Learning Based System Design and Optimization
MICS brings together experts across the diverse fields of data analytics, learning, system design, computing, and device technologies. Our collective goal is to leverage state-of-the-art AI technologies for revolutionizing the design and optimization of next generation engineering systems.

Real Time and Interactive AI
MICS faculty includes experts in the fields of statistical learning, information theory, signal processing, and data science.  Our collective research aim is integrate adaptive data collection processes with training, learning, and inference of generative AI models for real-time, predictive, and streaming applications.

Robustness, Security, Ethics, and Privacy for AI Systems
MICS faculty are leading experts in co-design and optimization of robust end-to-end systems across hardware, software, algorithms and data - and their isolation and interactions. This allows us to offer new approaches to explainability, trustworthiness, and privacy-preserving computations.