Research

Our research aims to advance large language models (LLMs) to serve as comprehensive scientific research assistants. We are investigating the current limitations of LLMs in tasks that require deep understanding and reasoning beyond textual data, such as interpreting tables and figures in scientific literature.

Hybrid Modelling is an emerging research area that combines the strengths of different modeling approaches, such as first-principles models and data-driven models, to create more accurate and robust representations of complex systems.

Process Control is a vital research area that deals with the design and implementation of control strategies for industrial processes. The goal is to maintain process variables, such as temperature, pressure, and flow rate, within desired ranges to ensure product quality, safety, and efficiency.