Giảng viên, AVITECH
Le Trung Thanh received his B.Sc. and M.Sc. degrees both in Electronics and Communications from Vietnam National University Hanoi, VNU-UET, in 2016 and 2018 respectively, and his Ph.D. degree in Computer Science and Signal Processing from the University of Orléans, INSA CVL, PRISME in 2022. He was a postdoctoral researcher at the University of Orléans from 2022 to 2023. Currently, he is with the AVITECH Institute, VNU University of Engineering and Technology, Vietnam National University, Hanoi.
Research: His research interests include subspace estimation and tracking, tensor decomposition and tracking, system identification, and biomedical signal processing.
Selected Publications:
[1] L.T. Thanh, K. Abed-Meraim, N. L. Trung, & A. Hafiane. OPIT: A Simple but Effective Method for Sparse Subspace Tracking in High-dimension and Low-sample-size Context. IEEE Transactions on Signal Processing (TSP), 2024.
[2] L.T. Thanh, K. Abed-Meraim, N. L. Trung, & A. Hafiane. A Novel Recursive Least-Squares Adaptive Method For Streaming Tensor-Train Decomposition With Incomplete Observations. Signal Processing (SP), 2024.
[3] L.T. Thanh, K. Abed-Meraim, N. L. Trung, & A. Hafiane. A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
[4] L.T. Thanh, K. Abed-Meraim, N. L. Trung, & A. Hafiane. Robust Tensor Tracking with Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis. IEEE Transactions on Signal Processing (TSP), 2022.
[5] L.T. Thanh, N.V. Dung, N. L. Trung, & K. Abed-Meraim. Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee. IEEE Transactions on Signal Processing (TSP), 2021.
[6] L.T. Thanh, K. Abed-Meraim, & N. L. Trung. Misspecified Cramer-Rao Bounds for Blind Channel Estimation under Channel Order Misspecification. IEEE Transactions on Signal Processing (TSP), 2021.
More information
Email: thanhletrung@vnu.edu.vn // thanhle88.tbt@gmail.com
Website: https://thanhtbt.github.io/