Liu Zhen

Liu Zhen

Master of Science in Electronics

Nanyang Technological University

Biography

Liu Zhen is a Master student in Nanyang Technological University with experience in Machine Learning(PyTorch), Simultaneous Localization and Mapping and DevOps (docker/k8s). His research interests include distributed robot swams, edge computing and programmable hardware.

Interests
  • Artificial Intelligence
  • Simultaneous Localization and Mapping
  • Automatic DevOps
Education
  • MSc in Electronics, 2022-2023

    Nanyang Technological University

  • BEng in Electronical Information Technology, 2018-2022

    Wuhan University of Science and Technology

Skills

Python

Expert

Linux

Expert

matlab
Matlab

Expert

docker

Experienced

algorithm

Experienced

pytorch
PyTorch

Experienced

Projects

*
Human Destiny Community:If Seas Change into Mulberry Field…
  • Constructed sea level rise model related to human activities to quantitatively predict the global average sea level height and the scale of environmentally displaced persons;
  • Proposed solutions to relocate EDP through cooperative game theory;
  • Wrote thesis independently;
  • Received Finalist Prize.
Human Destiny Community:If Seas Change into Mulberry Field...
Full color FDM 3D Printer with Machine Learning Feedback
  • Implemented colour control algorithms;
  • Implemented the control system based on an STM32 chip;
  • Received First Prize in “The Challenge Cup” (National)
Full color FDM 3D Printer with Machine Learning Feedback
Full color FDM 3D Printer with Machine Learning Feedback
  • Developed Multiple models to quantify musical influence;
  • Applied RNN neural network to analyze the development of “music’s impact on network” in time series;
  • Received Meritorious Winner Prize.
Full color FDM 3D Printer with Machine Learning Feedback

Experience

 
 
 
 
 
Machine Learning
April 2023 – Present Singapore

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 
University X
Professor of Semiconductor Physics
University X
January 2016 – December 2020 California
Taught electronic engineering and researched semiconductor physics.

Accomplish

Coursera
Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
DataCamp
Object-Oriented Programming in R
See certificate

Contact

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