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 |