Nguyen Thi Dieu Linh

Nguyen Thi Dieu Linh , Ph.D. is Dy. Head of Science and Technology Department, Hanoi University of Industry, Vietnam (HaUI). She has more than 20 years of academic experience in Electronics, IoT, Smart Garden and Telecommunication. She has authored or co-authored many research articles that are published in journals, books and conference proceedings. She teaches graduate & post graduate level courses at HaUI, Viet Nam. She is Editor for many Books such as: “Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches” and “Distributed Artificial Intelligence: A Modern Approach” publisher by Taylor & Francis Group, LLC, USA; “ Intelligent System and Networks – Selected Articles from ICISN 2021, Vietnam” publisher by Springer Singapore, index by Scopus. Author/Editor for “Data Science and Medical Informatics in Healthcare Technologies” publisher by Springer Singapore, index by Scopus. She is also board member with International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) and some other reputed journal and international conferences. She has attended to many conferences as Keynote Speaker, Session Chair and Guest Honor. Apart that She has chaired many technical events in different universities in Viet Nam. She worked actively as chair in The International Conference on Intelligent Systems & Networks -ICISN 2021 and ICISN 2022, 2023 ; International Conference on Research in Management and Technovation (ICRMAT 2021, 2022, 2023). She is the organizing chair for the International Conference on Intelligent Systems & Networks, (ICISN 2024); International Conference on Research in Management and Technovation (ICRMAT 2024).

Publications

A Hybrid Reinforcement Learning and PSO Approach for Route Discovery of Flying Robots
A Hybrid Reinforcement Learning and PSO Approach for Route Discovery of Flying Robots
Ritu Maity, Ruby Mishra, Prasant Kumar Pattnaik, Nguyen Thi Dieu Linh. © 2023. 14 pages.
Route discovery for flying robots is one of the major concerns while developing an autonomous aerial vehicle. Once a path planning algorithm is built and the flying robot reaches...