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I’m a researcher at Nokia Bell Labs. My research focuses on signal processing and machine learning for wireless communications. Read more about me here.
(On Sep 20, 2024) It was a pleasure to attend the 32nd European Signal Processing Conference 2024 (EUSIPCO) in Lyon, France, August 26-30, where I presented the paper Oracle approximating shrinkage covariance matrix estimators for complex elliptical distribution. The paper generalizes the popular Oracle Approximating Shrinkage (OAS) method by Chen et al. (2010) to complex elliptical (including complex Gaussian) distributions and robust shrinkage M-estimators of scatter matrix.
(On Mar 14, 2023) I feel honored and grateful to have received the Aalto University Doctoral Thesis Award 2023.
(On Aug 8, 2022) I’m excited to start in my new job as a Radio Research Engineer/Scientist at Nokia Bell Labs, Espoo, Finland.
(On May 27, 2022) I successfully defended my thesis Contributions to theory and estimation of high-dimensional covariance matrices. The thesis proposes theory and methods for covariance matrix estimation, when the sample size is smaller than or comparable to the dimension of the data.
(On Oct. 6, 2021) I delivered a talk On high-dimensional covariance matrix estimation for multiple classes at Statistical Learning for Signal and Image Processing (SLSIP) Workshop, Rüdesheim am Rhein, Germany, October 6th – 8th, 2021.
(On Dec. 18, 2020) Prof. Esa Ollila delivered a talk about our work Linear Pooling of Sample Covariance Matrices in a virtual seminar at DataIA institute of University of Paris-Saclay. Check the [video] and [slides].