Anqi Chu, M. Sc.

  • Engesserstr. 5
    76131 Karlsruhe

M.Sc. Anqi Chu

Lebenslauf

  • Bachelorstudium der Mechatronik an der Tongji Universität, Shanghai
  • Masterstudium der Elektro- und Informationstechnik mit der Vertiefungsrichtung Elektromobilität am KIT
  • Wissenschaftliche Mitarbeiterin am ITIV seit September 2022

Forschung

  • Machine Learning, Reinforcement Learning, Deep Learning
  • Explainable AI, Trustworthy AI
  • Driving Behavior Prediction
  • Data Analysis, Spectral Analysis

Publikationen


2023
Proceedingsbeiträge
Towards Predictive Lifetime-Oriented Temperature Control of Power Electronics in E-vehicles via Reinforcement Learning
Chu, A.; Xie, X.; Hermann, C. M.; Stork, W.; Roth-Stielow, J.
2023. IEEE International Conference on Big Data (BigData), Sorrento, Italy, 15th-18th December 2023, 1667–1676, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData59044.2023.10386292
Artificial Intelligence for Spectral Analysis: Challenges and Opportunities
Chu, A.; Xie, X.; Stork, W.
2023. IEEE International Conference on Big Data (BigData), Sorrento, Italy, 15th-18th December 2023, 5176–5180, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData59044.2023.10386853
LETSCOPE: Lifecycle Extensions Through Software-Defined Predictive Control of Power Electronics
Chu, A.; Hermann, C. M.; Silz, J.; Pfau, J.; Barón, K. M.; Anantharajaiah, N.; Schmidt, P.; Hotfilter, T.; Xie, X.; Becker, J.; Kallfass, I.; Roth-Stielow, J.; Stork, W.
2023. IEEE EUROCON 2023 - 20th International Conference on Smart Technologies, 665–670, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EUROCON56442.2023.10199076
2022
Proceedingsbeiträge
Minimal Cost Device Calibration in Spectral Analysis via Meta Learning: Towards Efficient Deployment of Deep Neural Networks in Industry
Xie, X.; Jin, M.; Chu, A.; Stork, W.
2022. IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17th-20th December 2022, 2123–2132, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData55660.2022.10020366
Efficient Network Pruning via Feature Selection
Xie, X.; Chen, T.; Chu, A.; Stork, W.
2022. 2022 26th International Conference on Pattern Recognition (ICPR), 1843–1850, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICPR56361.2022.9956190