Tian He

University of Minnesota

Papers

3

Total Citations

168

H-Index

3

About

Tian He is a leading researcher in wireless sensor networks, cyber-physical systems, and mobile computing, with a focus on robust and efficient algorithms for real-world deployments. His major contributions center on developing reliable tracking and communication protocols that function effectively despite unreliable hardware and dynamic environments. His seminal work, "Tracking with Unreliable Node Sequences" (2009, 90 citations), introduced a novel framework that extracts ordered node sequences from noisy sensor readings to accurately track mobile targets, addressing critical challenges like environmental noise and sensing irregularity. This approach has become foundational for robust target tracking in sensor networks. He further advanced the field with "Robust and timely communication over highly dynamic sensor networks" (2007, 66 citations), which tackled the problem of maintaining reliable data delivery in networks with rapidly changing topologies. His research on "Gradient-based target localization in robotic sensor networks" (2008, 12 citations) also contributed to precise localization in autonomous systems. With over 168 citations across his most-cited works, He’s impact is evident in his ability to bridge theory and practice, creating solutions that are both theoretically sound and practically deployable. His work continues to inspire new generations of researchers in resilient networked systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
168
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Tracking with Unreliable Node Sequences
90 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Minnesota

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago