Lecturer, Faculty of Electronics and Telecommunications.
Pham Duy Hung is currently a lecturer at Faculty of Electronics and Telecommunications, VNU-University of Engineering and Technology, and also is a member of The More-Than-One Robotics Laboratory (www.morelab.org), University of Prince Edward Island, Charlottetown, PE, Canada. He received the B.Sc, M.Sc, and Ph.D degree in Electronics and Telecommunications (Robotics) from VNU-University of Engineering and Technology, Hanoi, Vietnam in 2003, 2006 and 2020, respectively. He worked as a post-doctoral researcher at University of Prince Edward Island, Canada in 2019. His current research interests include Multi-Robot Systems/Robot Swarm with an emphasis on distributed control for networked multi-robot systems, deployment, exploration, coverage, and multiple target tracking.
Selected Publications
[1] Pham Duy Hung, Tran Quang Vinh, and Ngo Trung Dung (2020), “Hierarchical distributed control for global network integrity preservation in multi-robot systems,” In IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1278-1291, March 2020; doi: 10.1109/TCYB.2019.291332611.
[2] Pham Duy Hung, La Manh Hung, Trung Dung Ngo (2020), “Adaptive Hierarchical Distributed Control with Cooperative Task Allocation for Robot Swarms”, 2020 IEEE/SICE International Symposium on System Integration (SII), Honolulu, HI, USA, 2020, pp. 1300-1305, doi: 10.1109/SII46433.2020.9026229.
[3] Pham Duy Hung, Tran Quang Vinh, Trung Dung Ngo (2017), “An Online Distributed Boundary Detection and Classification Algorithm for Mobile Sensor Network”, REV Journal on Electronics and Communication, Vol 7, No. 1-2, January-June, 2017, pp.29-36.
[4] Pham Duy Hung, Tran Quang Vinh, Trung Dung Ngo (2016), Distributed Coverage Control for Networked Multi-Robot Systems in Any Environments, IEEE International Conference on Advanced Intelligent Mechatronics, July 12-15, 2016, Banff, Canada, pp. 1067-1072.
[5] Pham Duy Hung, Tran Quang Vinh, and, Trung Dung Ngo (2016), A Scalable Decentralised Large-scale Network of Mobile Robots for Multi-Target Tracking, In Intelligent Autonomous Systems 13, 2194-5357, vol. 302, Springer International Publishing, ISBN 978-3-319-08338-4, 2016, pp. 621-637.