CV

Education

• Ph.D. in Computer Engineering, Budapest University of Technology and Economics, 2019–2023
• M.Sc. in Electrical Engineering, Budapest University of Technology and Economics, 2017–2019
• B.Sc. in Electronic Information Engineering, Chengdu University of Information Technology, 2013–2017
• Exchange Student: National Central University, Taiwan, 2016
• Exchange Student: The University of Hong Kong, Hong Kong, 2014

Work Experience

• 2024 – Present: Assistant Professor, Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics (VIK), BME
• 2022 – Present: Research Fellow, Machine Perception Research Laboratory, HUN-REN Institute of Computer Science and Control (SZTAKI)
• 01/11/2018 – 01/02/2019: IT Intern, 360.World, Budapest, Hungary
• 01/04/2018 – 31/07/2018: IT Engineer Intern, Huawei Technologies Hungary Kft.

Skills

• Programming & Tools: Python, C++, MATLAB, TensorFlow, PyTorch, Jupyter Notebook
• Research & Analysis: Machine Learning, Deep Learning, Computer Vision, Remote Sensing, UAV-based systems
• Data Processing & Modeling: Satellite imagery processing, NDVI classification, GIS analysis
• Soft Skills: Academic supervision, technical writing, project management, teaching

Publications

D3FNet: A Differential Attention Fusion Network for Fine-Grained Road Structure Extraction in Remote Perception Systems

Chang Liu, Yang Xu, Tamas Sziranyi. (2025). " D3FNet: A Differential Attention Fusion Network for Fine-Grained Road Structure Extraction in Remote Perception Systems." International Conference on Computer Vision .ICCV 2025.

Enhanced Infrastructure Enabled Perception System Based on Edge Computing

J Hu, S Luo, J Lai, C Liu. (2025). " Enhanced Infrastructure Enabled Perception System Based on Edge Computing." IEEE Internet of Things Journal. vol. 12, no. 11, pp. 16493-16510, 1 June1, 2025, doi: 10.1109/JIOT.2025.3532317.

Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke

Chang Liu, Tamas Sziranyi. (2023). "Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke." 17th International Conference on Signal Image Technology & Internet based Systems.IEEE SITIS 2023.

Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites

Chang Liu, Tamas Sziranyi. (2023). " Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites." The 26th IEEE International Conference on Intelligent Transportation Systems . IEEE ITSC 2023.

Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wildness

C Liu, T Szirányi. (2022). "Road Condition Detection and Emergency Rescue Recognition Using On-Board UAV in the Wilderness." Remote Sensing. 14(17):4355.

Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue

C Liu, T Szirányi. (2021). "Real-Time Human Detection and Gesture Recognition for On-Board UAV Rescue." Sensors. 21(6):2180. Editor’s Choice Article.

Talks

Seeing the World Differently: AI for Satellites, Drones and Mobile Robotics

May 10, 2025

Talk at Lead Workshop, Budapest

Optimal Wildfire Escape Route Planning for Drones under Dynamic Fire and Smoke

November 01, 2023

Conference proceedings talk at 17th International Conference on Signal Image Technology & Internet based Systems (IEEE SITIS 2023), Bangkok, Thailand

Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites

September 01, 2023

Conference proceedings talk at The 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao，Spain

A Global Multi-Temporal Dataset with STGAN Baseline for Cloud and Cloud Shadow Removal

April 21, 2023

Conference proceedings talk at IMPROVE 2023, Prague, Czech Republic

UAV Path Planning based on Road Extraction

April 22, 2022

Conference proceedings talk at Proceedings of 2nd International Conference on Image Processing and Vision Engineering - IMPROVE 2022, Online

Gesture Recognition for UAV-based Rescue Operation based on Deep Learning

April 28, 2021

Conference proceedings talk at IMPROVE 2021, Online

Teaching

Thesis Supervision

Teaching Experience

Professional Service and Leadership

• Chair, IEEE Hungary Section Intelligent Transportation Systems Society (ITSS) Chapter, 2025–2027

• Publicity Chair, RoboI 2025, Osaka, Japan, Nov 20–22, 2025

• 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

• Committee Member, IEEE ITSS Young Professionals Committee, 2022–Present

Mentorship and Supervision

• M.Sc. Thesis Supervisor
  • Xuezhe Xiong (Honorably graduated, July 2025)
  • Xu Yang (Honorably graduated, July 2025)