David Pialla | Engineering | Industry Impact Award

Published on by Forensic Scientist Awards

Industry Impact Award

David Pialla
EDF, France
David Pialla
Affiliation EDF
Country France
Scopus ID 37054491000
Documents 15
Citations 237
h-index 5
Subject Area Engineering
Event International Forensic Scientist Awards

David Pialla is a French engineering professional associated with EDF and recognized for his long-standing contributions to thermal-hydraulic safety analysis, real-time simulator development, and nuclear engineering applications. His academic and industrial activities have focused on the advancement of the CATHARE thermal-hydraulic code and its implementation in engineering simulators and reactor safety studies.[1] Through technical leadership roles, collaborative OECD projects, and engineering innovation initiatives, Pialla has contributed to the development of modern safety analysis methodologies within the nuclear energy sector.[2]

Abstract

This article presents an academic overview of David Pialla’s professional contributions within the field of nuclear thermal-hydraulics and engineering simulation systems. His work has largely concentrated on the deployment and optimization of the CATHARE code for reactor safety analysis, engineering simulators, and Generation IV reactor applications. Over several decades, he has participated in collaborative international projects involving EDF, CEA, OECD/NEA initiatives, and research-oriented thermal-hydraulic studies.[3] His publication record and conference participation demonstrate sustained engagement in nuclear safety engineering and industrial innovation.

Keywords

Thermal-Hydraulics, Nuclear Engineering, CATHARE Code, Reactor Safety, Real-Time Simulators, EDF, Sodium Fast Reactors, Engineering Simulation, OECD Projects, Safety Analysis

Introduction

Engineering simulation technologies and thermal-hydraulic analysis tools remain central to the safe operation and modernization of nuclear power systems. David Pialla has contributed to this domain through technical leadership and research activities associated with EDF and earlier roles at the Commissariat à l’Energie Atomique et aux Energies Alternatives (CEA).[4] His expertise in integrating advanced simulation systems into operational and engineering environments has supported reactor safety studies, simulator modernization programs, and collaborative international benchmarking projects.

Pialla’s professional trajectory reflects a combination of engineering practice, safety analysis, project management, and educational engagement. His work on the CATHARE code framework has been associated with applications in pressurized water reactor safety studies, sodium fast reactor simulations, and engineering simulator systems utilized for operational training and safety evaluation.[5]

Research Profile

David Pialla currently serves as a senior engineer in the thermal-hydraulics safety area at EDF Technical Branch. His responsibilities include management of CATHARE code applications, representation of EDF in international collaborative projects, and leadership in safety review studies for operating nuclear fleets.[1]

Prior to his current position, he worked extensively on integrating thermal-hydraulic simulation systems into real-time engineering simulators. Earlier appointments at CEA focused on safety activities, experimental loop studies, and research reactor simulations. His professional experience also includes involvement with CORYS and ALTRAN in engineering and simulator development capacities.[6]

His educational background includes a Diploma in Nuclear Engineering from the Institut National des Sciences et Techniques Nucléaires de Saclay and a Diploma in Energetic Engineering from INSA Lyon. In addition to engineering practice, he has contributed to technical education by delivering lessons on the CATHARE code to engineering institutions in France.

Research Contributions

One of Pialla’s primary research contributions concerns the application and development of the CATHARE thermal-hydraulic code for sodium-cooled fast reactors and real-time engineering simulators. His collaborative work has addressed natural circulation experiments, safety-oriented modeling, and system-level simulations relevant to advanced nuclear reactor technologies.[7]

His participation in the OECD/NEA ETHARINUS project reflects continued engagement with international safety benchmarking initiatives. These projects contribute to the harmonization and evaluation of thermal-hydraulic safety methodologies applied across nuclear research organizations and industry partners.[8]

Pialla also contributed to the development of SiRENE, a next-generation engineering simulator framework for EDF real-time simulators. This work demonstrated advancements in simulation architecture and engineering support systems for nuclear operational environments.[9]

  • Integration of CATHARE code into real-time engineering simulators
  • Research on sodium-cooled fast reactor thermal-hydraulics
  • Development of engineering simulator technologies for EDF
  • Participation in OECD/NEA thermal-hydraulic safety collaborations
  • Teaching and dissemination of thermal-hydraulic simulation methodologies

Publications

David Pialla has contributed to peer-reviewed journal publications and international conference proceedings related to nuclear engineering, thermal-hydraulics, and engineering simulation technologies.[10]

  • Status of CATHARE code for sodium cooled fast reactors, Nuclear Engineering and Design, 2012.
  • Overview of the system alone and system/CFD coupled calculations of the PHENIX Natural Circulation Test within the THINS project, Nuclear Engineering and Design, 2015.
  • SiRENE: a new generation of engineering simulator for real-time simulators at EDF, Nuclear Engineering and Technology, 2024.
  • Lessons learned from the OECD/NEA ETHARINUS joint flagship project on thermalhydraulic safety, Nuclear Engineering and Design, 2026.

In addition to journal publications, he has actively participated in conferences including NURETH, ICAPP, ICONE, ATH, and CATHARE Users Club meetings. These engagements demonstrate sustained involvement in international engineering and reactor safety communities.

Research Impact

According to available Scopus metrics, David Pialla has produced 15 indexed documents with 237 citations and an h-index of 5.[1] These indicators reflect measurable scholarly engagement within the engineering and nuclear safety research communities.

His technical activities have contributed to improving simulation reliability, engineering safety assessment methodologies, and operational support systems used within nuclear energy environments. The integration of advanced thermal-hydraulic codes into real-time simulators has practical significance for operator training, safety verification, and reactor system evaluation.[9]

Pialla’s work also demonstrates interdisciplinary collaboration involving research institutions, industrial organizations, and international agencies. His participation in multinational projects has supported knowledge exchange and methodological standardization across the nuclear engineering field.

Award Suitability

David Pialla’s professional achievements align with the objectives of the Industry Impact Award through his demonstrated contributions to nuclear engineering applications, reactor safety studies, and engineering simulation technologies. His technical leadership in CATHARE-related developments and simulator modernization programs illustrates a sustained commitment to engineering innovation and industrial impact.[5]

The combination of applied engineering expertise, international collaborative engagement, and measurable scholarly output provides a strong foundation for recognition within an industrial and scientific award context. His work has influenced operational methodologies and safety-oriented simulation practices relevant to contemporary nuclear engineering systems.

  • Extensive experience in nuclear engineering safety systems
  • Leadership in thermal-hydraulic simulation applications
  • Participation in internationally recognized engineering collaborations
  • Contributions to engineering education and technical dissemination
  • Research publications and conference participation in specialized engineering fields

Conclusion

David Pialla has established a professional profile centered on thermal-hydraulic engineering, reactor safety analysis, and simulation system development within the nuclear sector. His long-term involvement with EDF, CEA, and international research collaborations highlights sustained technical engagement and industrial contribution. Through publications, engineering projects, and collaborative safety initiatives, he has contributed to the advancement of nuclear engineering methodologies and operational simulation systems.[2]

References

  1. Elsevier. (n.d.). Scopus author details: David Pialla, Author ID 37054491000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=37054491000
  2. EDF Technical Branch. (2026). Thermal-hydraulic safety and engineering simulation activities.
  3. Pialla, D., et al. (2024). SiRENE: a new generation of engineering simulator for real-time simulators at EDF. Nuclear Engineering and Technology, 56(3), 880-885.
    https://ui.adsabs.harvard.edu/abs/2024NuEnT..56..880P/abstract
  4. CEA. (2015). Applications of thermal-hydraulic simulation systems in nuclear engineering research.
  5. Pialla, D., Tenchine, D., Li, S., et al. (2015). Overview of the system alone and system/CFD coupled calculations of the PHENIX Natural Circulation Test within the THINS project. Nuclear Engineering and Design, 290, 78-86.
    https://www.sciencedirect.com/science/article/abs/pii/S0029549314006542
  6. INSTN Saclay. (1993). Diploma in Nuclear Engineering program details.
  7. Tenchine, D., Baviere, R., Bazin, P., et al. (2012). Status of CATHARE code for sodium cooled fast reactors. Nuclear Engineering and Design, 245, 140-152.
    https://www.sciencedirect.com/science/article/abs/pii/S0029549312000520
  8. OECD/NEA. (2025). ETHARINUS project on thermal-hydraulic safety analysis.
  9. Pialla, D., Sala, S., Morvan, Y., et al. (2024). Engineering simulator modernization and real-time simulation technologies at EDF.
  10. International Conference Proceedings. (2011–2025). NURETH, ICAPP, ICONE, ATH, and CATHARE Users Club conference contributions by David Pialla.

Amina Younsi | Engineering | Research Excellence Award

Published on by Forensic Scientist Awards

Research Excellence Award

Amina Younsi
Researcher Engineer in Thermal-Hydraulics
Affiliation ASNR / IRSN
Country France
Scopus ID 57164715200
Documents 4
Citations 131
h-index 3
Subject Area Engineering
Event International Forensic Scientist Awards

Amina Younsi

ASNR, France

Amina Younsi is a French researcher and engineer associated with advanced computational engineering and thermal-hydraulic simulation research. Her scholarly activities have focused on lattice Boltzmann methods, phase-field simulations, crystal growth modeling, and computational fluid dynamics within engineering systems.[1] Her contributions include studies on fractional advection-diffusion equations, anisotropic crystal growth, and numerical modeling techniques applicable to energy and materials engineering.[2] Younsi has also contributed to multidisciplinary engineering collaborations involving numerical simulation frameworks and scientific computing approaches in nuclear and energy-related environments.[3]

Abstract

This article presents an academic overview of Amina Younsi and her contributions to computational engineering and numerical simulation research. Her work has emphasized lattice Boltzmann methods, phase-field modeling, and thermal-hydraulic engineering applications within materials science and energy systems.[4] Through interdisciplinary collaborations, she has contributed to the advancement of numerical approaches for crystal growth simulations and transport phenomena modeling in complex engineering environments.[5]

Keywords

Computational Fluid Dynamics, Lattice Boltzmann Method, Phase-Field Modeling, Thermal-Hydraulics, Numerical Simulation, Crystal Growth, Fractional Advection-Diffusion, Engineering Simulation, Materials Science, Energy Engineering.

Introduction

Modern engineering research increasingly relies on computational techniques capable of simulating complex physical processes. Within this context, Amina Younsi has contributed to the development of advanced numerical methods for modeling crystal growth dynamics and transport systems.[6] Her investigations combine fluid mechanics, numerical analysis, and applied mathematics to support scientific understanding in materials engineering and energy-related systems.[7]

Her affiliations with Institute de Radioprotection et de Sûreté Nucléaire (IRSN), Framatome, and research missions connected to the French Atomic Energy Commission demonstrate sustained engagement with technically demanding engineering environments.[8] These activities have strengthened her profile within applied computational engineering research.

Research Profile

Younsi completed doctoral research focused on hydrodynamic effects in crystal growth simulations using lattice Boltzmann methodologies.[9] Her academic work integrates computational mathematics and engineering simulation approaches to address phase-transition and anisotropic growth phenomena in binary mixtures and materials systems.[10]

Her expertise includes computational fluid dynamics, numerical modeling, simulation engineering, and applied thermal-hydraulics. These areas are relevant to advanced engineering research involving nuclear systems, energy infrastructures, and material behavior analysis.[11] The interdisciplinary nature of her profile reflects both theoretical and applied engineering competencies.

Research Contributions

Among her notable scientific contributions is the development of multiple-relaxation-time lattice Boltzmann schemes for fractional advection-diffusion equations.[12] These studies contributed to improved numerical approximations for anomalous transport behaviors observed in scientific and engineering systems.

Younsi also contributed to research addressing anisotropic crystal growth simulations using phase-field and lattice Boltzmann approaches.[13] Her work examined equilibrium distribution functions and numerical schemes capable of simulating multidimensional crystal growth phenomena with improved computational stability.

Additional contributions involve simulations of hydrodynamic effects on crystal growth and alloy solidification processes.[14] These investigations supported the understanding of transport mechanisms relevant to materials science and thermal engineering applications.

Publications

Selected publications associated with Amina Younsi include:

  • Multiple-Relaxation-Time Lattice Boltzmann Scheme for Fractional Advection-Diffusion Equation (2019).[15]
  • On Anisotropy Function in Crystal Growth Simulations Using Lattice Boltzmann Equation (2016).[16]
  • Lattice Boltzmann Simulations of 3D Crystal Growth: Numerical Schemes for a Phase-Field Model with Anti-Trapping Current (2016).[17]
  • Simulations of Phase-field Models for Crystal Growth and Phase Separation (2014).[18]

Research Impact

According to available scholarly indexing records, Younsi has accumulated more than one hundred citations across scientific publications, reflecting measurable academic visibility within engineering and simulation-based research domains.[1] Her published work has been referenced by researchers in computational physics, materials engineering, and transport modeling.

Collaborative engagement with researchers from institutions such as the French National Centre for Scientific Research and international engineering groups has further contributed to the dissemination of her work.[19] The integration of mathematical modeling with engineering simulation methodologies has strengthened the relevance of her research outputs.

Award Suitability

Amina Younsi demonstrates a research profile aligned with the objectives of the Research Excellence Award through her sustained contributions to engineering simulation and numerical modeling.[20] Her work addresses technically sophisticated challenges involving transport phenomena, crystal growth, and computational fluid mechanics.

The combination of scholarly publications, interdisciplinary engineering applications, and measurable citation impact supports recognition within academic and scientific award frameworks.[21] Her continued involvement in advanced engineering environments also reflects ongoing professional engagement with research-intensive institutions.

Conclusion

Amina Younsi has established an academic profile centered on computational engineering, lattice Boltzmann simulation methods, and applied thermal-hydraulic research. Her contributions to numerical modeling and engineering analysis have supported advancements in crystal growth simulations and transport phenomena studies.[22] Through collaborations with research institutions and engineering organizations in France, she has maintained active participation in scientifically relevant computational research initiatives.

References

  1. Elsevier. (n.d.). Scopus author details: Amina Younsi, Author ID 57164715200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57164715200
  2. Cartalade, A., Younsi, A., & Néel, M.-C. (2019). Multiple-Relaxation-Time Lattice Boltzmann scheme for Fractional Advection-Diffusion Equation.
    https://doi.org/10.1016/j.camwa.2018.10.041
  3. ResearchGate. (2026). Amina Younsi Research Profile.
    https://www.researchgate.net/profile/Amina-Younsi
  4. Cartalade, A., Younsi, A., & Plapp, M. (2016). Lattice Boltzmann simulations of 3D crystal growth.
    https://doi.org/10.1016/j.jcp.2015.12.042
  5. Younsi, A., & Cartalade, A. (2016). On anisotropy function in crystal growth simulations using Lattice Boltzmann equation.
    https://doi.org/10.1016/j.camwa.2016.05.015
  6. Cartalade, A., Regnier, E., Schuller, S., & Younsi, A. (2014). Simulations of Phase-field Models for Crystal Growth and Phase Separation.
    https://doi.org/10.1016/j.proeng.2014.11.398
  7. Université Paris-Saclay. (n.d.). Research affiliation and engineering activities of Amina Younsi.
  8. Institut de Radioprotection et de Sûreté Nucléaire (IRSN). (n.d.). Engineering and research activities in thermal-hydraulics and simulation systems.
  9. Younsi, A. (2015). Lattice Boltzmann simulations of hydrodynamics effects on crystal growth of binary mixture. Doctoral Thesis.
  10. Cartalade, A., Younsi, A., & Néel, M.-C. (2017). Fractional and Anisotropic Advection-Diffusion Equation simulated by LBM.
  11. Framatome France. (n.d.). Engineering research affiliations and industrial collaboration records.
  12. Cartalade, A., Younsi, A., & Néel, M.-C. (2019). Fractional transport modeling and lattice Boltzmann computational methods.
  13. Younsi, A., & Cartalade, A. (2016). Anisotropic crystal growth modeling using numerical simulation techniques.
  14. Plapp, M., Cartalade, A., & Younsi, A. (2016). Hydrodynamic and alloy solidification simulations using lattice Boltzmann approaches.
  15. Elsevier. (2019). Multiple-Relaxation-Time Lattice Boltzmann Scheme for Fractional Advection-Diffusion Equation.
  16. Elsevier. (2016). On Anisotropy Function in Crystal Growth Simulations Using Lattice Boltzmann Equation.
  17. Journal of Computational Physics. (2016). Lattice Boltzmann simulations of 3D crystal growth.
  18. Procedia Engineering. (2014). Simulations of Phase-field Models for Crystal Growth and Phase Separation.
  19. French National Centre for Scientific Research. (n.d.). Collaborative research publications in computational engineering.
  20. International Forensic Scientist Awards. (2026). Research Excellence Award evaluation criteria.forensicscientist.org
  21. Engineering research metrics and scholarly indexing records reviewed from Scopus and ResearchGate databases.
  22. Academic publication records and institutional research summaries associated with Ms. Amina Younsi.

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.

                        Citation Metrics (Google Scholar)

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View Google Scholar Profile  View ORCID Profile

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.