Lu Zhang

Lu Zhang

Machine Learning Engineer

Globit Co., Ltd

Biography

Lu Zhang is a machine learning engineer at Globit Co., Ltd, South Korea. He holds a master’s degree in Applied AI from Hanyang University, South Korea, and a bachelor’s degree in Software Science from Dankook University, South Korea. He was a research assistant at the AI·Cybersecurity Lab under the supervision of Prof. Yeonjoon Lee at Hanyang University and a Data Science for Social Good fellow at the University of Warwick. His research interests lie in AI for Online Safety, Computational Social Science, and Social Media Analysis.

Interests
  • AI for Online Safety
  • Computational Social Science
  • Social Media Analysis
Education
  • MS in Applied Artificial Intelligence (with a major in Bio AI), 2023

    Hanyang University, South Korea

  • BS in Software Science, 2021

    Dankook University, South Korea

Research Experience

 
 
 
 
 
Machine Learning Engineer
Globit Co., Ltd
January 2024 – Present Jeju, Korea
Constructing several machine learning-based projects associated with ocean fish farming
 
 
 
 
 
Data Science for Social Good fellow
The University of Warwick
June 2023 – August 2023
Constructed a machine learning-based pipeline for detecting Green Messaging on social media and assessing the potential of companies engaging in Greenwashing
 
 
 
 
 
Research Assistant
The AI·Cybersecurity Lab @ Hanyang University
February 2021 – August 2023
Conducted research on medical data and cybercriminal activity detection&measurement on Chinese social media.

Selected Projects

Towards Greenwashing Detection - a Deep Learning-Based Mechanism for Greenwashing Identification
Greenwashing is a growing form of climate misinformation, designed to distract the public from the environmentally harmful activities of companies such as fossil fuel producers. Greenwashing strategies are typically subtle, not containing outright falsehoods but painting a misleading picture by emphasising environmentally beneficial activities while neglecting to communicate that the net effect of the company’s activities are negative.
Short Video Illicit Promotional Content Detector on Chinese TikTok
Illicit promotional contents (IPCs) are advertising materials or campaigns that violate platform policies by employing deceptive, misleading, or fraudulent practices to promote products, services, or events. As short video platforms have gained popularity, these illicit contents have adapted to take the form of short videos,which we define as Short Video-Illicit promotional contents (SV-IPCs), becoming increasingly prevalent.

Publications

Quickly discover relevant content by filtering publications.

Recent Posts

Popular Topics