Dr Hoa Van Nguyen
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 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.
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Appointments
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 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
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Journals
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.
Scopus5 WoS3 Europe PMC22019 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.
Scopus4 WoS32019 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.
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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. 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.
Scopus12018 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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