Experience

  1. Research Associate

    Communication Systems Group, TU Darmstadt

  2. Research Assistant

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

Education

  1. 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.
    Read Thesis

  2. 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.
    Read Thesis

  3. M.Sc. in Communications and Computer Networks Engineering

    Politecnico di Torino
    Cum laude

  4. B.Sc. in Telecommunications Engineering

    Politecnico di Torino
    Double Degree Program PoliTong between Politecnico di Torino and Tongji University

  5. 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
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
75%
English
50%
Italian
25%
German