Asst. Prof. Chang Liu (Cuki)

👋 Welcome!
I am an Assistant Professor in the Department of Networked Systems and Services (HIT), Faculty of Electrical Engineering and Informatics (VIK), at the Budapest University of Technology and Economics (BME), Hungary. I received both my MSc in Electrical Engineering and PhD in Computer Engineering from BME-VIK. I am also a Research Fellow at the Machine Perception Research Laboratory (MPLAB), HUN‑REN Institute for Computer Science and Control (HUN‑REN SZTAKI). I currently serve as Chair of the IEEE Hungary Section Intelligent Transportation Systems Society (ITSS) Chapter.

🚀 Research Interests

My research interests include:

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

✨ I welcome applications from MSc students and prospective PhD students who are interested in research projects related to these fields.

📬 Interested in my research? Please send your CV and transcript to 📧 changliu@hit.bme.hu or changliu@sztaki.hu.

🌍 Professional Service and Leadership

• Chair, IEEE Hungary Section Intelligent Transportation Systems Society (ITSS) Chapter, 2025–2027
• Committee Member, IEEE ITSS Young Professionals Committee, 2022–Present
• Publicity Chair, Roboi 2025, Osaka, Japan, Nov 20–22, 2025
• Associate Editor, IEEE ICVES 2026, Cochabamba, Bolivia, November 9–11, 2026
• TPC Member, NMAI 2027, Hong Kong, February 26–28, 2027
• Session Co-Chair, Air Transport Session, 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Spain, Nov 17–19, 2023
• Session Chair, Deep Learning & Neural Networks (Session 2A), 3rd International Conference on Image Processing and Vision Engineering (IMPROVE 2023), Prague, Czech Republic, April 22, 2023

📰 News

• 2026-09: 🇮🇹 Invited to give a workshop talk and participate in the Industry Panel at IEEE ITSC 2026, Naples, Italy.
• 2026-08: 🎉 Student research paper accepted at CogMob 2026, Budapest, Hungary.
• 2026-07: 🎓 Three MSc students under my supervision successfully defended their theses and graduated from BME. Congratulations to all of them! 🎉
• 2026-06: 🇪🇺🇸🇪 Awarded the Erasmus+ Staff Mobility Grant for a research visit as a Visiting Assistant Professor at the Mobility Informatics Lab, Division of Transport Planning, KTH Royal Institute of Technology, Stockholm, Sweden.
• 2026-05: 🎉 Paper accepted at IEEE ITSC 2026, September 15–18, Naples, Italy 🇮🇹. Paper: “Multimodal Drivers’ Emotion Recognition and Safety-Oriented Intervention for Intelligent Transportation Systems” 🚗🧠📊
• 2026-04: 🇪🇺🇸🇪 Awarded Erasmus+ Staff Mobility Grant for a research visit as a Visiting Assistant Professor at KTH Royal Institute of Technology, Stockholm, Sweden.
• 2025-12: 🇭🇺🚀 IEEE Hungary Section ITSS Chapter Established! Proud to serve as Chair of the newly approved IEEE Hungary Section Intelligent Transportation Systems Society (ITSS) Chapter!
• 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 and Student Supervision

I teach and supervise courses, laboratory projects, and MSc theses at BME:

• 📡 Advanced Mobile and Wireless Networks (VIHIMA16) — Lecturer
• 💻 Basics of Programming 1 — Practice and Laboratory
• 🌐 Communication Networks — Laboratory
• 🎓 University Experience 1 — English Circle Leader for international first-year students
• 🧪 Project Laboratory — Supervisor
• 🎓 MSc Thesis Supervision — Supervisor of research projects in autonomous driving, UAVs, remote sensing, multimodal perception, path planning, and robotics

See my Teaching Experience and Thesis Supervision pages for more details.

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