Lucas Raniére Juvino Santos
Ph.D., Developer and Researcher
About
I am a computer scientist working at the intersection of social computing, natural language processing, and machine learning, with research spanning political polarization on social media, intelligent agents for fact-checking, and applied computer vision. I currently work on Judo-AI, applying computer vision to combat sports.
Academic Experience
Ph.D. in Computer Science
- Research topics: political polarization and radicalization on social media networks.
- December 2023 – August 2024: Visiting Ph.D. Researcher at Indiana University (Bloomington, Indiana).
Master's Degree in Computer Science
- Research topics: experimental software engineering and software artifact traceability.
- Dissertation: Improving Traceability Recovery Between Bug Reports and Manual Test Cases.
Bachelor's Degree in Computer Science
- Research topics: text translation into sign language and digital inclusion of deaf people.
- Term paper: Use of Probabilistic Reasoning to Resolve Lexical Ambiguities in Portuguese.
Research Projects
Judo-AI — Applied Computer Vision for combat sports
- Computer vision
- Object detection
- Video segmentation
- Human action recognition
- Video understanding
Agents4Good — Intelligent Agents for Automatic Fact-checking
- Social computing
- AI agents
- LangChain and LangGraph
- Natural language processing
- Speech analysis
- Argument analysis
- Toxicity detection
Advanced Intelligent Channels — Applied ML for sales/support chat automation
- Natural language processing
- Machine learning
Publications
Can Large Language Models Effectively Mitigate Polarization in Social Media Text?
Proceedings of the 17th ACM Web Science Conference (WebSci '25). ACM, New York, NY, USA, 348–357.
Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil
Proceedings of the Brazilian Symposium on Multimedia and the Web (WebMedia '22). ACM, New York, NY, USA, 99–107.
Improving Traceability Recovery Between Bug Reports and Manual Test Cases
Proceedings of the XXXIV Brazilian Symposium on Software Engineering (SBES '20). ACM, New York, NY, USA, 293–302.