CV
About Me
PhD researcher focusing on matrix and tensor decompositions for data compression, data completion, and their applications in quantum state tomography and spatiotemporal pattern mining.
Education
- Ph.D. in Engineering Science (Electrical Engineering), KU Leuven, Belgium, 2023 – Present
- Topic: Numerical algorithms for tensor decompositions and applications
- Advisor: Prof. Lieven De Lathauwer; Co-Advisor: Prof. Fatemeh Mohammadi
- M.Sc. in Data Science, Skoltech, Moscow, Russia, 2020 – 2022
- Thesis: Spatiotemporal forecasting with application to the weather forecast
- Advisor: Prof. Ivan Oseledets, Co-Advisor: Dr. Rukhsan Ul Haq
- GPA: 4.7/5
- B.Tech in Electrical Engineering, IUST, India, 2015 – 2019
- Thesis: Energy-Based Modeling of DC-DC Power Converters
- Advisor: Dr. Shahkar Ahmad Nahvi
- GPA: 9.18/10
Publications
Talks
Tensor completion in TT format from structured fiber samples
Poster at 11th Workshop on Matrix Equations and Tensor Techniques (METT XI), Dept. of Electrical Engineering (ESAT), KU Leuven, Belgium
Block Tensor Train Approach for Compressed Sensing Quantum State Tomography
Poster at iBOF study day: Tensor Tools for Taming the Curse, Dept. of Electrical Engineering (ESAT), KU Leuven, Belgium
Tensor train quantum state tomography using compressed sensing
Conference proceedings talk at 33rd European Signal Processing Conference (EUSIPCO 2025), Isola delle Femmine – Palermo, Italy
Tensor train completion of multiway data observed in a single mode and QST
Talk at The 26th Conference of the International Linear Algebra Society (ILAS2025), NSYSU, Kaohsiung, Taiwan
Tensor completion methods
Talk at The Flanders AI Research (FAIR) Day, Wintercircus Ghent, BE
Tensor train completion of multi-way data observed along one mode
Conference proceedings talk at 32nd European Signal Processing Conference (EUSIPCO 2024), Lyon, France
Image segmentation with topological priors
Conference proceedings talk at 2023 IEEE High Performance Extreme Computing Conference (HPEC), Online