PhD Project 14 (DTU)

Distributed real-time operational data analytics

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• Important: don’t forget to mention in your application how you found out about the position.

Host: Technical University of Denmark (DTU), Embedded Systems Engineering (ESE) section.

• Main supervisor: Prof. Jan Larsen janla@dtu.dk (contact person)
• Co-supervisor: Prof. Lars Kai Hansen, lkh@imm.dtu.dk

Requirements:

• Mandatory requirements for all PhD positions
• Please contact the main supervisor for additional requirements

Objectives:

1. Propose data analytics for Industry 4.0 that exploit the connectivity and data access features of the Fog Nodes.
2. Implement a distributed real-time data analytics solution based on Machine-Learning-as-a-Service.
3. Demonstrate the data analytics solution on an industrial use case.

Expected Results:

• Distributed data representation and modeling, using the services provided by the Fog Nodes, which are close to the machines (robots, actuators, sensors).
• Distributed real-time machine learning algorithms that use the Fog Computing Platform.
• Implementation of the ML algorithms using ML-as-a-Service microservices.
• Evaluation of the approaches, and quantification of value gains obtained from the improved operations.

Planned visits and collaboration:

• VCE (Dr. Peter Wallin): Demonstrate the data analytics apps on the VCE use case.

Description:

Please contact the main supervisor for a detailed description.

Relevant publications:

Please contact the main supervisor for relevant publications about the topic area.