CV

Education

• Ph.D in Computer Science, Télécom SudParis, 2028 (expected)
• Masters in Data Science and Computing, SSSIHL, 2024
• Bachelors in Computer Applications, SSSIHL, 2021

Skills

• Machine Learning and Data Science
  • Speech and Language Technologies (Focus on Low Resource Languages)
  • Natural Language Processing (Transformers, Word Embeddings, Text Classification)
  • Time Series Analysis and Forecasting
  • Visual Language Modelling
  • Data Visualization and EDA
• Computer Science
  • Python (NumPy, Pandas, Matplotlib, Scikit-learn, PyTorch, Transformers)
  • C/C++ (Memory Management, Pointers, Data Structures)
  • SQL (Queries, Joins, Normalization)
  • LaTeX (Document Preparation, Beamer)
• Mathematics and Statistics
  • Multivariate Statistical Analysis
  • Linear Algebra
  • Stochastic Processes
  • Optimization Techniques

Publications

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework.

Nguyen, Cong Huy et al. “Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework.” (2026). ACL 2026.

Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages

Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts

Aditya Narayan Sankaran, Reza Farahbakhsh, and Noel Crespi. 2025. Global Beats, Local Tongue: Studying Code Switching in K-pop Hits on Billboard Charts. In Proceedings of the Anthology of Computers and the Humanities.

Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning

Aditya Narayan Sankaran, Reza Farahbakhsh, and Noel Crespi. 2025. Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning. In Proceedings of the 31st International Conference on Computational Linguistics, pages 5558–5569, Abu Dhabi, UAE. Association for Computational Linguistics.

Revisiting the Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems

Aditya Narayan Sankaran, Vigneshwaran Shankaran, Sampath Lonka, and Rajesh Sharma. 2024. Revisiting the Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 14092–14102, Torino, Italia. ELRA and ICCL.

Other Activities

• Currently helping a team of 2 undergraduate students at HUST for their research projects on VLM on Medical Data.