معرفی
Manoranjan Kumar is a researcher at Linnaeus University, affiliated with the Industrial Research School Data Intensive Applications (DIA) and the Data Intensive Software Technologies and Applications (DISTA) research group. His work focuses on data-driven methods like machine learning and artificial intelligence, particularly applied to industrial challenges at Volvo CE through digital twin development projects.
- Key Research Areas: Machine learning, digital twins, fatigue analysis, predictive maintenance, industrial automation.
- Recent Publications: 4 peer-reviewed works (2023-2025) spanning fatigue analysis in welded joints, wheel loader automation, driving pattern classification, and EGR clogging prediction. These highlight interdisciplinary applications across construction, automotive, and transportation sectors.
Collaborations: Actively works with Volvo CE on industrial digital twin platforms, emphasizing customer problem-solving and operational optimization. Affiliated with the Linnaeus University Center for Data Intensive Sciences and Applications (DISA).
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