CV
Contact Information
| Name | Tianyi Liu |
| Professional Title | Postdoctoral Researcher in Signal Processing and Machine Learning |
| tliu@nt.tu-darmstadt.de | |
| Website | https://tianyiliu.work |
Professional Summary
A passionate researcher in signal processing and machine learning
Experience
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2018 - 2025 Darmstadt, Germany
Research Associate
Communication Systems Group, TU Darmstadt
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2015 - 2015 Turin, Italy
Research Assistant
Politecnico di Torino
Developed a heuristic algorithm for optimizing the constellation in satellite communication. Implemented in C++.
Education
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2018 - 2024 Darmstadt, Germany
Dr.-Ing.
Technical University of Darmstadt
Electrical Engineering
- With distinction
- Thesis on A Parallel Successive Convex Approximation Framework with Smoothing Majorization for Phase Retrieval. Supervised by Prof. Dr.-Ing. Marius Pesavento and co-advised by Prof. Stefan Ulbrich. Committee members: Prof. Abdelhak M. Zoubir, Prof. Sebastian Schöps, and Prof. Mario Kupnik.
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2016 - 2018 Darmstadt, Germany
M.Sc.
Technical University of Darmstadt
Electrical Engineering
- With distinction
- Recipient of the Best Master Student Award from the Department of Electrical Engineering and Information Technology.
- Erasmus Double Degree Program between Technical University of Darmstadt and Politecnico di Torino.
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2015 - 2018 Turin, Italy
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2014 - 2015 Turin, Italy
B.Sc.
Politecnico di Torino
Telecommunications Engineering
- Double Degree Program PoliTong between Politecnico di Torino and Tongji University.
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2011 - 2015 Shanghai, China
Research Interests
- Sparse signal processing
- Parallel/distributed optimization methods: Focusing on nonconvex and nonsmooth problems
- Sensor array signal processing: Direction-of-arrival estimation
- Graph signal processing: Graph topology learning
- Algorithm unrolling
- Game theory: Generalized Nash equilibrium
- Cooperative localization and control of unmanned systems
Awards
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2024 Finalist of the IEEE SAM 2024 Best Student Paper Contest
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2019 IEEE SPS Student Travel Grant for the IEEE CAMSAP 2019
IEEE Signal Processing Society
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2019 Finalist of the EUSIPCO 2019 Best Student Paper Contest
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2018 Best Master Student Award
Dept. ETIT, TU Darmstadt
Skills
Programming: MATLAB, Python/Numpy/PyTorch, C/C++, Julia, Linux, Bash/Zsh, Git, CUDA
Optimization Tools: CVX, MOSEK, Gurobi, SCIP/SCIP-SDP, CPLEX
Writing and Note Management: Markdown, LaTeX, Obsidian, Zotero, PARA method, Neovim
Languages
Chinese : Native speaker
English : Fluent
Italian : Intermediate
German : Intermediate