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

Zongran Dong | Computer Aided Design | Best Researcher Award

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Assoc. Prof. Dr. Zongran Dong | Computer Aided Design | Best Researcher Award

Teacher | Dalian University of Foreign Languages | China

Assoc. Prof. Dr. Zongran Dong, affiliated with Dalian Neusoft University of Information, China, is an expert in computational optimization and heuristic algorithms, with a focus on practical applications in logistics and industrial engineering. His research emphasizes the development and refinement of metaheuristic methods, including tabu search, to address complex operational challenges such as container-loading optimization, demonstrating both algorithmic innovation and real-world applicability. Despite a concise publication record of 3 peer-reviewed works, his research has garnered 58 citations and of 2 h-index, reflecting recognition and engagement within the scholarly community. Collaborating with six co-authors, Dong has contributed to interdisciplinary knowledge exchange that bridges computer science, applied mathematics, and engineering, enhancing the robustness and impact of his work. His contributions hold relevance for industrial practice, supporting efficiency, resource optimization, and sustainability in logistics and supply-chain systems. Overall, Dong’s research embodies a targeted, application-driven approach that advances intelligent optimization methods and demonstrates measurable influence on both academic research and operational industries worldwide.

Profiles: Scopus | ORCID

Featured Publication

1. A tabu search algorithm for container loading based on homogeneous blocks. (2011). Gaojishu Tongxin
Cited by: 1

Assoc. Prof. Dr. Zongran Dong’s research advances intelligent optimization techniques that enhance efficiency in global logistics and industrial operations. By improving algorithmic performance in container-loading and related systems, his work supports more sustainable, cost-effective, and data-driven decision-making across industries.