معرفی
Simone Teglia is a Research Fellow at ALCOR Lab, Sapienza University of Rome, working in the Department of Computer, Control and Management Engineering. He recently graduated with honors in a M.Sc. in Engineering in Computer Science from the same institution.
His primary research interests include:
- Natural Language Processing
- Computer Vision
- Deep Learning
- Multimodal Deepfake Detection
- Trajectory Prediction for Autonomous Vehicles
Simone has developed several notable projects including the Europarl Language Detection model using XLM-Roberta, which achieves 99% accuracy in identifying 21 European languages, and a Bi-LSTM Event Detector for NLP tasks. His work demonstrates expertise in both theoretical research and practical implementation of machine learning solutions.
His scientific contributions include publications at major conferences such as ACL 2025 and CVPR 2025 workshops. His research shows a strong trend toward multimodal AI systems that can address complex real-world problems in language understanding and transportation systems.
Notable achievements:
- Graduated with honors in M.Sc. in Engineering in Computer Science
- Development of high-accuracy language detection models
- Creation of synthetic datasets for urban traffic analysis
Simone is also an active developer with skills in React, Node.js, D3.js, and Three.js, having built the official website for TedxSapienzaU and created visualizations for Sapienza's student career data. His work bridges the gap between academic research and practical software development.
