Jiachen Xu

Nationality: China

Date of Birth: 19-12-1994

Cell: +49 15225122534

Email: or

Curretly I am pursuing for my master degree in Technical University of Munich, Germany. My research interest is brain computer interface (BCI), machine learning and brain/neural signal processing.

Education

Technical University of Munich Munich, Germany, 2016 - Present

  • Major: M.Sc Electrical Engineering and Information Technology
  • Orientation: Machine Learning, Brain Computer Interface, Robotics
  • Grade: 1,5 Download link

Beijing Institute of Technology Beijing, China, 2012 - 2016

Lab Experience

Institute of Cognitive Systems Aug, 2017 - Dec, 2017

  • Lab Type: Research Internship (Full time)
  • Topic: Evaluation of ICS semi-dry EEG headset Full Report
  • Description: Design and execution of experiment (Serial Reaction Time Task, Motor Imagery and ), Data cleaning (self-developed function), Analysis of SRTT and MI signal (ERD, ERSP, Significance analysis of channels)

Institute of Fractional Domain Signal
and System Jan, 2016 - Jun, 2016

  • Lab Type: Bachelor Thesis (Full time)
  • Title of thesis: Cooperative sparse signal processing based on distributed network Abstract (English)   Full thesis (Chinese)
  • Key-words of thesis: Sparse signal processing, Distributed network

Electrical and Electronic Teaching
Experimental Center July, 2014 - Sep, 2015

  • Lab Type: Research Assistant (Half time)
  • Description: Radar signal processing, Analysis of satellite positioning error, Analysis of different positioning system, Simulation of satellite orbit

Institute of Communication Technology July, 2013 - Sep, 2013

  • Lab Type: Summer Intern (Full time)
  • Description: Establishment of wireless MESH Network (multi-hopping network), WiFi-Phone
Project/Seminar Experience

Seminar: Transfer Learning for BCI Oct, 2017 - Feb, 2018

Biosignal Processing Apr, 2017 - Jul, 2017

  • Using sensorimotor signal to control movement of Trackbot (small car)
  • Programming with python

Biological Inspired Learning for
Humanoid Robots Apr, 2017 - Jul, 2017

  • Using CMAC/BPNN/RL model to train NAO robotics tracking a moving object
  • Programming with C++ in ROS
Publication

Empirical Mode Decomposition adding self-adaption high frequency harmonic wave (In Chinese) Mar, 2015

  • Abstract (English Version)
  • The hardware of algorithm: Accessit of Branch-contest of National Undergraduate extracurricular academic works competition

Bistatic Polar Format Algorithm Based on Wavenumber Vector Dec, 2014

Skills

EDV/Programming Skills

  • Advanced:Matlab(including GUI), Python, Latex
  • Intermediate: C, C++, STK (Satellite Tool Kit)
  • Basic: ASM, Verilog, VHDL, HTML, Mulitisim, Xlinx ISE, Vivado

Language Skills

    Chinese (Native), English(fluent), German(basic), Japanese (basic)