Shuhong Dai

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Ph.D. Researcher at

Edge AI Group,

University of Innsbruck.

daishuhong02@gmail.com

I am currently a Ph.D. researcher in the Edge AI Group at the University of Innsbruck, working under the supervision of Prof. Radu Prodan. My research interests mainly focus on Distributed AI and Agentic AI.

I received my Master’s degree in Computer Science in 2026. During my master’s studies, I was supervised by Prof. Long Cheng and conducted research in the EPI Lab led by him. My research mainly focused on multi-agent reinforcement learning for intelligent transportation systems.

Before that, I received my Bachelor’s degree in Electrical Engineering in 2023. During my undergraduate studies, my interests included power converters and embedded real-time operating systems.

latest posts

Mar 12, 2026 Debugging a GitHub CLI Networking Issue Behind a SOCKS Proxy
Jan 28, 2026 Access-Controlled Randomness in TFT: Unlockable Champions and the Structural Logic Behind Patch 16.3
Nov 17, 2025 A Quick Mental Model for Estimating LLM GPU Memory Use

selected videos

Oct 03, 2024 Vehicle Platooning and Road Cooperation via MARL in Carla (in Chinese)

selected publications

  1. llm_assisted.png
    LLM-assisted Multi-agent Reinforcement Learning for Low-carbon Intelligent Transportation Systems
    Shuhong Dai, Xingtang Wu, Jiawei Nian, Cong Liu, Fang Fang, Konstantinos Makantasis, Georgios Theodoropoulos, and Long Cheng
    IEEE Transactions on Intelligent Transportation Systems, 2026
  2. QRL.png
    Quantum Reinforcement Learning for QoS-aware Real-time Job Scheduling in Cloud Systems
    Shuhong Dai, Nishant Saurabh, Qing-Le Wang, Jiawei Nian, Shuwen Kan, Ying Mao, and Long Cheng
    IEEE Systems Journal, 2025
  3. MARP.png
    MARP: A Cooperative Multi-agent DRL System for Connected Autonomous Vehicle Platooning
    Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qing-Le Wang, and Long Cheng
    IEEE Internet of Things Journal, 2024
  4. DataCompression.png
    Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management
    Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, and Long Cheng
    IEEE Internet of Things Journal, 2023