Baifan Zhou

Postdoctoral Researcher
Image of Baifan Zhou
Norwegian version of this page
Visiting address Gaustadalleen 23 B 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo


Baifan Zhou is a Postdoctoral Researcher at SIRIUS Centre, Department of Informatics, University of Oslo (UiO). His current focus includes Semantic Web, Machine Learning (ML), and web-based applications for user-friendly ML, cloud computing, ontology engineering, etc. He is experienced in software engineering with common web programming languages such as HTML, CSS, JavaScript, and has been participating in various industrial web applications. Meanwhile, he has been active on teaching and student supervision, including invited lectures and series tutorials, and supervision of Master students and PhD students. He is in charge of the SIndAIS4 project for Scaling Industrial AI with Semantic Web from the UiO side, which offers industrial users with web-based applications for user-friendly AI. Prior to UiO, Baifan has done an industrial PhD study (with magna cum laude) at Bosch Corporate Research and Karlsruhe Institute of Technology in Germany. His PhD study with the topic of Semantic Web and ML in Industry 4.0 has led to or inspired six PhD programs until 2021. Baifan has been actively working on Web-based Applications, (Big) Data Analytics,  Feature Engineering and Deep Learning, Semi-Automated ML with Semantic Web Technologies, and Knowledge Graph Construction and Applications. Baifan's research interests focus on facilitating AI development for Industry 4.0 by combining Web Technology, Semantic Web and Machine Learning, including Digital Twins, Neural-Symbolic Reasoning, etc. He has actively participated in multi-disciplinary projects in EU projects of DataCloud, OntoCommons, and DOME 4.0, manufacturing industry, chemical industry, speech recognition, and robotic control.


Baifan Zhou is the Project Coordinator of SIndAIS4: Scaling Industrial AI with Semantics.


Please refer to my Google Scholar Profile or DBLP page.

Tags: Machine Learning, Semantic Technologies, Industry 4.0
Published Feb. 1, 2021 5:04 PM - Last modified June 30, 2022 1:25 PM