Postdoctoral Research Fellow
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
My main research is about using the stochastic control theory for multi-agent planning to track multiple objects.
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.
Date Position Institution name 2020 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 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
Year Citation 2019 Do, C., & Nguyen, H. (2019). Tracking multiple targets from multistatic doppler radar with unknown probability of detection. Sensors (Switzerland), 19(7), 17 pages.
DOI Scopus5 WoS3 Europe PMC2
2019 Nguyen, H., Chesser, M., Koh, L., Rezatofighi, S. H., & Ranasinghe, D. (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 Scopus4 WoS3
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 Scopus3 WoS2
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. 2018 Van Nguyen, H., Chesser, M., Chen, F., Rezatofighi, S., & Ranasinghe, D. (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.
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. 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.
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.
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