RESEARCH OVERVIEW
Our research sits at the intersection of crystallization science, particle engineering, and real-time process monitoring to link how crystals form, how particles behave, and how we measure and control these processes.
RESEARCH THEMES
Solid-state Engineering for Pharmaceutical Crystallization
Ensuring reliable drug performance and safety requires precise control over pharmaceutical solid-state properties such as morphology, form, particle size etc., that govern bioavailability, stability, and manufacturability. Our research focuses on the engineering of polymorphs, salts, and cocrystals by integrating solid-state characterization, molecular simulations, and data-driven models. By identifying the intermolecular interactions and process factors controlling nucleation and crystal growth, our work aims to enable rational, knowledge-driven selection and control of solid forms in pharmaceutical development.
External Field Driven Control of Crystallization Processes
This project investigates how external fields can be employed as control parameters in crystallization, offering new opportunities for materials and pharmaceutical engineering. Using ionic liquids as crystallization media, owing to their high field transmissibility and tunable solvation environments, this research examines how external fields influence crystal orientation, growth kinetics, and solid-state outcomes. The overarching aim is to develop field-enabled crystallization strategies that enable rational tuning of crystal properties and access to novel solid-state forms.
Online Process Monitoring and Control of Slurry-Based Systems
Ensuring consistent product quality in solid-state and particulate processes requires real-time insight into evolving material attributes such as particle size, concentration, form, morphology etc. Our research focuses on advancing process analytical technology (PAT) approaches for predictive, in-situ monitoring of slurries and solid-liquid systems. By coupling online measurements with data-driven models, the work translates process signals into actionable information on solid-state evolution during operations such as crystallization. The broader goal is to enable knowledge-driven monitoring and control of solid-state processes, supporting quality-by-design frameworks and robust pharmaceutical and materials manufacturing.