Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

GPA: 3.41/4.0
Rank: 1/45
Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

GPA: 93/100
Rank: 1/155
Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.
Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.
Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.
Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024

Publication top Notes:

Series arc fault detection of indoor power distribution system based on LVQ-NN and PSO-SVM

CITED:83

Wasserstein Generative Adversarial Network and Convolutional Neural Network (WG‐CNN) for Bearing Fault Diagnosis

CITED:57

Fault detection on insulated overhead conductors based on DWT-LSTM and partial discharge

CITED:56

Wildland fire burned areas prediction using long short-term memory neural network with attention mechanism

CITED:30

Multi-parameter fire detection method based on feature depth extraction and stacking ensemble learning model

CITED:21

Partial discharge detection of insulated conductors based on CNN-LSTM of attention mechanisms

CITED:21

Prof. Abdullah Alhamdan, King Saud University, Saudi Arabia

Abdullah Mohamed Alhamdan is a distinguished Professor of Food Process Engineering and the Director of the Dates Industry & Technology Chair (CDIT) at King Saud University, Riyadh, Saudi Arabia. With a B.Sc. in Agricultural Engineering from King Saud University and an M.Sc. and Ph.D. from The Ohio State University, his expertise spans food processing engineering, focusing on the design of production lines, food packaging, and postharvest chain management. He is renowned for his work in dates and by-products processing, including innovative applications in dates and dairy products. Alhamdan has served as a consultant for various international and governmental bodies, such as FAO and SABIC, and has been pivotal in advancing dates technology. His contributions to the field have been recognized with several prestigious awards, including the International Prize of King Salman for Innovations (2017) and the International Khalifah Prize for Date Palm Technology

Research Interests: 🌾

Prof. Alhamdan specializes in Food Processing Engineering, focusing on:

Design of food industry production lines and food packaging

Applications of heat and mass transfer in food processing

Postharvest chain management

Dates processing and industry, including storage, freezing, and utilization of palm tree by-products

Development of innovative dairy and date-based products

Professional Activities: 🌟

Director of the Date Industry and Technology Chair (CDIT) at King Saud University

Board Member, Administrative Council of Irrigation and Drainage Authority, Ahsa

Board Member, Administrative Council of National Center of Date Palm (NCDP)

International Expert at FAO

Consultant to various organizations, including Saudi Development Fund, Arab Authority for Agricultural Investment and Development (AAAID), and more

Publication top Notes:

Impact of Storage Conditions on Fruit Color, Firmness and Total Soluble Solids of Hydroponic Tomatoes Grown at Different Salinity Levels

Non-Destructive Evaluation of the Physiochemical Properties of Milk Drink Flavored with Date Syrup Utilizing VIS-NIR Spectroscopy and ANN Analysis

Utilizing VIS-NIR Technology to Generate a Quality Index (Qi) Model of Barhi Date Fruits at the Khalal Stage Stored in a Controlled Environment

Utilizing Near-Infrared (NIR) Technology to Predict the Quality Index (Qi) Model of Barhi Dates Fruit at Khalal Stage Stored in a Controlled Environment