Dr Hoa Van Nguyen

ARC Grant-Funded Researcher A

School of Computer Science

Faculty of Sciences, Engineering and Technology

My main research is about using the stochastic control theory for multi-agent planning to track multiple objects.

My Research
Career
Publications
Contact

I am currently a Postdoctoral Research Associate at the School of Computer Science, the University of Adelaide, working with Associate Professor Damith Ranasinghe.

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 radio-tagged wildlife. 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.

ORCID ID: 0000-0002-6878-5102

ResearcherID: N-6023-2016

Appointments

Date	Position	Institution name
2020 - ongoing	Postdoctoral Research Associate	University of Adelaide
2016 - 2016	Data Analyst	Intel (Vietnam), Ho Chi Minh
2015 - 2016	Data Scientist	Intel (Vietnam), Ho Chi Minh
2012 - 2014	Process & Equipment Engineer	Intel (Vietnam), Ho Chi Minh

Language Competencies

Language Competency
English Can read, write, speak, understand spoken and peer review
Vietnamese Can read, write, speak, understand spoken and peer review
Education

Date Institution name Country Title
2016 - 2020 University of Adelaide Australia PhD
2010 - 2012 Portland State University United States Electrical Engineering, Bachelor of Science
Research Interests

Adaptive Agents and Intelligent Robotics Manufacturing Robotics and Mechatronics Robotics and Automation Signal Processing

Language	Competency
English	Can read, write, speak, understand spoken and peer review
Vietnamese	Can read, write, speak, understand spoken and peer review

Date	Institution name	Country	Title
2016 - 2020	University of Adelaide	Australia	PhD
2010 - 2012	Portland State University	United States	Electrical Engineering, Bachelor of Science

Journals

Year	Citation
2022	Do, C. -T., Nguyen, T. T. D., & Nguyen, H. V. (2022). Robust multi-sensor generalized labeled multi-Bernoulli filter. Signal Processing, 192, 1-12. DOI Scopus2 WoS2
2022	Chesser, J. A., Nguyen, H. V., & Ranasinghe, D. C. (2022). The Megopolis resampler: Memory coalesced resampling on GPUs. Digital Signal Processing: A Review Journal, 120, 19 pages. DOI Scopus1 WoS1
2021	Nguyen, H. V., Rezatofighi, H., Vo, B. -N., & Ranasinghe, D. C. (2021). Distributed multi-object tracking under limited field of view sensors. IEEE Transactions on Signal Processing, 69, 5329-5344. DOI Scopus2 WoS2
2019	Do, C. T., & Nguyen, H. V. (2019). Tracking multiple targets from multistatic doppler radar with unknown probability of detection. Sensors (Switzerland), 19(7), 17 pages. DOI Scopus10 WoS9 Europe PMC4
2019	Nguyen, H. V., Chesser, M., Koh, L. P., Rezatofighi, S. H., & Ranasinghe, D. C. (2019). TrackerBots: autonomous unmanned aerial vehicle for real-time localization and tracking of multiple radio-tagged animals. Journal of Field Robotics, 36(3), 617-635. DOI Scopus15 WoS14
2019	Nguyen, H. V., Rezatofighi, H., Vo, B. -N., & Ranasinghe, D. C. (2019). Online UAV path planning for joint detection and tracking of multiple radio-tagged objects. IEEE Transactions on Signal Processing, 67(20), 5365-5379. DOI Scopus32 WoS24
	Nguyen, H. V., Vo, B. -N., Vo, B. -T., Rezatofighi, H., & Ranasinghe, D. C. (n.d.). Multi-Objective Multi-Agent Planning for Discovering and Tracking Unknown and Varying Number of Mobile Objects.

Conference Papers

Year	Citation
2020	Nguyen, H. V., Rezatofighi, H., Vo, B. -N., & Ranasinghe, D. C. (2020). Multi-Objective Multi-Agent Planning for Jointly Discovering and Tracking Mobile Objects.. In Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI) (pp. 7227-7235). USA: AAAI Press.
2020	Nguyen, H. V., Chen, F., Chesser, J., Rezatofighi, H., & Ranasinghe, D. (2020). LAVAPilot: lightweight UAV trajectory planner with situational awareness for embedded autonomy to track and locate radio-tags. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, as published in IEEE Explore Vol. abs/2007.15860 (pp. 2488-2495). online: IEEE. DOI Scopus1 WoS6
2020	Nguyen, H., Ranasinghe, D. C., Skvortsov, A., & Arulampalam, S. (2020). Computationally efficient methods for estimating unknown input forces on structural systems. In Proceedings of 23rd International Conference on Information Fusion (FUSION 2020) (pp. 749-756). online: IEEE. DOI
2020	Nguyen, H. V., Chen, F., Chesser, J., Rezatofighi, H., & Ranasinghe, D. (2020). LAVAPilot: Lightweight UAV Trajectory Planner with Situational Awareness for Embedded Autonomy to Track and Locate Radio-tags.. In IROS (pp. 2488-2495). online: IEEE.
2018	Nguyen, H., Rezatofighi, H., Taggart, D., Ostendorf, B., & Ranasinghe, D. (2018). TrackerBots: Software in the loop study of quad-copter robots for locating radio-tags in a 3D space. In Australasian Conference on Robotics and Automation, ACRA Vol. 2018-December (pp. 1-10). Online: Australasian Robotics and Automation Association. Scopus2
2018	Chesser, M., Chea, L., Van Nguyen, H., & Ranasinghe, D. (2018). bTracked: Highly accurate field deployable real-time indoor spatial tracking for human behavior observations. In MobiQuitous '18 Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (pp. 1-10). New York City, NY: Association for Computing Machinery. DOI Scopus2
2018	Do, C., & Nguyen, H. (2018). Multistatic Doppler-Based Marine Ships Tracking. In ICCAIS 2018 - 7th International Conference on Control, Automation and Information Sciences (pp. 151-156). online: IEEE. DOI Scopus1
2018	Van Nguyen, H., Chesser, M., Chen, F., Rezatofighi, S. H., & Ranasinghe, D. C. (2018). Demo abstract: Autonomous UAV sensor system for searching and locating VHF radio-tagged wildlife. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (pp. 333-334). Shenzhen, China: Association for Computing Machinery. DOI Scopus3

Position: ARC Grant-Funded Researcher A
Phone: 83134729
Email: hoavan.nguyen@adelaide.edu.au
Campus: North Terrace
Building: Ingkarni Wardli, floor 4
Org Unit: School of Computer Science

Dr Hoa Van Nguyen

Appointments

Language Competencies

Education

Research Interests

Journals

Conference Papers

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