Ziyue Chu

The University of Edinburgh, Edinburgh, UK

MSc Artificial Intelligence • 2018.09 — 2019.11

Profound AI background with machine learning, probabilistic modelling and reasoning, and game theory;
Programming experience with Pytorch for reinforcement learning, and data mining with Python.

Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China

B.S. Automation Engineering • 2014.09 — 2018.06

• Average score: 86/100
• Admission to the university top experimental class (30/4500)
• Annual university scholarship for excellent academic performance (2014 — 2018)
• Third Prize in University Advanced Mathematics Competition (2017)
• Second Prize in University Undergraduate Physics Tournament (2017)
• University Wireless Studio member (2014 — 2015)

A-level academic performance with solid mathematics and automation background.

Neuhelium, ltd., Shanghai, China

AI research engineer • 2021.01 —

SuperProf. Corporation

Private Tutor for ML and Math courses • 2019.09 — 2022.06

Nanjing HaiMingWei High Tech Ltd. Corporation

Honorary Manager at Research Department • 2020.07 — 2021.07;

SINOPEC Yizheng Chemical Fibre Co., Ltd., Yangzhou, China

Technician Assistance Internship • 2017.07 — 2017.08

• Setting up the environment of Vdantrol-pro for DCS configuration, including control station’s I/O and custom variables & work station’s standard frames.
• Monitored the process of real-time production of PET in Central Control Room.

• [J] The perceived effects of augmented trail sensing and mood recognition abilities in a human–fish biohybrid system
• [C] A Hierarchical Bayes-Based Evolutionary Ensemble Classification Algorithm
• [P] A Transformer of Attractor Neural Network based on Neuron Structure in Digital Spiking Neural Network, CN114065912A
• [C] An Empirical Model of Goldfish Fleeing Strategy (to be published)

Swarm Intelligence with SNN

Team research project • 2021.06 — 2022.06 [Robotics & SNN & GA & Biology]

• A fish school interaction environment is simulated and demonstrated in WAIC 2021;
• Virtual robot fish are trained with SNN to live with the fish school and guide its movement with human interaction;
• SNN training structure is optimized by GA to reduce links with low spiking frequency from a fully connected graph.

Data Mining and Analysis for MSD Sales

Commercial project • 2021.01 — 2021.06 [Data Mining]

• Annual sales data analysis and anomaly cheat sales sorting for MSD, an international medical company;
• A random forest tree is applied to filter out normal sales records and 2nd distributors;
• A statistical anomaly reasoning module is provided.

Deep Q Learning for SpaceInvader & Simulation of two Game Environments

Self project • 2020.09 — 2020.12 [Game AI & Reinforcement Learning]

• A DQN model was implemented in SpaceInvader Atari Game Environment;
• TD error was estimated to optimize the 3-layer convolutional DQN in Pytorch;
• An experience replay memory class was implemented to exploit past experience and reduce correlation;
• Implementation of two Game Environments with Pygame: A car crash avoiding game & DaVince Coda, a popular board game.

Data Mining for Energy Usage in Informatics Forum

Group project • 2019.03 — 2019.04 [Data Mining & Deep Learning]

• Predict energy usage in Informatics Forum based on various features over 2 years data;
• PCA data preprocessing and Ridge Regression with polynomial kernel model;
• Supervised by Dr. Arno Onken.

Game Agents Exploration with Proximal Policy Optimization

Group project • 2019.01 — 2019.04 [Game AI & Reinforcement Learning]

• A self-learning agent (world model) with PPO-based controller for game 'Sonic 3 & Knuckles' based on Pytorch;
• Supervised by Antreas Antoniou (TA).

Intelligent Remote-controlled Figure-traceable Camera on Raspberry PI

Group project • 2017.11 — 2018.01 [Deep Learning & Automatic control]

• Intelligent home system design: Capture visitor's face, transmit to house-owner's mobile terminal and trace the visitor;
• A new algorithm transferring RGB image space to YCrCb space was implemented to increase the face recognition rate under extreme environment;
• Supervised by Prof. Shengshou Zhao.

programming language

Python (Pytorch, pandas, Scikit-learn, OpenAI) > C language > HTML

Digital content development and IT related

Data mining & analysis, Cloud-based computing, Linux confident user, Object-Oriented Programming, Web design, Front web development

Organizational leadership

Years of experience organizing academic conference in Model United Nations; Team leader for many group projects.

Google Data Analytics Certificate

Google Analytics Academy • 2021— 2024

Certificate of completion for the training course "Introduction to Data Studio"

Udacity Microsoft ML Scholarship Badge Winner

Microsoft Azure & Udacity • 2020

Udacity Microsoft ML Scholarship program

Vice President of university Model United Nations Association (First class student honor)

University Model United Nations Association • 2015

Elected VP of university MUN Association by the association.

Academic Director of University Model United Nations Conference

University MUN Association, sponsored by CATIC • 2014 — 2018

Invited Academic director by the university MUN Association.

Honorable Nomination Award of 12th China National Model United Nations

U.N. Association of China, East China University of Science and Technology • 2015

Awarded the outstanding performance in the 12th China National Model United Nations as delegate of Japan.