Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

MSc Sinian Li

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

Expertise: AI-based failure detection/prediction

Themes: Autonomous sensor systems

Biography

Sinian Li is a PhD student at SPS, starting in November 2023 and working with Justin Dauwels. Prior to this, she received her MSc diploma also from SPS.

Reliable POwerDown for Industrial Drives

The pioneering EU research project R-PODID started on the 1st of September 2023. This KDT JU co-funded project aims to develop an automated, cloudless, short-term fault-prediction for electric drives, power modules, and power devices, that can be integrated into power converters.

  1. A Discrete Wavelet Transform-Based Lightweight Transformer Model for Intelligent Fault Diagnosis
    Jiarui Zhou; Sinian Li; Justin Dauwels;
    In 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1251-1255, 2026. DOI: 10.1109/ICASSP55912.2026.11464936

  2. Physics-Informed Intelligent Motor Fault Detection
    Sinian Li; Raj Thilak Rajan; Edmund Marth; Patrick Zorn; Wolfgang Gruber; Justin Dauwels;
    In 33rd European Signal Processing Conference (EUSIPCO),
    IEEE, pp. 1158--1162, 2025.
    document

  3. MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR)
    Sinian Li; Doruk Barokas Profeta; Justin Dauwels;
    In 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024,
    IEEE, pp. 551--555, 2024.
    document

BibTeX support

Last updated: 23 Aug 2024

Sinian Li