빅데이터시스템&AI

Building the next generation of intelligent computing through the seamless integration of data, AI, systems, and hardware. Our seven interconnected research pillars translate the D.A.S.H. vision into concrete advances across the full computing stack. Our research is dedicated to advancing the next generation of intelligent data and computing systems by holistically integrating innovations across seven key domains. High-performance, AI-centric data platforms that unify diverse data and enable intelligent data infrastructure at scale. Co-optimizing algorithms, software, and emerging hardware for data- and AI-intensive workloads. System infrastructures optimized for AI workloads across diverse environments, bridging algorithm design and real-world deployment. Exploring quantum computing to unlock new capabilities in data management and machine learning. Leveraging ML to build self-optimizing systems with learned optimization, predictive scheduling, and adaptive management. New paradigms for large-scale AI models with a focus on accuracy, efficiency, and scalable deployment. We seek motivated students and researchers who want to grow as independent scholars and contribute to high-impact data and AI-centric research. We welcome motivated graduate students who want to grow as independent researchers. Students are expected to identify important problems, design rigorous solutions, conduct careful experiments, and communicate their work through high-quality publications. We welcome postdoctoral researchers interested in leading data and AI-centric research with strong academic and real-world impact. You will have opportunities to define independent research directions, collaborate with international partners, and contribute to high-impact publications. Undergraduate students ca