About

Dr. Chang Liu (Cuki)

👋 Welcome! I am Dr. Chang Liu. I received my MSc in Electrical Engineering and PhD in Computer Engineering from Budapest University of Technology and Economics (BME), Hungary. I am currently an Assistant Professor in the Department of Networked Systems and Services at the Faculty of Electrical Engineering and Informatics (VIK), BME, and a Research Fellow at the Machine Perception Research Laboratory, HUN-REN Institute for Computer Science and Control (HUN-REN SZTAKI).

🚀 My research interests include:

  • 🤖 Artificial Intelligence & Deep Learning
  • 🖼️ Machine Vision & Remote Sensing
  • 🚁 UAV-based Rescue Systems
  • 🛰️ Satellite–Drone Collaboration for Navigation and Road Extraction
  • 🚗 Autonomous Driving Applications

✨ I welcome applications from master’s students interested in research projects related to these fields. 📬 Interested in my research? Please send your CV and transcript to 📧 changliu@hit.bme.hu; changliu@sztaki.hu


📰 News

  • 2025-08: ✈️ 2 papers accepted at ICCV 2025, Oct 19–23, Honolulu, Hawai’i 🎉
  • 2025-06: 🎉 Honored to receive the Intézeti díj (Institute Award) from HUN-REN SZTAKI 🏆
  • 2025-06: Paper accepted at 67th International Symposium ELMAR-2025 15-17 September 2025 Zadar, Croatia✈️
  • 2025-04: Selected for the 2025 Fellowship Program for Promoting Women, Young Professionals, and Leadership in ITS by IEEE ITSS 👩‍💼🌐 Paris, France✈️
  • 2025-01: 📰 D1 Journal paper published: Enhanced Infrastructure Enabled Perception System Based on Edge Computing, IEEE Internet of Things Journal
  • 2024-09: 📢 Our paper was presented at the IEEE International Conference on Intelligent Transportation Systems (ITSC 2024), Edmonton, Canada. Paper: Towards Understanding Worldwide Cross-Cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmap
  • 2024-04: Participated in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea ✈️
  • 2023-11: 🎉 Selected as one of the IEEE ITSS WiE/YP Fellowship Recipients 🌟 Attended the annual ITS Workshop and Research Forum in Cairo, Egypt (20–22 Nov)✈️
  • 2023-11: Presented “Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke” at IEEE SITIS 2023, Bangkok, Thailand 🔥🛰️✈️
  • 2023-09: Presented “Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites” at IEEE ITSC 2023, Bilbao, Spain 🌍🚁✈️
  • 2023-02: Selected as Committee Member of IEEE ITSS Young Professionals 👩‍💻 IEEE ITSS YP
  • 2022-11: Awarded IEEE ITSS Young Professionals Travelling Fellowship 2022, 25–27 November 2022, Chania, Crete, Greece ✈️
  • 2022-09: Article “Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness”, Remote Sensing 14 (17), 4355 📡
  • 2021: Article “Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue”, selected as Editor’s Choice Article 🏆

Check out my Publications and CV for more details.


📚 Teaching

I teach and supervise the following courses and projects:

  • 🌐 Communication Networks
  • 📘 Basics of Programming 1
  • 📡 Advanced Mobile and Wireless Networks (VIHIMA16)
  • 🧪 Project Laboratory (Supervisor)
  • 🎓 M.Sc. Thesis Supervisor — Honorably graduated in July 2025.

📍 Budapest, Hungary
📧 changliu@hit.bme.hu ; changliu@sztaki.hu
🌐 Google Scholar | ORCID | ResearchGate | GitHub | LinkedIn