ECE Prof. B. S. Manjunath, an expert on computer vision/AI, along with collaborators Materials Prof. Tresa Pollock and BioEngineering Prof. Beth Pruitt, receive a National Science Foundation (NSF) ...

Entangled photons are at the heart of a variety of different and powerful quantum applications. By exploiting this unique quantum phenomenon, in which information correlates between two or more ...

Modern AI workloads are changing the way that datacenters are architected to support low-latency communication across thousands of distributed GPUs, TPUs, and custom inference ASICs. In this talk, ...

Nina Miolane received her M.S. in Mathematics from Ecole Polytechnique (France) & Imperial College (UK), and her Ph.D. in Computer Science from INRIA (France) in collaboration with Stanford University ...

The MS degree program provides a wide variety of research and course opportunities from control theory to nanofabrications; device fabrication to image processing; communications to quantum mechanics; ...

The seminar series explores cutting-edge research in all areas of ECE, facing the grand challenges of our time. It focuses on a wide range of topics in ECE, including microelectronics, photonics and ...

Excerpt from The UCSB Current article "Best in Building" The sleek and shimmering modern building that houses UC Santa Barbara’s Institute for Energy Efficiency is earning major accolades for its ...

ECE graduate student Kamyar Parto receives a Department of Energy (DOE) Office of Science Graduate Student Research (SCGSR) research award to conduct thesis research at a DOE national laboratory Two ...

Electrical and Computer Engineering (ECE) majors play an essential role in the technologies that modern society runs on: The integrated circuits that enable smart phones and laptops to perform ...

Graduate studies in ECE are broad and encompass many diverse areas such as computers and digital systems, control, communications, electronics, signal processing, electromagnetics, electro-optics, ...

The field of Signal Processing is concerned with the design and implementation of algorithms for manipulating, forecasting or classifying signals containing information. Examples include ...