Papers
3
Total Citations
14
H-Index
2
About
Tianhao Wang is a rising researcher at the intersection of robotics, privacy, and reinforcement learning. His work addresses critical challenges in secure autonomous systems and multi-agent decision-making. Wang’s most impactful contribution, “PrivShieldROS” (7 citations), pioneers the integration of Ethereum blockchain and InterPlanetary File System with the Robot Operating System to protect sensitive vision sensor data in high-privacy fields like medical care and security monitoring. In security-critical AI, his paper “Baffle” (5 citations) exposes a novel vulnerability in offline reinforcement learning by demonstrating how backdoors can be hidden within pre-collected datasets, alerting the community to new supply-chain risks. Wang also advances multi-agent systems with his 2025 work on incremental goal-enhanced methods for sparse reward tasks, enabling more efficient coordination among agents. His research uniquely bridges distributed ledger technology, adversarial machine learning, and robotic autonomy, earning recognition for both foundational security insights and practical system design. With a growing citation trajectory and contributions to three distinct subfields, Wang is establishing himself as a versatile researcher shaping the future of trustworthy and privacy-preserving autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets5 citations · 2024
- 3