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.
15//03/2020: Fast and efficient simulations are vital in finance. Hence, in our recent work, we have proposed a methodology to build surrogate low-dimensional models of high-dimensional models to speed-up the simulations. ArXiv preprint is available on this work, please see here.
12//03/2020: Our work towards image recovery has been submission for a computer vision conference. The paper title is "Low-Rank and Total Variation Regularization and Its Application to Image Recovery" and a preprint of the paper can be found here.
22//02/2020: We have submitted our work on operator inference for nonlineaer system that allows us identify operators of a nonlinear system using data. Please find arXiv preprint of the paper here.
19/02/2020: I was invited to give a talk at the workshop: Mathematics for Reduced-Order Models at ICERM, Brown Univeristy, Providence, USA. I gave a presentation, titled "Rank Minimization Approach to Learning Dynamical Systems from Data". The slides and video can be here.
31/10/2019: Towards (structured) system identification and arising intersest in port-Hamiltonian systems due to its vast applications in physics and engineering, in our new preprint, we have proposed an algorithm to identify such systems from an exprimental data (frequency response). The title of the paper is "Identification of Port-Hamiltonian Systems from Frequency Response Data" and is now avaiable on arXiv.
30/10/2019: We have submitted our new work, where we have proposed a simple yet very powerful algorithm, so-called "DROP" to determine low-dimensional models for structured parametric systems. The title of the paper is "Identification of Dominant Subspaces for Linear Structured Parametric Systems and Model Reduction" and is now avaiable on arXiv.
15/10/2019: I was invited to give a talk in the workshop "Machine Learning and Data-Driven Methods for Model Reduction and Control", Shanghai, China. I presented our work on identification of structral dynamics via frequency respose data.
02/10/2019: We have recently submitted an intersting article on identification of a class of second-order systems, appearing, e.g., in vibrational and structral engineering. It is entitled "Data-Driven Identification of Rayleigh-Damped Second-Order Systems" is now avaiable on arXiv.
10/09/2019: Our recent paper, entitled "Gramians, Energy Functionals and Balanced Truncation for Linear Dynamical Systems with Quadratic Outputs" is now avaiable on arXiv.
28-30/08/2019: I have given a talk, entitled "Automatic generation of minimal and reduced models for structured and nonlinear parametric dynamical systems" at "4th Workshop on Model Reduction of Complex Dynamical Systems - MODRED 2019 -", Graz, Austria.
15-19/07/2019: I and Martin Redmann organised a minisymposium on "Recent advances in model reduction for nonlinear and stochastics systems" at "The International Council for Industrial and Applied Mathematics", Valencia, Spain.
10/05/2019: I have given a talk, entitled "3D image reconstruction using SAXS tomography and applications to bone" at "Identification, simulation and control of complex dynamical systems from Data", Schloss Ringberg, Tegernsee, Germany.
30/04/2019: We have submitted a research article, entitled "Interpolation-Based Model Order Reduction for Polynomial Parametric Systems". The article is currently available as arXiv preprint [click here].
18/04/2019: Our paper, entitled "Balanced Truncation for a Special Class of Bilinear Descriptor Systems" has been published online in IEEE Control Systems Letters.
16/04/2019: I have given a talk, entitled "3D image reconstruction for bio-materials" at "BiGmax Workshop 2019 on Big-data-driven Materials Science", Dresden, Germany.
22/03/2019: I have been awarded Dr.-Klaus-Korper Prize by GAMM (Gesellschaft für Angewandte Mathematik und Mechanik e.V. / International Association of Applied Mathematics and Mechanics) for an excellent Dissertation in the field of applied Mathematics and Mechanics [more details].
14/03/2019: I gave a talk, entitled "Reduced-Order Modeling for Structured and Nonlinear Parametric Systems" at MIT Aerospace Computational Design Laboratory , Dept. of Aeronautics Astronautics Massachusetts Institute of Technology, Cambridge, USA.
08-17/03/2019: I was invited to visit Prof. Dr. Karen Willcox's research group at Massachusetts Institute of Technology (MIT), Cambridge, USA.
03-07/03/2019: I was invited to visit Prof. Dr. Karen Willcox's research group at Univesity of Texas, Austin, USA.