Anqi Chu, M. Sc.
- Wissenschaftliche Mitarbeiterin
- Group: Prof. Stork
- Room: 2.29
CS 30.10 - Phone: +49 721 608-46499
- anqi chu ∂does-not-exist.kit edu
- Engesserstr. 5
76131 Karlsruhe
M.Sc. Anqi Chu
Professional resume
- Bachelor's degree in Mechatronics at Tongji University, Shanghai
- Master's degree in electrical engineering and information technology with a focus on electromobility at KIT
- Research associate at ITIV since September 2022
AI for Optimization
Application of artificial intelligence techniques—especially reinforcement learning—to solve complex optimization problems, with a focus on real-world systems subject to practical constraints and dynamic environments. Research includes algorithm development, efficiency, generalization, and real-world adaptability.
Driving Behavior Prediction
Development of data-driven models for driving behavior prediction using cloud-integrated and real-time information sources. Research includes multimodal data fusion, behavior modeling, and predictive analytics to support intelligent vehicle systems and decision-making in dynamic environments.
Explainable and Trustworthy AI
Research on improving the transparency, interpretability, and reliability of AI systems in real-world applications. The work focuses on developing methods that enable experts from non-AI fields to understand, evaluate, and trust AI-driven decisions, supporting safe and robust decision-making in complex environments.
| Title | Type | Date |
|---|---|---|
| AI-based optimization: development of learning algorithms for complex tasks | Bachelor- /Masterarbeit | ab 06 / 2025 |
| Deep learning approach to driving behavior prediction with data fusion | Masterarbeit | ab 08 / 2024 |
| Train your own AI agent with Reinforcement Learning: Gaming, dynamic controlling like a pro | Bachelor-/ Masterarbeit | ab 08 / 2024 |
| Meta-learning: learning to learn. Generalization of the ability of neural networks for task series | Bachelor-/ Masterarbeit | ab 08 / 2024 |
Publications
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
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
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
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
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