Mohd Zubair Akhtar
PhD researcher — Finite Element Analysis and Artificial Intelligence
zubair-zubair
Kassel, Hessen, Germany
Joined March 2026
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Summary
Researcher focused on combining finite element analysis and artificial intelligence to improve solder joint reliability and lifetime prediction. nature+2
Active academic contributor with a trajectory from a master's thesis at THI to research associate roles and a doctoral position, reflected in peer-reviewed journal and conference publications. kobv+2
Practical engineering background bridging industry and research: earlier roles in industrial engineering, CAE, and working-student positions that inform applied simulation and manufacturing-focused research. skill-lync
Technical skillset includes FEA, CAE workflows, point-cloud/3D CNN and PointNet AI approaches, and CAD tools which underpin both his research and applied engineering work. google+2
Work
Education
Projects
Writing
AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data
July 1, 2025Presents an AI framework (PointNet and 3D CNN approaches) for automated 3D FEA post-processing to predict solder joint lifetime in ceramic-based high-power LED packages; reports high prediction correlation (PointNet R2 ≈ 99.91%).
Solder joint lifetime model using AI framework operating on FEA data
January 1, 2025Article describing AI frameworks operating on FEA data to model solder joint lifetime (Engineering Failure Analysis).
Solder joint lifetime model using AI framework operating on FEA data (preprint / dissertation record)
September 1, 2024Preprint / archived version of the solder joint lifetime modeling work (includes author contributions and methodology).
LEDs lifetime prediction modeling: Thermomechanical simulation for SAC305 and SAC105
January 1, 2024Conference paper detailing thermomechanical FEA simulations and lifetime prediction modeling for various LED package designs and solder alloys (SAC305, SAC105).