Lu Zhang

Lu Zhang

PhD Student

Georgia State University

Biography

I am a first-year PhD student in Computer Science at Georgia State University. My research interests lie in AI for Online Safety, Computational Social Science, and Social Media Analysis. Specifically, I am interested in (I) analyzing darknet content to explore its reflections on the clearnet and real-world dynamics and (II) detecting, uncovering, and combating harmful content on social media (e.g., misinformation, illicit services, yellow journalism) using AI to create transparency and safeguard users.

Prior to joining GSU, I spent wonderful time as an islander (제주도민) on Jeju Island, where I worked as an AI specialist, developing data and machine learning pipelines for smart aquaculture. I hold 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. During my Master’s, I had an eye-opening and inspiring summer at the University of Warwick, UK, where I collaborated with researchers from diverse disciplines and gained invaluable insights into leveraging data science for social good.

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

 
 
 
 
 
Graduate Assistant
Georgia State University
August 2024 – Present
Leveraging data mining and machine learning methods on researching darknet.
Teaching Assistant: CSC 4780 - Fundamentals of Data Science
 
 
 
 
 
AI Specialist
Globit Co., Ltd
January 2024 – August 2024
Contributed to and completed AI-related concepts of business plans and proposals. Developed several machine learning-based data processing pipelines associated with ocean fish farming, including 1. Optimal fish feed quantity calculation; 2. Water composition prediction; 3. Flatfish weight growth prediction; and 4. Flatfish individual re-identification using CCTV camera.
 
 
 
 
 
Fellow
June 2023 – August 2023
Contributed to a machine learning-based pipeline for detecting Green Messaging on social media and assessing the potential of companies engaging in Greenwashing
 
 
 
 
 
Research Assistant
February 2021 – August 2023
Conducted research on medical data and cybercriminal activity detection&measurement on Chinese social media.
1. Detect&Measure Illicit Promotion on Chinese Short Video Platforms
2. Analyzing Dynamics of Pro-China and Anti-China Propagation on Social Media

Selected Projects

Towards Greenwashing Detection - a Deep Learning-Based Mechanism for Greenwashing Identification
Project of the team of Greenwashing, DSSGx@the University of Warwick, Summer 2023 Abstract 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.
Short Video Illicit Promotional Content Detector on Chinese TikTok
Project of my master thesis@Hanyang University, 2023 Abstract With the rapid expansion of wireless infrastructure and smart devices, short video platforms have become a staple of modern digital ecosystems, offering convenience but also introducing new risks.

Publications

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Service

Teaching Assistant: CSC 4780 - Fundamentals of Data Science, 2024
                                     CSC 1302 - Principles of Computer Science II, 2025
Reviewer: The International AAAI Conference on Web and Social Media (ICWSM) ’25
Member&Freshman Mentor: Dankook University International Student Association, 2019-2021

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