Experience

Research Associate

Communication Systems Group, TU Darmstadt

Research Assistant

Politecnico di Torino

Developed a heuristic algorithm for optimizing the constellation in satellite communication. Implemented in C++.

Education

Dr.-Ing. in Electrical Engineering and Information Technology

Technical University of Darmstadt

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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M.Sc. in Electrical Engineering and Information Technology

Technical University of Darmstadt

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. Thesis on A scalable graph-based mixed-integer linear programming approach for the examination timetabling problem.
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M.Sc. in Communications and Computer Networks Engineering

Politecnico di Torino

Cum laude

B.Sc. in Telecommunications Engineering

Politecnico di Torino

Double Degree Program PoliTong between Politecnico di Torino and Tongji University

B.Eng. in Electronics and Information Engineering

Tongji University

Skills
Programming
MATLAB
Python
C/C++
Julia
Linux
Bash/Zsh
Git
CUDA
Optimization Tools
CVX
MOSEK
Gurobi
SCIP/SCIP-SDP
CPLEX
Writing and Note Management
markdown markdown
LaTeX
Obsidian
Zotero
PARA method
Neovim
Awards
Finalist of the IEEE SAM 2024 Best Student Paper Contest
2024
IEEE SPS Student Travel Grant for the IEEE CAMSAP 2019
IEEE Signal Processing Society ∙ 2019
Finalist of the EUSIPCO 2019 Best Student Paper Contest
2019
Best Master Student Award
Dept. ETIT, TU Darmstadt ∙ 2018
Participated Projects
  • German Research Foundation (DFG), “The partial relaxation method in direction-of-arrival estimation: Design and analysis”, PI: Prof. Marius Pesavento, €300K, 2019-2025
  • DFG priority program on Compressed Sensing in Information Processing (CoSIP), “Exploiting structure in compressed sensing using side constraints: From analysis to system design – Funding phase II”, PI: Prof. Martin Haardt, Prof. Marc Pfetsch, Prof. Marius Pesavento, €300K for each group, 2018-2021
Academic Service
  • Reviewer for IEEE Signal Processing Letters, 2024
  • Reviewer for Elsevier Signal Processing, 2023
Teaching

Teaching Assistant at Technical University of Darmstadt

  • 18-pe-2080 Graph Signal Processing, Learning and Optimization

    Winter Semester 2020/21 – Winter Semester 2024/25

  • 18-pe-2070 Matrix Analysis and Computations

    Summer Semester 2019 – Summer Semester 2024

  • 18-pe-2050 Project Seminar: Procedures for Massive MIMO and 5G

    Summer Semester 2020

  • 18-pe-2030 MIMO Communication and Space-Time Coding

    Winter Semester 2018/19 – Winter Semester 2019/20

Languages
100%
Chinese Native
80%
English Fluent
60%
Italian Intermmediate
60%
German Intermmediate