Marianna Notarnicola | Digital Twin | Research Excellence Award

Published on by Technology Scientists

Ms. Marianna Notarnicola | Digital Twin | Research Excellence Award

Lutech S.p.a. | Italy

Ms. Marianna Notarnicola is a researcher and industry professional specializing in data-driven digital twins, smart energy infrastructures, and AI-enabled urban systems, with a strong focus on practical deployment within telecommunications and energy sectors. Affiliated with Nokia Siemens Networks S.p.A., Italy, her work bridges advanced data analytics, retrieval-augmented generation (RAG), and smart city technologies to enhance the intelligence, resilience, and efficiency of energy infrastructure digital twins. She has authored 5 publications, which have received 45 citations and 3 h-index, reflecting a solid and growing impact within an interdisciplinary research community spanning smart cities, energy systems, and applied AI. Her collaborations with 23 international co-authors demonstrate strong engagement with cross-sector and multi-institutional research networks. A notable achievement includes her open-access 2024 publication on RAG-based digital twins, contributing to transparent, scalable, and data-centric urban energy management. Overall, her research supports sustainable infrastructure development, informed decision-making, and the societal transition toward smarter, greener cities.

Citation Metrics (Scopus)

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Featured Publications

Marcin Kwapisz | Simulations | Research Excellence Award

Published on by Technology Scientists

Dr. Marcin Kwapisz | Simulations | Research Excellence Award

Senior Researcher | Czestochowa University of Technology | Poland 

Dr. Marcin Kwapisz is a materials engineering and nondestructive evaluation (NDE) researcher at the Częstochowa University of Technology, specializing in the mechanical behavior of materials under complex loading and in the development of advanced diagnostic technologies for industrial applications. With a portfolio of 30 publications, 74 citations, and an h-index of 5, he has contributed to strengthening scientific understanding of alternate pressing, multiaxial compression, and magnetic-based assessment techniques. His work places particular emphasis on Barkhausen Noise (BN) testing, where he has co-developed robotic and integrated measuring heads that improve the precision, repeatability, and automation of structural integrity evaluation in ferromagnetic materials. Collaborating with over 28 co-authors, Kwapisz engages in cross-disciplinary research bridging materials science, mechanical engineering, sensor technology, and automation, resulting in outputs that support enhanced quality control, reduced failure risk, and greater manufacturing efficiency. Collectively, his research advances modern inspection methodologies and contributes to safer, more reliable, and technologically progressive engineering practices worldwide.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Knapiński, M., Dyja, H., Kawałek, A., Kwapisz, M., & Koczurkiewicz, B. (2013). Physical simulations of the controlled rolling process of plate X100 with accelerated cooling. Solid State Phenomena, 199, 484–489.
Cited by: 19

2. Dyja, H., Knapiński, M., Kwapisz, M., & Snopek, J. (2011). Physical simulation of controlled rolling and accelerated cooling for ultrafine-grained steel plates. Archives of Metallurgy and Materials, 56, 447–454.
Cited by: 10

3. Kawałek, A., Bajor, T., Kwapisz, M., Sawicki, S., & Borowski, J. (2021). Numerical modeling of the extrusion process of aluminum alloy 6XXX series section. Journal of Chemical Technology & Metallurgy, 56(2).
Cited by: 7

4. Dyja, H., Kwapisz, M., Laber, K., & Knapiński, M. (2011). Analysis of the effect of the tool shape on the stress and strain distribution in the alternate extrusion and multiaxial compression process. Archives of Metallurgy and Materials.
Cited by: 7

5. Rydz, D., Garstka, T., Koczurkiewicz, B., & Kwapisz, M. (2014). Walcowanie blach grubych ze stopu magnezu AZ31. Hutnik, Wiadomości Hutnicze, 81(5).
Cited by: 6