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

Published on by Forensic Scientist Awards

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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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

Sinan Eğri | Engineering | Research Excellence Award

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Prof. Dr. Sinan Eğri | Engineering | Research Excellence Award

Tokat Gaziosmanpaşa University | Turkey

Prof. Dr. Sinan Eğri is a distinguished researcher in polymer science, biomaterials engineering, and sustainable biobased polymer technologies, recognized for his impactful contributions to advanced material design for biomedical and industrial applications. His research integrates polymer synthesis, reactive extrusion, biodegradable scaffold engineering, nanocomposite development, and green nanotechnology, with a particular emphasis on creating innovative materials that address critical challenges in tissue engineering and regenerative medicine. His scientific portfolio includes the development of PLA-PEG-PLA systems, electrospun vascular scaffolds, cryogel-based biomaterials, biobased polymer nanocomposites, and environmentally friendly nanoparticle systems, all of which demonstrate his multidisciplinary approach to material innovation. Prof. Dr. Sinan Eğri has produced a strong body of work with 17 Scopus-indexed documents, cited by 355 publications, accumulating 363 Scopus citations and an h-index of 8, underscoring his research influence in polymer chemistry and biomaterials research. His widely cited studies on maleic anhydride grafting, VEGF/BMP-2 releasing scaffolds, nanomechanical characterization of biodegradable materials, and phage-encapsulated biomaterials have advanced understanding in both fundamental polymer science and applied biomedical engineering. He has successfully completed 21 research projects, spanning supercritical CO₂ polymerization, biopolymer processing, bone tissue engineering materials, green nanoparticle biosynthesis, and biodegradable composite design, along with multiple consultancy-based R&D collaborations. In addition to his publications, Prof. Dr. Sinan Eğri contributes to the scientific community through editorial service, peer-reviewing, and international research collaborations, continuously driving innovations that support progress in polymer engineering, sustainable materials, and medical biomaterials.

Profiles: Scopus | Google Scholar | ORCID | ResearchGate

Featured Publications

1. Taşdelen, T. B., Eğri, Ö., & Eğri, S. (2025). Enhancing the electrical conductivity of electrospun PCL fibers by coating with polydopamine and in situ gold nanoparticles doped on the polydopamine coating. Polymers, 17(23), 3192.

2. Eğri, Ö., Güneş, F., & Eğri, S. (2025). Production and characterization of H. perforatum oil-loaded, semi-resorbable, tri-layered hernia mesh. Polymers, 17(2), 240.

3. Demirci, S., Oncer, N., Mazlumoglu, H., Yilmaz, A., Egri, S., Egri, O., & Yilmaz, M. (2024). Polydopamine-mediated gold nanostructure-decorated electrospun polycaprolactone fibers for photocatalytic dye degradation. ChemistrySelect, 9, Article e202304494.

4. Yerliyurt, K., & Eğri, S. (2023). Effect of knitting pattern of PP mesh on the flexural properties of heat-cured PMMA denture base resin. Cumhuriyet Science Journal, 44(3), Article 1184249.

5. Yerliyurt, K., Taşdelen, T. B., Eğri, Ö., & Eğri, S. (2023). Flexural properties of heat-polymerized PMMA denture base resins reinforced with fibers with different characteristics. Polymers, 15(15), 3211.

Kirubakaran Annamalai | Engineering | Research Excellence Award

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Dr. Kirubakaran Annamalai | Engineering | Research Excellence Award

National Institute of Technology Warangal | India

Dr. Kirubakaran Annamalai, Associate Professor at the Department of Electrical Engineering, National Institute of Technology, Warangal, is a distinguished researcher in Power Electronics, Renewable Energy Systems, and Distributed Generation, with a primary focus on the design, analysis, and implementation of multilevel inverters, DC-DC and DC-AC converters, grid-tied photovoltaic systems, and power quality improvement techniques. He has made significant contributions to quasi-Z-source and switched-capacitor-based inverter topologies, emphasizing high efficiency, reduced device counts, leakage current minimization, and real-time control using DSP, FPGA, and dSPACE platforms. Dr. Kirubakaran Annamalai has published 70 peer-reviewed articles, accumulating 1,563 citations with an h-index of 14 (Scopus), in top international journals such as IEEE Transactions on Power Electronics, IEEE Journal of Emerging and Selected Topics in Power Electronics, and Springer’s Journal of Electrical Engineering, and has presented extensively at IEEE and global conferences. He has authored multiple book chapters on advanced power electronics for solar PV and hybrid renewable systems, demonstrating his expertise in sustainable energy technologies. He has successfully led and collaborated on research projects funded by SERB, DST-FIST, SPARC, and SIRE, with budgets ranging from Rs. 2.8 Lakhs to over Rs. 94 Lakhs, focusing on innovative converter designs, smart grid laboratories, and electric vehicle applications, and holds patents on transformer less multilevel inverters. Dr. Kirubakaran Annamalai has supervised numerous Ph.D. and M.Tech scholars, advancing frontier research in power electronics. Recognized for his research excellence through the SIRE Fellowship 2023, multiple IEEE Best Paper Awards, editorial contributions, conference chairing, and active membership in IEEE, ISTE, and other professional bodies, he continues to drive innovation in inverter topologies, grid integration strategies, and renewable energy systems, making a lasting impact on modern power conversion technologies.

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

Featured Publications

  • Palakurthi, R., & Kirubakaran, A. (2025). DSP controlled single-phase two-stage five-level inverter for high-efficiency grid-connected photovoltaic systems. Electrical Engineering, 108(1).

  • Palakurthi, R., & Kirubakaran, A. (2025). Rapid prototyping of FPGA controlled common ground single-phase transformerless five-level inverter using Xilinx System Generator. IEEE Latin America Transactions, 23(7), 609–618.

  • Kalyan Singh, K., & Kirubakaran, A. (2025). Single-phase five-level common ground transformerless switched capacitor inverters for PV applications with double gain. In 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T).

  • Barzegarkhoo, R., Kirubakaran, A., Pereira, T., Liserre, M., & Siwakoti, Y. P. (2024). Improved T-type and ANPC multilevel converters by means of GaN-based T-cell branch and bidirectional device. In IECON 2024 – 50th Annual Conference of the IEEE Industrial Electronics Society.

  • Kirubakaran, A., Barzegarkhoo, R., & Liserre, M. (2024). A new single-phase dual-mode active neutral point-clamped five-level inverter for renewable applications. In 2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T).

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),

Surakasi Raviteja | Engineering | Excellence in Research Award

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Assist. Prof. Dr. Surakasi Raviteja | Engineering | Excellence in Research Award

Lendi Institute of Engineering and Technology | India

Dr. Surakasi Ravi Teja is a dedicated researcher whose work spans thermal engineering, nanofluids, biofuels, heat transfer augmentation, sustainable energy systems, and advanced materials science. His research expertise includes the experimental evaluation of thermophysical properties, development of nanomaterial-enhanced solar thermal fluids, ANN-based predictive modeling, biodiesel and pyrolysis-fuel combustion analysis, and CFD-driven optimization of thermal devices. With 77 Scopus-indexed publications, 960 citations, and an h-index of 17, he has established a strong scientific presence, contributing extensively to high-impact Scopus-, SCI-, and SCIE-indexed journals such as Frontiers in Heat and Mass Transfer, Journal of Nanomaterials, Materials Today: Proceedings, International Journal of Chemical Engineering, and Adsorption Science & Technology. His Q1–Q2 publications reflect significant advancements in areas including nanofluid stability, enhanced heat transfer, eco-friendly fuel blends with  , and nano-reinforced composite materials. His interdisciplinary works extend to solar water heating systems, cryogenic vessel design, adsorption-based separation technologies, and nanoparticle-assisted wastewater treatment. Several of his highly cited studies focus on waste-to-energy conversion, algae-oil biodiesel applications, and green-synthesized nanoparticles for environmental remediation, highlighting his contribution to sustainable and cleaner energy technologies. In addition to his research output, Dr. Teja serves as a reviewer for numerous national and international journals and holds editorial memberships, contributing to global scholarly communication and knowledge dissemination. His consistent research engagement, innovation-driven approach, and interdisciplinary collaborations underscore his impactful role in advancing thermal sciences, materials engineering, and renewable energy research.

Profiles: Scopus | Google Scholar | ORCID | Staff Profile

Featured Publications

  1. Sathish, T., Vijayalakshmi, A., Surakasi, R., Ahalya, N., Rajkumar, M., … (2024). DeepNNet 15 for the prediction of biological waste to energy conversion and nutrient level detection in treated sewage water. Process Safety and Environmental Protection, 189, 636–647.

  2. Senthil, T. S., Puviyarasan, M., Babu, S. R., Surakasi, R., & Sampath, B. (2023). Industrial robot-integrated fused deposition modelling for the 3D printing process. In Development, Properties, and Industrial Applications of 3D Printed Polymer Materials

  3. Lakshmaiya, N., Surakasi, R., Nadh, V. S., Srinivas, C., Kaliappan, S., … (2023). Tanning wastewater sterilization in the dark and sunlight using Psidium guajava leaf-derived copper oxide nanoparticles and their characteristics. ACS Omega, 8(42), 39680–39689.

  4. Nirmal Kumar, K., Dinesh Babu, P., Surakasi, R., Kumar, P. M., & Ashokkumar, P. (2022). Mechanical and thermal properties of bamboo fiber–reinforced PLA polymer composites: A critical study. International Journal of Polymer Science, 2022(1), 1332157.

  5. Vennila, T., Karuna, M. S., Srivastava, B. K., Venugopal, J., & Surakasi, R. (2023). New strategies in treatment and enzymatic processes: Ethanol production from sugarcane bagasse. In Human Agro-Energy Optimization for Business and Industry (pp. 219–240).

Volodymyr Hovorukha | Engineering | Best Researcher Award

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Mr. Volodymyr Hovorukha | Engineering | Best Researcher Award

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

Mr. Volodymyr Hovorukha is a prominent Ukrainian scientist whose pioneering contributions have shaped the fields of railway engineering, transport mechanics, and structural dynamics. As a Senior Researcher at the M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences of Ukraine, he has made outstanding advancements in understanding the interaction between rail tracks and moving transport systems, the mechanics of deformation, and the reliability of rail infrastructure. His scientific achievements encompass the development of over ten mathematical models addressing dynamic rail–vehicle interaction, wear processes, and derailment safety, particularly under the influence of friction modifiers. He has authored more than 240 scientific papers, including publications indexed in international databases such as Scopus, and four monographs registered with ISBN. Mr. Volodymyr Hovorukha holds 32 patents, three of which have been officially recognized as international discoveries in railway transport. His innovative research has led to the creation of modernized track structures, high-speed rail fastening systems, and reinforced concrete components for both surface and underground transport systems. Under his scientific leadership, over 200 projects have been successfully developed and implemented, significantly contributing to the modernization of Ukraine’s rail infrastructure. His findings on the deformation mechanics of track elements and materials have become the foundation for optimizing the durability and safety of rail systems. An active member of ASME International and the International Academy of Scientific Discoveries and Inventions, Mr. Volodymyr Hovorukha’s research continues to influence railway engineering innovation and infrastructure development globally.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Hovorukha, V., Hovorukha, A., Sobko, T., & Semyditna, L. (2025). Reliability improvement of track infrastructure in open-pit rail transport. Geo-Technical Mechanics, (173), 38–48. https://doi.org/10.15407/geotm2025.173.038

  2. Hovorukha, V. V., & Hovorukha, A. V. (2023). Improvement of the service life of mining and industrial equipment by using friction modifiers. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 74–82. https://doi.org/10.33271/nvngu/2023-4/074

  3. Hovorukha, V., Hovorukha, A., & Makarov, Y. (2022). Research on the dynamic processes of vehicles and an arbitrary configuration rail track, influencing the side wear of the rail head and wheel flange contact surfaces at different values of friction coefficient between them. IOP Conference Series: Earth and Environmental Science, 970(1), 012029. https://doi.org/10.1088/1755-1315/970/1/012029

  4. Hovorukha, V., Hovorukha, A., Sobko, T., & Semyditna, L. (2022). Method for studying spatial vibrations of a vehicle during its movement along the rail track on separate supports with elastic-dissipative and inertial properties. Geo-Technical Mechanics, (167), 52–60.

  5. Hovorukha, V., Hovorukha, A., Makarov, Y., Sobko, T., & Semyditna, L. (2023, November 14–16). Investigation of residual deformations in joint zones of track sections under curved track operation conditions. In Proceedings of the XXI International Conference of Young Scientists: Geotechnical Problems of Mineral Deposit Development (pp. 145–150). Dnipro, Ukraine.

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