I spend my time developing new forms of intelligent systems that are capable of perceiving multi-modal data to work under complex real-world scenarios, while achieving extreme levels of efficiency. My research lies at the intersection of machine learning (ML) systems and data science, and primarily focuses on understanding the computational challenges of end-to-end ML systems from both algorithm and systems perspectives.
Earlier in my academic career, I have developed a variety of localisation, communication and coordination protocols for mobile sensing platforms, ranging from sensor networks/IoT, mobile/wearable devices, and robots.