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


2022 Research Highlights

2022 Research Highlights

December 20, 2022

From tools to track the origin and spread of COVID-19, to making homes safer in earthquakes, to using smartphones as diagnostic tools, researchers at the Jacobs School of Engineering pioneered important work in 2022. A few highlights of our outstanding research this year are here. Full Story


San Diego Union-Tribune previews opening of Franklin Antonio Hall

San Diego Union-Tribune previews opening of Franklin Antonio Hall

September 9, 2022

Just weeks before the grand opening on Sept. 23, the San Diego Union-Tribune published an extensive story about Franklin Antonio Hall, the latest building at the UC San Diego Jacobs School of Engineering. The sleek and soaring structure is located across the street from to Atkinson Hall, near the campus’ Warren College neighborhood.    Full Story


Tara Javidi awarded $1M NSF grant to make wireless networks more resilient

Tara Javidi awarded $1M NSF grant to make wireless networks more resilient

April 20, 2022

Tara Javidi, a professor of electrical and computer engineering at UC San Diego, has received a $1M award from the National Science Foundation’s Division of Computer and Network System as part of NSF’s new Resilient & Intelligent NextG Systems (RINGS) program. Javidi was awarded the grant to design a new generation of wireless networks that are resilient to unforeseen disruptive events, such as a weather event that can disable base station operations. Full Story


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