Huy Pham’s Homepage

 

Huy Pham

Ph.D. Student

 

 

 

 

 

 

Contact Information

  • Lab Phone: (775) 682-5490
  • Office: ARF118

Degrees

  • M.S., Industrial & Systems Engineering, University of Oklahoma, Norman, OK, USA, 2015
  • B.S., Control Engineering and Automation, Hanoi University of Science and Technology, Vietnam, 2011

Biography

Huy Pham joined the ARA Lab at the Department of Computer Science and Engineering at the University of Nevada, Reno as a Ph.D. Student in Spring 2017.

Research Interests

  • Robotics
  • Control Systems
  • Multi-UAV+UGV Systems

Publications

Journals:

[2] S. Gibb, H. M. La, T. Le, L. Nguyen, R. Schmid, and H. Pham. Non-Destructive Evaluation Sensor Fusion with Autonomous Robotic System for Civil Infrastructure Inspection. Journal of Field Robotics, April 2018. DOI:10.1002/rob.21791.  Impact Factor: 4.882. (In press) Demonstration Video.

 [1] H. X. Pham, H. M. La, D. Feil-Seifer, and M. Deans. A Distributed Control Framework for Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking. IEEE Transactions on Systems, Man and Cybernetics: Systems, April 2018. Impact Factor: 2.35.

Conferences:

[4] L. Nguyen , S. Gibb, H. X.  Pham, and H. M. La*. A Mobile Robot for Automated Civil Infrastructure Inspection and Evaluation. Proceedings of the 16th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), August 6-8, 2018, Philadelphia, PA, USA.

[3] H. X.  Pham, H. M. La*, D. Feil-Seifer, and L. Nguyen. Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation. Proceedings of the 16th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), August 6-8, 2018, Philadelphia, PA, USA.

[2] H. X. Pham, H. M. La, D. Feil-Seifer, and L. V. Nguyen. Performance Comparison of Function Approximation-based Q Learning Algorithms for Autonomous UAV Navigation. The 15th International Conference on Ubiquitous Robots (UR), June 26-30, Hawaii, USA.

[1] H. X. Pham, H. M. La, D. Feil-Seifer, and M. Deans. A Distributed Control Framework for a Team of Unmanned Aerial Vehicles for Dynamic Wildfire Tracking. In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 24-28, 2017, Vancouver, Canada. PDF