Mert Gülüm | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mert Gülüm | Engineering | Best Researcher Award

Karadeniz Technical University | Turkey

Assoc. Prof. Dr. Mert Gülüm is a leading researcher in alternative fuels, combustion, and thermophysical properties of fluids, with a prolific scholarly record of 32 documents, 931 citations, and an h-index of 18. His research focuses on diesel engines, bio-derived and hybrid fuels, nanofluids, and advanced modeling techniques to optimize fuel performance, combustion, and emission characteristics. Key contributions include studies on hydrogen use in diesel engines, viscosity-temperature modeling of alternative fuel blends, thermophysical analysis of nanofluids, and transesterification optimization of waste cooking oil for biodiesel production. His work has been published in top SCIE and ESCI journals, reflecting rigorous experimental, computational, and numerical approaches. With 644 documents contributing to his citation impact, Dr. Gülüm has significantly advanced knowledge in sustainable energy, fluid dynamics, and thermal analysis, offering practical insights for improving engine efficiency and developing environmentally friendly fuel technologies. His research continues to influence propulsion, energy, and environmental engineering communities worldwide.

 

Citation Metrics (Scopus)

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931

h-index
18

i10-index
23

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Featured Publications

Mathematical Correlations for Variation in Heat Release Rate of a Diesel Engine Fuelled with n-Octanol Blends
– Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 2023

Adil Adam | Engineering | Editorial Board Member

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Dr. Adil Adam | Engineering | Editorial Board Member

Al-Zaytoonah International University | Syria

Dr. Adil Adam is an active researcher in electrical and power engineering with a strong publication record focused on medium-voltage drives, cascaded H-bridge motor drivers, power quality enhancement, and renewable energy systems. His scholarly output comprises 14 research documents, accumulating 78 citations across 36 citing publications, with an h-index of 6, reflecting consistent academic impact. His research contributions address advanced rectifier design, multilevel inverter topologies, pulse-width modulation techniques, and dynamic modeling of medium-voltage motor drive systems for grid integration and industrial applications. Several peer-reviewed journal articles published in internationally recognized outlets demonstrate methodological rigor and practical relevance to modern power systems. In addition, his conference publications extend his work to blackout prevention, controlled islanding, induction motor simulations, and solar dish–Stirling systems with tracking mechanisms. Collectively, his research advances efficient energy conversion, power quality improvement, and sustainable electrical engineering solutions, contributing to both theoretical development and real-world industrial and renewable energy applications.

Citation Metrics (Scopus)

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78

Documents
14

h-index
6

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Petro Pavlenko | Engineering | Research Excellence Award

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Prof. Dr. Petro Pavlenko | Engineering | Research Excellence Award

Zhejiang Ocean University | China

Prof. Dr. Petro Pavlenko is a distinguished researcher whose contributions span engineering design, CAD/CAM/CAE/PDM systems, digital manufacturing, and integrated information environments for industrial applications. With an h-index of 4, 27 documents, and 53 citations, his scholarship reflects both depth and sustained relevance across engineering and information technology domains. His research encompasses automation of design processes, digital 3D modeling, production data management, logical-dynamic models for information security, digital twins, robotics, energy lifecycle management, and industrial information system integration. He has produced more than 250 scientific publications, including 43 international journal papers, alongside 9 patents and multiple influential textbooks and monographs on mathematical modeling, information systems, and production automation. His leadership roles include chairing specialized academic councils, contributing to expert committees in informatics and cybernetics, directing research laboratories, and guiding PhD program development. Collaborations with universities and research centers across Ukraine, Kazakhstan, Germany, France, Latvia, and Russia have supported advancements in automated manufacturing, robot trajectory planning, and industrial data technologies. His recent works focus on additive manufacturing, microstructure–hardness modeling, digital energy systems, and intelligent information support, reinforcing his impact on modern engineering innovation and computational design methodologies.

 

 

Citation Metrics (Scopus)

60

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Citations
53

Documents
27

h-index
4



View Scopus Profile

 

Featured Publications

Haiwei Wu | Engineering | Best Researcher Award

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Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Fucan Huang | Engineering | Excellence in Research Award

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Dr. Fucan Huang | Engineering | Engineering | Excellence in Research Award

Shandong University of Science and Technology | China

Dr. Fucan Huang is an emerging researcher in mechanical fault diagnosis, known for advancing intelligent diagnostic methods through deep learning, multi-attention mechanisms, and cross-domain adaptability. His work focuses on improving fault detection accuracy in complex industrial environments, particularly under fluctuating conditions, imbalanced datasets, and multi-source domain challenges. He has contributed significantly to Measurement Science and Technology and Machines, co-authoring several influential papers. His research includes the development of an adaptive attenuation self-attention adversarial network for cross-domain diagnosis, a multi-source domain collaborative bearing fault method guided by multi-attention mechanisms, and innovative dual-domain vision transformer frameworks. These contributions enhance the robustness, generalizability, and interpretability of diagnostic models, strengthening intelligent maintenance systems and promoting safer, more efficient industrial operations.

Profile : Orcid

Featured Publications

An, Y., Zhang, D., Zhang, M., Xin, M., Wang, Z., Ding, D., Huang, F., & Wang, J. (2025). Residual attention-driven dual-domain vision transformer for mechanical fault diagnosis. Machines, 13(12), Article 1096.

Huang, F., Zhang, Q., Han, B., Wang, J., Zhang, Z., Ge, R., & Gong, H. (2025). Adaptive attenuation self-attention adversarial network for cross-domain fault diagnosis under imbalanced conditions. Measurement Science and Technology, 31 December 2025.

Ge, R., Zhang, Z., Wang, J., Wang, W., Fan, Z., & Huang, F. (2025). Multi-source domain bearing fault collaborative diagnosis method for unbalanced samples guided by multi-attention mechanism. Measurement Science and Technology, 30 November 2025.

Han, B., Huang, F., Qin, M., Qin, H., Wang, J., Zhang, Z., & Yu, Y. (2025). Dual-domain fused vision transformer for mechanical fault diagnosis under fluctuating working conditions. Measurement Science and Technology, 30 April 2025.

Zilin Zhong | Engineering | Excellence in Research Award

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Dr. Zilin Zhong | Engineering | Excellence in Research Award

Guangzhou Railway Polytechnic | China

Dr. Zilin Zhong is a dedicated researcher whose scholarly contributions span advanced structural dynamics, intelligent materials, and applied artificial intelligence. With 6 h-index, 132 citations, and 13 documents, the research portfolio demonstrates a growing international impact in civil and mechanical engineering domains. His work focuses on the dynamic stability of arch structures, parametric and resonance instability, piezoelectric intelligent structural control, and AI-based recognition techniques, complemented by studies in vocational education. Dr. Zhong has published influential papers in high-ranking journals such as Thin-Walled Structures, Engineering Structures, International Journal of Mechanical Sciences, Journal of Sound and Vibration, and Composite Structures. His investigations include sub-harmonic and simultaneous resonance of thin-walled arches, nonlinear instability of plates and arches under multi-frequency excitation, and stochastic stability of viscoelastic systems. He has also contributed to understanding vibration impacts from metro-induced excitation and dynamic internal forces of arches. Beyond publications, he has developed practical innovations through patents and software, including resonance-based loading devices, piezoelectric transducers for railway vibration energy harvesting, and a track parameter evaluation system. Collectively, his research advances theoretical modeling, experimental validation, and engineering applications in dynamic instability and intelligent structural systems.

Profiles : Scopus | Orcid

Featured Publications

Shen, F., Zhong, Z., Xu, X., Li, J., Dong, Q., & Deng, J. (2025). In-plane simultaneous resonance instability behaviors of a fixed arch under a two-frequency radial uniformly distributed excitation. International Journal of Non-Linear Mechanics, 25(7), Article 105056.

Deng, J., Liu, A., Zhong, Z., & Guangzhou University. (2025). Numerical analysis of dynamic stability of flutter panels in supersonic flow. International Journal of Structural Stability and Dynamics, 25(18).

Zhong, Z., Liu, A., Guo, Y., Xu, X., Deng, J., & Yang, J. (2023). Sub-harmonic and simultaneous resonance instability of a thin-walled arch under a vertical base excitation at two frequencies. Thin-Walled Structures, 191, Article 111094.

Zhong, Z., Liu, A., Fu, J., Pi, Y.-L., Deng, J., & Xie, Z. (2021). Analytical and experimental studies on out-of-plane dynamic parametric instability of a circular arch under a vertical harmonic base excitation. Journal of Sound and Vibration, 500, Article 116011.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Fu, J., & Gao, W. (2021). In-plane dynamic instability of a shallow circular arch under a vertical-periodic uniformly distributed load along the arch axis. International Journal of Mechanical Sciences, 189, Article 105973.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Lu, H., & Li, S. (2019). Analytical and experimental studies on dynamic instability of simply supported rectangular plates with arbitrary concentrated masses. Engineering Structures, 196, Article 109288.

Luigi Fortuna | Engineering | Excellence in Innovation Award

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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

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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

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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.

 

Leila Celin Nascimento | Engineering | Women Research Award

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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).