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Naol Dessalegn Dejene

Assistant Professor

Pusan National University

South Korea

Research Interests

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About

Naol Dessalegn Dejene is an Assistant Professor at the University of Stavanger, Norway. His research areas encompass clean energy demand in Industry 4.0, advanced materials processing, and machine learning applications in additive manufacturing. Recent contributions include studies on the optimization of welding processes, laser powder bed fusion, and the characterization of nanomaterials.

Articles (13)

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2021

Collaborators (2)

Hirpa Lemu

Professor

University of Stavanger

NORWAY

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Sanghu Park

Professor

Pusan National University

SOUTH KOREA

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Naol Dessalegn Dejene

Research Interests

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About

Articles (13)

Buffer-layer-assisted multilayer directed energy deposition of Inconel 625-TiC composite coatings for enhanced wear and corrosion resistance of 316L stainless steel

Effects of Scanning Strategies, Part Orientation, and Hatching Distance on the Porosity and Hardness of AlSi10Mg Parts Produced by Laser Powder Bed Fusion

Clean energy demand in industry 4.0: Trends, challenges, and opportunities

Physics-informed modeling and process optimization of friction stir welding of AA7075-T6 with a zinc interlayer

Computational design of hybrid metamaterials: Optimized topology and lattice infill for complex multi-geometric structures

Improving computer numerical control (CNC) turning performance of AISI D2 steel with nanofluid composites and advanced machine learning techniques

Bottom-up optimization of additive manufacturing: Process–structure–property relationships in laser powder bed fusion

Sol–gel and co-precipitation synthesized hybrid nanofluids for enhanced CNC turning of AISI 4340 steel: an experimental and machine learning approach

Characterisation and prediction of mechanical properties in laser powder bed fusion-printed parts: a comparative analysis using machine learning

Effects of process parameters on the surface characteristics of laser powder bed fusion printed parts: machine learning predictions with random forest and support vector regression

Current Status and Challenges of Powder Bed Fusion-Based Metal Additive Manufacturing: Literature Review

Critical Review of Comparative Study of Selective Laser Melting and Investment Casting for Thin-Walled Parts

Preparation and Studies on ZnO Nanoparticles Doped with Ni, Ca and Fe,Підготовка та дослідження наночастинок ZnO, легованих Ni, Ca та Fe

Collaborators (2)

Hirpa Lemu

Sanghu Park

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