Philippe KARAMIAN-SURVILLE | Composites and Homogenization | Best Researcher Award

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Assoc. Prof. Dr Philippe KARAMIAN-SURVILLE | Composites and Homogenization | Best Researcher Award

Associate Professor at Unviversity of CAEN Normandy, France

Philippe Karamian is a Senior Associate Professor at the University of Caen Normandy, France, specializing in Mathematics and Mechanics. With a PhD in Mathematics and Applications (1999) and an Accreditation to Supervise Research (2014), he has made significant contributions to mechanical modeling, numerical simulation, and composite materials. He heads the Mechatronics and Embedded Systems Department at ESIX and is an active researcher at the Nicolas Oresme Mathematics Laboratory. His work spans thin shell theory, homogenization, and high-performance computing, with applications in aerospace and renewable energy.

Professional Profile

Scopus

Education 🎓

  • PhD in Mathematics and Applications, University of Caen Normandy (1999)
  • Accreditation to Supervise Research, University of Caen Normandy (2014)
  • Diploma of Advanced Studies in Mechanics, Pierre and Marie Curie University (1995)
  • Diploma of Advanced Studies in Numerical Analysis, Paris-Sud XI University (1993)
  • Master’s in Mathematics, University of Caen Normandy (1992)
  • Bachelor’s in Mathematics, University of Caen Normandy (1991)

Experience 💼

  • Senior Associate Professor, University of Caen Normandy (2018–Present)
  • Associate Professor, University of Caen Normandy (2002–2018)
  • Head of Mechatronics and Embedded Systems, ESIX (2023–Present)
  • Postdoctoral Researcher, Neurofunctional Imaging Laboratory, Bordeaux (2001)
  • Temporary Teaching and Research Attaché, University of Caen Normandy (1999–2002)

Awards and Honors 🏆

  • Fellow of the Association of Friends of Science, Academy of Sciences (2000)
  • Project Leader, ACCEA (Improvement of Conductivities of Composites for Aerospace Equipment)
  • Elected Member, Nicolas Oresme Mathematics Laboratory Council (2013–Present)
  • Head of Master’s Programs, Mechanical Engineering and Mathematical Engineering (2008–2018)

Research Focus 🔍

Philippe Karamian’s research focuses on:

  • Mechanical Modeling: Thin shells, composites, and slender structures.
  • Numerical Simulation: Finite element methods, domain decomposition, and parallel computing.
  • Homogenization Techniques: Stochastic and deterministic methods for composite materials.
  • High-Performance Computing: OpenMP/MPI environments, C/C++/Fortran programming.
  • Applications: Aerospace, renewable energy, and eco-friendly composites.

Publication Top Notes 📚

  1. Reflection of singularities in inhibited hyperbolic shells.
  2. New numerical results concerning inhibited thin hyperbolic shells.
  3. A model problem for boundary layers of thin elastic shells.
  4. Numerical experiments on the propagation of singularities in thin parabolic shells.
  5. Boundary layers in thin elastic shells with developable middle surface.
  6. Propagation of singularities and structure of layers in shells: Hyperbolic case.
  7. Non-smoothness in the asymptotics of thin shells and propagation of singularities.
  8. Pseudo-reflection phenomena for singularities in thin elastic shells.
  9. Numerical evaluation of the effective elastic properties of 2D overlapping random fiber composites.
  10. An efficient stochastic and double-scale model to evaluate effective elastic properties.
  11. Domain decomposition methods to evaluate effective elastic properties of random fiber composites.
  12. Effects of fiber dispersion on the effective elastic properties of 2D overlapping random fiber composites.
  13. Influence of morphological parameters of a 2D random short fiber composite on its effective elastic properties.
  14. On efficient and reliable stochastic generation of RVEs for analysis of composites.
  15. An efficient and automated 3D FE approach to evaluate effective elastic properties.
  16. Measure of combined effects of morphological parameters of inclusions within composite materials.
  17. The refraction phenomenon of singularities in thin elastic shells with developable mid-surface.
  18. Computation of effective electrical conductivity of composite materials: A novel approach based on analysis of graphs.

Conclusion 🌟

Philippe Karamian is a distinguished academic and researcher with over two decades of expertise in mechanical modeling, numerical simulation, and composite materials. His work bridges theoretical advancements and practical applications, particularly in aerospace and renewable energy. With a strong focus on innovation and sustainability, he continues to lead groundbreaking research and mentor the next generation of engineers and scientists.

 

Lenganji Simwanda | Composite Structures | Young Scientist Award

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Dr Lenganji Simwanda | Composite Structures | Young Scientist Award

Postdoc, Czech Technical University in Prague, Czech Republic

Dr. Lenganji Simwanda is a dedicated researcher and academic in Civil Engineering, specializing in ultra-high-performance fibre-reinforced concrete (UHPFRC), structural reliability, and sustainable construction practices. With a Ph.D. from Stellenbosch University and extensive postdoctoral research experience, Dr. Simwanda integrates advanced machine learning and probabilistic methods to enhance structural performance and sustainability. He is an active member of the fib Commission 3 Task Group and has collaborated on cutting-edge projects, contributing to over 20 high-impact publications. His expertise spans advanced material modeling, lifecycle optimization, and the application of AI in structural engineering.

PROFESSIONAL PROFILE

Google Scholar

STRENGTHS FOR THE AWARD

  1. Extensive Academic Background: Dr. Lenganji Simwanda possesses a robust academic foundation with a Ph.D. in Civil Engineering specializing in structural reliability, alongside M.Eng and B.Eng degrees, all achieved with exceptional distinction.
  2. Research Expertise: His research spans advanced topics, including the structural reliability of ultra-high-performance fiber-reinforced concrete (UHPFRC), probabilistic modeling, and machine learning applications in structural engineering.
  3. Postdoctoral Research Fellowships: His postdoctoral engagements in esteemed institutions like Stellenbosch University, University of South Africa, and Czech Technical University highlight his ongoing contributions to the field, especially in sustainability-driven assessments of UHPC and Bayesian modeling.
  4. Publications and Citations: With over 20 peer-reviewed papers in renowned journals, his work has garnered citations, reflecting the high impact and relevance of his research.
  5. Teaching Experience: Dr. Simwanda has consistently demonstrated his commitment to academia through teaching roles at both undergraduate and postgraduate levels, showcasing his ability to mentor and inspire future engineers.
  6. Collaborative and Multidisciplinary Approach: His projects involve collaboration with international experts, particularly in integrating artificial intelligence, sustainability, and structural engineering, underscoring his versatility.
  7. Professional Contributions: As a member of the fib Commission 3 Task Group, his contributions to innovative concrete materials and existing concrete structures enhance his profile as a forward-thinking researcher.
  8. Recognition through Funded Research: His involvement in cutting-edge research projects, such as AI4FRACTURE and studies on CFDST columns, demonstrates his ability to secure and execute high-level projects.

AREAS FOR IMPROVEMENT

  1. Expanded Collaboration: While his collaborative efforts are notable, further diversification into interdisciplinary projects beyond civil engineering could enhance the scope of his contributions.
  2. Industry Partnerships: Increasing partnerships with industry stakeholders for practical applications of his research could enhance real-world impact.
  3. Outreach and Communication: Participation in more global conferences and public forums could help disseminate his findings to a broader audience.
  4. Patent Development: While his work has significant theoretical contributions, exploring patents for practical innovations could solidify his standing in the field.

EDUCATION

🎓 Ph.D. in Civil Engineering (2022) – Stellenbosch University, South Africa
Dissertation: Structural reliability of UHPFRC structures.

🎓 M.Eng in Structural Engineering (2020) – University of Zambia, Zambia
Dissertation: Finite element modeling of UHPFRC beams exposed to fire.

🎓 B.Eng in Civil & Environmental Engineering (With Distinction) (2018) – University of Zambia, Zambia
Final Year Dissertation: Cost-effective structural design in reinforced concrete using BS 8110:1997 and Eurocode 2 in Zambia.

EXPERIENCE

👩‍🔬 Postdoctoral Fellow, Czech Technical University (2024–2025)

  • Research: Probabilistic modeling and lifecycle optimization of UHPC structures.

👩‍🔬 Postdoctoral Fellow, University of South Africa (2023)

  • Research: Data-driven methods for CFST and CFDST columns.

👩‍🔬 Consolidoc Fellow, Stellenbosch University (2023)

  • Research: Structural reliability of UHPFRC structures.

👨‍🏫 Lecturer, University of Zambia (2023)

  • Courses: Advanced Design of RC Structures, Theory of Structures.

👨‍🏫 Teaching Assistant, Stellenbosch University (2020–2023)

  • Courses: Theory of Structures, Strength of Materials.

AWARDS AND HONORS

🏆 Best Researcher Award, Stellenbosch University (2022)
🏆 Excellence in Research Award, University of Zambia (2020)
🏆 Top Innovator Award, fib Commission 3 Task Group (2023)
🏆 Outstanding Tutor Award, University of Zambia (2018)

RESEARCH FOCUS

🔬 Structural reliability of UHPFRC structures.
🔬 Sustainability-driven design using advanced concrete materials.
🔬 Lifecycle optimization frameworks integrating AI and Bayesian methods.
🔬 Data-driven methods for composite and innovative structural systems.
🔬 Probabilistic modeling of climatic actions and material behavior.

PUBLICATION TOP NOTES

  1. 📘 Structural reliability of ultra-high-performance fibre-reinforced concrete beams in flexure.
  2. 📘 Structural reliability of UHPFRC beams in shear.
  3. 📘 Numerical modeling and parametric analysis of UHPFRC beams exposed to fire.
  4. 📘 Bayesian calibration and reliability analysis of UHPFRC beams.
  5. 📘 Structural reliability of RC beams strengthened with UHPFRC tensile layers.
  6. 📘 Prediction of torque capacity in CFDST members under pure torsion via ML.
  7. 📘 Numerical study of thermal efficiency in light-gauge steel panels.
  8. 📘 ML prediction of web-crippling strength in cold-formed steel beams.
  9. 📘 Shear behavior of cold-formed stainless steel lipped channel sections.
  10. 📘 Reliability analysis of shear design provisions for cold-formed steel sections.

CONCLUSION

Dr. Lenganji Simwanda’s profound expertise in structural reliability, advanced concrete materials, and machine learning-driven solutions positions him as a highly deserving candidate for the Best Researcher Award. His ability to bridge fundamental research with practical engineering challenges and his consistent contributions to academia make him a valuable asset to the global research community. Further emphasis on industry collaboration and practical applications could elevate his already outstanding career trajectory.