Peng Yan

Work at ZHAW

Focus

Computer Vision

Experience

System Engineer
China Mobile
09 / 2016 - 07 / 2019

Education and Continuing education

Education

M.S. in Data Science / Data Science
University of Zurich
09 / 2019 - 06 / 2022

Network

ORCID digital identifier

ORCID ID: 0009-0006-0236-4707

Social media

LinkedIn

Projects

• dAIrector – Automated multi-camera live production for events / Team member / ongoing
• DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Team member / completed

Publications

• Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directions.

  IEEE Access.

  12, pp. 3768-3789.

  Available from: https://doi.org/10.1109/ACCESS.2023.3349132

• Yan, Peng; Abdulkadir, Ahmed; Schatte, Gerrit A.; Aguzzi, Giulia; Gha, Joonsu; Pascher, Nikola; Rosenthal, Matthias; Gao, Yunlong; Grewe, Benjamin F.; Stadelmann, Thilo,

  2025.

  Learning actionable world models for industrial process control[paper].

  In:

  2025 12th IEEE Swiss Conference on Data Science (SDS).

  12th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 26-27 June 2025.

  IEEE.

  Available from: https://doi.org/10.21256/zhaw-33031

• Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,

  2024.

  Automated process monitoring in injection molding via representation learning and setpoint regression[paper].

  In:

  2024 11th IEEE Swiss Conference on Data Science (SDS).

  11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.

  IEEE.

  pp. 138-145.

  Available from: https://doi.org/10.1109/SDS60720.2024.00027

• Luley, Paul-Philipp; Deriu, Jan Milan; Yan, Peng; Schatte, Gerrit A.; Stadelmann, Thilo,

  2023.

  From concept to implementation : the data-centric development process for AI in industry[paper].

  In:

  2023 10th IEEE Swiss Conference on Data Science (SDS).

  10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.

  IEEE.

  pp. 73-76.

  Available from: https://doi.org/10.1109/SDS57534.2023.00017

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