COVID-19 Research and Collaboration
As with all UC San Diego schools, we remain focused on ensuring that we take action to protect our community and the communities beyond our campus. The Center of Machine-Integrated Computing & Security is researching and collaborating with other departments within UC San Diego, with industry leaders and with government entities to find solutions to the challenges brought on by Covid-19.

Our latest initiative! Test phase for contact tracing app begins!! TraceCORONA: UC San Diego MICS and TU Darmstadt Partners in Germany provide a secure and privacy-preserving contact tracing app and communication platform against COVID-19 To obtain the app for testing please refer to https://tracecorona.net/


Our hardware acceleration and system optimization engines are automated – yet customized. We get best-in-class results. [Download a PDF of our brochure]

Real-time and Interactive Machine Learning
From low-power sensor nodes and mobile devices to data centers and the cloud, our customized performance optimization engine is automated and works across platforms. Our solutions integrate adaptive data collection processes with training, learning, and inference in real-time and streaming applications.

Optimized Deep Learning
Our framework allows for training of deep learning networks that are platform independent, and scale from sensors to mobile to data centers. We were the first to build and demonstrate deep-learning training on mobile devices.

Security and Privacy for Cyber-Physical Systems
To secure cyber-physical systems, we fully consider hardware, software, algorithms and data – and their isolation and interactions. This allows us to offer new approaches. Privacy-preserving computing is another focus. Secure embedded medical devices and privacy-preserving DNA analytics are just two examples.

Recent News


Deepfake detectors can be defeated, computer scientists show for the first time

Deepfake detectors can be defeated, computer scientists show for the first time

February 8, 2021

Systems designed to detect deepfakes --videos that manipulate real-life footage via artificial intelligence--can be deceived, computer scientists showed for the first time at the WACV 2021 conference which took place online Jan. 5 to 9, 2021.   Full Story


Five UC San Diego teams receive $100,000 to support groundbreaking research

Five UC San Diego teams receive $100,000 to support groundbreaking research

January 19, 2021

The Qualcomm Innovation Fellowship (QIF) recognizes creative Ph.D. students, providing them with funding, mentoring and other resources to pursue innovative research. This year, five UC San Diego Jacobs School of Engineering teams were awarded fellowships – four from Computer Science and Engineering and one from Electrical and Computer Engineering.   Full Story


Electrical engineer selected to lead Intel AI project

Electrical engineer selected to lead Intel AI project

December 7, 2020

Farinaz Koushanfar, a professor of electrical and computer engineering at the UC San Diego Jacobs School of Engineering, has been selected by Intel to lead one of nine inaugural research projects for the Private AI Collaborative Research Institute. Full Story


Industry Partners