Digital cyber twin for cooperative 6G environments
Hosted by SmartAvatar and enrolled in the Doctoral Program at TU Sofia.
More details:
Description of research
The research project aims to design capabilities of real-time Digital Twins (DTs) to enable trustworthy and reliable collection of data from millions of sensors in support of smart system optimization. The core objective is to develop a Zero Trust Data security model to ensure that sensor data communications with the DT are not tampered with and that the compute process is secure.
Short bio of DC
Tzu-Yu (Shirley) Tseng is from Taiwan and holds a Master’s and Bachelor’s degree in Computer Science and Information Engineering. Her research focuses on 5G and Non-Terrestrial Networks (NTNs) communication technologies, with a specific emphasis on beam acquisition and tracking for low-Earth orbit (LEO) satellite communication systems. During her master’s studies, she proposed a learning-based method combining a Kalman filter and a long short-term memory (LSTM) model to predict LEO satellite positions using two-line element (TLE) and global navigation satellite system (GNSS) information, aiming to improve tracking accuracy and reduce beam search time.
In addition to her academic background, Tzu-Yu completed a one-year internship at the Industrial Technology Research Institute (ITRI) in Taiwan, where she participated in patent design and simulation analysis for LEO satellite beam tracking enhancement mechanisms. Prior to her graduate studies, she accumulated approximately two years of industry experience working as an Assistant Engineer in Taiwan’s company. In these roles, she developed automated guided vehicle (AGV) dispatch systems and semiconductor equipment communications standard (SECS) software.
Simplified Summary
This page is about PhD student Tzu Yu Tseng. She researches at SmartAvatar and studies with TU Sofia.