Research Expertise and Interest

integrated circuits, solid-state devices, sensors, semiconductor manufacturing, energy efficiency, smart buildings

Research Description

Costas J. Spanos' current research interests include the application of statistical  analysis in the design and fabrication of integrated circuits, and the  development and deployment of novel sensors and computer-aided  techniques in semiconductor manufacturing. He is also working towards the  deployment of statistical data mining techniques for energy efficiency  applications, and is the Principal Investigator of the Singapore based  SinBerBEST project, focusing on energy efficient buildings. In 2000 he was elected Fellow of the Institute of Electrical and Electronic  Engineers for contributions and leadership in semiconductor  manufacturing, and in 2009 he was appointed in the Andrew S. Grove  Distinguished Professorship, in the Department of Electrical Engineering  and Computer Sciences.

In the News

COVID-19 first target of new AI research consortium

The University of California, Berkeley, and the University of Illinois at Urbana-Champaign (UIUC) are the headquarters of a bold new research consortium established by enterprise AI software company to leverage the convergence of artificial intelligence (AI), machine learning and the internet of things (IoT) to transform societal-scale systems.

Costas Spanos Appointed New CITRIS Director

Costas Spanos, the Andrew S. Grove Professor and Chair of Electrical Engineering and Computer Sciences, will become the fourth Director of CITRIS (the Center for Information Technology Research in the Interest of Society).

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
April 1, 2020
Gregory Barber
Electrical engineering and computer sciences professor Costas Spanos is profiled in an article about his mission to use artificial intelligence to cut office energy use by half, as one way of addressing climate change. The story talks about how Singapore turned to him to help the heavily built tropical nation reduce its air conditioning use to ease climate risks. The author writes: "Recently, the Singaporean government offered Spanos a floor in an office building to renovate. After he finished in January, workers returned to an unassuming new interior evoking the aesthetics of a hip budget airline. The room had been packed with tiny sensors detecting humidity, light, temperature, and CO2 concentration; Spanos had also devised a way to use Wi-Fi to triangulate people's locations by detecting their phones as they move through space. The theory: Armed with that anonymized data, the system would learn the workers' movements, schedules, and preferences and tweak their environment to suit. ... If the workers got too hot or too cold, they could tap an app to say so. The AI would adapt, creating microclimates to reflect their feedback. But in time, Spanos expected, the workers wouldn't bother. His goal is to make the system forgettable."
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