Fawaz Annaz | Engineering | Best Research Award

Published on by Book of Award

Dr. Fawaz Annaz | Engineering | Best Research Award

Birmingham City University | United Kingdom

Dr. Fawaz Annaz is a distinguished researcher recognized for his extensive contributions to robotics, electromechanical systems, artificial intelligence, and mechatronics. With 622 citations, 9 h-index, and 9 i10-index, his scholarly impact spans decades of innovation and collaboration across Japan, the UK, Malaysia, and beyond. He has published over 60 research papers in leading Q1 and Q2 journals such as Aerospace Science and Technology and Sustainable Cities and Society. His pioneering patents—including a European patent for a new generation of industrial robots and a U.S. patent for a visual pronunciation dictionary—demonstrate his cross-disciplinary innovation bridging engineering and linguistics. Dr. Annaz has led several international research collaborations in UAV technologies, smart actuation, AI explainability, and biomedical systems such as the mono-pivot artificial heart. As a Chartered Engineer (CEng), Fellow of the Higher Education Academy (FHEA), and member of the Institution of Engineering and Technology (IET), he continues to advance global research in robotics, automation, and intelligent systems through academic leadership, external examining, and PhD supervision. His research excellence is reflected not only in his publication record but also in his lasting contributions to sustainable technological advancement and interdisciplinary innovation.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Annaz, F. Y. (2025). Robust equalization of multi-lane electromechanical actuators: Comparative analysis of torque-summed and velocity-summed architectures. Aerospace Science and Technology, 2025, 111129. [Q1; IF = 5.8]

Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2025, July 3–6). Deep reinforcement learning with local interpretability for transparent microgrid resilience energy management. Proceedings of the 5th International Conference on Electrical, Computer and Energy Technologies.

Nejati Amiri, M. H., Sandeep, D., Annaz, F. Y., De Oliveira, M., & Guéniat, F. (2025, March 16). Two-stage microgrid resilience and battery life-aware planning and operation for cyclone-prone areas in India. Sustainable Cities and Society. [Q1; IF = 10.5]

Rezazadeh, N., Annaz, F., Abdullah, W., Vieira Filho, J., & De Oliveira, M. (2025). A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis. Structural Health Monitoring, 0(0). [Q1; IF = 5.7]

Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2024). Strategies for resilience and battery life extension in the face of communication losses for isolated microgrids. IEEE COINS 2024. (In press)

Annaz, F. Y. (2024). The impact of force equalization in minimizing the effect of drift in feedback transducers in torque-summed electromechanical actuators. Engineering Science and Technology, an International Journal, 49, 101597. [Q1; IF = 5.7]

Annaz, F. Y., & Kaluarachchi, M. M. (2023). Progress in redundant electromechanical actuators for aerospace applications. Aerospace, 10(9), 787. [Q2; IF = 2.6]

Idrissi, M., Salami, M., & Annaz, F. Y. (2022). A review of unmanned aerial vehicles: Applications, architectural design and control algorithms. Journal of Intelligent and Robotic Systems, 22(1). [Q1; IF = 3.3]

Idrissi, M., Annaz, F. Y., & Salami, M. (2021). Mathematical and physical modelling of a quadrotor UAV. IEEE Conference Proceedings.

Idrissi, M., Salami, M., & Annaz, F. Y. (2021). Modelling, simulation and control of a novel structure varying quadrotor. Aerospace Science and Technology, 2021(8). [Q1; IF = 5.6]

Annaz, F. Y. (2020). Force equalisation in torque-summed electromechanical actuators. Measurement, 156, 16. [Q1; IF = 5.6]

Idrissi, M., & Annaz, F. Y. (2020). Dynamic modelling and analysis of a quadrotor based on selected physical parameters. International Journal of Mechanical Engineering and Robotics Research, 9(6), 784–790. [Q3]

Annaz, F. Y. (2015). UAV testbed training platform development using Panda3D. Industrial Robot: An International Journal, 42(5), 450–456. [Q2; IF = 1.436]

Annaz, F. Y., & Khan, H. (2014). Hardware–virtual environment integration. Proceedings of the Institution of Engineering and Technology (IET), Brunei.

Luigi Fortuna | Engineering | Excellence in Innovation Award

Published on by Book of Award

Prof. Luigi Fortuna | Engineering | Excellence in Innovation Award

Universit Di Catania | Italy

Prof. Luigi Fortuna is a distinguished researcher whose prolific contributions have significantly advanced the fields of automation, nonlinear systems, bioengineering, and control theory. Over his career, he has published 760 scientific documents, accumulating 14,687 citations and achieving an impressive h-index of 67, reflecting the depth and impact of his scholarly output. His extensive body of work spans topics such as robust control, model order reduction, nonlinear electronic circuits, bio-inspired robotics, and complex system engineering. He has co-authored 24 internationally recognized books, including Nonlinear Resonance from Circuits to Systems (2025) and Essentials of Automatic Control with MATLAB in 20 Lessons (2025), which have become key academic resources. A mentor to over 400 thesis projects and 60 Ph.D. students, his dedication to education and innovation is unparalleled. Prof. Fortuna’s research integrates theory and application, exemplified by his 11 industrial patents that bridge academic insight with technological innovation. His leadership roles—such as Dean of Engineering at the University of Catania and Director of the Innovation Relay Center—underscore his influence in academia and industry alike. His interdisciplinary vision continues to inspire advancements in nonlinear dynamics, intelligent systems, and quantum-inspired engineering research worldwide.

Profiles : Scopus | Google Scholar

Featured Publications

Yadav, U. K., Singh, V. P., Fortuna, L., & Sahu, U. K. (2025). SMART-based multi-point matching assisted approximation of renewable interconnected power system. IEEE Access.

Lai, Q., Liu, Y., & Fortuna, L. (2024). Dynamical analysis and fixed-time synchronization for secure communication of hidden multiscroll memristive chaotic system. IEEE Transactions on Circuits and Systems I: Regular Papers.

Fortuna, L., & Buscarino, A. (2024). The impact of circuits and systems on the Etna Valley site [CAS Regional Report]. IEEE Circuits and Systems Magazine, 24(2), 98–100.

Bucolo, M., Buscarino, A., Famoso, C., Fortuna, L., & Frasca, M. (2019). Control of imperfect dynamical systems. Nonlinear Dynamics, 98, 2989–2999.

Buscarino, A., Corradino, C., Fortuna, L., Frasca, M., & Chua, L. O. (2016). Turing patterns in memristive cellular nonlinear networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(8), 1222–1230.

Buscarino, A., Gambuzza, L. V., Porfiri, M., Fortuna, L., & Frasca, M. (2013). Robustness to noise in synchronization of complex networks. Scientific Reports, 3(1), 2026.

Frasca, M., Bergner, A., Kurths, J., & Fortuna, L. (2012). Bifurcations in a star-like network of Stuart–Landau oscillators. International Journal of Bifurcation and Chaos, 22(7), 1250173.

Fortuna, L., Frasca, M., & Xibilia, M. G. (2009). Chua’s circuit implementations: Yesterday, today and tomorrow (Vol. 65). World Scientific.

Caponetto, R., Fortuna, L., Fazzino, S., & Xibilia, M. G. (2003). Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 7(3), 289–304.

Bucolo, M., Caponetto, R., Fortuna, L., Frasca, M., & Rizzo, A. (2002). Does chaos work better than noise? IEEE Circuits and Systems Magazine, 2(3), 4–19.*

Simy Baby | Engineering | Best Researcher Award

Published on by Book of Award

Mrs. Simy Baby | Engineering | Best Researcher Award

National Institute of Technology | India

Mrs. Simy Baby is an emerging researcher whose scholarly contributions center on semantic communications, machine learning, and computer vision, with a strong emphasis on communication-efficient feature extraction for edge inference tasks. She has authored 2 documents, received 2 citations, and holds an h-index of 1, reflecting the growing impact of her research in advanced communication technologies. Her publications in SCI-indexed journals, including Elsevier’s Computers & Electrical Engineering and IEEE Transactions on Cognitive Communications and Networking, demonstrate her commitment to innovation and excellence. Her study, “Complex Chromatic Imaging for Enhanced Radar Face Recognition”, introduced a novel complex-valued representation preserving amplitude and phase information of mmWave radar signals, achieving 99.7% recognition accuracy. Another major contribution, “Complex-Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication”, proposed a CLDA-based encoding framework that improved feature interpretability and robustness under varying channel conditions. Her ongoing projects explore Data Fusion Discriminant Analysis (DFDA) for multi-view activity recognition and Semantic Gaussian Process Regression (GPR) for vehicular pose estimation, advancing the integration of semantic communication and computer vision. Mrs. Simy Baby’s research represents a vital step toward the development of intelligent, efficient, and adaptive communication systems for next-generation technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Baby, S. M., & Gopi, E. S. (2025). Complex valued linear discriminant analysis on mmWave radar face signatures for task-oriented semantic communication. IEEE Transactions on Cognitive Communications and Networking.

Baby, S. M., & Gopi, E. S. (2025, April). Complex chromatic imaging for enhanced radar face recognition. Computers and Electrical Engineering.

Donato Abruzzese | Engineering | Best Researcher Award

Published on by Book of Award

Prof. Donato Abruzzese | Engineering | Best Researcher Award

University of Rome “Tor Vergata” | Italy

Prof. Donato Abruzzese is an eminent scholar in structural and seismic engineering, holding an h-index of 11, with 31 documents and 380 citations across 340 publications. Currently serving as an Associate Professor at the University of Rome “Tor Vergata,” he has made significant contributions to the fields of structural analysis, cultural heritage preservation, and seismic safety of historical masonry structures. His research encompasses dynamic identification of ancient towers, IoT-based structural health monitoring, and innovative approaches to rehabilitation of monuments. Prof. Abruzzese has authored over 100 scientific papers published in high-impact international journals and conference proceedings. A member of RELUIS (National Laboratories of Seismic Engineering) and the Italian Association of Engineers, he has collaborated extensively with global institutions across the USA, China, Mongolia, Japan, and beyond. His expertise is recognized through peer-review roles for leading journals such as Journal of Cultural Heritage, Structural Health Monitoring, and Construction and Building Materials. He has received honors including Honorary Professor of Mongolian Technical University  and Distinguished Visiting Professor at Yangzhou University. Through his pioneering research in heritage structure resilience, advanced materials, and smart monitoring systems, Prof. Abruzzese continues to shape the evolution of civil and structural engineering worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Wang, P., Liu, G., Li, F., Li, S., Milani, G., & Abruzzese, D. (2025). Assessment of knot-induced degradation in timber beams: Probabilistic modeling and data-driven prediction of load capacity loss. Buildings, 15(12), 2058.

Liu, W., Yang, N., Liu, B., Feng, H., Wang, B., Du, K., & Abruzzese, D. (2025). Sensitivity analysis and optimization of user-defined parameters in covariance-driven stochastic subspace identification. International Journal of Structural Stability and Dynamics, 25(4).

Liu, W., Yang, N., Abruzzese, D., & Bai, F. (2024). Identification of dynamic characteristics of a heritage building—Yingxian Wooden Pagoda. In Advances in Structural Dynamics and Monitoring (pp. xxx–xxx). Springer.

Lettieri, R., Fazio, V., Abruzzese, D., Di Bartolomeo, E., D’Ottavi, C., Micheletti, A., Tiero, A., Duranti, L., Armuzza, V., & Licoccia, S. (2024). Influence of natural additives on the properties of a milk-based compostable bioplastic. RSC Advances, 14(xx), xxx–xxx.

Liu, W., Yang, N., Bai, F., & Abruzzese, D. (2023). Automatic identification of structural modal parameters under ambient excitation and its application to heritage timber structures. In Advances in Structural Engineering and Heritage Conservation (pp. xxx–xxx). Springer.

Li, F., Abruzzese, D., Milani, G., & Li, S. (2022). Influence of internal defects of semi-grouted sleeve connections on the seismic performance of precast monolithic concrete columns. Journal of Building Engineering, 51, 104009.

Abruzzese, D., Paterna, P., Marocchini, C., Vuth, S. M., Micheletti, A., Rosa, C., Tiero, A., & Sukaj, S. (2022). The necessary permanent WiFi health monitoring of the structures as condition for the smart buildings in smart cities. INGENIOUS, 1(1), 45–60.

Abruzzese, D. (2021). An iterative rectification procedure analysis for historical timber frames: Application to a cultural heritage Chinese pavilion. Engineering Structures, 236, 112083.

Abruzzese, D. (2021). Permanent monitoring of thin structures with low-cost devices. Curved and Layered Structures, 8(2), 145–154.

Abruzzese, D. (2020). Behavior of traditional Chinese mortise-tenon joints: Experimental and numerical insight for coupled vertical and reversed cyclic horizontal loads. Journal of Building Engineering, 32, 101575.

Abruzzese, D. (2020). BlockNet: A new flexible control architecture. In Proceedings of the 28th Mediterranean Conference on Control and Automation (MED) (pp. xxx–xxx). IEEE.

Abruzzese, D. (2020). Exoway: An exoskeleton on actuated wheels. arXiv Preprint, arXiv:2010.13393.

Abruzzese, D. (2020). IoT sensors for modern structural health monitoring: A new frontier. Procedia Structural Integrity, 26, 123–132.

Abruzzese, D. (2020). Multidisciplinary researches in cultural heritage studies: An approach on Akkale Cistern in Erdemli, Mersin. Cultural Heritage and Science, 5(1), 55–66.

 

Yana Mourdjeva | Engineering | Best Researcher Award

Published on by Book of Award

Mrs. Yana Mourdjeva | Engineering | Best Researcher Award

Institute of Metal Science, Equipment and Technologies with Hydro- and Aerodynamics Centre – BAS | Bulgaria

Mrs. Yana Mourdjeva is a distinguished researcher at the Institute of Metal Science, Equipment, and Technologies with the Center for Hydro- and Aerodynamics “Acad. A. Balevski” at the Bulgarian Academy of Sciences (IMSETHC-BAS), serving in the Laboratory of Transmission Electron Microscopy (LMTC). She holds a Master’s degree in Machine Engineering from the Technical University of Sofia and a Ph.D. in Material Science and Technology of Machine Building Materials from IMSETHC-BAS. Her research focuses on materials science, characterization of metals and alloys, transmission electron microscopy, hydrogen embrittlement, nanomaterials, and superplasticity. With an h-index of 5, she has authored 18 scientific publications, including 8 with impact factors, and her work has received 64 citations. In recent years, she has actively contributed to projects funded by the Bulgarian National Science Fund and the EU Next Generation initiative, exploring advanced aluminum composites, amorphous alloys, and hydrogen embrittlement mechanisms. She has participated in international Erasmus collaborations at the Metallurgy Institute in Krakow, Poland, further enhancing her expertise in materials characterization. Her research outcomes have appeared in reputed journals such as Metals and Journal of Materials Engineering and Performance, strengthening the field’s understanding of microstructural evolution and performance of metallic materials.

Profiles : Scopus | Orcid

Featured Publications

Dyakova, V., Yanachkov, B., Valuiska, K., Mourdjeva, Y., Krastev, R., Simeonova, T., Kolev, K., Lazarova, R., & Katzarov, I. (2025). The impact of hydrogen charging time on microstructural alterations in pipeline low-carbon ferrite–pearlite steel. Metals. Multidisciplinary Digital Publishing Institute.

Lazarova, R., & Mourdjeva, Y. (2025, May 7). Microstructural explanation of the mechanical properties of Al–GNPs composites with Al₄C₃ produced by powder metallurgy method and extrusion. Journal of Information Systems Engineering and Management, 10(43s).

Lazarova, R., Anestiev, L., Mourdjeva, Y., Valuiska, K., & Petkov, V. (2025, March 5). Microstructural evolution, strengthening mechanisms, and fracture behavior of aluminum composites reinforced with graphene nanoplatelets and in situ–formed nano-carbides. Metals, 15(3).

Dyakova, V., Mourdjeva, Y., Simeonova, T., Krastev, R., Atanasov, I., Drenchev, L., & Kavardjikov, V. (2024). Microstructural analysis of 40X steel after strain-controlled fatigue. Journal of Theoretical and Applied Mechanics (Bulgaria).

Yanachkov, B., Mourdjeva, Y., Valuiska, K., Dyakova, V., Kolev, K., Kaleicheva, J., Lazarova, R., & Katzarov, I. (2024). Effect of hydrogen content on the microstructure, mechanical properties, and fracture mechanism of low-carbon lath martensite steel. Metals, 14.

Dyakova, V., Cherneva, S., Mourdjeva, Y., & Kostova, Y. (2024, June 30). Influence of the content of Ni as minority alloying element on the microstructure and mechanical properties of amorphous and ultrafine crystalline Al–Cu–Mg–Ni alloys. Proceedings of the Bulgarian Academy of Sciences.

Dyakova, V., Mourdjeva, Y., Spasova, H., Stefanov, G., & Kostova, Y. (2023). Effect of Cu as minority alloying element on glass forming ability and crystallization behavior of rapidly solidified Al–Si–Ni ribbons. Vide. Tehnologija. Resursi – Environment, Technology, Resources.

Dyakova, V., Mourdjeva, Y., Marinkov, N., Stefanov, G., Kostova, Y., & Gyurov, S. (2023). Effect of Ni as minority alloying element on glass forming ability and crystallization behavior of rapidly solidified Al–Cu–Mg–Ni ribbons. Journal of Chemical Technology and Metallurgy, 58(5).

Kolev, M., Lazarova, R., Petkov, V., Mourdjeva, Y., & Nihtianova, D. (2023). Investigating the effects of graphene nanoplatelets and Al₄C₃ on the tribological performance of aluminum-based nanocomposites. Metals, 13.

Mourdjeva, Y., Karashanova, D., Nihtianova, D., & Lazarova, R. (2023). Microstructural characteristics of Al₄C₃ phase and the interfaces in Al/graphene nanoplatelet composites and their effect on the mechanical properties. Journal of Materials Engineering and Performance.

Lazarova, R., Mourdjeva, Y., Nihtianova, D., Stefanov, G., & Petkov, V. (2022). Fabrication and characterization of aluminum–graphene nanoplatelets–nano-sized Al₄C₃ composite. Metals, 12(12).

Dyakova, V., Stefanov, G., Penkov, I., Kovacheva, D., Marinkov, N., Mourdjeva, Y., & Gyurov, S. (2022). Influence of Zn on glass forming ability and crystallization behaviour of rapidly solidified Al–Cu–Mg (Zn) alloys. Journal of Chemical Technology and Metallurgy, 57(3).

Dyakova, V., Stefanov, G., Kovacheva, D., Mourdjeva, Y., Marinkov, N., Penkov, I., & Georgiev, J. (2022). Influence of Zr and Zn as minority alloying elements on glass forming ability and crystallization behavior of rapidly solidified Al–Cu–Mg ribbons. AIP Conference Proceedings, 2449.

Lazarova, R., Mourdjeva, Y., Petkov, V., Marinov, M., Dimitrova, R., & Shuleva, D. (2022, December). Microstructure and mechanical properties of aluminum–graphene composites produced by powder metallurgical method. Journal of Materials Engineering and Performance, 31(12).

Leila Celin Nascimento | Engineering | Women Research Award

Published on by Book of Award

Dr. Leila Celin Nascimento | Engineering | Women Research Award

Instituto Federal do Espirito Santo | Brazil

Dr. Leila Celin Nascimento is a distinguished researcher in Civil and Environmental Engineering, with a Ph.D. in Materials Engineering from Universidade Estadual Norte Fluminense (2024), a Master’s degree in Environmental Engineering from Universidade Federal do Espírito Santo (2002), and a Bachelor’s degree in Civil Engineering from the same institution (2000). She currently serves as a professor in technical and technological education at Instituto Federal do Espírito Santo (IFES – Campus Vitória). Her research expertise spans Civil Engineering, with strong emphasis on Environmental and Materials Engineering, focusing on coating mortars, solid waste management, construction materials, and construction technology. She has contributed to four scholarly publications, with a total of 37 citations and an h-index of 2. Dr. Nascimento has led and participated in research projects evaluating solid waste management infrastructure and analyzing pathological manifestations in buildings, reflecting her applied research impact. In addition to research, she has extensive teaching experience in water resources, environmental planning, geology, water supply, and solid waste, as well as professional development in scientific writing, gamification in education, and hybrid learning methods. Her work demonstrates a commitment to advancing sustainable construction practices, integrating technical education with environmental and materials research, and mentoring students in applied scientific inquiry, making her a significant contributor to the fields of civil and environmental engineering.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Nascimento, L. C., Baptista Junior, G., Xavier, G. C., Azevedo, A. R. G. de, Monteiro, S. N., & Alledi, C. T. D. B. (2025). Performance of wood bottom ash as a replacement for Portland cement in coating mortars. Journal of Materials Research and Technology.

Baptista Junior, G., Nascimento, L. C., Xavier, G. C., Monteiro, S. N., Vieira, C. M. F., Marvila, M. T., & Alledi, C. T. D. B. (2024). Durability for coating mortars: Review of methodologies. Journal of Materials Research and Technology.

Nascimento, L. C., Baptista Junior, G., Xavier, G. C., Monteiro, S. N., Vieira, C. M. F., Azevedo, A. R. G. de, & Alexandre, J. (2023). Use of wood bottom ash in cementitious materials: A review. Journal of Materials Research and Technology.

Nascimento, L. C., Baptista Junior, G., Nascimento, L. C., & Santos, G. F. (2021). Manifestações patológicas causadas por sistemas de climatização no IFES Campus Vitória. Revista Ifes Ciência, 7(1).

Chanh Vuong-Dinh | Engineering | Best Researcher Award

Published on by Book of Award

Dr. Chanh Vuong-Dinh | Engineering | Best Researcher Award

Duy Tan university | Vietnam

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Chanh Vuong-Dinh’s academic journey began with a strong foundation in engineering mechanics at Vietnam National University, where he developed a keen interest in the fundamentals of structural behavior and material mechanics. His early studies shaped his analytical approach and laid the groundwork for advanced exploration in computational engineering. With encouragement from academic mentors and recognition for his academic excellence, he pursued higher studies abroad to refine his expertise in civil and environmental engineering.

Professional Endeavors

Dr. Vuong-Dinh has combined industry practice and academic scholarship to enrich his professional career. Before entering academia, he worked as a pipeline design engineer at Petro Vietnam Engineering and as a pressure vessel design engineer at Hitachi Zosen Vietnam, where he gained practical experience in structural integrity and mechanical design. Transitioning into academia, he joined the Duy Tan Research Institute for Computational Engineering as a lecturer and researcher, where he continues to contribute to both teaching and research with a focus on computational mechanics.

Contributions and Research Focus

At the core of his research lies the advancement of computational modeling for complex engineering problems. His work specializes in finite element analysis, fracture mechanics, damage mechanics, and biomechanics, with particular emphasis on quasi-brittle materials, composites, and soft tissues. He has made significant contributions to the development of smoothing gradient damage models, enabling more accurate predictions of fracture behavior and failure mechanisms. His research extends to numerical methods for engineering, addressing both theoretical modeling and applied problem-solving.

Accolades and Recognition

Throughout his academic career, Dr. Vuong-Dinh has received several prestigious honors that reflect his scholarly dedication. His studies in Japan were supported by the Japanese Government MEXT Scholarship, a testament to his academic potential and research capability. Earlier in his academic path, he was awarded the Encouragement Scholarship at Vietnam National University for consistent academic excellence. These recognitions highlight his commitment to advancing civil engineering research at both national and international levels.

Impact and Influence

The influence of Dr. Vuong-Dinh’s research can be seen in the engineering community through his numerous publications in leading international journals such as Engineering Fracture Mechanics, Theoretical and Applied Fracture Mechanics, Composite Structures, and Computers & Structures. His contributions have advanced the understanding of fracture phenomena in brittle and composite materials, influencing both theoretical frameworks and engineering applications. Furthermore, his participation in global conferences and workshops has allowed him to share his expertise widely and engage in collaborative discussions with peers worldwide.

Legacy and Future Contributions

Dr. Vuong-Dinh’s scholarly output demonstrates a balance between theoretical innovation and practical application. By developing advanced computational models for structural analysis and damage prediction, his research provides essential tools for engineers addressing challenges in infrastructure, biomechanics, and material sciences. Moving forward, his focus on interdisciplinary applications, including biomechanics and soft tissue modeling, promises to expand the scope of his impact. His role as an academic mentor ensures the cultivation of future researchers who will further these developments.

Publications

Enhanced local damage model with polygonal elements for transient thermoelastic fracture analysis
Authors: Du Dinh Nguyen, Nguyen Hoang Le, Chanh Dinh Vuong, Minh Ngoc Nguyen, Tinh Quoc Bui
Journal: Mechanics of Materials
Publisher: Elsevier
Year: 2025

Multi-scale concurrent topology optimization of lattice structures with single type of composite micro-structure subjected to design-dependent self-weight loads
Authors: Minh Ngoc Nguyen, Duy Vo, Chanh Dinh Vuong, Tinh Quoc Bui
Journal: Computers & Structures
Publisher: Elsevier
Year: 2025

Transgranular and intergranular fracture in polycrystalline materials with the anisotropic smoothing gradient damage model
Authors: Chanh Dinh Vuong, Tinh Quoc Bui
Journal: Meccanica
Publisher: Springer
Year: 2025

Simulation of failure in fiber-reinforced composites and polycrystalline materials: A novel anisotropic local damage approach
Authors: Quan Nhu Tran, Minh Ngoc Nguyen, Chanh Dinh Vuong, Tinh Quoc Bui
Journal: Composite Structures
Publisher: Elsevier
Year: 2025

An enhanced local damage model for 2D and 3D quasi-brittle fracture: ABAQUS-FEM implementation and comparative study on the effect of equivalent strains
Authors: Quan Nhu Tran, Minh Ngoc Nguyen, Chanh Dinh Vuong, Nhung Nguyen, Tinh Quoc Bui
Journal: Advances in Engineering Software
Publisher: Elsevier
Year: 2025

Conclusion

Dr. Chanh Vuong-Dinh has built a distinguished career marked by academic rigor, professional versatility, and impactful research in computational mechanics. His journey from early studies in Vietnam to advanced research in Japan and current academic contributions at Duy Tan University reflects a dedication to bridging theory and practice in engineering. With his continued pursuit of innovative methods for understanding and solving complex structural problems, he stands as a promising leader in the field, contributing to both the advancement of scientific knowledge and the training of future generations of engineers.

Ding  Jia | Engineering | Best Researcher Award

Published on by Book of Award

Dr. Ding  Jia | Engineering | Best Researcher Award

CCTEG Xian Research Institute (Group) Co, Ltd. | China

Author Profile

Scopus

Orcid

Early Academic Pursuits

Dr. Ding Jia’s academic journey began with a strong foundation in mineral processing engineering, which provided him with a deep understanding of geological systems and mining processes. His early studies nurtured an interest in the environmental challenges associated with resource extraction, motivating him to further explore the complexities of geological engineering. Building upon this foundation, he pursued advanced training in geological engineering at both national and international institutions, where he refined his technical expertise and developed a global perspective on mining-related research challenges. These formative years instilled a blend of scientific rigor and practical insight that continue to shape his work today.

Professional Endeavors

Throughout his career, Dr. Ding Jia has actively engaged in high-level research and development projects addressing critical issues in mining and water resources. His professional endeavors include participation in major national research programs and collaborative projects focused on mine water management, groundwater contamination, and subsidence caused by resource extraction. He has worked extensively on experimental data analysis, numerical modeling, and the development of innovative techniques to mitigate environmental risks in mining regions. By combining theoretical studies with field-based applications, he has contributed practical solutions to challenges that affect both industry operations and local communities.

Contributions and Research Focus

Dr. Ding Jia’s primary research interests lie at the intersection of mining, groundwater, and environmental sustainability. His work has focused on overburden damage and surface subsidence caused by mining activities, water quality pollution resulting from groundwater rebound, and the mechanisms of water mixing during long-distance transport. He has developed advanced simulation models and analytical frameworks to better understand fluid dynamics, grouting failures, and groundwater contamination processes. These contributions not only enrich academic discourse but also provide actionable knowledge for managing mining-induced environmental impacts, particularly in regions dependent on safe groundwater resources.

Accolades and Recognition

His academic excellence and research achievements have been recognized through multiple awards and honors. From his early master’s studies through his doctoral research, Dr. Ding Jia consistently earned recognition as an outstanding student and scholar. Prestigious national academic scholarships and repeated commendations for leadership and research performance highlight his dedication to academic and professional growth. These accolades testify not only to his scholarly output but also to his leadership qualities, which have been evident throughout his academic journey. Such recognition underscores the significance of his contributions to geological engineering and environmental management.

Impact and Influence

The impact of Dr. Ding Jia’s work extends beyond the laboratory and into the broader scientific and industrial communities. His publications in internationally recognized journals address urgent environmental and geological challenges, and his findings have provided new perspectives on managing mining-induced water problems. By exploring innovative methods of water quality analysis, subsidence control, and mine water source identification, he has influenced both academic research and practical approaches to sustainable mining practices. His role in developing methods that integrate data processing, statistical modeling, and computational tools has further enhanced the way researchers and practitioners approach complex geological issues.

Legacy and Future Contributions

Looking forward, Dr. Ding Jia’s legacy is being shaped by his continuous pursuit of innovative solutions in mining-related environmental challenges. His future contributions are expected to expand in scope, integrating global research collaborations, advanced computational modeling, and interdisciplinary approaches. With his strong grounding in both field applications and theoretical frameworks, he is poised to advance sustainable practices in geological engineering while addressing pressing concerns of water safety and environmental protection. His work is likely to play a key role in developing new frameworks for resource management that balance industrial growth with ecological preservation.

Publication

Article: Comparative Study on Prediction Methods for Water Inflow in Regional High-Intensity Water Inrush Mine Clusters: A Case Study of Xiaozhuang Coal Mine
Authors: Ding J, Dong S, Guo X, Liu B
Journal: Applied Sciences
Year: 2025

Article: A Study of Interbedded Groundwater Contamination in a Mining Area and the Process of Grouting Composite Failure
Authors: Ding J, Dong D, Hu Z, et al.
Journal: Mine Water and the Environment
Year: 2023

Article: Spatial evolution analysis of groundwater chemistry, quality, and fluoride health risk in southern Hebei Plain, China
Authors: Zhang Longqiang, Dong Donglin, Lv Situ, Ding Jia
Journal: Environmental Science and Pollution Research
Year: 2023

Article: Source Discrimination of Mine Water Inrush Using Multiple Combinations of an Improved Support Vector Machine Model
Authors: Wei Zhonglin, Dong Donglin, Ji Yuan, Ding Jia, Yu Lujia
Journal: Mine Water and the Environment
Year: 2022

Article: Source Discrimination of Mine Water Inrush Based on Spectral Data and EGA-PNN Model – A Case Study from The Huangyuchuan Mine, China
Authors: Yuan Ji, Donglin Dong, Jun Gao, Zhonglin Wei, Jia Ding, Zhiqiang Hu
Journal: Mine Water and the Environment
Year: 2022

Conclusion

In summary, Dr. Ding Jia exemplifies a dedicated researcher whose academic and professional journey reflects excellence, innovation, and societal relevance. His work bridges the critical gap between geological research and sustainable mining practices, offering solutions to complex problems of water management, subsidence, and environmental preservation. Recognized for his scholarly achievements and leadership qualities, he has already made substantial contributions to geological engineering. As he continues to expand his research collaborations and apply his expertise to global challenges, his impact will resonate not only within academia but also in shaping policies and practices that ensure responsible and sustainable resource development.

 

 

Hanlin Liu | Engineering | Research for community Impact Award

Published on by Book of Award

Mr. Hanlin Liu | Engineering | Research for community Impact Award

Jilin Jianzhu University | China

Author profile

Google Scholar

Early Academic Pursuits

Mr. Hanlin Liu began his academic journey in the field of surveying and mapping engineering during his undergraduate studies at Jilin Jianzhu University. His dedication to precision and technical learning laid a strong foundation in geospatial sciences and civil engineering. With consistent performance and research-oriented thinking, he advanced to pursue a master’s degree in architecture and civil engineering at the same university. Under the guidance of his academic mentor, he cultivated a deep interest in remote sensing, machine learning, and environmental studies, setting the stage for his future research career.

Professional Endeavors

During his postgraduate years, Mr. Liu devoted himself to intensive laboratory work and field research. His professional endeavors included collaborative projects on soil analysis, wetland dynamics, mineral exploration, and fault diagnosis in mechanical systems. He demonstrated strong proficiency in scientific software, programming languages, and experimental design, which allowed him to develop advanced computational models and analytical frameworks. His role as an academic leader, serving as a class representative and editorial head, reflects his ability to balance research with organizational responsibilities.

Contributions and Research Focus

Mr. Liu’s research contributions span across environmental monitoring, mechanical fault diagnosis, and hyperspectral remote sensing. He explored the spatiotemporal dynamics of natural wetlands in Northeast China by integrating machine learning methods with optimization algorithms, offering new insights into ecological change drivers. His work on offshore wind turbine gearbox fault diagnosis proposed an interpretable, knowledge-driven framework that enriched mechanical reliability studies. Additionally, he advanced hyperspectral techniques for mineral alteration information extraction and developed innovative models to estimate soil heavy metal contents. These studies highlight his interdisciplinary focus combining artificial intelligence, geoscience, and environmental engineering.

Accolades and Recognition

Throughout his academic journey, Mr. Liu received multiple honors that reflect his excellence in research and innovation. He was awarded the National Scholarship and university-level first-class academic scholarships during his master’s program. His innovative projects earned recognition in provincial competitions, including awards in the “Internet+” Innovation and Entrepreneurship Contest, the “Challenge Cup,” and the Aerospace Knowledge Contest. During his undergraduate studies, he also won several distinctions in provincial surveying skill competitions, affirming his technical expertise and problem-solving ability.

Impact and Influence

Mr. Liu’s scholarly output includes multiple first-author and co-authored publications in high-impact journals indexed in SCI and EI. His research on wetlands, hyperspectral analysis, and mechanical fault diagnosis has been acknowledged in leading platforms, showcasing his ability to address both environmental and industrial challenges. Beyond publications, his patents for soil sampling and laser scanning devices demonstrate his commitment to translating research into practical technological solutions. His work not only contributes to scientific literature but also provides valuable methodologies for sustainable resource management and engineering applications.

Legacy and Future Contributions

Driven by a spirit of perseverance and innovation, Mr. Liu aspires to further his academic path through doctoral studies. His long-term vision is to refine computational methods for solving pressing environmental and engineering challenges. By integrating artificial intelligence with remote sensing and fault diagnosis systems, he seeks to contribute solutions with real-world impact. His dedication to teamwork, resilience under pressure, and scientific curiosity positions him as a researcher capable of leaving a lasting legacy in the interdisciplinary fields of environmental monitoring and intelligent engineering systems.

Publications

Article: Research on Abrasive Particle Target Detection and Feature Extraction for Marine Lubricating Oil
Authors: Chenzhao Bai, Jiaqi Ding, Hongpeng Zhang, Zhiwei Xu, Hanlin Liu, Wei Li, Guobin Li, Yi Wei, Jizhe Wang
Journal: Journal of Marine Science and Engineering
Year: 2024

Article: An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings
Authors: Xin Wang, Hanlin Liu, Wankang Zhai, Hongpeng Zhang, Shuyao Zhang
Journal: Engineering Applications of Artificial Intelligence
Year: 2024

Article: An adversarial single-domain generalization network for fault diagnosis of wind turbine gearboxes
Authors: Xinran Wang, Chenyong Wang, Hanlin Liu, Cunyou Zhang, Zhenqiang Fu, Lin Ding, Chenzhao Bai, Hongpeng Zhang, Yi Wei
Journal: Journal of Marine Science and Engineering
Year: 2023

Article: Driving force analysis of natural wetland in Northeast plain based on SSA-XGBoost model
Authors: Hanlin Liu, Nan Lin, Honghong Zhang, Yongji Liu, Chenzhao Bai, Duo Sun, Jiali Feng
Journal: Sensors
Year: 2023

Article: Extraction of mineralized indicator minerals using ensemble learning model optimized by SSA based on hyperspectral image
Authors: Nan Lin, Hanlin Liu, Genjun Li, Menghong Wu, Delin Li, Ranzhe Jiang, Xuesong Yang
Journal: Open Geosciences
Year: 2022

Conclusion

Mr. Hanlin Liu is an emerging researcher whose academic pursuits blend civil engineering, remote sensing, and machine learning. His contributions span from ecological studies of wetlands to industrial fault diagnostics and soil heavy metal analysis, underpinned by strong technical skills and innovative methodologies. Recognized with scholarships, competition awards, and impactful publications, he has already established himself as a promising scholar. His future vision is centered on advancing scientific understanding and delivering practical solutions through rigorous doctoral research. With his blend of academic excellence, technical expertise, and research dedication, Mr. Liu represents the new generation of scholars poised to make meaningful contributions to science and society.

Vishwanath Shervegar | Engineering | Best Researcher Award

Published on by Book of Award

Dr. Vishwanath Shervegar | Engineering | Best Researcher Award

Moodlakatte Institute of Technology Kundapura | India

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Vishwanath Shervegar began his academic journey with a strong foundation in Electronics and Communication Engineering, which was nurtured at the undergraduate level. His pursuit of advanced studies led him to complete a postgraduate program in Digital Electronics and Advanced Communication, where he honed his expertise in applied electronics. His doctoral research in Biomedical Signal Processing marked a significant milestone, reflecting his deep commitment to bridging the gap between electronics and healthcare applications. These formative years shaped his academic curiosity, laying the groundwork for a career dedicated to innovation in biomedical instrumentation and computational methods.

Professional Endeavors

His professional career has been marked by consistent growth within the field of Electronics and Communication Engineering. Beginning as a lecturer, Dr. Shervegar steadily advanced through academic ranks, gaining experience across reputed institutions. His journey includes long-term service as an Assistant and Associate Professor before taking on the role of Professor at the Moodlakatte Institute of Technology. Alongside his teaching responsibilities, he has contributed to curriculum development, placement coordination, and mentorship, creating a strong academic environment that supports both research and student success. His professional endeavors highlight a balance between educational leadership and research advancement.

Contributions and Research Focus

The central focus of Dr. Shervegar’s research lies in biomedical signal processing, where he has developed novel methods for the analysis, classification, and denoising of phonocardiogram signals. His work demonstrates an integration of artificial intelligence and machine learning techniques with healthcare diagnostics, making significant contributions to cardiac signal processing and intelligent biomedical instrumentation. He has authored impactful research publications in reputed journals and contributed to book chapters that expand the scope of medical science and engineering integration. His innovative approaches, such as adaptive filtering techniques and wavelet scattering transforms, have advanced the precision and reliability of heart sound analysis.

Accolades and Recognition

Dr. Shervegar has earned recognition for his scholarly contributions through publications in highly indexed international journals and books published by leading academic publishers. His doctoral and postgraduate theses remain available in digital repositories, reflecting the academic value of his research. He has also been entrusted with responsibilities as a reviewer for multiple prestigious international journals from Elsevier and Springer, and has served as a technical program committee member for IEEE international conferences. His membership with the Institution of Electrical and Electronics Engineers as a senior member and his life membership with the Indian Society for Technical Education further highlight his professional stature.

Impact and Influence

Beyond his research contributions, Dr. Shervegar has had a significant impact on academic and research communities. His participation in international conferences, workshops, and faculty development programs has provided platforms to share knowledge and exchange innovative ideas with peers across the globe. By organizing workshops on signal and image processing using Python and participating in collaborative programs with institutions like IIT Madras and Binghamton University, he has fostered a culture of interdisciplinary learning. His mentorship has influenced many young researchers and students, inspiring them to pursue careers in electronics, biomedical engineering, and computational technologies.

Legacy and Future Contributions

The legacy of Dr. Shervegar lies in his contributions to integrating technology with healthcare solutions, particularly in the domain of biomedical signal processing. His research on phonocardiography stands as a pioneering effort in redefining cardiac auscultation with the support of artificial intelligence. Looking ahead, his focus on developing advanced algorithms, intelligent healthcare systems, and machine learning-based biomedical instruments is expected to shape the future of diagnostic methodologies. With his continuing academic leadership and dedication to interdisciplinary research, his future contributions promise to influence both the scientific and medical communities on a broader scale.

Publications

Article: Heart Sound Classification Technique for Early CVD Detection using Improved Wavelet Time Scattering and Discriminant Analysis Classifiers
Author: Vishwanath Madhava Shervegar
Journal: Informatics and Health
Year: 2025

Article: Event Synchronous Segmentation of Phonocardiogram – A New Frontier to Heart Sound Delineation
Author: Vishwanath Madhava Shervegar
Journal: Medicine and Medical Research: New Perspectives
Year: 2024

Article/Book Chapter: Sliding Window Adaptive Filter for Denoising PCG Signals
Authors: Vishwanath Madhava Shervegar, Jagadish Nayak
Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Year: 2023

Book: 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment
Authors: Arun Kumar, Sumit Chakravarty, Mohit Kumar Sharma
Publisher: CRC Press
Year: 2023

Preprint Article: Continuous Wavelet Transform based Phonocardiogram Delineation Method
Contributor: Vishwanath Madhava Shervegar
Source: Europe PubMed Central (Preprint DOI: 10.21203/rs.3.rs-1416616/v1)
Year: 2022

Conclusion

In conclusion, Dr. Vishwanath Shervegar’s career exemplifies the meaningful integration of electronics, communication, and medical science, with his impactful research in biomedical signal processing and machine learning leaving a lasting influence on healthcare technology and continuing to drive innovation in the years to come.