Jia Qian

  • Education:
    • Master Degree: Information Engineering in University Of Padova (Italy)
    • Bachelor Degree: Software Engineering in Fudan University (China)
  • Research Interests:
    • Machine Learning, Data Science
PhD Student
lainey.qian@gmail.com

Distributed real-time operational data analytics

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

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.