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Doctoral project: Enhancing MLOps architectures for efficient integration, deployment and inference of AI Models in diverse industrial settings This project focuses on advancing MLOps architectures to…
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Doctoral project: Digital Twin as a Service (DTaaS) This doctoral project targets to work on Digital Twin, with integration to data intensive sources.
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The industry graduate school Data Intensive Applications (DIA) Data Intensive Applications (DIA) is a graduate school for industrial doctoral students that focuses on applied research, addressing the…
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Doctoral project: Exploring AI driven operation for forecasting in data-light environments: The multishop concept The advent of big data and AI brought new possibilities to businesses. In this…
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Doctoral project: Application of AI in software architecture development This project aims to streamline the software system architecture development process by leveraging AI.
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Doctoral project: AI-powered patent drafting This project builds generative AI tools to improve the workflow of patent attorneys, driving innovation in patent drafting.
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Doctoral project: RUL prediction based on historical battery cycle logs This project aims to create a workflow with diverse machine learning algorithms to simulate battery remaining useful life (RUL)…
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Dag Björnberg
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Daniel Nilsson
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Felix Viberg
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Nemi Pelgrom
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Nils Johansson
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Senadin Alisic
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Tibo James Liam Bruneel
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Wanted: Three industrial doctoral students with a focus on data-intensive applications News
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Wanted: Four industrial doctoral students with a focus on data-intensive applications News
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Industrial doctoral student works with smart cities as effective ecosystems News
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Industrial doctoral students will create digital twins for Volvo CE News