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Our research spans Natural Language Processing, Generative AI, Time Series Forecasting, and Music AI, with a focus on real-world applications and scalable AI systems.

🚀 Research

🧠 Natural Language Processing

We focus on developing robust and efficient NLP models for real-world applications, including:

• Aspect-Based Sentiment Analysis (ABSA / ASQP)
• Named Entity Recognition (NER)
• Knowledge Graph construction and reasoning

🤖 Generative AI

Our research explores large language models and retrieval-augmented systems for domain-specific applications:

• Large Language Models (LLMs)
• RAG Systems for Question Answering and Legal Applications

📊 Time Series & Forecasting

We develop deep learning models for time series prediction and real-time analytics:

• Airport Visibility Prediction
• LSTM / BiLSTM / Transformer-based models
• Real-time interactive dashboards

🎹 Music AI

We explore AI techniques for music understanding and performance modeling:

• Piano Fingering Prediction