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Moi, I am Linzh

Linzh

I am now a masters student in data science from University of Helsinki. I used to work in China as a machine learning engineer & researcher, backend developer and cross-platform application developer.

Skills

Research

1
Spectral-based time series map convolutional neural networks traffic flow prediction

May 2022 - July 2022,

Hubei Natural Science Foundation Program

Responsibilities:
  • Cleaned the data jointly collected.
  • Research on laplacian matrix calculation and optimization method for graph convolution.
  • Design and build a graph convolutional network, which combined with GRU.
  • Train and test the model I build.
  • Draft paper preparation.

Electric vehicle battery failure prediction

Nov. 2021 - Apr. 2022,

Hubei Natural Science Foundation Program

Responsibilities:
  • Cleaned the data provided by other members.
  • Investigate the kinds of problems in failure data, using multiple machine learning methods.
  • Design and build a bidirectional deep GRU neural networks to predict failures.
  • Train and test the model I build.
  • Draft paper preparation.
2

3
Educational Quality Evaluation Indexes from the Perspective of UNESCO's Sustainability Goal

July 2021 - Mar. 2022,

National College Student Innovation and Entrepreneurship Training Program

Responsibilities:
  • Cleaned the data jointly collected
  • Build the model to fit data
  • Reviewed the relevant scientific research literature and shared it at the group meetings

Automated Agricultural Machinery based on Lightweight Neural Network and Machine Learning

Jun. 2020 - May 2022,

Internet+’ Innovation and Entrepreneurship Competition

Responsibilities:
  • Researched the characteristics of crops, and independently counted the scale characteristics and color value characteristics of crops using CenterNet, laying the foundation for follow-up work.
  • Cooperatively researched the communication and control of remote agricultural machinery manipulation. My responsibilities are mainly research on signal transmission, anti-interference, and encryption methods in a wireless environment.
4

5
Recognition Model for Targets in Ocean

Oct. 2020 - Dec. 2020,

Ocean Target Intelligent Perception International Challenge

Responsibilities:
  • Studied the characteristics of marine targets, and cooperated to study the data enhancement method, Albumentation; Due to large differences in target scales, SNIP was deployed to enhance multi-scale performance.
  • Built an object detection model, and independently used the SSD model to complete the identification of ocean targets.

Public Transportation Safety Monitoring System

Apr. 2020 - Sept. 2020,

Natural Science Foundation Program of Hubei Province and Siemens Cup China Intelligent Manufacturing Challenge

Responsibilities:
  • Researched face recognition methods and independently completed the face recognition TensorFlow model, completed the system construction and code writing of face recognition, feature vector extraction, face comparison, clustering, etc., and wrote the model part as a paper.
  • Researched the mild face recognition network of vehicle embedded system, cooperated to complete the development of the embedded terminal based on K210 and independently finished the construction and training of the neural network.
  • Researched graph databases and dual-database methods, independently applied graph database significantly shortening the search time and improving efficiency. The dual-database method was proposed to avoid the performance degradation caused by index establishment.
  • Cooperated to complete the system-level test, and my responsibility was mainly data security, neural networks, databases, visualization, etc.
6

7
Signal Timing Optimization System for Ecological Intersections based on Edge Computing

Nov. 2019 - Aug. 2020,

National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction

Responsibilities:
  • Proposed a mathematical model of traffic intersections, and cooperated with classmates to apply fuzzy control and sparrow particle swarm optimization methods, and wrote related programs.
  • Researched vehicle recognition methods to enhance robustness, independently completed the vehicle recognition TensorFlow model and completed the system construction and code writing of vehicle recognition, statistics, and signal cycle calculations.
  • Deployed edge computing nodes and configured the operating environment, and independently completed the environment configuration and model deployment on NVIDIA Jetson AGX Xavier, enabling the model to be run on edge computing nodes.
  • Developed a cloud platform and cooperated with classmates to complete the construction of the web platform and completed the communication between the edge computing node and the cloud platform.
  • Cooperated to complete the system-level test, and my responsibility was mainly the edge computing node, neural network, and communication parts.

Human Vital Signs Detection Equipment with Optical Fiber Sensing

Aug. 2019 - May. 2020,

Challenge Cup National Undergraduate Curricular Academic Science and Technology Works by Race

Responsibilities:
  • Studied the separation technology of human heartbeat and respiratory signals and working with graduate students to find a good signal separation plan, finally deployed the Hilbert transform and completed the matrix iterative operation.
  • Studied the communication between embedded components and servers, server-side programs and databases, and independently developed server-side programs to receive and process human vital signs.
  • Developed apps and desktop applications, enabling the results to be visually accessed in a wide range using the server-side program in conjunction.
  • Studied the relationship between signals and health, and summarized the relationship between BCG signal and health with graduate students; The recognition rate of sinus tachycardia, sinus breadiness, and sinus irregularity is almost 100%, and the recognition rate of the sinus with premature atrial is more than 80%.
  • Independently established machine learning models to analyze human health and provided suggestions.
8

Work

1
Wuhan QK Information Technology Development Co., Ltd.

June 2020 - June 2022, Wuhan, China

The company provides solutions for university informatization platform construction, industrial-grade artificial intelligence product development, and digital upgrade solutions for government and enterprises.

Machine Learning Researcher and Engineer

July 2019 - June 2022

  • Research computer vision technology and develop industrial-grade application products.
Mobile App Engineer

Nov. 2019 - June 2022

  • Design, manage and develop All in One campus mobile application.
  • Lead development team and supervise design team.
Backend Engineer

June 2020 - June 2022

  • Design, manage and develop the background for the above App.

Education

B.E. in Information Engineering
Extracurricular Activities
  • National Scholarship for Undergraduate and Junior College Students
  • National Second Prize of Challenge Cup National Undergraduate Curricular Academic Science and Technology Works by Race
  • National Third Prize of National University Student Social Practice and Science Contest on Energy Saving & Emission Reduction
  • National Third Award of the Ocean Target Intelligent Perception International Challenge
  • National Third Prize of National 3D Digital Innovative Design Competition