Welcome!

Hi! I’m Doruk (pronounced similar to “dough-rook”, check this link for how it actually sounds), a PhD student working with Alex Gorodetsky under Department of Aerospace Engineering at University of Michigan. I work on tensor decompositions, tensor networks and their appliactions in learning.

This website will (or should..) contain information on both my personal and professional life. I will try to keep this page as up-to-date as possible. You can find my talks, my publications and (if I’m not lazy) my hobbies here.

Some (Professional) Life Updates

July 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.
March 2023	My poster An Incremental Tensor-Train Decomposition for High-Dimensional Data Streams won the second place at 2023 MICDE Annual Symposium Poster Competition!
March 2023	I presented a poster An Incremental Tensor-Train Decomposition for High-Dimensional Data Streams at SIAM Conference on Computational Science and Engineering in Amsterdam, The Netherlands.
November 2022	Our work An Incremental Tensor Train Decomposition Algorithm is out accessible on arXiv!
October 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.
August 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 2022	I passed the research preliminary exam!
April 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.
January 2022	Our work A Deep-Learning-Based Inverse Design Framework Using Compressed Simulation Data for Self-Oscillating Gels is published at Neural Computing and Applications!
December 2020	I passed the coursework preliminary exam and advanced to candidacy!
August 2020	I started my PhD at University of Michigan under the Department of Aerospace Engineering!
July 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 virtually.
January 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.