Shivam Shukla

About

I am a PhD researcher at KU Leuven in the Additive manufacturing group. My work mainly focuses on multi-sensor fusion in Laser Powder bed fusion for process monitoring and control to develop zero-defect products. My previous research expertise is on Laser directed energy deposition and Laser cladding. I worked as a research fellow at IIT Hyderabad and gained good experience in Laser surface engineering processes, real-time monitoring in Laser material processing etc.

I want to become an independent researcher in Additive Manufacturing and bring it from the academic level to industries. I always want to connect with research groups and initiatives in similar fields.

Employment

• KU Leuven PhD Researcher
  2023 - Present
• IIT Hyderabad Junior Research Fellow
  2021 - 2022

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Material Dependent Acoustic Signatures in Laser Powder Bed Fusion Additive Manufacturing
  Procedia CIRP 2026 DOI: 10.1016/j.procir.2026.07.051
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• Laser Surface Polishing of Additively Manufactured Components Via Beam Shaping: Influence on Surface Topography, Microstructure, and Mechanical Properties
  Journal Of Manufacturing Science And Engineering-Transactions Of The Asme 2026 DOI: 10.1115/1.4072054
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• Unified absorptivity scaling behavior in LPBF for materials with varying thermal conductivity and powder absorptivity
  Additive Manufacturing 2026 DOI: 10.1016/j.addma.2026.105314
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• Blind Source Separation for Detecting Keyhole Acoustic Activity in Laser Powder Bed Fusion
  2026
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• Acoustic emission directionality of the melt pool in laser powder bed fusion additive manufacturing
  Additive Manufacturing 2026 DOI: 10.1016/j.addma.2026.105096
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• Measuring natural frequencies via vibroacoustic monitoring in laser powder bed fusion
  CIRP Annals 2026 DOI: 10.1016/j.cirp.2026.04.081
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• Data-Driven Approach to Identify Acoustic Emission Source Motion and Positioning Effects in Laser Powder Bed Fusion with Frequency Analysis
  Procedia CIRP 2025 DOI: 10.1016/j.procir.2025.02.091
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• Data-driven Approach to Identify Distortion of Acoustic Signals by Process Contextual Information in LPBF
  2025
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• Effect of Processing Conditions on the Background Signal in Acoustic Monitoring of Laser Powder Bed Fusion (LPBF)
  2024
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• Real-time monitoring of temperature gradients and bending mechanism in multi-scan laser forming process
  Journal of Manufacturing Processes 2024 DOI: 10.1016/j.jmapro.2024.04.012
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