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

Dr. Meriam lahsaini, CNR, Italy,

Meriam Lahsaini is a highly skilled professional with extensive experience in geospatial data management, environmental monitoring, and remote sensing applications. Born on May 2, 1988, in Morocco, she currently resides in Ferrara, Italy. Meriam holds a key consultancy role at the European Commission’s Joint Research Centre (JRC) in the Knowledge Centre of Earth Observation (KCEO), where she contributes to the wetland project by mapping wetlands across Europe and developing information systems. She has also held multiple post-doctoral research positions at esteemed institutions such as CNR-IGG, CNR-IMAA, and CNR-IRPI in Italy, focusing on database design, satellite data analysis, and environmental monitoring systems.In her professional journey, Meriam has demonstrated expertise in developing atmospheric correction algorithms for optical images, creating conceptual and logical models for geospatial databases, and implementing WebGIS interfaces for spatial data visualization. Her work at Sidi Mohamed Ben Abdellah University in Morocco involved managing natural risk data and developing interactive web cartographic interfaces for flood risk management. She has also provided her GIS analytical skills to Wed Etude Marocco srl and Maroc-Ingenov Morocco srl, enhancing their spatial and urban analysis services. Meriam’s diverse experience reflects her proficiency in using advanced geospatial technologies and her dedication to environmental research and data management.

EDUCATION

Ph.D. in Environmental Sciences

Institution: CNR-IMAA (National Research Council – Institute of Methodologies for Environmental Analysis), Tito Scalo, Italy
Title of Thesis: Development of a modular monitoring system for inland and coastal water quality based on satellite data.
Project: IDEWA – Irrigation and Drainage monitoring by remote sensing of Ecosystems and Water resources management.

PROFESSIONAL EXPERIENCE

01/10/2023 – Present

Consultant at European Commission – JRC

Joint Research Centre, Knowledge Centre of Earth Observation (KCEO), Ispra, Italy
Activities:
- Working on the wetland project for mapping wetlands across Europe and implementing an information system.
- Writing technical reports for certification by Member States.
- Working on URDB database to identify requirements for all directorates in the European Commission.
- Creating surveys for data collection and glossaries.
- Developing frontend interfaces for data visualization.

01/06/2023 – 31/05/2024

Post-Doctoral Researcher

CNR-IGG (National Research Council – Institute of Geosciences and Earth Resources), Pisa, Italy
Title: “Design, implementation, and management of a database, including geographical data, and its interface for visualization and interrogation.”
Activities:
- Establishing a database for the Geothermal Infrastructure in Tuscany using INSPIRE UML models.
- Creating conceptual models (CM) in Enterprise Architect.
- Developing logical models (LM) in PostgreSQL using DBeaver.
- Implementing the database (DB) and creating SQL queries.
- Designing and implementing frontend using Streamlit apps.
- Creating interfaces using HTML and CSS.
- Implementing WebGIS for spatial data visualization (e.g., wells, geothermal power plants, monitoring stations).

01/09/2022 – 31/05/2023

Post-Doctoral Researcher

CNR-IMAA (National Research Council – Institute of Methodologies for Environmental Analysis), Tito Scalo, Italy
Title: “Development of a modular monitoring system for inland and coastal water quality based on satellite data.”
Project: IDEWA – Irrigation and Drainage monitoring by remote sensing of Ecosystems and Water resources management.

Publication top Notes:

CITED : 8

CITED : 4

CITED : 3

CITED : 2