Thuan D
- Research Program Mentor
DEng at Vietnam National University Ho Chi Minh City
Expertise
electrical engineering, biomedical engineering, computer science, computer engineering, AI, embedded systems, Internet of Things
Bio
Prior to joining academia, I worked as a senior engineer in the telecommunications industry at VinaPhone Mobile Network (VNPT Group) (2003-2009). I have pursued research on cutting-edge topics of electrical, computer, biomedical engineering for more than 20 years at both industry and academia. I was a founder and established a research group, called Wireless Communications Research Group in 2016. I am currently serving as an Associate Editor in 8 leading journals such as IEEE Transaction on Vehicular Technology (Top #2 in telecommunication field following JCR). I also served as a Lead Guest Editor/Guest Editor in Physical Communications, Annals of Telecommunications, etc. I have published more than 250 peer-reviewed papers and 7 books. I was the recipient of the 2015 Golden Globe Award by Ministry of Science and Technology (top 10 outstanding scientists nationwide). I also received Medal of Creative Young Talents in 2015. I was named in top 14 highly cited scientists in Asia University (Taiwan) in 2021 and was rewarded as the Best Editor of ICT Express journal in 2023. My research topics are Reconfigurable Intelligent Surfaces-Assisted networks, machine learning/Federated learning in wireless systems, communication networks, Internet of Things system, Embedded systems, computer security. I have two boys. My wife and I love to play soccer with them on the weekends.Project ideas
Design of autonomous car using tiny machine learning
1. Beginner research paper. I have worked with students to pursue projects related to machine learning-based Internet of Things. The rapid advancement of technology has led to the emergence of autonomous systems capable of performing various tasks with minimal human intervention. One such area of development is autonomous cars, where tiny machine learning (TinyML) can play a significant role. TinyML involves deploying machine learning models on resource-constrained devices, enabling real-time data processing and decision-making at the edge. This research proposal aims to investigate and develop autonomous cars using TinyML, with a focus on enhancing the quality of auto-driving and support for individuals in various contexts. You will create prototype and publish a conference paper.
Medical Devices to detect COVID-19 Patient Using Tiny Machine Learning Arduino Kit BLE 33
2. Advanced research paper. I have taught lots of undergrad students to apply machine learning to promising applications related to medical devices. The COVID-19 pandemic has highlighted the need for efficient and reliable methods to detect infected individuals. This project aims to develop a medical device utilizing the Tiny Machine Learning (TinyML) capabilities of the Arduino Nano 33 BLE Sense kit, to detect potential COVID-19 patients based on physiological data. The device will leverage Bluetooth Low Energy (BLE) for data transmission and real-time monitoring. You may create a prototype and publish results as a paper or a conference presentation.