Ewa Dostatni

Papers

Total Citations

142

H-Index

About

Ewa Dostatni is a leading researcher at the intersection of additive manufacturing, medical rehabilitation, and sustainable production within the Industry 4.0 paradigm. Her work focuses on optimizing 3D printing processes for medical applications, particularly through the integration of artificial intelligence to enhance material performance and reduce waste. Her most cited paper, "AI-Optimized Technological Aspects of the Material Used in 3D Printing Processes for Selected Medical Applications" (2020, 105 citations), demonstrates how patient-tailored 3D-printed solutions can be compromised by non-optimal combinations of technological parameters and material features—a problem she systematically addresses. Dostatni also co-authored "Modern approach to sustainable production in the context of Industry 4.0" (2022, 26 citations), which opens a special section on sustainability in production, and "Reducing Waste in 3D Printing Using a Neural Network Based on an Own Elbow Exoskeleton" (2021, 11 citations), where she applies neural networks to minimize material waste in rehabilitation devices. Her notable work on an elbow exoskeleton exemplifies her commitment to advancing robotic rehabilitation systems. With a growing citation impact, Dostatni is a key figure in shaping how AI and 3D printing converge to create more efficient, sustainable, and personalized medical technologies.