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  Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.
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  Computer science deals with the theory and practice of algorithms, from idealized mathematical procedures to the computer systems deployed by major tech companies to answer billions of user requests per day.
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  Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
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Tim Kraska

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Associate Professor, [CS and AI+D]

(510) 926-5856

Office: 32-G914

Research Areas

Artificial Intelligence + Machine Learning
Systems and Networking

Latest News

Department of EECS announces 2022 promotions

The Department of EECS is proud to announce the following promotions and hire: To Associate Professor with tenure Guy Bresler is being promoted to Associate Professor with tenure, effective July 1, 2022. Bresler...

August 11, 2020

Data systems that learn to be better

One of the biggest challenges in computing is handling a staggering onslaught of information while still being able to efficiently store and process it. Big data has gotten...

Drag-and-drop data analytics

The system lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more.

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