I am currently a Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University.
I completed my PhD in June 2020 at the School of Computer Science, the University of Adelaide. I'm working on using commercial drones (so-called UAVs) to search, localise and track multiple, time-varying and unknown number of mobile objects. I'm focusing on developing a smarter algorithm to navigate UAVs to search and localise mobile objects in the shortest time as possible with reasonable accuracy.
I received the B.E. degree in 2012 in electrical engineering from Portland State University, Oregon, U.S.A. I worked as a process engineer and data science engineer at Intel Products Vietnam, Ho Chi Minh City, Vietnam, from 2012-2016.
Research Interests:
Robotics.
Signal processing.
Bayesian filtering and estimation.
Multi-object tracking.
Multi-agent path planning.
System identification and condition monitoring.
News:
09/2021: Our work on robust multi-sensor tracking has been accepted to SP.
08/2021: Our work on an efficient Resampler on GPU has been accepted to DSP.
07/2021: Our work on distributed multi-object tracking under limited FoV sensors has been accepted to TSP.
07/2020: Our work on a fully autonomous TrackerBots to track radio-tagged targets has been accepted to IROS 2020.
05/2020: Our work on an efficient unknown input estimation method has been accepted to FUSION 2020.
03/2020: My Thesis entitled "Methods for Online UAV Path Planning for Tracking Multiple Objects" has been submitted.
11/2019: Our work on multi-agents control has been accepted to AAAI 2020.
08/2019: Our work on track-before-detect for radio-tagged objects has been accepted to TSP.
11/2018: Our work about our TrackerBots system has been accepted to JoFR.
10/2018: Our work on 3D tracking for radio-tagged targets has been accepted to ACRA 2018.
09/2018: Our demo work of our TrackerBots system has been accepted to Sensys 2018.
Academic Services:
I am a reviewer for the following venues:
IEEE Transactions on Signal Processing (TSP)
IEEE Transactions on Aerospace and Electronic Systems (TAES)
IEEE Transactions on Vehicular Technology (TVT)
Journal of Field Robotics (JoFR)
IEEE Robotics and Automation Letters (RA-L)
IEEE International Conference on Robotics and Automation (ICRA)
Other profiles:
Awards:
06/2020: Dean's Commendation for Doctoral Thesis Excellence. See my thesis here.
07/2016: University of Adelaide International Wildcard Scholarship. A full scholarship for Ph.D. students.
03/2016: Intel Factory Recognition Award. In recognition for the success of customer audit.
10/2015: Intel Factory Recognition Award. In recognition for enabling data visualisation solutions.
09/2015: Intel Manufacturing Excellence Conference. Best exhibitor award in automated operation.
06/2012: Summa Cum Laude. The first class honours for the undergraduate bachelor’s degree.
05/2012: Grand Prize Winner of Cornell Cup USA.
06/2010: Intel Vietnam Scholarship. One of twenty-four students among thousands of applicants received Intel Vietnam Scholarship to study in Portland State University.
Selected Publications:
Journal articles:
C.T. Do, T.T.D. Nguyen, and H. V. Nguyen. "Robust Multi-Sensor Generalized Labeled Multi-Bernoulli Filter." Signal Processing (2021): 108368.
J. A. Chesser, H. V. Nguyen, and D. C. Ranasinghe. "The Megopolis resampler: Memory coalesced resampling on GPUs." Digital Signal Processing (2021): 103261.
H. V. Nguyen, H. Rezatofighi, B.-N. Vo, and D. C. Ranasinghe. "Distributed multi-object tracking under limited field of view sensors". IEEE Transactions on Signal Processing, vol. 69, pp.5329-5344, Aug 2021. Code.
H. V. Nguyen, H. Rezatofighi, B.-N. Vo, and D. C. Ranasinghe, “Online UAV path planning for joint detection and tracking of multiple radio-tagged objects,” IEEE Transactions on Signal Processing, vol. 67, no. 20, pp. 5365–5379, Oct 2019. Demo Video.
C.-T. Do and H. V. Nguyen, “Tracking multiple targets from multistatic doppler radar with unknown probability of detection,” Sensors, vol. 19, no. 7, p. 1672, Apr 2019.
H. V. Nguyen, M. Chesser, L. P. Koh, H. Rezatofighi, and D. C. Ranasinghe, “TrackerBots: Autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals,” Journal of Field Robotics, vol. 36, no. 3, pp. 617–635, Jan 2019. Code. Demo Video.
Conference articles:
H. V. Nguyen, F. Chen, J. Chesser, H. Rezatofighi, and D. C. Ranasinghe, “LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Las Vegas, USA, Oct 2020. Code. Demo Video.
H. V. Nguyen, D. C. Ranasinghe, A. Skvortsov, S. Arulampalam, “Computationally efficient methods for estimating unknown input forces on structural systems,” in the 23rd International Conference on Information Fusion, Virtual Conference, July 2020. My Talk.
H. V. Nguyen, H. Rezatofighi, B.-N. Vo, and D. C. Ranasinghe, “Multi-objective multi-agent planning for jointly discovering and tracking mobile objects,” in the 34th AAAI Conference on Artificial Intelligence (AAAI-2020), NY, U.S.A, Feb 2020. Demo Video.
H. V. Nguyen, H. Rezatofighi, D. Taggart, B. Ostendorf, and D. C. Ranasinghe, “TrackerBots: software in the loop study of quad-copter robots for locating radio-tags in a 3D space,” in the Australasian Conference on Robotics and Automation, Lincoln, NZ, Dec 2018, pp. 304–313. Code. Demo Video.
H. V. Nguyen, M. Chesser, F. Chen, H. Rezatofighi, and D. C. Ranasinghe, “Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife,” in the 16th ACM Conference on Embedded Networked Sensor Systems. Shenzhen, China, Nov 2018, pp. 333–334.
Contact:
School of Electrical Engineering, Computing and Mathematical Sciences,
Faculty of Science & Engineering ,
Curtin University.
Email: Put @curtin.edu.au after hoa.v.nguyen