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Industry training on on-wafer optoelectronic vector network analysis

conference contribution
posted on 2023-11-06, 09:07 authored by Nicholas Heng Loong WongNicholas Heng Loong Wong, Brian Pile, Junqiang Zhou

In today’s fast-paced world, efficient industrial workplace training has economic implications in any technology firm. Employees are required to learn technical skills and acquire proficiency quickly, regardless of the extent of prior experience. In this paper, we outline a methodology to train technical staff, which could include engineers, technicians, and/or operators, on vector network analysis in the context of photonics companies involved in the characterization of optoelectronic devices, particularly photonic integrated circuits. The acquired skills span electronic, microwave, and optical domains, but assume only basic prior electrical knowledge and no microwave or optics background. Focusing on on-wafer S-parameter characterization of optoelectronic components or modules, we first describe training in various laboratory tasks, including instrument calibration, device handling, probing, optical waveguide alignment, and taking measurements. Then, we elaborate on some relevant skills for processing and analyzing measured data. We identify relevant theory where appropriate, in a way suited for industry needs as opposed to academic settings. In this manner, staff learn sufficiently to be able to level their skills swiftly to get the job done. Much of the pedagogical details stem from our own industrial experiences as a photonic wafer manufacturing company, where we have trained team members of various technical backgrounds. The pedagogy can be applied to other technical areas, and it is hoped that the ideas in this paper will be of value to both nascent and established organizations.

History

Journal/Conference/Book title

Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019, 2019, Quebec City, Quebec, Canada.

Publication date

2019-07-02

Version

  • Published

Rights statement

Nicholas H. L. Wong, Brian Pile, and Junqiang Zhou "Industry training on on-wafer optoelectronic vector network analysis", Proc. SPIE 11143, Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019, 111431Z (2 July 2019); https://doi.org/10.1117/12.2523481

Corresponding author

Nicholas Heng Loong Wong

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