Yuang Chen

Yuang Chen is a Digital Futures Postdoctoral Fellow at the Division of Information Science and Engineering (ISE), KTH Royal Institute of Technology, working with Prof. Mikael Skoglund, Prof. Ming Xiao, and Prof. Markus Flier.

He received his Ph.D. degree from the University of Science and Technology of China (USTC), under the supervision of Prof. Hancheng Lu and Prof. Chang Wen Chen. He was a Research Assistant at The Hong Kong Polytechnic University (PolyU). He also worked as an AI Research Scientist at Huawei's ICT Business Group (ICT BG), focusing on AI-RAN and generative video communications.

He has published over 20 papers in international journals and conferences and holds several invention patents. He is a recipient of the Chinese Academy of Sciences (CAS) President's Award (2026), the highest academic honor bestowed upon graduate students within the CAS system, as well as the USTC Outstanding Doctoral Dissertation Award and multiple National Scholarships. He was also selected for the 2026 IETF Young Talent Program.

Research Interests

His research interests focus on intelligent wireless communications and multimedia transmission, particularly immersive video, metaverse, and digital twin applications in 5G/B5G/6G wireless communication and networking systems. His research topics include:

1. Intelligent Wireless Communications and Multimedia Networking

• Video Transmission Quality Optimization
• Environment-Aware Robust Mobile Video Transmission
• NGMA (e.g., RSMA and NOMA) based Internet-of-Video Things (IoVT).

He has also worked on speech signal processing technologies for smart healthcare, combining advanced deep learning techniques with speech and linguistic signal processing. His research in this area includes:

2. AI-Driven Speech and Healthcare Technologies

• Multimodal LLM-Based Cross-Lingual Alzheimer’s Disease Detection
• Speech Signal-based Diagnosis and Screening for Facial Paralysis.
• Construction of Speech Physiological Signal Resources (e.g., F0, EGG, EEG, Nasality).
• Deep Learning-based Quantitative Assessment for Language Impairments.

He is always eager to connect with researchers who share similar or complementary research interests and welcomes opportunities for academic and industrial collaborations. Please feel free to contact him at yuangc@kth.se to explore potential collaborations.