An Ngoc Lam

Avdeling for informasjonsteknologi
English version of this page Stilling

I received my B.E. degree in Computer Engineering from Ho Chi Minh City University of Technology, Vietnam and my M.S. degree in Computer Science from Østfold University College, Norway. Currently, I am a  PhD Student at Luleå University of Technology and work as a researcher at Østfold University College.

Research Interest

My current research is focused on Cyber-Physical Sytems (CPS) and IoT in the context of Industry4.0. Particularly, the following fields are my research interests:

  • Industrial IoT architecture.
  • Modeling of CPS.
  • Semantic Interoperability.
  • Self-adaptation.
  • IoT service orchestration.
  • Application of Machine learning/Deep Neural Network in Industrial IoT.


List of my publication can be found at my Google Scholar Profile


Emneord: Cyber-Physical Systems, Internet of Things, Modeling, UML, Semantic Web


  • Lam, An Ngoc & Haugen, Øystein (2019). Applying semantics into Service-oriented IoT Framework, In  The 17th IEEE International Conference on Industrial Informatics (IEEE-INDIN 2019): Proceedings.  IEEE.  ISBN 9781-7281-2927-3.  Conference paper.  s 206 - 213 Vis sammendrag
  • Lam, An Ngoc & Haugen, Øystein (2019). Implementing OPC-UA services for Industrial Cyber-Physical Systems in Service-Oriented Architecture, In  Proceeding 45th Annual Conference of the IEEE Industrial Electronics Society - IECON 2019.  IEEE conference proceedings.  ISBN 978-1-7281-4878-6.  Conference Paper.  s 5486 - 5492 Vis sammendrag
  • Lam, An Ngoc & Haugen, Øystein (2018). Supporting IoT semantic interoperability with autonomic computing, In  Proceeding of the 1st IEEE international conference on industrial cyber-physical systems (ICPS 2018)..  IEEE.  ISBN 9781538665305.  Article.  s 761 - 767 Vis sammendrag
  • Lam, An Ngoc & Haugen, Øystein (2016). Complex event processing in ThingML. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  9959, s 20- 35 . doi: 10.1007/978-3-319-46613-2_2

Se alle arbeider i Cristin

  • Garcia-Ceja, Enrique; Hugo, Åsmund Pedersen; Morin, Brice; Hansen, Per Olav; Martinsen, Espen; Lam, An Ngoc & Haugen, Øystein (2019). Towards the Automation of a Chemical Sulphonation Process with Machine Learning. Vis sammendrag

Se alle arbeider i Cristin

Publisert 12. juni 2018 16:14 - Sist endret 8. okt. 2020 20:02