news

Dec 21, 2024 Our work Incremental Hierarchical Tucker Decomposition is out accessible on arXiv!
Nov 24, 2024 The new website is under construction. Hopefully it will be done soon!
Jul 26, 2024 I presented our preliminary work on Incremental tensor decompositions for building efficient digital twins at 2024 World Congress on Computational Mechanics in Vancouver, BC.
Jun 21, 2024 Our paper titled Compressed Analysis of Electric Propulsion Simulations using Low Rank Tensor Networks is published at International Electric Propulsion Conference 2024!
May 31, 2024 I presented our work on Incremental Tensor Decompositions for Compressing Image-Based Data Streams at SIAM Conference on Imaging Sciences 2024 in Atlanta, GA.
Mar 26, 2024 Our paper “An Incremental Tensor Decomposition Algorithm” is published at SIAM Journal on Scientific Computing with a reproducibility badge!
Mar 10, 2024 Our paper titled Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning is published at Transactions on Machine Learning Research!
Mar 04, 2024 I gave an invited talk titled “Leveraging incremental tensor decompositions in Bayesian inference and machine learning” at ETH Zurich Automatic Control Laboratory (IfA).
Mar 02, 2024 I presented our preliminary work on Enabling Bayesian Optimal Experimental Design for High-Dimensional Systems with Incremental Tensor Decompositions at SIAM Conference on Uncertainty Quantification in Trieste, Italy.
Nov 13, 2023 My poster An Incremental Tensor-Train Decomposition for High-Dimensional Data Streams won the Best Reproducibility Award at 2023 MIDAS Annual Data Science and AI Summit 2023!
Aug 07, 2023 I was selected as one of the 2023-2024 MICDE Graduate Fellows!
Mar 24, 2023 I presented our preliminary work on An Approach for Optimal Sensor Placement with Incremental Tensor-Train Decomposition at 17th U.S. National Congress on Computational Mechanics in Albuquerque, New Mexico.
Mar 24, 2023 My poster An Incremental Tensor-Train Decomposition for High-Dimensional Data Streams won the second place at 2023 MICDE Annual Symposium Poster Competition!
Mar 02, 2023 I presented a poster An Incremental Tensor-Train Decomposition for High-Dimensional Data Streams SIAM Conference on Computational Science and Engineering in Amsterdam, The Netherlands.
Nov 22, 2022 Our work An Incremental Tensor Train Decomposition Algorithm is out accessible on arXiv!
Sep 26, 2022 I presented our preliminary work on Incremental Tensor Train Decomposition for Compression and Approximation of High-Dimensional Streaming Datasets at SIAM Conference on Mathematics of Data Science in San Diego, CA.
Aug 05, 2022 I presented our preliminary work on A Deep-Learning-Based Inverse Design Framework Using Compressed Simulation Data for Self-Oscillating Gels at World Congress on Computational Mechanics virtually.
May 10, 2022 I passed the research preliminary exam!
Apr 14, 2022 I presented our preliminary work on A Deep-Learning-Based Inverse Design Framework Using Compressed Simulation Data for Self-Oscillating Gels at SIAM Conference on Uncertainty Quantification in Atlanta, GA.
Jan 22, 2022 Our work “Inverse design of self-oscillating gels through deep learning” at Neural Computing and Applications!
Dec 04, 2020 I passed the coursework preliminary exam and advanced to candidacy!
Aug 30, 2020 I started my PhD at University of Michigan under the Department of Aerospace Engineering!
Jul 01, 2020 I presented our work “A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling” together with Efe Balta at American Controls Conference 2020
Jan 17, 2020 Our work “A Control-Oriented Model for Bead Cross-Sectional Geometry in Fused Deposition Modeling” together with Efe Balta while working at BRG is accepted to American Controls Conference 2020