CV
A PDF version of my CV is available here.
Education
- Ph.D. in Engineering, University of Warwick (WMG, Intelligent Vehicle Sensors Group), Jun 2022 – Jun 2026 (expected)
- Thesis topic: Multi-modal Sensor Perception in Autonomous Driving
- Supervisors: Prof. Valentina Donzella, Prof. Kurt Debattista, Prof. Mehrdad Dianati
- Fully funded by the CDT in Future Mobility Technologies
- M.Sc. in Smart, Connected and Autonomous Vehicles, University of Warwick, Oct 2020 – Oct 2021
- With Distinction; WMG Outstanding Student Scholarship
Research Experience
- Visiting Researcher, ETH Zurich, D-BAUG — Photogrammetry and Remote Sensing Group, Jan 2026 – Jun 2026
- Advisors: Prof. Konrad Schindler and Dr. Christos Sakaridis
- Project lead of the SwissAI Small Project proposal FoggyFields: Physically Consistent RGB–LiDAR Neural Fields for Foggy Weather (under review), in collaboration with ETH Zurich and the University of Warwick.
- Current topic: 3D scene reconstruction in adverse weather.
- Industry-Collaborative Master’s Project, ON Semiconductor × WMG, Oct 2020 – Oct 2021
- Project: Video Compression for Automotive Cameras.
- Published in IEEE T-IV.
Publications
See also my Google Scholar profile.
Wang, Y., Brödermann, T., Haghighi, H., Zhao, H., Sakaridis, C., Debattista, K., and Donzella, V. "AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild." Under review, Information Fusion.
Wang, Y., Zhao, H., Gummadi, D., Dianati, M., Debattista, K., and Donzella, V. (2025). "Robustness of Panoptic Segmentation for Degraded Automotive Camera Data." IEEE Transactions on Automation Science and Engineering. To be presented at ICRA 2026 (oral).
Wang, Y., Li, B., Wei, Z., Rahman, A., Gummadi, D., Zhao, H., and Donzella, V. (2025). "A Survey and New Perspective of Sensing in the Dark for Intelligent Transportation Systems." IEEE Transactions on Intelligent Transportation Systems.
Zhao, H.*, Wang, Y.*, Bashford-Rogers, T., Donzella, V., and Debattista, K. (2024). "Exploring Generative AI for Sim2Real in Driving Data Synthesis." IEEE IV 2024. (*co-first authors)
Wei, Z.*, Wang, Y.*, Sun, L., Vasilakos, A. V., and Wang, L. (2024). "ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement." IEEE Transactions on Artificial Intelligence. (*co-first authors)
Wang, Y., Zhao, H., Debattista, K., and Donzella, V. (2023). "The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving." IEEE ITSC 2023. Oral presentation.
Wang, Y., Chan, P. H., and Donzella, V. (2023). "Semantic-Aware Video Compression for Automotive Cameras." IEEE Transactions on Intelligent Vehicles.
Talks
August 01, 2024
Meeting at IEEE ITSS R8 Chapters Meeting, Genoa, Italy
August 01, 2023
Conference talk at IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain
Teaching
Academic Service and Leadership
- CVPRW URVIS 2026 Challenge Organiser (2026). Co-led organisation; first-authored challenge report accepted to CVPRW 2026.
- Student Activities Chair, IEEE ICVES 2025.
- Program Committee Member, AAAI (2023 – 2024).
- Reviewer (2023 – Present): IEEE T-IV, IEEE T-ITS, IEEE IoT-J, ITSC, IV.
Awards
- CDT Future Mobility Technologies PhD Full Scholarship, UK (2022)
- Third Place, Coding Marathon, Porsche Engineering & Nardò Technical Center, Italy (2023)
- WMG Outstanding Student Scholarship, University of Warwick (2020)
Skills
- Programming: Python, C/C++, C#
- Machine Learning and Vision: PyTorch, Claude Code
- Tools: Git, LaTeX, Markdown
