Dr. Inayet Burcu Toprak | Artificial Intelligent | Editorial Board Member
Akdeniz University | Turkey
Dr. İnayet Burcu Toprak is a multidisciplinary researcher whose work bridges advanced manufacturing, artificial intelligence, materials engineering, and computational modeling. Her research focuses on optimizing additive manufacturing processes—particularly laser powder bed fusion, fused filament fabrication, and melt deposition modeling—using statistical, machine learning, and fuzzy logic–based approaches. She has made significant contributions to improving dimensional accuracy, mechanical performance, hardness prediction, and surface integrity of engineering materials including AlSi10Mg alloys, pure molybdenum, 316L stainless steel, and polymer-based composites. Alongside manufacturing optimization, she has produced impactful studies in signal processing, biomedical engineering, vibration analysis, acoustic emissions, and tool condition monitoring. Her early work on EEG signal classification, artificial neural networks, and neuro-fuzzy systems established a strong computational foundation that continues to underpin her modern engineering solutions. Dr. Toprak’s research has been published across leading international journals and conferences, supported by extensive collaborations in mechanical engineering, electronics, automation, and computational intelligence. Her scholarly impact is evidenced through citations recorded across major indexing platforms including Scopus, Google Scholar, and Web of Science, demonstrating sustained recognition of her contributions to manufacturing science and intelligent systems. She has authored journal articles, book chapters, and conference papers, and serves as a reviewer and editorial board member in engineering journals, contributing to the advancement of scientific publishing and research quality. Her current work continues to integrate intelligent optimization, material characterization, and high-precision manufacturing to develop innovative solutions for next-generation engineering applications.
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Featured Publications
Toprak, I. B., Dogdu, N. (2024). Multi-objective optimization study on production of AlSi10Mg alloy by laser powder bed fusion. Applied Sciences, 14(22), 1–12.
Toprak, I. B. (2025). Fuzzy logic-based prediction of tensile strength in fused filament fabrication: A case study on polylactic acid. Journal of Materials Engineering and Performance.
Fedai, Y., & Toprak, I. B. (2025). Optimization of drilling parameters for glass fiber-reinforced nanocomposite materials using Taguchi-based CRITIC-VIKOR method. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering.
Toprak, I. B. (2025). Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches. Scientific Reports.
Toprak, I. B., Dogdu, N., & Salamci, M. U. (2025). Numerical optimization of laser powder bed fusion process parameters for high-precision manufacturing of pure molybdenum. Applied Sciences, 15(10).