in civil engineering and design. His dedication to occupational safety, risk management, and innovative design-based methodologies continues to gain recognition through awards, fellowships, and scholarly impact across global academic and professional communities. With 42 publications, 229 citations from 139 documents, and an h-index of 7.

Profile: Google Scholar | Scopus | ORCID
Publications:

  1. Safety knowledge management practices in Indian construction companies. (2022). Cited by 9.

  2. Digital twin approach for the ergonomic evaluation of vertical formwork operations in construction. (2023). Cited by 8.

  3. Digital technologies (DTs) for safety education and training in construction. (2024). Cited by 7.

  4. Analysis of workers’ fall accidents due to formwork operations. (2022). Cited by 7.

  5. Application of multiple-criteria decision making methods for construction safety research. (2024). Cited by 6.

WoonSeong Jeong | Information Technology using BIM | Best Researcher Award

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WoonSeong Jeong | Information Technology using BIM | Best Researcher Award

Associate Professor | Chungbuk National University | South Korea

WoonSeong Jeong is an accomplished researcher and academic in the field of architectural engineering, specializing in Building Information Modeling (BIM), object-oriented physical modeling, building energy simulation, and digital twin frameworks for construction and operation. His work integrates computational methods with sustainable design practices, bridging BIM technologies with multi-domain performance analysis to advance construction management, thermal simulations, and off-site construction processes. His research portfolio includes several major projects funded by the National Research Foundation of Korea, focusing on immersive BIM-based off-site construction simulations, digital twin model development, and intelligent operation management frameworks. Earlier contributions include collaborative projects supported by the U.S. National Science Foundation, the American Society of Heating, Refrigerating, and Air Conditioning Engineers, and the U.S. Department of Energy, where he explored applications of BIM in solar building design, nuclear plant cooling systems, and thermal compliance testing. Jeong’s publications in international journals such as Applied Sciences, Sustainability, Advances in Civil Engineering, and Automation in Construction demonstrate his expertise in developing automated frameworks for translating sketches and spatial data into BIM environments, enhancing efficiency in performance analysis, and optimizing construction operations. His conference presentations span global platforms, where he introduced innovative methods for lean production management, energy performance visualization, and parametric modeling. Recognized with awards including the Charles M. Eastman Top PhD Paper Award, fellowships, and scholarships from professional bodies such as the International Facility Management Association and Texas A&M University, Jeong has consistently contributed to advancing knowledge in digital construction and sustainable architectural engineering. Alongside journal articles, he has co-authored books and technical reports on BIM integration, parametric modeling, and lifecycle cost analysis, further strengthening his role as a thought leader in the digital transformation of construction and building performance research. His membership in professional associations such as IFMA, ACADIA, and KSEA reflects his active engagement in global research communities.

Profile: ORCID | Google Scholar
Publications

Developing a physical BIM library for building thermal energy simulation. (2015). Cited by 293.

BIM-integrated construction operation simulation for just-in-time production management. (2016). Cited by 117.

Translating building information modeling to building energy modeling using model view definition. (2014). Cited by 83.

Interfacing BIM with building thermal and daylighting modeling. (2013). Cited by 78.

A framework to integrate object-oriented physical modelling with building information modelling for building thermal simulation. (2016). Cited by 70.

Lin Xu – Materials Science and Engineering – Best Researcher Award

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Lin Xu - Materials Science and Engineering - Best Researcher Award

Office Director of Graduate School | Shenyang Institute of Engineering | China

Lin Xu is an accomplished researcher and academic in the field of electromagnetic hydromechanics and superconductors for energy storage coils, currently serving as Associate Professor at Shenyang Institute of Engineering. With a strong international academic background, including visiting scholar experience at Ilmenau University of Technology in Germany, Lin Xu has built expertise recognized through membership in the Weize Expert Database for Mechanical Engineering, the Chemical Industry Association of China, and the Liaoning Engineering Thermodynamics Society. Acknowledged as Shenyang High-Level “Leading” Talent, SYEU Young Talent, and Science & Technology Pioneer, Lin Xu plays a significant role as a backbone faculty member in Power and Thermal Engineering at SYEU. Contributions extend beyond teaching and mentoring, with active involvement in editorial and review work for respected journals such as Journal of Metals, Ironmaking & Steelmaking, and membership in the Youth Editorial Board of Steel Vanadium Titanium and Contemporary Chemical Industry Research. Research achievements include leading five provincial and municipal vertical projects and four horizontal projects, with total funding surpassing 310,000 RMB, alongside participation in national and international collaborations such as NSFC projects, National Discipline Innovation Projects, and a DFG-supported initiative with Germany. Scholarly output is notable, with more than twenty high-level publications in prestigious journals, including nine SCI-indexed papers as first author, as well as three EI papers, covering topics such as electromagnetic braking, heat transfer, melt flow, and solidification processes in continuous casting. Practical impact is evident in the acquisition of five invention patents granted across China, Japan, and Europe, with successful technology transfers valued at 200,000 RMB. This strong balance of theoretical innovation, applied research, and industry contribution underscores Lin Xu’s continuing influence in advancing mechanical engineering and materials science, particularly in the areas of superconducting applications and metallurgical process optimization.

Profile: Scopus | ORCID
Publications:

  • Xu, L., Pei, Q., & Gao, J. (2025). Analysis of mechanical and quench behavior in high-temperature superconductors for energy storage coils. Physica C: Superconductivity and its Applications.

  • Li, N., Feng, P., Xu, L., Tang, M., & He, Z. (2025). Pore scale numerical simulation of flow and heat transfer non-equilibrium in randomly packed bed. Numerical Heat Transfer, Part A: Applications.

  • Xu, L., Tang, M., Lyu, Z., Li, N., Liu, C., & Pei, Q. (2024). Influence of operating parameters on metal flow and thermal characteristics in an EMBr-single-ruler controlled CSP funnel-shaped mould. Metallurgical Research & Technology.

  • Xu, L., Pei, Q., Han, Z., Cui, J., Pan, H., & Yao, Y. (2022). Influences of the braking effect of ruler EMBr on molten steel flow and steel–slag interface fluctuation in a continuous casting mold. Processes.

Adrien Gallet – Structural Engineering – Best Researcher Award

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Dr. Adrien Gallet - Structural Engineering - Best Researcher Award

Computational Structural Engineering | Unipart Construction Technologies | United Kingdom

Adrien Gallet is a trilingual doctoral researcher in structural engineering with strong expertise in parametric modelling, Python programming, and structural design, currently pursuing a PhD at the University of Sheffield. Research focuses on machine-learned structural design models from the inverse problem perspective, producing multiple journal articles and data repository contributions. Professional experience spans academia and industry, including doctoral research and teaching roles at Sheffield, a design engineering placement at AKT II in London contributing to Google’s KGX1 office project, consulting work at BE Design Partnership on warehouse projects, and contracting engineering internship at Max Boegl. Research achievements involve the development of physics-informed neural network training pipelines, Grasshopper support scripts, and optimisation programs in Python and MATLAB, reflecting a strong integration of engineering and computational methods. Recognition includes prestigious awards such as the Outstanding Teaching Delivery Award, IStructE Young Researcher Conference Poster Award, Royal Academy of Engineering Scholarship, and multiple academic prizes from the University of Sheffield, demonstrating consistent academic excellence and leadership potential. Extracurricular activities highlight involvement in orienteering, long-distance running, and fencing, alongside leadership in founding the USIS Trading Division, encouraging financial market exposure for students. Technical proficiency covers advanced software tools like Rhino/Grasshopper, Karamba3D, Robot, Peregrine, and AutoCAD, combined with coding expertise in Python and MATLAB. Fluent in English, German, and French, Adrien demonstrates strong international and collaborative potential. A balance between research, teaching, engineering practice, and extracurricular engagement reflects adaptability, innovation, and leadership in both academic and professional settings, positioning Adrien as a highly capable researcher whose work advances the integration of computational intelligence with structural engineering, while maintaining strong interdisciplinary and practical contributions to the field.

Profile: Scopus | ORCID
Publications

  • Zhuang, B., Gallet, A., & Smyl, D. (2025). Inverse structural design with generative and probabilistic autoencoders and diffusion models. Engineering Applications of Artificial Intelligence.

  • Smyl, D., Zhuang, B., Rigby, S., Bruun, E., Jones, B., Kastner, P., Tien, I., & Gallet, A. (2025). OpenPyStruct: Open-source toolkit for machine learning-driven structural optimization. Engineering Structures.

  • Gallet, A., Liew, A., Hajirasouliha, I., & Smyl, D. (2024). Influence zones of continuous beam systems. Structures.

  • Gallet, A., Smyl, D. (2024). IZ kmax: Influence zone results and design datasets. Dataset.

  • Gallet, A., Liew, A., Hajirasouliha, I., & Smyl, D. (2024). Machine learning for structural design models of continuous beam systems via influence zones. Inverse Problems.