Shuhong Dai

I am currently a Ph.D. student in the Edge AI Group at the University of Innsbruck, working under the supervision of Prof. Radu Prodan. My research mainly focuses on distributed systems and agentic AI.

I received my Master’s degree in Software Engineering 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 operating systems.

latest posts

Oct 15, 2026	How Defensively Two LLMs Answered a TikTok Video on EU Battery Rules
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

selected videos

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

selected publications

LLM-Assisted Multi-Agent Reinforcement Learning for Low-Carbon Intelligent Transportation Systems

S. Dai , X. Wu , J. Nian , C. Liu , F. Fang , K. Makantasis , G. Theodoropoulos , and L. Cheng

IEEE Transactions on Intelligent Transportation Systems, 2026
Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems

S. Dai , N. Saurabh , Q. Wang , J. Nian , S. Kan , Y. Mao , and L. Cheng

IEEE Systems Journal, 2025
MARP: A Cooperative Multi-Agent DRL System for Connected Autonomous Vehicle Platooning

S. Dai , S. Li , H. Tang , X. Ning , F. Fang , Y. Fu , Q. Wang , and L. Cheng

IEEE Internet of Things Journal, 2024
Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management

X. Chen , Q. Yu , S. Dai , P. Sun , H. Tang , and L. Cheng

IEEE Internet of Things Journal, 2023