Contact Information
- Phone: (775) 682-5490
- Email: chuongl@unr.edu
- Office: William N. Pennington Engineering Building (WPEB) 203
Degrees
- Ph.D. Computer Science and Engineering, University of Nevada, Reno, 2022-2026
- B.S. Computer Science, University Of Oklahoma, 2017-2021
Biography
Chuong Le joined the ARA Lab at the Department of Computer Science and Engineering at the University of Nevada, Reno as a PhD student in Spring 2022. Chuong’s CV
Research Interests
- Autonomous robotic systems
- Multi-robot system
- Deep Learning
Teaching Experience
University of Nevada, Reno:
- CPE470/670: Autonomous Mobile Robots, Spring 2022, TA
- CPE201: Digital Design, Fall 2022, TA
- CS202: Computer Science II, Spring 2023, TA
- CS455/655:Mobile Sensor Networks, Spring 2024, Teacher
Publications
Conferences:
C. P. Le, H. M. La. A Real-time Multi-Camera Auto-Adjustment Framework for Infrastructure Inspections. 2024 SII. Jan 8-12, 2024. Hawaii, USA.
- T. Yasmin, C. Le and H. M. La. Deep Architecture Based Spalling Severity Detection System Using Encoder-Decoder Networks. The 17th International Symposium on Visual Computing (ISVC) , October 3-5, 2022, San Diego, CA, USA.
- H. Ahmed, S. T. Nguyen, D. La, C. P. Le and H. M. La. Multi-directional Bicycle Robot for Bridge Inspection with Steel Defect Detection System. The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo, Japan, October 23 – 27, 2022. (Best Application Paper Award Finalist)
- H-D. Bui, S. T. Nguyen, U-H. Billah, C. Le, A. Tavakkoli, H. M. La. Control Framework for a Hybrid-steel Bridge Inspection Robot. The 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Nevada, USA, October 25 – 29, 2020. Video Demo PDF
- C. Le, A. Q. Pham, H. M. La, D. Feil-Seifer. A Multi-Robotic System for Environmental Dirt Cleaning. The 12th IEEE/SICE International Symposium on System Integration (SII), January 12-15, 2020, Hawaii, USA. PDF
Journals:
- H. Ahmed, C. P. Le, and H. M. La. Pixel-level classification for bridge deck rebar detection and localization using multi-stage deep encoder-decoder network. Developments in the Built Environment, vol. 14, p. 100132, 2023. PDF
