About Me

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He is a postdoctoral researcher at Max Planck Institute (MPI-DCTS), Magdeburg, Germany, and currently working with Prof. Dr. Peter Benner. In 2018, he received his Ph.D. degree in the field of applied mathematics in his group as well.

He was awarded the prize for the best Ph.D. thesis within the Faculty of Mathematics by the Otto von Guericke University Magdeburg, Germany, and he was also awarded Dr. Klaus Körper prize by GAMM for his excellent Ph.D. thesis in the field of Applied Mathematics and Mechanics.

Broadly speaking, he is a numerical analyst and data scientist. His main research interests include data-driven identification and reduced-order modeling of dynamical systems, image reconstruction, and compressive sensing [more detail]. He is currently a part of Max Planck research network on big data-driven material science (BiGmax) as well.

Research Interests

  • Data-driven learning of dynamical process
  • Dimensionality reduction and model-order reduction
  • Fast image reconstruction in computed tomography using deep learning
  • Algorithm development for image denoising and image completion problems
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