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Patrick Sun

Peng "Patrick" Sun

Assistant Professor

Phone: 407-823-1206
Office: ENG II, Room 402

Peng Sun received his doctoral degree from Rice University, his master’s degree in earthquake/civil engineering and his bachelor’s degree in civil engineering from Southeast University in China.

His research interests include unmanned aerial vehicle-based remote sensing for smart cities applications, infrastructural/structural sensing using photogrammetry and computer vision, cyber-physical-social system-enabled sensing frameworks for urban planning, structural health monitoring for large-scale infrastructures, thin-film-based full-field strain sensors using smart materials, and computer vision sensing systems with edge-computing for connected communities. His research has been supported by the FDEP Hinkley Center for Solid and Hazardous Waste Management, the Florida Department of Transportation, industry sponsors and other sources. Sun currently supervises three doctoral students and one master’s student.

  • UAV-based remote sensing for smart city applications
  • Structural evaluation and inspection using robotics and computer vision
  • Multi-vision photogrammetry for experimental mechanics and structural dynamics
  • Structural health monitoring for large-scale infrastructures
  • Cyber-physical-social system enabled sensing frameworks for urban planning
  • Thin-film-based full-field strain sensors using smart materials
  • Hassan, S. Z., Sun, P.*, Gokgoz, M., Chen, J., & Gustitus-Graham, S. (2023). “UAV-based Approach for Municipal Solid Waste Landfill Monitoring and Water Ponding Issue Detection using Sensor Fusion.” Journal of Hydroinformatics, 25(6), 2107-2127.
  • Goodspeed R, Admassu K, Bahrami V, Bills T, Egelhaaf J, Gallagher K, Lynch J, Masoud N, Shurn T, Sun P, Wang Y. (2023) “Improving Transit in Small Cities through Collaborative and Data-driven Scenario Planning.” Case Studies on Transport Policy. 2023 Jan 20:100957.
  • Sun, P., Hou, R, & Lynch, J. P. (2022) “Automated human use mapping of social infrastructure by deep learning methods applied to smart city camera systems.” ASCE Journal of Computing in Civil Engineering, 36 (4), 04022011, DOI: 10.1061/(ASCE)CP.1943-5487.0000998.
  • Li, Y., Sun, P., Deng, Y., & Li, A. (2021) Wind effect analysis of a high-rise ancient wooden tower with a particular architectural profile via wind tunnel test.” International Journal of Architectural Heritage, 1-20.
  • Chen, X., Zhang, Z., Li, A., Hu, L., Liu, X., Fan, Z., Sun., P. (2021) “Field measurement-based wind-induced response analysis of multi-tower building with tuned mass damper.” Wind and Structures, 32 (2).
  • Bruce Deal and Andy Grove Young Author Award, The Electrochemical Society 2017
  • SCI Transdisciplinary Symposium Award, Rice University 2016
  • ASNT Student Travel Award, American Society for Nondestructive Testing 2016
  • Best Award in CEVE/MECH/MSNE of Rice Research Screech Competition, Rice University, 2015
  • NSF Award for the 2013 Asia-Pacific Summer Program, National Science Foundation 2013
  • Third prize for the 2013 Asia-Pacific Summer Program, ANCRiSST 2013
  • American Society of Civil Engineers 
  • Institute of Electrical and Electronics Engineers 
  • American Society for Nondestructive Testing 
  • The Electrochemical Society 
  • CGN 3501C: Civil Engineering Materials
  • EGN 3331C: Mechanics of Materials
  • CES 6876: Smart City Built Infrastructure
  • EGN 3310: Engineering Analysis: Statics

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