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I am third year Ph.D. student at the ECE department at Rice University, advised by Santiago Segarra. My primary research goal is to develop computationally efficient methods to solve inverse problems. In particular, I am interested in developing accelerated diffusion models. In the last two years I have been working in inverse problem in communications using annealed overadamped Langevin diffusion, and its higher-order versions (underdamped and generalized). Also, I have been doing research in algorithm unfolding and its application to Particle filter.
News
Nov 2023 Successful Master defense, entitled Annealed Langevin dynamics for MIMO communications
Nov 2023 Preprint of Joint channel estimation and data detection in massive MIMO systems based on diffusion models
Oct 2023 Paper Unsupervised Learning of sampling distributions for Particle filters accepted at IEEE transactions on Signal Processing
May 2023 Preprint of Solving linear inverse problems with Higher-order Annealed Langevin dynamics
Feb 2023 Paper accepted at ICASSP 2023 Accelerated massive MIMO detector based on annealed underdamped Langevin dynamics
Oct 2022 Paper Annealed Langevin Dynamics for Massive MIMO Detection accepted at IEEE transactions on Wireless Communications
May 2022 Two papers accepted at EUSIPCO 2022.
January 2022 One paper accepted to ICASSP 2022.