Ehsan Govahi | Engineering | Research Excellence Award

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Research Excellence Award

Ehsan Govahi
Affiliation K. N. Toosi University of Technology
Country Iran
Scopus ID 57224947757
Documents 3
Citations 80
h-index 3
Subject Area Engineering
Event International Forensic Scientist Awards
ORCID 0000-0003-3891-6068
Ehsan Govahi
K. N. Toosi University of Technology, Iran

Ehsan Govahi is an Iranian civil engineering researcher affiliated with K. N. Toosi University of Technology. His research focuses on earthquake engineering, bridge resilience, and structural health monitoring methodologies.[1]

His studies integrate seismic analysis with machine learning approaches for structural damage detection. Govahi has contributed to multiple peer-reviewed publications in infrastructure engineering and seismic vulnerability assessment.[2][3]

Abstract

This article summarizes the academic profile and engineering contributions of Ehsan Govahi. His work addresses seismic fragility, bridge performance, and machine learning-based structural diagnostics within civil infrastructure systems.[2]

Keywords

Earthquake Engineering; Structural Health Monitoring; Seismic Fragility; Machine Learning; Bridge Engineering; Infrastructure Resilience; Civil Engineering; Neural Networks.

Introduction

Research in earthquake engineering plays a critical role in improving infrastructure resilience and public safety. Ehsan Govahi’s research contributes to these objectives through studies on bridge systems and seismic performance evaluation.[3]

He earned his M.Sc. in Earthquake Engineering from K. N. Toosi University of Technology. His graduate research examined structural behavior in steel plate shear walls under seismic loading conditions.[6]

Research Profile

Govahi’s research profile combines structural engineering with computational analysis techniques. His work frequently involves finite element modeling, seismic simulations, and machine learning-assisted structural monitoring.[7]

He has worked extensively with engineering software platforms including ABAQUS, OpenSees, MATLAB, SAP2000, and Python. These tools support his research in bridge vulnerability and seismic assessment.[7]

Research Contributions

Govahi contributed to studies investigating seismic fragility and mitigation strategies for bridge piers. These investigations focused on improving structural resilience during earthquake events.[4]

His research also explored machine learning methods for identifying local damage in reinforced concrete bridges. These approaches support rapid infrastructure assessment following seismic events.[2]

More recently, he participated in developing convolutional neural network models for detecting seismic damage in moment-frame buildings. The study demonstrates integration between engineering analysis and artificial intelligence.[5]

Publications

  • Govahi, E., Salkhordeh, M., & Mohammadi, R. K. (2025). A strengthened convolutional neural network algorithm for identifying the extent of seismic damage in moment-frame buildings.[5]
  • Salkhordeh, M., Mirtaheri, M., Rabiee, N., Govahi, E., & Soroushian, S. (2023). A rapid machine learning-based damage detection technique for detecting local damages in reinforced concrete bridges. DOI: 10.1080/13632469.2023.2193277.[2]
  • Govahi, E., Salkhordeh, M., & Mirtaheri, M. (2022). Cyclic performance of different mitigation strategies proposed for segmental precast bridge piers. DOI: 10.1016/j.istruc.2021.12.020.[3]
  • Salkhordeh, M., Govahi, E., & Mirtaheri, M. (2021). Seismic fragility evaluation of various mitigation strategies proposed for bridge piers. DOI: 10.1016/j.istruc.2021.05.041.[4]

Research Impact

Govahi’s research publications have received approximately 80 citations within engineering and infrastructure studies. His work demonstrates measurable visibility in seismic engineering research.[1]

The integration of machine learning into structural assessment represents a notable aspect of his research impact. His studies contribute to modern infrastructure monitoring and damage evaluation techniques.[2]

Award Suitability

Ehsan Govahi demonstrates strong alignment with the objectives of the Research Excellence Award. His work combines seismic engineering research with computational intelligence applications for infrastructure analysis.[4]

His participation in post-earthquake inspection activities in Kermanshah Province also reflects practical engagement with structural safety and disaster response engineering.[8]

Conclusion

Ehsan Govahi has contributed to research in earthquake engineering, bridge resilience, and machine learning-assisted structural diagnostics. His scholarly activities support continued advancements in infrastructure safety and seismic assessment methodologies.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Ehsan Govahi, Author ID 57224947757.https://www.scopus.com/authid/detail.uri?authorId=57224947757
  2. Salkhordeh, M., et al. (2023). A rapid machine learning-based damage detection technique for detecting local damages in reinforced concrete bridges.https://doi.org/10.1080/13632469.2023.2193277
  3. Govahi, E., et al. (2022). Cyclic performance of different mitigation strategies proposed for segmental precast bridge piers.https://doi.org/10.1016/j.istruc.2021.12.020
  4. Salkhordeh, M., Govahi, E., & Mirtaheri, M. (2021). Seismic fragility evaluation of various mitigation strategies proposed for bridge piers.https://doi.org/10.1016/j.istruc.2021.05.041
  5. Govahi, E., Salkhordeh, M., & Mohammadi, R. K. (2025). A strengthened convolutional neural network algorithm for identifying the extent of seismic damage in moment-frame buildings.

Andrii Hovorukha | Engineering | Best Researcher Award

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Mr. Andrii Hovorukha | Engineering | Best Researcher Award

M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences | Ukraine

Mr. Andrii Hovorukha is a researcher specializing in the mechanics, dynamics, and tribology of railway and industrial transport systems. His work focuses on the mathematical modeling of dynamic interactions, wear, and operational safety of track structures, rolling stock, and heavily loaded mining equipment. He has authored 36 scientific publications with 15 citations and a Google Scholar h-index of 3, contributing to international journals and conference proceedings. His research includes the development of innovative friction modifier technologies, particularly the “Ideal” repair and restoration mixture, which forms wear-resistant nanostructured layers, significantly extending equipment service life. Mr. Andrii Hovorukha’s contributions advance the reliability, safety, and efficiency of industrial and railway transport systems, bridging theoretical modeling with practical industrial applications.

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Featured Publications


Improvement of the service life of mining and industrial equipment by using friction modifiers

– V.V. Hovorukha, A.V. Hovorukha · Scientific Bulletin of National Mining University, 2023 · Cited by 3


Исследование динамики приводов стрелочных переводов горного транспорта

– A.V. Hovorukha, S.L. Ladik · Геотехнічна механіка, 2015 · Cited by 3


Method for studying spatial vibrations of a vehicle during its movement along the rail track on separate supports with elastic-dissipative and inertial properties

– L.P. Semyditna, V.V. Hovorukha, A.V. Hovorukha, T.P. Sobko · Геотехнічна механіка, 2022 · Cited by 2


Research of deformed state of railway track joint zones in complex operating conditions of rail transport

– V.V. Hovorukha, A.V. Hovorukha, Y.O. Makarov, T.P. Sobko, L.P. Semyditna · Геотехнічна механіка, 2023 · Cited by 1

Abdelkader Slimane | Engineering | Editorial Board Member

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Assoc. Prof. Dr. Abdelkader Slimane | Engineering | Editorial Board Member

University of Science and Technology of Oran Mohamed Boudiaf | Algeria

Dr. Abdelkader Slimane is a highly accomplished mechanical engineering researcher whose work has made significant contributions to structural integrity, fracture mechanics, advanced manufacturing, and aerospace-related mechanical systems. His research expertise encompasses ductile damage modeling, fatigue crack growth prediction, welded structure assessment, rotary ultrasonic machining, vibration behavior, and the mechanical reliability of composite and metallic materials. With 20 scholarly publications, his work appears in leading international journals such as Journal of Materials Research and Technology, Mechanics of Advanced Materials and Structures, International Journal of Advanced Manufacturing Technology, Periodica Polytechnica Mechanical Engineering, Fracture and Structural Integrity, and Interactive Design and Manufacturing (IJIDeM). These publications collectively highlight his impactful contributions to areas including satellite structural design, hypervelocity impact simulation, cracked pipeline modeling, active power filtering using neural networks, and the optimization of machining and welding parameters through innovative computational and experimental approaches. Dr. Slimane’s Google Scholar metrics 464 citations, an h-index of 13, and an i10-index of 16—demonstrate the strong visibility and influence of his work across the mechanical engineering community. His extensive conference participation has further broadened the dissemination of his research in domains such as fracture mechanics, material behavior, aeronautical engineering, and mechanical system optimization. In addition to his research achievements, he contributes meaningfully to the scientific community through editorial service in reputable journals and active peer-review roles for numerous international publications. Dr. Slimane’s multidisciplinary research profile reflects a sustained commitment to advancing structural reliability, material innovation, computational mechanics, and engineering solutions that support modern industrial and aerospace applications.

Profile: Google Scholar

Featured Publications

1. Slimane, A., Bouchouicha, B., Benguediab, M., & Slimane, S. A. (2015). Parametric study of the ductile damage by the Gurson–Tvergaard–Needleman model of structures in carbon steel A48-AP. Journal of Materials Research and Technology, 4(2), 217–223.

2. Slimane, S. A., Slimane, A., Guelailia, A., Boudjemai, A., Kebdani, S., Smahat, A., … (2022). Hypervelocity impact on honeycomb structure reinforced with bi-layer ceramic/aluminum facesheets used for spacecraft shielding. Mechanics of Advanced Materials and Structures, 29(25), 4487–4505.

3. Slimane, S., Kebdani, S., Boudjemai, A., & Slimane, A. (2018). Effect of position of tension-loaded inserts on honeycomb panels used for space applications. International Journal on Interactive Design and Manufacturing (IJIDeM), 12(2),

4. Slimane, A., Bouchouicha, B., Benguediab, M., & Slimane, S. A. (2015). Contribution to the study of fatigue and rupture of welded structures in carbon steel A48-AP: Experimental and numerical study. Transactions of the Indian Institute of Metals, 68(3), 465–477.

5. Slimane, A., Slimane, S., Kebdani, S., Chaib, M., Dahmane, S., Bouchouicha, B., … (2019). Parameters effects analysis of rotary ultrasonic machining on carbon fiber reinforced plastic (CFRP) composite using an interactive RSM method. International Journal on Interactive Design and Manufacturing (IJIDeM), 13(2),

Elżbieta Radziszewska-Zielina | Engineering | Best Researcher Award

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Prof. Dr. Elżbieta Radziszewska-Zielina | Engineering | Best Researcher Award

Cracow University of Technology | Poland

Prof. Dr. Elżbieta Radziszewska-Zielina is a distinguished researcher from Politechnika Krakowska, Krakow, Poland, widely recognized for her pioneering work in civil engineering, sustainable construction management, and intelligent systems for project engineering. Her research bridges technical innovation, computational modeling, and sustainability principles to enhance efficiency, environmental responsibility, and resilience in the built environment. She has published 59 scientific papers indexed in Scopus, which have collectively received 838 citations, yielding a Scopus h-index of 20, reflecting her strong academic influence and international recognition. Her studies focus on modern construction materials, energy-efficient building technologies, blue-green infrastructure, and systemic approaches to reducing greenhouse gas emissions in urban construction. Her innovative use of computational techniques—including type-1 and type-2 fuzzy logic, stochastic networks, multi-criteria decision analysis, and optimization algorithms—has advanced the understanding and practical application of complex construction processes. Prof. Dr. Elżbieta Radziszewska-Zielina’s notable research outputs include the development of decision-support systems for construction planning, models for adaptive reuse of historic buildings, and optimization frameworks for nearly zero-energy buildings. She has contributed to key international research and educational projects funded by the National Science Centre (NCN), National Centre for Research and Development (NCBR), Horizon 2020, and other European programs. Her editorial leadership includes guest editing special issues in Sustainability, Polymers, and Open Engineering, and serving on the boards of Archives of Civil Engineering and Selected Scientific Papers – Journal of Civil Engineering.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

  • Kania, E., Radziszewska-Zielina, E., & Śladowski, G. (2020). Communication and information flow in Polish construction projects. Sustainability, 12(21), 9182. https://doi.org/10.3390/su12219182

  • Radziszewska-Zielina, E., & Śladowski, G. (2017). Supporting the selection of a variant of the adaptation of a historical building with the use of fuzzy modelling and structural analysis. Journal of Cultural Heritage, 26, 53–63. https://doi.org/10.1016/j.culher.2017.02.007

  • Radziszewska-Zielina, E., Śladowski, G., & Sibielak, M. (2017). Planning the reconstruction of a historical building by using a fuzzy stochastic network. Automation in Construction, 84, 242–257. https://doi.org/10.1016/j.autcon.2017.09.005

  • Radziszewska‐Zielina, E. (2010). Methods for selecting the best partner construction enterprise in terms of partnering relations. Journal of Civil Engineering and Management, 16(4), 510–520. https://doi.org/10.3846/jcem.2010.57

  • Korytárová, J., Hanák, T., Kozik, R., & Radziszewska–Zielina, E. (2015). Exploring the contractors’ qualification process in public works contracts. Procedia Engineering, 123, 276–283. https://doi.org/10.1016/j.proeng.2015.10.084

Danladi Abdu | Engineering | Best Researcher Award

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Mr. Danladi Abdu | Engineering | Best Researcher Award

Federal University of Transportation | Nigeria

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

Profile: ORCID

Featured Publications

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

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

Sarat Mohapatra | Engineering | Innovative Research Award

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Dr. Sarat Mohapatra | Engineering | Innovative Research Award

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

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

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

Featured Publications

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

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

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

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

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

Nadiia Kopiika | Engineering | Best Paper Award

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Dr. Nadiia Kopiika | Engineering | Best Paper Award

University College London | United Kingdom

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

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

Featured Publications

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

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

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

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

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

Mohamed Noufal | Chemical Engineering | Best Researcher Award

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Prof. Mohamed Noufal | Chemical Engineering | Best Researcher Award

Hampton University | United States

Prof. Mohamed Noufal, Ph.D., is a distinguished chemical engineer and academic leader, serving as Chair of the Department of Chemical Engineering and Director of the Quantum Materials Laboratory at Hampton University, Virginia, USA. He earned his Ph.D. in Environmental Sciences and Engineering from The University of Texas at El Paso (2022), an M.Sc. in Chemistry from Ain Shams University, Egypt (2016), and a B.Sc. in Chemistry from Mansoura University, Egypt (2012). With over eight years of experience in research, teaching, and program development, Prof. Mohamed Noufal has established an internationally recognized portfolio in advanced electrocatalysis, semiconductor interfaces, 2D materials, green hydrogen technologies, and AI-assisted materials discovery. His professional journey includes faculty associate roles at Purdue Fort Wayne’s First Molecule Center, visiting professorships at the University of Pennsylvania and University of Virginia, and leadership of interdisciplinary initiatives in fullerenes and van der Waals heterostructures. He has secured competitive funding from NSF, NASA, DOE, and other agencies, and has mentored numerous graduate and undergraduate researchers advancing in academic and professional roles. Prof. Mohamed Noufal’s recent publications include “Raman fingerprints of spin-phonon coupling and magnetic transition in an organic molecule intercalated Cr₂Ge₂Te₆”, “Unraveling the Cooperative Activity of Hydrophilicity, Conductivity, and Interfacial Active Sites in Alginate‐CNT‐CuO Self‐Standing Electrodes”, and “Cylindrical C96 Fullertubes: A Highly Active Metal‐Free O₂‐Reduction Electrocatalyst”, collectively cited 19 times across 7 Scopus-indexed documents with an h-index of 3. Recognized for his innovation in nanomaterials synthesis, biosensor development, and sustainable energy technologies, Prof. Mohamed Noufal has significantly advanced research, education, and interdisciplinary collaboration in chemical engineering.

Profile: Scopus | Staff Page

Featured Publications

Samanta, S., Iturriaga, H., Mai, T. T., Biacchi, A. J., Islam, R., Hight Walker, A. R., & Noufal, M. (2023). Raman fingerprints of spin-phonon coupling and magnetic transition in an organic molecule intercalated Cr₂Ge₂Te₆. arXiv preprint arXiv:2312.01270.

Noufal, M., et al. (2023). Unraveling the cooperative activity of hydrophilicity, conductivity, and interfacial active sites in alginate‐CNT‐CuO self‐standing electrodes with benchmark-close activity for alkaline water splitting. Advanced Sustainable Systems, 7(12), 2300283.

Bhunia, S., Peña-Duarte, A., Li, H., Li, H., Noufal, M., Saha, P., Addicoat, M. A., Sasaki, K., Strom, T. A., Yacamán, M. J., & Cabrera, C. R. (2023). [2,1,3]-Benzothiadiazole-spaced Co-porphyrin-based covalent organic frameworks for O₂ reduction. ACS Nano, 17(4), 3492–3505.

Noufal, M., et al. (2022). Cylindrical C₉₆ fullertubes: A highly active metal‐free O₂‐reduction electrocatalyst. Angewandte Chemie International Edition, 61(21), e202116727.

Puente Santiago, A. R., Noufal, M., Moreno-Vicente, A., Ahsan, M. A., Cerón, M. R., Yao, Y.-R., Sreenivasan, S. T., Rodriguez-Fortea, A., Poblet, J. M., & Echegoyen, L. (2021). A new class of molecular electrocatalysts for hydrogen evolution: Catalytic activity of M₃N@C₂ₙ (2n = 68, 78, and 80) fullerenes. Journal of the American Chemical Society, 143(16), 6037–6042.

Noufal, M., et al. (2021). Co–Cu bimetallic metal-organic framework catalyst outperforms the Pt/C benchmark for oxygen reduction. Journal of the American Chemical Society, 143(10), 4064–4073.

Noufal, M., et al. (2022). Metal-organic framework in fuel cell technology: Fundamentals and application. In Electrochemical applications of metal-organic frameworks (pp. 135–189). Elsevier.

Weimin Huang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Weimin Huang | Engineering | Best Researcher Award

Shandong University of Science and Technology | China

Dr. Weimin Huang, Academic Associate Professor at the College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, is a leading expert in mechanical manufacturing and automation, with a focus on high-speed cutting technology, friction and fatigue wear mechanisms, and advanced agricultural machinery design. He earned his Ph.D. in Mechanical Manufacturing and Automation from Shandong University, establishing a strong foundation for his research and academic contributions. Dr. Weimin Huang has successfully led over 10 major research projects, including funding from the National Natural Science Foundation of China, and the Natural Science Foundation of Shandong Province, and has directed more than 20 industry-sponsored consultancy projects, effectively translating scientific insights into practical engineering solutions. His pioneering work on surface texture preparation via ball-end milling has significantly enhanced wear resistance and tribological performance of mechanical components, while his studies on sliding fatigue wear mechanisms have improved the durability and efficiency of industrial and agricultural equipment. He has published 37 Scopus-indexed journal articles, with 311 citations and an H-index of 11. Through his sustained research, innovation, and applied engineering contributions, Dr. Weimin Huang has established himself as a prominent scholar and a driving force in advancing mechanical manufacturing technologies.

Profile: Scopus

Featured Publications

1. Wang, G., Li, H., Wang, Z., & Jiang, D. (2025, May). Research on surface integrity and corrosion performance in high-speed ball-end milling of NiTi shape memory alloys.

2. Yang, J., Gong, C., Li, A., & Wang, P. (2025, March). Research on NiTi shape memory alloy electrolyte based on optimization of corrosion performance.

3. Huang, W., Huang, Y., Li, A., & Wang, G. (2024, November). Generation mechanism and anti-friction effect evaluation of continuous micro-groove texture machined by ball-end milling process.

4. Gao, L., Zhou, X., Huang, W., & Xia, H. (2024, February). Generation method and antifriction performance evaluation of discrete micro-pit surface texture based on high speed ball-end milling process.

5. Wang, G., Gong, C., Yang, J., & Wang, P. (2024, February). Electrochemical reaction mechanism of milled surface of NiTi shape memory alloy.

6. Gao, L., Wang, J., Huo, H., & Wang, Z. (2024, February). Residual height of surface topography in milling nickel-titanium shape memory alloy using a small-diameter cutter.

Tian Zhang | Engineering | Best Researcher Award

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Dr. Tian Zhang | Engineering | Best Researcher Award

Xi’an University of Architecture and Technology | China

Dr. Zhang Tian, a Master’s student in Structural Engineering at Xi’an University of Architecture and Technology, has built an impressive academic and research profile distinguished by consistent excellence, leadership, and early scholarly impact. He completed his undergraduate studies at Huanghuai University, where he was recognized as a “Three Good Student” for four consecutive years, awarded multiple academic scholarships, and graduated as an Outstanding Graduate. His achievements also include winning the third prize in the Challenge Cup of the School of Civil Engineering and being honored as an Outstanding Communist Youth League Member, distinctions that reflect his ability to combine academic rigor with innovation and service. At the graduate level, he has continued to excel, receiving an academic scholarship in 2022–2023 while advancing research in seismic-resistant structures, sustainable construction materials, and structural design optimization, areas vital to the development of safe and environmentally responsible infrastructure. Despite being in the early stage of his research career, Dr. Zhang Tian has already made notable scholarly contributions, with 6 publications indexed in Scopus, accumulating 69 citations from 68 documents, and achieving an h-index of 5. These metrics demonstrate that his work is not only visible but also valued within the global academic community. Combining strong academic performance, proven research productivity, and a clear vision for advancing structural engineering, Dr. Zhang Tian exemplifies the qualities of an emerging scholar whose contributions are poised to strengthen the safety, resilience, and sustainability of modern construction.

Profile: Scopus

Featured Publications

Xu, Y., Xu, Z.-D., Hu, H., Guo, Y.-Q., Huang, X.-H., Zhang, Z.-W., Zhang, T., & Xu, C. (2025). Experiment, simulation, and theoretical investigation of a new type of interlayer connections enhanced viscoelastic damper. International Journal of Structural Stability and Dynamics, 25(5), Article 2550045.