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. 

Recent News


Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems

Advanced AI-Based Techniques Scale-up Solving Complex Combinatorial Optimization Problems

June 10, 2024

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego.    Full Story


Computer Scientists Find New Cybersecurity Attacks on Hardware and Software

Computer Scientists Find New Cybersecurity Attacks on Hardware and Software

April 26, 2024

Researchers have found two novel types of attacks that target the conditional branch predictor found in high-end Intel processors, which could be exploited to compromise billions of processors currently in use.  Full Story


UC San Diego Among Multidisciplinary Awards Providing $221M Nationally for Cutting-Edge Projects

UC San Diego Among Multidisciplinary Awards Providing $221M Nationally for Cutting-Edge Projects

April 16, 2024

Three Jacobs School faculty are part of projects funded by the Multidisciplinary University Research Initiative awards program this year. They are Kamalika Chaudhuri in the Department of Computer Science and Engineering, and Jorge Cortes and Boris Kramer in the Department of Mechanical and Aerospace Engineering.  Full Story


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